Observation Care in Children's Hospitals

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Differences in designations of observation care in US freestanding children's hospitals: Are they virtual or real?

Observation medicine has grown in recent decades out of changes in policies for hospital reimbursement, requirements for patients to meet admission criteria to qualify for inpatient admission, and efforts to avoid unnecessary or inappropriate admissions.1 Emergency physicians are frequently faced with patients who are too sick to be discharged home, but do not clearly meet criteria for an inpatient status admission. These patients often receive extended outpatient services (typically extending 24 to 48 hours) under the designation of observation status, in order to determine their response to treatment and need for hospitalization.

Observation care delivered to adult patients has increased substantially in recent years, and the confusion around the designation of observation versus inpatient care has received increasing attention in the lay press.27 According to the Centers for Medicare and Medicaid Services (CMS)8:

Observation care is a well‐defined set of specific, clinically appropriate services, which include ongoing short term treatment, assessment, and reassessment before a decision can be made regarding whether patients will require further treatment as hospital inpatients. Observation services are commonly ordered for patients who present to the emergency department and who then require a significant period of treatment or monitoring in order to make a decision concerning their admission or discharge.

 

Observation status is an administrative label that is applied to patients who do not meet inpatient level of care criteria, as defined by third parties such as InterQual. These criteria usually include a combination of the patient's clinical diagnoses, severity of illness, and expected needs for monitoring and interventions, in order to determine the admission status to which the patient may be assigned (eg, observation, inpatient, or intensive care). Observation services can be provided, in a variety of settings, to those patients who do not meet inpatient level of care but require a period of observation. Some hospitals provide observation care in discrete units in the emergency department (ED) or specific inpatient unit, and others have no designated unit but scatter observation patients throughout the institution, termed virtual observation units.9

For more than 30 years, observation unit (OU) admission has offered an alternative to traditional inpatient hospitalization for children with a variety of acute conditions.10, 11 Historically, the published literature on observation care for children in the United States has been largely based in dedicated emergency department OUs.12 Yet, in a 2001 survey of 21 pediatric EDs, just 6 reported the presence of a 23‐hour unit.13 There are single‐site examples of observation care delivered in other settings.14, 15 In 2 national surveys of US General Hospitals, 25% provided observation services in beds adjacent to the ED, and the remainder provided observation services in hospital inpatient units.16, 17 However, we are not aware of any previous multi‐institution studies exploring hospital‐wide practices related to observation care for children.

Recognizing that observation status can be designated using various standards, and that observation care can be delivered in locations outside of dedicated OUs,9 we developed 2 web‐based surveys to examine the current models of pediatric observation medicine in US children's hospitals. We hypothesized that observation care is most commonly applied as a billing designation and does not necessarily represent care delivered in a structurally or functionally distinct OU, nor does it represent a difference in care provided to those patients with inpatient designation.

METHODS

Study Design

Two web‐based surveys were distributed, in April 2010, to the 42 freestanding, tertiary care children's hospitals affiliated with the Child Health Corporation of America (CHCA; Shawnee Mission, KS) which contribute data to the Pediatric Health Information System (PHIS) database. The PHIS is a national administrative database that contains resource utilization data from participating hospitals located in noncompeting markets of 27 states plus the District of Columbia. These hospitals account for 20% of all tertiary care children's hospitals in the United States.

Survey Content

Survey 1

A survey of hospital observation status practices has been developed by CHCA as a part of the PHIS data quality initiative (see Supporting Appendix: Survey 1 in the online version of this article). Hospitals that did not provide observation patient data to PHIS were excluded after an initial screening question. This survey obtained information regarding the designation of observation status within each hospital. Hospitals provided free‐text responses to questions related to the criteria used to define observation, and to admit patients into observation status. Fixed‐choice response questions were used to determine specific observation status utilization criteria and clinical guidelines (eg, InterQual and Milliman) used by hospitals for the designation of observation status to patients.

Survey 2

We developed a detailed follow‐up survey in order to characterize the structures and processes of care associated with observation status (see Supporting Appendix: Survey 2 in the online version of this article). Within the follow‐up survey, an initial screening question was used to determine all types of patients to which observation status is assigned within the responding hospitals. All other questions in Survey 2 were focused specifically on those patients who required additional care following ED evaluation and treatment. Fixed‐choice response questions were used to explore differences in care for patients under observation and those admitted as inpatients. We also inquired of hospital practices related to boarding of patients in the ED while awaiting admission to an inpatient bed.

Survey Distribution

Two web‐based surveys were distributed to all 42 CHCA hospitals that contribute data to PHIS. During the month of April 2010, each hospital's designated PHIS operational contact received e‐mail correspondence requesting their participation in each survey. Within hospitals participating in PHIS, Operational Contacts have been assigned to serve as the day‐to‐day PHIS contact person based upon their experience working with the PHIS data. The Operational Contacts are CHCA's primary contact for issues related to the hospital's data quality and reporting to PHIS. Non‐responders were contacted by e‐mail for additional requests to complete the surveys. Each e‐mail provided an introduction to the topic of the survey and a link to complete the survey. The e‐mail requesting participation in Survey 1 was distributed the first week of April 2010, and the survey was open for responses during the first 3 weeks of the month. The e‐mail requesting participation in Survey 2 was sent the third week of April 2010, and the survey was open for responses during the subsequent 2 weeks.

DATA ANALYSIS

Survey responses were collected and are presented as a descriptive summary of results. Hospital characteristics were summarized with medians and interquartile ranges for continuous variables, and with percents for categorical variables. Characteristics were compared between hospitals that responded and those that did not respond to Survey 2 using Wilcoxon rank‐sum tests and chi‐square tests as appropriate. All analyses were performed using SAS v.9.2 (SAS Institute, Cary, NC), and a P value <0.05 was considered statistically significant. The study was reviewed by the University of Michigan Institutional Review Board and considered exempt.

RESULTS

Responses to Survey 1 were available from 37 of 42 (88%) of PHIS hospitals (Figure 1). For Survey 2, we received responses from 20 of 42 (48%) of PHIS hospitals. Based on information available from Survey 1, we know that 20 of the 31 (65%) PHIS hospitals that report observation status patient data to PHIS responded to Survey 2. Characteristics of the hospitals responding and not responding to Survey 2 are presented in Table 1. Respondents provided hospital identifying information which allowed for the linkage of data, from Survey 1, to 17 of the 20 hospitals responding to Survey 2. We did not have information available to link responses from 3 hospitals.

Figure 1
Hospital responses to Survey 1 and Survey 2; exclusions and incomplete responses are included. Data from Survey 1 and Survey 2 could be linked for 17 hospitals. *Related data presented in Table 2. **Related data presented in Table 3. Abbreviations: ED, emergency department; PHIS, Pediatric Health Information System.
Characteristics of Hospitals Responding and Not Responding to Survey 2
 Respondent N = 20Non‐Respondent N = 22P Value
  • Abbreviations: ED, emergency department; IQR, interquartile range; PHIS, Pediatric Health Information System.

No. of inpatient beds Median [IQR] (excluding Obstetrics)245 [219283]282 [250381]0.076
Annual admissions Median [IQR] (excluding births)11,658 [8,64213,213]13,522 [9,83018,705]0.106
ED volume Median [IQR]60,528 [47,85082,955]64,486 [47,38684,450]0.640
Percent government payer Median [IQR]53% [4662]49% [4158]0.528
Region   
Northeast37%0%0.021
Midwest21%33% 
South21%50% 
West21%17% 
Reports observation status patients to PHIS85%90%0.555

Based on responses to the surveys and our knowledge of data reported to PHIS, our current understanding of patient flow from ED through observation to discharge home, and the application of observation status to the encounter, is presented in Figure 2. According to free‐text responses to Survey 1, various methods were applied to designate observation status (gray shaded boxes in Figure 2). Fixed‐choice responses to Survey 2 revealed that observation status patients were cared for in a variety of locations within hospitals, including ED beds, designated observation units, and inpatient beds (dashed boxes in Figure 2). Not every facility utilized all of the listed locations for observation care. Space constraints could dictate the location of care, regardless of patient status (eg, observation vs inpatient), in hospitals with more than one location of care available to observation patients. While patient status could change during a visit, only the final patient status at discharge enters the administrative record submitted to PHIS (black boxes in Figure 2). Facility charges for observation remained a part of the visit record and were reported to PHIS. Hospitals may or may not bill for all assigned charges depending on patient status, length of stay, or other specific criteria determined by contracts with individual payers.

Figure 2
Patient flow related to observation following emergency department care. The dashed boxes represent physical structures associated with observation and inpatient care that follow treatment in the ED. The gray shaded boxes indicate the points in care, and the factors considered, when assigning observation status. The black boxes show the assignment of facility charges for services rendered during each visit. Abbreviations: ED, emergency department; LOS, length of stay; PHIS, Pediatric Health Information System.

Survey 1: Classification of Observation Patients and Presence of Observation Units in PHIS Hospitals

According to responses to Survey 1, designated OUs were not widespread, present in only 12 of the 31 hospitals. No hospital reported treating all observation status patients exclusively in a designated OU. Observation status was defined by both duration of treatment and either level of care criteria or clinical care guidelines in 21 of the 31 hospitals responding to Survey 1. Of the remaining 10 hospitals, 1 reported that treatment duration alone defines observation status, and the others relied on prespecified observation criteria. When considering duration of treatment, hospitals variably indicated that anticipated or actual lengths of stay were used to determine observation status. Regarding the maximum hours a patient can be observed, 12 hospitals limited observation to 24 hours or fewer, 12 hospitals observed patients for no more than 36 to 48 hours, and the remaining 7 hospitals allowed observation periods of 72 hours or longer.

When admitting patients to observation status, 30 of 31 hospitals specified the criteria that were used to determine observation admissions. InterQual criteria, the most common response, were used by 23 of the 30 hospitals reporting specified criteria; the remaining 7 hospitals had developed hospital‐specific criteria or modified existing criteria, such as InterQual or Milliman, to determine observation status admissions. In addition to these criteria, 11 hospitals required a physician order for admission to observation status. Twenty‐four hospitals indicated that policies were in place to change patient status from observation to inpatient, or inpatient to observation, typically through processes of utilization review and application of criteria listed above.

Most hospitals indicated that they faced substantial variation in the standards used from one payer to another when considering reimbursement for care delivered under observation status. Hospitals noted that duration‐of‐carebased reimbursement practices included hourly rates, per diem, and reimbursement for only the first 24 or 48 hours of observation care. Hospitals identified that payers variably determined reimbursement for observation based on InterQual level of care criteria and Milliman care guidelines. One hospital reported that it was not their practice to bill for the observation bed.

Survey 2: Understanding Observation Patient Type Administrative Data Following ED Care Within PHIS Hospitals

Of the 20 hospitals responding to Survey 2, there were 2 hospitals that did not apply observation status to patients after ED care and 2 hospitals that did not provide complete responses. The remaining 16 hospitals provided information regarding observation status as applied to patients after receiving treatment in the ED. The settings available for observation care and patient groups treated within each area are presented in Table 2. In addition to the patient groups listed in Table 2, there were 4 hospitals where patients could be admitted to observation status directly from an outpatient clinic. All responding hospitals provided virtual observation care (ie, observation status is assigned but the patient is cared for in the existing ED or inpatient ward). Nine hospitals also provided observation care within a dedicated ED or ward‐based OU (ie, a separate clinical area in which observation patients are treated).

Characteristics of Observation Care in Freestanding Children's Hospitals
Hospital No.Available Observation SettingsPatient Groups Under Observation in Each SettingUR to Assign Obs StatusWhen Obs Status Is Assigned
EDPost‐OpTest/Treat
  • Abbreviations: ED, emergency department; N/A, not available; Obs, observation; OU, observation unit; Post‐Op, postoperative care following surgery or procedures, such as tonsillectomy or cardiac catheterization; Test/Treat, scheduled tests and treatments such as EEG monitoring and infusions; UR, utilization review.

1Virtual inpatientXXXYesDischarge
Ward‐based OU XXNo 
2Virtual inpatient XXYesAdmission
Ward‐based OUXXXNo 
3Virtual inpatientXXXYesDischarge
Ward‐based OUXXXYes 
ED OUX  Yes 
Virtual EDX  Yes 
4Virtual inpatientXXXYesDischarge
ED OUX  No 
Virtual EDX  No 
5Virtual inpatientXXXN/ADischarge
6Virtual inpatientXXXYesDischarge
7Virtual inpatientXX YesNo response
Ward‐based OUX  Yes 
Virtual EDX  Yes 
8Virtual inpatientXXXYesAdmission
9Virtual inpatientXX YesDischarge
ED OUX  Yes 
Virtual EDX  Yes 
10Virtual inpatientXXXYesAdmission
ED OUX  Yes 
11Virtual inpatient XXYesDischarge
Ward‐based OU XXYes 
ED OUX  Yes 
Virtual EDX  Yes 
12Virtual inpatientXXXYesAdmission
13Virtual inpatient XXN/ADischarge
Virtual EDX  N/A 
14Virtual inpatientXXXYesBoth
15Virtual inpatientXX YesAdmission
Ward‐based OUXX Yes 
16Virtual inpatientX  YesAdmission

When asked to identify differences between clinical care delivered to patients admitted under virtual observation and those admitted under inpatient status, 14 of 16 hospitals selected the option There are no differences in the care delivery of these patients. The differences identified by 2 hospitals included patient care orders, treatment protocols, and physician documentation. Within the hospitals that reported utilization of virtual ED observation, 2 reported differences in care compared with other ED patients, including patient care orders, physician rounds, documentation, and discharge process. When admitted patients were boarded in the ED while awaiting an inpatient bed, 11 of 16 hospitals allowed for observation or inpatient level of care to be provided in the ED. Fourteen hospitals allow an admitted patient to be discharged home from boarding in the ED without ever receiving care in an inpatient bed. The discharge decision was made by ED providers in 7 hospitals, and inpatient providers in the other 7 hospitals.

Responses to questions providing detailed information on the process of utilization review were provided by 12 hospitals. Among this subset of hospitals, utilization review was consistently used to assign virtual inpatient observation status and was applied at admission (n = 6) or discharge (n = 8), depending on the hospital. One hospital applied observation status at both admission and discharge; 1 hospital did not provide a response. Responses to questions regarding utilization review are presented in Table 3.

Utilization Review Practices Related to Observation Status
Survey QuestionYes N (%)No N (%)
Preadmission utilization review is conducted at my hospital.3 (25)9 (75)
Utilization review occurs daily at my hospital.10 (83)2 (17)
A nonclinician can initiate an order for observation status.4 (33)8 (67)
Status can be changed after the patient has been discharged.10 (83)2 (17)
Inpatient status would always be assigned to a patient who receives less than 24 hours of care and meets inpatient criteria.9 (75)3 (25)
The same status would be assigned to different patients who received the same treatment of the same duration but have different payers.6 (50)6 (50)

DISCUSSION

This is the largest descriptive study of pediatric observation status practices in US freestanding children's hospitals and, to our knowledge, the first to include information about both the ED and inpatient treatment environments. There are two important findings of this study. First, designated OUs were uncommon among the group of freestanding children's hospitals that reported observation patient data to PHIS in 2010. Second, despite the fact that hospitals reported observation care was delivered in a variety of settings, virtual inpatient observation status was nearly ubiquitous. Among the subset of hospitals that provided information about the clinical care delivered to patients admitted under virtual inpatient observation, hospitals frequently reported there were no differences in the care delivered to observation patients when compared with other inpatients.

The results of our survey indicate that designated OUs are not a commonly available model of observation care in the study hospitals. In fact, the vast majority of the hospitals used virtual inpatient observation care, which did not differ from the care delivered to a child admitted as an inpatient. ED‐based OUs, which often provide operationally and physically distinct care to observation patients, have been touted as cost‐effective alternatives to inpatient care,1820 resulting in fewer admissions and reductions in length of stay19, 20 without a resultant increase in return ED‐visits or readmissions.2123 Research is needed to determine the patient‐level outcomes for short‐stay patients in the variety of available treatment settings (eg, physically or operationally distinct OUs and virtual observation), and to evaluate these outcomes in comparison to results published from designated OUs. The operationally and physically distinct features of a designated OU may be required to realize the benefits of observation attributed to individual patients.

While observation care has been historically provided by emergency physicians, there is increasing interest in the role of inpatient providers in observation care.9 According to our survey, children were admitted to observation status directly from clinics, following surgical procedures, scheduled tests and treatment, or after evaluation and treatment in the ED. As many of these children undergo virtual observation in inpatient areas, the role of inpatient providers, such as pediatric hospitalists, in observation care may be an important area for future study, education, and professional development. Novel models of care, with hospitalists collaborating with emergency physicians, may be of benefit to the children who require observation following initial stabilization and treatment in the ED.24, 25

We identified variation between hospitals in the methods used to assign observation status to an episode of care, including a wide range of length of stay criteria and different approaches to utilization review. In addition, the criteria payers use to reimburse for observation varied between payers, even within individual hospitals. The results of our survey may be driven by issues of reimbursement and not based on a model of optimizing patient care outcomes using designated OUs. Variations in reimbursement may limit hospital efforts to refine models of observation care for children. Designated OUs have been suggested as a method for improving ED patient flow,26 increasing inpatient capacity,27 and reducing costs of care.28 Standardization of observation status criteria and consistent reimbursement for observation services may be necessary for hospitals to develop operationally and physically distinct OUs, which may be essential to achieving the proposed benefits of observation medicine on costs of care, patient flow, and hospital capacity.

LIMITATIONS

Our study results should be interpreted with the following limitations in mind. First, the surveys were distributed only to freestanding children's hospitals who participate in PHIS. As a result, our findings may not be generalizable to the experiences of other children's hospitals or general hospitals caring for children. Questions in Survey 2 were focused on understanding observation care, delivered to patients following ED care, which may differ from observation practices related to a direct admission or following scheduled procedures, tests, or treatments. It is important to note that, hospitals that do not report observation status patient data to PHIS are still providing care to children with acute conditions that respond to brief periods of hospital treatment, even though it is not labeled observation. However, it was beyond the scope of this study to characterize the care delivered to all patients who experience a short stay.

The second main limitation of our study is the lower response rate to Survey 2. In addition, several surveys contained incomplete responses which further limits our sample size for some questions, specifically those related to utilization review. The lower response to Survey 2 could be related to the timing of the distribution of the 2 surveys, or to the information contained in the introductory e‐mail describing Survey 2. Hospitals with designated observation units, or where observation status care has been receiving attention, may have been more likely to respond to our survey, which may bias our results to reflect the experiences of hospitals experiencing particular successes or challenges with observation status care. A comparison of known hospital characteristics revealed no differences between hospitals that did and did not provide responses to Survey 2, but other unmeasured differences may exist.

CONCLUSION

Observation status is assigned using duration of treatment, clinical care guidelines, and level of care criteria, and is defined differently by individual hospitals and payers. Currently, the most widely available setting for pediatric observation status is within a virtual inpatient unit. Our results suggest that the care delivered to observation patients in virtual inpatient units is consistent with care provided to other inpatients. As such, observation status is largely an administrative/billing designation, which does not appear to reflect differences in clinical care. A consistent approach to the assignment of patients to observation status, and treatment of patients under observation among hospitals and payers, may be necessary to compare quality outcomes. Studies of the clinical care delivery and processes of care for short‐stay patients are needed to optimize models of pediatric observation care.

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References
  1. Graff LG.Observation medicine: the healthcare system's tincture of time. In: Graff LG, ed.Principles of Observation Medicine.Dallas, TX:American College of Emergency Physicians;2010. Available at: http://www.acep.org/content.aspx?id=46142. Accessed February 18,year="2011"2011.
  2. Hoholik S.Hospital ‘observation’ status a matter of billing.The Columbus Dispatch. February 14,2011.
  3. George J.Hospital payments downgraded.Philadelphia Business Journal. February 18,2011.
  4. Jaffe S.Medicare rules give full hospital benefits only to those with ‘inpatient’ status.The Washington Post. September 7,2010.
  5. Clark C.Hospitals caught between a rock and a hard place over observation.Health Leaders Media. September 15,2010.
  6. Clark C.AHA: observation status fears on the rise.Health Leaders Media. October 29,2010.
  7. Brody JE.Put your hospital bill under a microscope.The New York Times. September 13,2010.
  8. Medicare Hospital Manual Section 455.Washington, DC:Department of Health and Human Services, Centers for Medicare and Medicaid Services;2001.
  9. Barsuk J,Casey D,Graff L,Green A,Mace S.The Observation Unit: An Operational Overview for the Hospitalist. Society of Hospital Medicine White Paper. May 21, 2009. Available at: http://www.hospitalmedicine.org/Content/NavigationMenu/Publications/White Papers/White_Papers.htm. Accessed May 21,2009.
  10. Alpern ER,Calello DP,Windreich R,Osterhoudt K,Shaw KN.Utilization and unexpected hospitalization rates of a pediatric emergency department 23‐hour observation unit.Pediatr Emerg Care.2008;24(9):589594.
  11. Zebrack M,Kadish H,Nelson D.The pediatric hybrid observation unit: an analysis of 6477 consecutive patient encounters.Pediatrics.2005;115(5):e535e542.
  12. Macy ML,Kim CS,Sasson C,Lozon MM,Davis MM.Pediatric observation units in the United States: a systematic review.J Hosp Med.2010;5(3):172182.
  13. Shaw KN,Ruddy RM,Gorelick MH.Pediatric emergency department directors' benchmarking survey: fiscal year 2001.Pediatr Emerg Care.2003;19(3):143147.
  14. Crocetti MT,Barone MA,Amin DD,Walker AR.Pediatric observation status beds on an inpatient unit: an integrated care model.Pediatr Emerg Care.2004;20(1):1721.
  15. Marks MK,Lovejoy FH,Rutherford PA,Baskin MN.Impact of a short stay unit on asthma patients admitted to a tertiary pediatric hospital.Qual Manag Health Care.1997;6(1):1422.
  16. Mace SE,Graff L,Mikhail M,Ross M.A national survey of observation units in the United States.Am J Emerg Med.2003;21(7):529533.
  17. Yealy DM,De Hart DA,Ellis G,Wolfson AB.A survey of observation units in the United States.Am J Emerg Med.1989;7(6):576580.
  18. Balik B,Seitz CH,Gilliam T.When the patient requires observation not hospitalization.J Nurs Admin.1988;18(10):2023.
  19. Greenberg RA,Dudley NC,Rittichier KK.A reduction in hospitalization, length of stay, and hospital charges for croup with the institution of a pediatric observation unit.Am J Emerg Med.2006;24(7):818821.
  20. Listernick R,Zieserl E,Davis AT.Outpatient oral rehydration in the United States.Am J Dis Child.1986;140(3):211215.
  21. Holsti M,Kadish HA,Sill BL,Firth SD,Nelson DS.Pediatric closed head injuries treated in an observation unit.Pediatr Emerg Care.2005;21(10):639644.
  22. Mallory MD,Kadish H,Zebrack M,Nelson D.Use of pediatric observation unit for treatment of children with dehydration caused by gastroenteritis.Pediatr Emerg Care.2006;22(1):16.
  23. Miescier MJ,Nelson DS,Firth SD,Kadish HA.Children with asthma admitted to a pediatric observation unit.Pediatr Emerg Care.2005;21(10):645649.
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Observation medicine has grown in recent decades out of changes in policies for hospital reimbursement, requirements for patients to meet admission criteria to qualify for inpatient admission, and efforts to avoid unnecessary or inappropriate admissions.1 Emergency physicians are frequently faced with patients who are too sick to be discharged home, but do not clearly meet criteria for an inpatient status admission. These patients often receive extended outpatient services (typically extending 24 to 48 hours) under the designation of observation status, in order to determine their response to treatment and need for hospitalization.

Observation care delivered to adult patients has increased substantially in recent years, and the confusion around the designation of observation versus inpatient care has received increasing attention in the lay press.27 According to the Centers for Medicare and Medicaid Services (CMS)8:

Observation care is a well‐defined set of specific, clinically appropriate services, which include ongoing short term treatment, assessment, and reassessment before a decision can be made regarding whether patients will require further treatment as hospital inpatients. Observation services are commonly ordered for patients who present to the emergency department and who then require a significant period of treatment or monitoring in order to make a decision concerning their admission or discharge.

 

Observation status is an administrative label that is applied to patients who do not meet inpatient level of care criteria, as defined by third parties such as InterQual. These criteria usually include a combination of the patient's clinical diagnoses, severity of illness, and expected needs for monitoring and interventions, in order to determine the admission status to which the patient may be assigned (eg, observation, inpatient, or intensive care). Observation services can be provided, in a variety of settings, to those patients who do not meet inpatient level of care but require a period of observation. Some hospitals provide observation care in discrete units in the emergency department (ED) or specific inpatient unit, and others have no designated unit but scatter observation patients throughout the institution, termed virtual observation units.9

For more than 30 years, observation unit (OU) admission has offered an alternative to traditional inpatient hospitalization for children with a variety of acute conditions.10, 11 Historically, the published literature on observation care for children in the United States has been largely based in dedicated emergency department OUs.12 Yet, in a 2001 survey of 21 pediatric EDs, just 6 reported the presence of a 23‐hour unit.13 There are single‐site examples of observation care delivered in other settings.14, 15 In 2 national surveys of US General Hospitals, 25% provided observation services in beds adjacent to the ED, and the remainder provided observation services in hospital inpatient units.16, 17 However, we are not aware of any previous multi‐institution studies exploring hospital‐wide practices related to observation care for children.

Recognizing that observation status can be designated using various standards, and that observation care can be delivered in locations outside of dedicated OUs,9 we developed 2 web‐based surveys to examine the current models of pediatric observation medicine in US children's hospitals. We hypothesized that observation care is most commonly applied as a billing designation and does not necessarily represent care delivered in a structurally or functionally distinct OU, nor does it represent a difference in care provided to those patients with inpatient designation.

METHODS

Study Design

Two web‐based surveys were distributed, in April 2010, to the 42 freestanding, tertiary care children's hospitals affiliated with the Child Health Corporation of America (CHCA; Shawnee Mission, KS) which contribute data to the Pediatric Health Information System (PHIS) database. The PHIS is a national administrative database that contains resource utilization data from participating hospitals located in noncompeting markets of 27 states plus the District of Columbia. These hospitals account for 20% of all tertiary care children's hospitals in the United States.

Survey Content

Survey 1

A survey of hospital observation status practices has been developed by CHCA as a part of the PHIS data quality initiative (see Supporting Appendix: Survey 1 in the online version of this article). Hospitals that did not provide observation patient data to PHIS were excluded after an initial screening question. This survey obtained information regarding the designation of observation status within each hospital. Hospitals provided free‐text responses to questions related to the criteria used to define observation, and to admit patients into observation status. Fixed‐choice response questions were used to determine specific observation status utilization criteria and clinical guidelines (eg, InterQual and Milliman) used by hospitals for the designation of observation status to patients.

Survey 2

We developed a detailed follow‐up survey in order to characterize the structures and processes of care associated with observation status (see Supporting Appendix: Survey 2 in the online version of this article). Within the follow‐up survey, an initial screening question was used to determine all types of patients to which observation status is assigned within the responding hospitals. All other questions in Survey 2 were focused specifically on those patients who required additional care following ED evaluation and treatment. Fixed‐choice response questions were used to explore differences in care for patients under observation and those admitted as inpatients. We also inquired of hospital practices related to boarding of patients in the ED while awaiting admission to an inpatient bed.

Survey Distribution

Two web‐based surveys were distributed to all 42 CHCA hospitals that contribute data to PHIS. During the month of April 2010, each hospital's designated PHIS operational contact received e‐mail correspondence requesting their participation in each survey. Within hospitals participating in PHIS, Operational Contacts have been assigned to serve as the day‐to‐day PHIS contact person based upon their experience working with the PHIS data. The Operational Contacts are CHCA's primary contact for issues related to the hospital's data quality and reporting to PHIS. Non‐responders were contacted by e‐mail for additional requests to complete the surveys. Each e‐mail provided an introduction to the topic of the survey and a link to complete the survey. The e‐mail requesting participation in Survey 1 was distributed the first week of April 2010, and the survey was open for responses during the first 3 weeks of the month. The e‐mail requesting participation in Survey 2 was sent the third week of April 2010, and the survey was open for responses during the subsequent 2 weeks.

DATA ANALYSIS

Survey responses were collected and are presented as a descriptive summary of results. Hospital characteristics were summarized with medians and interquartile ranges for continuous variables, and with percents for categorical variables. Characteristics were compared between hospitals that responded and those that did not respond to Survey 2 using Wilcoxon rank‐sum tests and chi‐square tests as appropriate. All analyses were performed using SAS v.9.2 (SAS Institute, Cary, NC), and a P value <0.05 was considered statistically significant. The study was reviewed by the University of Michigan Institutional Review Board and considered exempt.

RESULTS

Responses to Survey 1 were available from 37 of 42 (88%) of PHIS hospitals (Figure 1). For Survey 2, we received responses from 20 of 42 (48%) of PHIS hospitals. Based on information available from Survey 1, we know that 20 of the 31 (65%) PHIS hospitals that report observation status patient data to PHIS responded to Survey 2. Characteristics of the hospitals responding and not responding to Survey 2 are presented in Table 1. Respondents provided hospital identifying information which allowed for the linkage of data, from Survey 1, to 17 of the 20 hospitals responding to Survey 2. We did not have information available to link responses from 3 hospitals.

Figure 1
Hospital responses to Survey 1 and Survey 2; exclusions and incomplete responses are included. Data from Survey 1 and Survey 2 could be linked for 17 hospitals. *Related data presented in Table 2. **Related data presented in Table 3. Abbreviations: ED, emergency department; PHIS, Pediatric Health Information System.
Characteristics of Hospitals Responding and Not Responding to Survey 2
 Respondent N = 20Non‐Respondent N = 22P Value
  • Abbreviations: ED, emergency department; IQR, interquartile range; PHIS, Pediatric Health Information System.

No. of inpatient beds Median [IQR] (excluding Obstetrics)245 [219283]282 [250381]0.076
Annual admissions Median [IQR] (excluding births)11,658 [8,64213,213]13,522 [9,83018,705]0.106
ED volume Median [IQR]60,528 [47,85082,955]64,486 [47,38684,450]0.640
Percent government payer Median [IQR]53% [4662]49% [4158]0.528
Region   
Northeast37%0%0.021
Midwest21%33% 
South21%50% 
West21%17% 
Reports observation status patients to PHIS85%90%0.555

Based on responses to the surveys and our knowledge of data reported to PHIS, our current understanding of patient flow from ED through observation to discharge home, and the application of observation status to the encounter, is presented in Figure 2. According to free‐text responses to Survey 1, various methods were applied to designate observation status (gray shaded boxes in Figure 2). Fixed‐choice responses to Survey 2 revealed that observation status patients were cared for in a variety of locations within hospitals, including ED beds, designated observation units, and inpatient beds (dashed boxes in Figure 2). Not every facility utilized all of the listed locations for observation care. Space constraints could dictate the location of care, regardless of patient status (eg, observation vs inpatient), in hospitals with more than one location of care available to observation patients. While patient status could change during a visit, only the final patient status at discharge enters the administrative record submitted to PHIS (black boxes in Figure 2). Facility charges for observation remained a part of the visit record and were reported to PHIS. Hospitals may or may not bill for all assigned charges depending on patient status, length of stay, or other specific criteria determined by contracts with individual payers.

Figure 2
Patient flow related to observation following emergency department care. The dashed boxes represent physical structures associated with observation and inpatient care that follow treatment in the ED. The gray shaded boxes indicate the points in care, and the factors considered, when assigning observation status. The black boxes show the assignment of facility charges for services rendered during each visit. Abbreviations: ED, emergency department; LOS, length of stay; PHIS, Pediatric Health Information System.

Survey 1: Classification of Observation Patients and Presence of Observation Units in PHIS Hospitals

According to responses to Survey 1, designated OUs were not widespread, present in only 12 of the 31 hospitals. No hospital reported treating all observation status patients exclusively in a designated OU. Observation status was defined by both duration of treatment and either level of care criteria or clinical care guidelines in 21 of the 31 hospitals responding to Survey 1. Of the remaining 10 hospitals, 1 reported that treatment duration alone defines observation status, and the others relied on prespecified observation criteria. When considering duration of treatment, hospitals variably indicated that anticipated or actual lengths of stay were used to determine observation status. Regarding the maximum hours a patient can be observed, 12 hospitals limited observation to 24 hours or fewer, 12 hospitals observed patients for no more than 36 to 48 hours, and the remaining 7 hospitals allowed observation periods of 72 hours or longer.

When admitting patients to observation status, 30 of 31 hospitals specified the criteria that were used to determine observation admissions. InterQual criteria, the most common response, were used by 23 of the 30 hospitals reporting specified criteria; the remaining 7 hospitals had developed hospital‐specific criteria or modified existing criteria, such as InterQual or Milliman, to determine observation status admissions. In addition to these criteria, 11 hospitals required a physician order for admission to observation status. Twenty‐four hospitals indicated that policies were in place to change patient status from observation to inpatient, or inpatient to observation, typically through processes of utilization review and application of criteria listed above.

Most hospitals indicated that they faced substantial variation in the standards used from one payer to another when considering reimbursement for care delivered under observation status. Hospitals noted that duration‐of‐carebased reimbursement practices included hourly rates, per diem, and reimbursement for only the first 24 or 48 hours of observation care. Hospitals identified that payers variably determined reimbursement for observation based on InterQual level of care criteria and Milliman care guidelines. One hospital reported that it was not their practice to bill for the observation bed.

Survey 2: Understanding Observation Patient Type Administrative Data Following ED Care Within PHIS Hospitals

Of the 20 hospitals responding to Survey 2, there were 2 hospitals that did not apply observation status to patients after ED care and 2 hospitals that did not provide complete responses. The remaining 16 hospitals provided information regarding observation status as applied to patients after receiving treatment in the ED. The settings available for observation care and patient groups treated within each area are presented in Table 2. In addition to the patient groups listed in Table 2, there were 4 hospitals where patients could be admitted to observation status directly from an outpatient clinic. All responding hospitals provided virtual observation care (ie, observation status is assigned but the patient is cared for in the existing ED or inpatient ward). Nine hospitals also provided observation care within a dedicated ED or ward‐based OU (ie, a separate clinical area in which observation patients are treated).

Characteristics of Observation Care in Freestanding Children's Hospitals
Hospital No.Available Observation SettingsPatient Groups Under Observation in Each SettingUR to Assign Obs StatusWhen Obs Status Is Assigned
EDPost‐OpTest/Treat
  • Abbreviations: ED, emergency department; N/A, not available; Obs, observation; OU, observation unit; Post‐Op, postoperative care following surgery or procedures, such as tonsillectomy or cardiac catheterization; Test/Treat, scheduled tests and treatments such as EEG monitoring and infusions; UR, utilization review.

1Virtual inpatientXXXYesDischarge
Ward‐based OU XXNo 
2Virtual inpatient XXYesAdmission
Ward‐based OUXXXNo 
3Virtual inpatientXXXYesDischarge
Ward‐based OUXXXYes 
ED OUX  Yes 
Virtual EDX  Yes 
4Virtual inpatientXXXYesDischarge
ED OUX  No 
Virtual EDX  No 
5Virtual inpatientXXXN/ADischarge
6Virtual inpatientXXXYesDischarge
7Virtual inpatientXX YesNo response
Ward‐based OUX  Yes 
Virtual EDX  Yes 
8Virtual inpatientXXXYesAdmission
9Virtual inpatientXX YesDischarge
ED OUX  Yes 
Virtual EDX  Yes 
10Virtual inpatientXXXYesAdmission
ED OUX  Yes 
11Virtual inpatient XXYesDischarge
Ward‐based OU XXYes 
ED OUX  Yes 
Virtual EDX  Yes 
12Virtual inpatientXXXYesAdmission
13Virtual inpatient XXN/ADischarge
Virtual EDX  N/A 
14Virtual inpatientXXXYesBoth
15Virtual inpatientXX YesAdmission
Ward‐based OUXX Yes 
16Virtual inpatientX  YesAdmission

When asked to identify differences between clinical care delivered to patients admitted under virtual observation and those admitted under inpatient status, 14 of 16 hospitals selected the option There are no differences in the care delivery of these patients. The differences identified by 2 hospitals included patient care orders, treatment protocols, and physician documentation. Within the hospitals that reported utilization of virtual ED observation, 2 reported differences in care compared with other ED patients, including patient care orders, physician rounds, documentation, and discharge process. When admitted patients were boarded in the ED while awaiting an inpatient bed, 11 of 16 hospitals allowed for observation or inpatient level of care to be provided in the ED. Fourteen hospitals allow an admitted patient to be discharged home from boarding in the ED without ever receiving care in an inpatient bed. The discharge decision was made by ED providers in 7 hospitals, and inpatient providers in the other 7 hospitals.

Responses to questions providing detailed information on the process of utilization review were provided by 12 hospitals. Among this subset of hospitals, utilization review was consistently used to assign virtual inpatient observation status and was applied at admission (n = 6) or discharge (n = 8), depending on the hospital. One hospital applied observation status at both admission and discharge; 1 hospital did not provide a response. Responses to questions regarding utilization review are presented in Table 3.

Utilization Review Practices Related to Observation Status
Survey QuestionYes N (%)No N (%)
Preadmission utilization review is conducted at my hospital.3 (25)9 (75)
Utilization review occurs daily at my hospital.10 (83)2 (17)
A nonclinician can initiate an order for observation status.4 (33)8 (67)
Status can be changed after the patient has been discharged.10 (83)2 (17)
Inpatient status would always be assigned to a patient who receives less than 24 hours of care and meets inpatient criteria.9 (75)3 (25)
The same status would be assigned to different patients who received the same treatment of the same duration but have different payers.6 (50)6 (50)

DISCUSSION

This is the largest descriptive study of pediatric observation status practices in US freestanding children's hospitals and, to our knowledge, the first to include information about both the ED and inpatient treatment environments. There are two important findings of this study. First, designated OUs were uncommon among the group of freestanding children's hospitals that reported observation patient data to PHIS in 2010. Second, despite the fact that hospitals reported observation care was delivered in a variety of settings, virtual inpatient observation status was nearly ubiquitous. Among the subset of hospitals that provided information about the clinical care delivered to patients admitted under virtual inpatient observation, hospitals frequently reported there were no differences in the care delivered to observation patients when compared with other inpatients.

The results of our survey indicate that designated OUs are not a commonly available model of observation care in the study hospitals. In fact, the vast majority of the hospitals used virtual inpatient observation care, which did not differ from the care delivered to a child admitted as an inpatient. ED‐based OUs, which often provide operationally and physically distinct care to observation patients, have been touted as cost‐effective alternatives to inpatient care,1820 resulting in fewer admissions and reductions in length of stay19, 20 without a resultant increase in return ED‐visits or readmissions.2123 Research is needed to determine the patient‐level outcomes for short‐stay patients in the variety of available treatment settings (eg, physically or operationally distinct OUs and virtual observation), and to evaluate these outcomes in comparison to results published from designated OUs. The operationally and physically distinct features of a designated OU may be required to realize the benefits of observation attributed to individual patients.

While observation care has been historically provided by emergency physicians, there is increasing interest in the role of inpatient providers in observation care.9 According to our survey, children were admitted to observation status directly from clinics, following surgical procedures, scheduled tests and treatment, or after evaluation and treatment in the ED. As many of these children undergo virtual observation in inpatient areas, the role of inpatient providers, such as pediatric hospitalists, in observation care may be an important area for future study, education, and professional development. Novel models of care, with hospitalists collaborating with emergency physicians, may be of benefit to the children who require observation following initial stabilization and treatment in the ED.24, 25

We identified variation between hospitals in the methods used to assign observation status to an episode of care, including a wide range of length of stay criteria and different approaches to utilization review. In addition, the criteria payers use to reimburse for observation varied between payers, even within individual hospitals. The results of our survey may be driven by issues of reimbursement and not based on a model of optimizing patient care outcomes using designated OUs. Variations in reimbursement may limit hospital efforts to refine models of observation care for children. Designated OUs have been suggested as a method for improving ED patient flow,26 increasing inpatient capacity,27 and reducing costs of care.28 Standardization of observation status criteria and consistent reimbursement for observation services may be necessary for hospitals to develop operationally and physically distinct OUs, which may be essential to achieving the proposed benefits of observation medicine on costs of care, patient flow, and hospital capacity.

LIMITATIONS

Our study results should be interpreted with the following limitations in mind. First, the surveys were distributed only to freestanding children's hospitals who participate in PHIS. As a result, our findings may not be generalizable to the experiences of other children's hospitals or general hospitals caring for children. Questions in Survey 2 were focused on understanding observation care, delivered to patients following ED care, which may differ from observation practices related to a direct admission or following scheduled procedures, tests, or treatments. It is important to note that, hospitals that do not report observation status patient data to PHIS are still providing care to children with acute conditions that respond to brief periods of hospital treatment, even though it is not labeled observation. However, it was beyond the scope of this study to characterize the care delivered to all patients who experience a short stay.

The second main limitation of our study is the lower response rate to Survey 2. In addition, several surveys contained incomplete responses which further limits our sample size for some questions, specifically those related to utilization review. The lower response to Survey 2 could be related to the timing of the distribution of the 2 surveys, or to the information contained in the introductory e‐mail describing Survey 2. Hospitals with designated observation units, or where observation status care has been receiving attention, may have been more likely to respond to our survey, which may bias our results to reflect the experiences of hospitals experiencing particular successes or challenges with observation status care. A comparison of known hospital characteristics revealed no differences between hospitals that did and did not provide responses to Survey 2, but other unmeasured differences may exist.

CONCLUSION

Observation status is assigned using duration of treatment, clinical care guidelines, and level of care criteria, and is defined differently by individual hospitals and payers. Currently, the most widely available setting for pediatric observation status is within a virtual inpatient unit. Our results suggest that the care delivered to observation patients in virtual inpatient units is consistent with care provided to other inpatients. As such, observation status is largely an administrative/billing designation, which does not appear to reflect differences in clinical care. A consistent approach to the assignment of patients to observation status, and treatment of patients under observation among hospitals and payers, may be necessary to compare quality outcomes. Studies of the clinical care delivery and processes of care for short‐stay patients are needed to optimize models of pediatric observation care.

Observation medicine has grown in recent decades out of changes in policies for hospital reimbursement, requirements for patients to meet admission criteria to qualify for inpatient admission, and efforts to avoid unnecessary or inappropriate admissions.1 Emergency physicians are frequently faced with patients who are too sick to be discharged home, but do not clearly meet criteria for an inpatient status admission. These patients often receive extended outpatient services (typically extending 24 to 48 hours) under the designation of observation status, in order to determine their response to treatment and need for hospitalization.

Observation care delivered to adult patients has increased substantially in recent years, and the confusion around the designation of observation versus inpatient care has received increasing attention in the lay press.27 According to the Centers for Medicare and Medicaid Services (CMS)8:

Observation care is a well‐defined set of specific, clinically appropriate services, which include ongoing short term treatment, assessment, and reassessment before a decision can be made regarding whether patients will require further treatment as hospital inpatients. Observation services are commonly ordered for patients who present to the emergency department and who then require a significant period of treatment or monitoring in order to make a decision concerning their admission or discharge.

 

Observation status is an administrative label that is applied to patients who do not meet inpatient level of care criteria, as defined by third parties such as InterQual. These criteria usually include a combination of the patient's clinical diagnoses, severity of illness, and expected needs for monitoring and interventions, in order to determine the admission status to which the patient may be assigned (eg, observation, inpatient, or intensive care). Observation services can be provided, in a variety of settings, to those patients who do not meet inpatient level of care but require a period of observation. Some hospitals provide observation care in discrete units in the emergency department (ED) or specific inpatient unit, and others have no designated unit but scatter observation patients throughout the institution, termed virtual observation units.9

For more than 30 years, observation unit (OU) admission has offered an alternative to traditional inpatient hospitalization for children with a variety of acute conditions.10, 11 Historically, the published literature on observation care for children in the United States has been largely based in dedicated emergency department OUs.12 Yet, in a 2001 survey of 21 pediatric EDs, just 6 reported the presence of a 23‐hour unit.13 There are single‐site examples of observation care delivered in other settings.14, 15 In 2 national surveys of US General Hospitals, 25% provided observation services in beds adjacent to the ED, and the remainder provided observation services in hospital inpatient units.16, 17 However, we are not aware of any previous multi‐institution studies exploring hospital‐wide practices related to observation care for children.

Recognizing that observation status can be designated using various standards, and that observation care can be delivered in locations outside of dedicated OUs,9 we developed 2 web‐based surveys to examine the current models of pediatric observation medicine in US children's hospitals. We hypothesized that observation care is most commonly applied as a billing designation and does not necessarily represent care delivered in a structurally or functionally distinct OU, nor does it represent a difference in care provided to those patients with inpatient designation.

METHODS

Study Design

Two web‐based surveys were distributed, in April 2010, to the 42 freestanding, tertiary care children's hospitals affiliated with the Child Health Corporation of America (CHCA; Shawnee Mission, KS) which contribute data to the Pediatric Health Information System (PHIS) database. The PHIS is a national administrative database that contains resource utilization data from participating hospitals located in noncompeting markets of 27 states plus the District of Columbia. These hospitals account for 20% of all tertiary care children's hospitals in the United States.

Survey Content

Survey 1

A survey of hospital observation status practices has been developed by CHCA as a part of the PHIS data quality initiative (see Supporting Appendix: Survey 1 in the online version of this article). Hospitals that did not provide observation patient data to PHIS were excluded after an initial screening question. This survey obtained information regarding the designation of observation status within each hospital. Hospitals provided free‐text responses to questions related to the criteria used to define observation, and to admit patients into observation status. Fixed‐choice response questions were used to determine specific observation status utilization criteria and clinical guidelines (eg, InterQual and Milliman) used by hospitals for the designation of observation status to patients.

Survey 2

We developed a detailed follow‐up survey in order to characterize the structures and processes of care associated with observation status (see Supporting Appendix: Survey 2 in the online version of this article). Within the follow‐up survey, an initial screening question was used to determine all types of patients to which observation status is assigned within the responding hospitals. All other questions in Survey 2 were focused specifically on those patients who required additional care following ED evaluation and treatment. Fixed‐choice response questions were used to explore differences in care for patients under observation and those admitted as inpatients. We also inquired of hospital practices related to boarding of patients in the ED while awaiting admission to an inpatient bed.

Survey Distribution

Two web‐based surveys were distributed to all 42 CHCA hospitals that contribute data to PHIS. During the month of April 2010, each hospital's designated PHIS operational contact received e‐mail correspondence requesting their participation in each survey. Within hospitals participating in PHIS, Operational Contacts have been assigned to serve as the day‐to‐day PHIS contact person based upon their experience working with the PHIS data. The Operational Contacts are CHCA's primary contact for issues related to the hospital's data quality and reporting to PHIS. Non‐responders were contacted by e‐mail for additional requests to complete the surveys. Each e‐mail provided an introduction to the topic of the survey and a link to complete the survey. The e‐mail requesting participation in Survey 1 was distributed the first week of April 2010, and the survey was open for responses during the first 3 weeks of the month. The e‐mail requesting participation in Survey 2 was sent the third week of April 2010, and the survey was open for responses during the subsequent 2 weeks.

DATA ANALYSIS

Survey responses were collected and are presented as a descriptive summary of results. Hospital characteristics were summarized with medians and interquartile ranges for continuous variables, and with percents for categorical variables. Characteristics were compared between hospitals that responded and those that did not respond to Survey 2 using Wilcoxon rank‐sum tests and chi‐square tests as appropriate. All analyses were performed using SAS v.9.2 (SAS Institute, Cary, NC), and a P value <0.05 was considered statistically significant. The study was reviewed by the University of Michigan Institutional Review Board and considered exempt.

RESULTS

Responses to Survey 1 were available from 37 of 42 (88%) of PHIS hospitals (Figure 1). For Survey 2, we received responses from 20 of 42 (48%) of PHIS hospitals. Based on information available from Survey 1, we know that 20 of the 31 (65%) PHIS hospitals that report observation status patient data to PHIS responded to Survey 2. Characteristics of the hospitals responding and not responding to Survey 2 are presented in Table 1. Respondents provided hospital identifying information which allowed for the linkage of data, from Survey 1, to 17 of the 20 hospitals responding to Survey 2. We did not have information available to link responses from 3 hospitals.

Figure 1
Hospital responses to Survey 1 and Survey 2; exclusions and incomplete responses are included. Data from Survey 1 and Survey 2 could be linked for 17 hospitals. *Related data presented in Table 2. **Related data presented in Table 3. Abbreviations: ED, emergency department; PHIS, Pediatric Health Information System.
Characteristics of Hospitals Responding and Not Responding to Survey 2
 Respondent N = 20Non‐Respondent N = 22P Value
  • Abbreviations: ED, emergency department; IQR, interquartile range; PHIS, Pediatric Health Information System.

No. of inpatient beds Median [IQR] (excluding Obstetrics)245 [219283]282 [250381]0.076
Annual admissions Median [IQR] (excluding births)11,658 [8,64213,213]13,522 [9,83018,705]0.106
ED volume Median [IQR]60,528 [47,85082,955]64,486 [47,38684,450]0.640
Percent government payer Median [IQR]53% [4662]49% [4158]0.528
Region   
Northeast37%0%0.021
Midwest21%33% 
South21%50% 
West21%17% 
Reports observation status patients to PHIS85%90%0.555

Based on responses to the surveys and our knowledge of data reported to PHIS, our current understanding of patient flow from ED through observation to discharge home, and the application of observation status to the encounter, is presented in Figure 2. According to free‐text responses to Survey 1, various methods were applied to designate observation status (gray shaded boxes in Figure 2). Fixed‐choice responses to Survey 2 revealed that observation status patients were cared for in a variety of locations within hospitals, including ED beds, designated observation units, and inpatient beds (dashed boxes in Figure 2). Not every facility utilized all of the listed locations for observation care. Space constraints could dictate the location of care, regardless of patient status (eg, observation vs inpatient), in hospitals with more than one location of care available to observation patients. While patient status could change during a visit, only the final patient status at discharge enters the administrative record submitted to PHIS (black boxes in Figure 2). Facility charges for observation remained a part of the visit record and were reported to PHIS. Hospitals may or may not bill for all assigned charges depending on patient status, length of stay, or other specific criteria determined by contracts with individual payers.

Figure 2
Patient flow related to observation following emergency department care. The dashed boxes represent physical structures associated with observation and inpatient care that follow treatment in the ED. The gray shaded boxes indicate the points in care, and the factors considered, when assigning observation status. The black boxes show the assignment of facility charges for services rendered during each visit. Abbreviations: ED, emergency department; LOS, length of stay; PHIS, Pediatric Health Information System.

Survey 1: Classification of Observation Patients and Presence of Observation Units in PHIS Hospitals

According to responses to Survey 1, designated OUs were not widespread, present in only 12 of the 31 hospitals. No hospital reported treating all observation status patients exclusively in a designated OU. Observation status was defined by both duration of treatment and either level of care criteria or clinical care guidelines in 21 of the 31 hospitals responding to Survey 1. Of the remaining 10 hospitals, 1 reported that treatment duration alone defines observation status, and the others relied on prespecified observation criteria. When considering duration of treatment, hospitals variably indicated that anticipated or actual lengths of stay were used to determine observation status. Regarding the maximum hours a patient can be observed, 12 hospitals limited observation to 24 hours or fewer, 12 hospitals observed patients for no more than 36 to 48 hours, and the remaining 7 hospitals allowed observation periods of 72 hours or longer.

When admitting patients to observation status, 30 of 31 hospitals specified the criteria that were used to determine observation admissions. InterQual criteria, the most common response, were used by 23 of the 30 hospitals reporting specified criteria; the remaining 7 hospitals had developed hospital‐specific criteria or modified existing criteria, such as InterQual or Milliman, to determine observation status admissions. In addition to these criteria, 11 hospitals required a physician order for admission to observation status. Twenty‐four hospitals indicated that policies were in place to change patient status from observation to inpatient, or inpatient to observation, typically through processes of utilization review and application of criteria listed above.

Most hospitals indicated that they faced substantial variation in the standards used from one payer to another when considering reimbursement for care delivered under observation status. Hospitals noted that duration‐of‐carebased reimbursement practices included hourly rates, per diem, and reimbursement for only the first 24 or 48 hours of observation care. Hospitals identified that payers variably determined reimbursement for observation based on InterQual level of care criteria and Milliman care guidelines. One hospital reported that it was not their practice to bill for the observation bed.

Survey 2: Understanding Observation Patient Type Administrative Data Following ED Care Within PHIS Hospitals

Of the 20 hospitals responding to Survey 2, there were 2 hospitals that did not apply observation status to patients after ED care and 2 hospitals that did not provide complete responses. The remaining 16 hospitals provided information regarding observation status as applied to patients after receiving treatment in the ED. The settings available for observation care and patient groups treated within each area are presented in Table 2. In addition to the patient groups listed in Table 2, there were 4 hospitals where patients could be admitted to observation status directly from an outpatient clinic. All responding hospitals provided virtual observation care (ie, observation status is assigned but the patient is cared for in the existing ED or inpatient ward). Nine hospitals also provided observation care within a dedicated ED or ward‐based OU (ie, a separate clinical area in which observation patients are treated).

Characteristics of Observation Care in Freestanding Children's Hospitals
Hospital No.Available Observation SettingsPatient Groups Under Observation in Each SettingUR to Assign Obs StatusWhen Obs Status Is Assigned
EDPost‐OpTest/Treat
  • Abbreviations: ED, emergency department; N/A, not available; Obs, observation; OU, observation unit; Post‐Op, postoperative care following surgery or procedures, such as tonsillectomy or cardiac catheterization; Test/Treat, scheduled tests and treatments such as EEG monitoring and infusions; UR, utilization review.

1Virtual inpatientXXXYesDischarge
Ward‐based OU XXNo 
2Virtual inpatient XXYesAdmission
Ward‐based OUXXXNo 
3Virtual inpatientXXXYesDischarge
Ward‐based OUXXXYes 
ED OUX  Yes 
Virtual EDX  Yes 
4Virtual inpatientXXXYesDischarge
ED OUX  No 
Virtual EDX  No 
5Virtual inpatientXXXN/ADischarge
6Virtual inpatientXXXYesDischarge
7Virtual inpatientXX YesNo response
Ward‐based OUX  Yes 
Virtual EDX  Yes 
8Virtual inpatientXXXYesAdmission
9Virtual inpatientXX YesDischarge
ED OUX  Yes 
Virtual EDX  Yes 
10Virtual inpatientXXXYesAdmission
ED OUX  Yes 
11Virtual inpatient XXYesDischarge
Ward‐based OU XXYes 
ED OUX  Yes 
Virtual EDX  Yes 
12Virtual inpatientXXXYesAdmission
13Virtual inpatient XXN/ADischarge
Virtual EDX  N/A 
14Virtual inpatientXXXYesBoth
15Virtual inpatientXX YesAdmission
Ward‐based OUXX Yes 
16Virtual inpatientX  YesAdmission

When asked to identify differences between clinical care delivered to patients admitted under virtual observation and those admitted under inpatient status, 14 of 16 hospitals selected the option There are no differences in the care delivery of these patients. The differences identified by 2 hospitals included patient care orders, treatment protocols, and physician documentation. Within the hospitals that reported utilization of virtual ED observation, 2 reported differences in care compared with other ED patients, including patient care orders, physician rounds, documentation, and discharge process. When admitted patients were boarded in the ED while awaiting an inpatient bed, 11 of 16 hospitals allowed for observation or inpatient level of care to be provided in the ED. Fourteen hospitals allow an admitted patient to be discharged home from boarding in the ED without ever receiving care in an inpatient bed. The discharge decision was made by ED providers in 7 hospitals, and inpatient providers in the other 7 hospitals.

Responses to questions providing detailed information on the process of utilization review were provided by 12 hospitals. Among this subset of hospitals, utilization review was consistently used to assign virtual inpatient observation status and was applied at admission (n = 6) or discharge (n = 8), depending on the hospital. One hospital applied observation status at both admission and discharge; 1 hospital did not provide a response. Responses to questions regarding utilization review are presented in Table 3.

Utilization Review Practices Related to Observation Status
Survey QuestionYes N (%)No N (%)
Preadmission utilization review is conducted at my hospital.3 (25)9 (75)
Utilization review occurs daily at my hospital.10 (83)2 (17)
A nonclinician can initiate an order for observation status.4 (33)8 (67)
Status can be changed after the patient has been discharged.10 (83)2 (17)
Inpatient status would always be assigned to a patient who receives less than 24 hours of care and meets inpatient criteria.9 (75)3 (25)
The same status would be assigned to different patients who received the same treatment of the same duration but have different payers.6 (50)6 (50)

DISCUSSION

This is the largest descriptive study of pediatric observation status practices in US freestanding children's hospitals and, to our knowledge, the first to include information about both the ED and inpatient treatment environments. There are two important findings of this study. First, designated OUs were uncommon among the group of freestanding children's hospitals that reported observation patient data to PHIS in 2010. Second, despite the fact that hospitals reported observation care was delivered in a variety of settings, virtual inpatient observation status was nearly ubiquitous. Among the subset of hospitals that provided information about the clinical care delivered to patients admitted under virtual inpatient observation, hospitals frequently reported there were no differences in the care delivered to observation patients when compared with other inpatients.

The results of our survey indicate that designated OUs are not a commonly available model of observation care in the study hospitals. In fact, the vast majority of the hospitals used virtual inpatient observation care, which did not differ from the care delivered to a child admitted as an inpatient. ED‐based OUs, which often provide operationally and physically distinct care to observation patients, have been touted as cost‐effective alternatives to inpatient care,1820 resulting in fewer admissions and reductions in length of stay19, 20 without a resultant increase in return ED‐visits or readmissions.2123 Research is needed to determine the patient‐level outcomes for short‐stay patients in the variety of available treatment settings (eg, physically or operationally distinct OUs and virtual observation), and to evaluate these outcomes in comparison to results published from designated OUs. The operationally and physically distinct features of a designated OU may be required to realize the benefits of observation attributed to individual patients.

While observation care has been historically provided by emergency physicians, there is increasing interest in the role of inpatient providers in observation care.9 According to our survey, children were admitted to observation status directly from clinics, following surgical procedures, scheduled tests and treatment, or after evaluation and treatment in the ED. As many of these children undergo virtual observation in inpatient areas, the role of inpatient providers, such as pediatric hospitalists, in observation care may be an important area for future study, education, and professional development. Novel models of care, with hospitalists collaborating with emergency physicians, may be of benefit to the children who require observation following initial stabilization and treatment in the ED.24, 25

We identified variation between hospitals in the methods used to assign observation status to an episode of care, including a wide range of length of stay criteria and different approaches to utilization review. In addition, the criteria payers use to reimburse for observation varied between payers, even within individual hospitals. The results of our survey may be driven by issues of reimbursement and not based on a model of optimizing patient care outcomes using designated OUs. Variations in reimbursement may limit hospital efforts to refine models of observation care for children. Designated OUs have been suggested as a method for improving ED patient flow,26 increasing inpatient capacity,27 and reducing costs of care.28 Standardization of observation status criteria and consistent reimbursement for observation services may be necessary for hospitals to develop operationally and physically distinct OUs, which may be essential to achieving the proposed benefits of observation medicine on costs of care, patient flow, and hospital capacity.

LIMITATIONS

Our study results should be interpreted with the following limitations in mind. First, the surveys were distributed only to freestanding children's hospitals who participate in PHIS. As a result, our findings may not be generalizable to the experiences of other children's hospitals or general hospitals caring for children. Questions in Survey 2 were focused on understanding observation care, delivered to patients following ED care, which may differ from observation practices related to a direct admission or following scheduled procedures, tests, or treatments. It is important to note that, hospitals that do not report observation status patient data to PHIS are still providing care to children with acute conditions that respond to brief periods of hospital treatment, even though it is not labeled observation. However, it was beyond the scope of this study to characterize the care delivered to all patients who experience a short stay.

The second main limitation of our study is the lower response rate to Survey 2. In addition, several surveys contained incomplete responses which further limits our sample size for some questions, specifically those related to utilization review. The lower response to Survey 2 could be related to the timing of the distribution of the 2 surveys, or to the information contained in the introductory e‐mail describing Survey 2. Hospitals with designated observation units, or where observation status care has been receiving attention, may have been more likely to respond to our survey, which may bias our results to reflect the experiences of hospitals experiencing particular successes or challenges with observation status care. A comparison of known hospital characteristics revealed no differences between hospitals that did and did not provide responses to Survey 2, but other unmeasured differences may exist.

CONCLUSION

Observation status is assigned using duration of treatment, clinical care guidelines, and level of care criteria, and is defined differently by individual hospitals and payers. Currently, the most widely available setting for pediatric observation status is within a virtual inpatient unit. Our results suggest that the care delivered to observation patients in virtual inpatient units is consistent with care provided to other inpatients. As such, observation status is largely an administrative/billing designation, which does not appear to reflect differences in clinical care. A consistent approach to the assignment of patients to observation status, and treatment of patients under observation among hospitals and payers, may be necessary to compare quality outcomes. Studies of the clinical care delivery and processes of care for short‐stay patients are needed to optimize models of pediatric observation care.

References
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  2. Hoholik S.Hospital ‘observation’ status a matter of billing.The Columbus Dispatch. February 14,2011.
  3. George J.Hospital payments downgraded.Philadelphia Business Journal. February 18,2011.
  4. Jaffe S.Medicare rules give full hospital benefits only to those with ‘inpatient’ status.The Washington Post. September 7,2010.
  5. Clark C.Hospitals caught between a rock and a hard place over observation.Health Leaders Media. September 15,2010.
  6. Clark C.AHA: observation status fears on the rise.Health Leaders Media. October 29,2010.
  7. Brody JE.Put your hospital bill under a microscope.The New York Times. September 13,2010.
  8. Medicare Hospital Manual Section 455.Washington, DC:Department of Health and Human Services, Centers for Medicare and Medicaid Services;2001.
  9. Barsuk J,Casey D,Graff L,Green A,Mace S.The Observation Unit: An Operational Overview for the Hospitalist. Society of Hospital Medicine White Paper. May 21, 2009. Available at: http://www.hospitalmedicine.org/Content/NavigationMenu/Publications/White Papers/White_Papers.htm. Accessed May 21,2009.
  10. Alpern ER,Calello DP,Windreich R,Osterhoudt K,Shaw KN.Utilization and unexpected hospitalization rates of a pediatric emergency department 23‐hour observation unit.Pediatr Emerg Care.2008;24(9):589594.
  11. Zebrack M,Kadish H,Nelson D.The pediatric hybrid observation unit: an analysis of 6477 consecutive patient encounters.Pediatrics.2005;115(5):e535e542.
  12. Macy ML,Kim CS,Sasson C,Lozon MM,Davis MM.Pediatric observation units in the United States: a systematic review.J Hosp Med.2010;5(3):172182.
  13. Shaw KN,Ruddy RM,Gorelick MH.Pediatric emergency department directors' benchmarking survey: fiscal year 2001.Pediatr Emerg Care.2003;19(3):143147.
  14. Crocetti MT,Barone MA,Amin DD,Walker AR.Pediatric observation status beds on an inpatient unit: an integrated care model.Pediatr Emerg Care.2004;20(1):1721.
  15. Marks MK,Lovejoy FH,Rutherford PA,Baskin MN.Impact of a short stay unit on asthma patients admitted to a tertiary pediatric hospital.Qual Manag Health Care.1997;6(1):1422.
  16. Mace SE,Graff L,Mikhail M,Ross M.A national survey of observation units in the United States.Am J Emerg Med.2003;21(7):529533.
  17. Yealy DM,De Hart DA,Ellis G,Wolfson AB.A survey of observation units in the United States.Am J Emerg Med.1989;7(6):576580.
  18. Balik B,Seitz CH,Gilliam T.When the patient requires observation not hospitalization.J Nurs Admin.1988;18(10):2023.
  19. Greenberg RA,Dudley NC,Rittichier KK.A reduction in hospitalization, length of stay, and hospital charges for croup with the institution of a pediatric observation unit.Am J Emerg Med.2006;24(7):818821.
  20. Listernick R,Zieserl E,Davis AT.Outpatient oral rehydration in the United States.Am J Dis Child.1986;140(3):211215.
  21. Holsti M,Kadish HA,Sill BL,Firth SD,Nelson DS.Pediatric closed head injuries treated in an observation unit.Pediatr Emerg Care.2005;21(10):639644.
  22. Mallory MD,Kadish H,Zebrack M,Nelson D.Use of pediatric observation unit for treatment of children with dehydration caused by gastroenteritis.Pediatr Emerg Care.2006;22(1):16.
  23. Miescier MJ,Nelson DS,Firth SD,Kadish HA.Children with asthma admitted to a pediatric observation unit.Pediatr Emerg Care.2005;21(10):645649.
  24. Krugman SD,Suggs A,Photowala HY,Beck A.Redefining the community pediatric hospitalist: the combined pediatric ED/inpatient unit.Pediatr Emerg Care.2007;23(1):3337.
  25. Abenhaim HA,Kahn SR,Raffoul J,Becker MR.Program description: a hospitalist‐run, medical short‐stay unit in a teaching hospital.Can Med Assoc J.2000;163(11):14771480.
  26. Hung GR,Kissoon N.Impact of an observation unit and an emergency department‐admitted patient transfer mandate in decreasing overcrowding in a pediatric emergency department: a discrete event simulation exercise.Pediatr Emerg Care.2009;25(3):160163.
  27. Fieldston ES,Hall M,Sills MR, et al.Children's hospitals do not acutely respond to high occupancy.Pediatrics.125(5):974981.
  28. Macy ML,Stanley RM,Lozon MM,Sasson C,Gebremariam A,Davis MM.Trends in high‐turnover stays among children hospitalized in the United States, 1993‐2003.Pediatrics.2009;123(3):9961002.
References
  1. Graff LG.Observation medicine: the healthcare system's tincture of time. In: Graff LG, ed.Principles of Observation Medicine.Dallas, TX:American College of Emergency Physicians;2010. Available at: http://www.acep.org/content.aspx?id=46142. Accessed February 18,year="2011"2011.
  2. Hoholik S.Hospital ‘observation’ status a matter of billing.The Columbus Dispatch. February 14,2011.
  3. George J.Hospital payments downgraded.Philadelphia Business Journal. February 18,2011.
  4. Jaffe S.Medicare rules give full hospital benefits only to those with ‘inpatient’ status.The Washington Post. September 7,2010.
  5. Clark C.Hospitals caught between a rock and a hard place over observation.Health Leaders Media. September 15,2010.
  6. Clark C.AHA: observation status fears on the rise.Health Leaders Media. October 29,2010.
  7. Brody JE.Put your hospital bill under a microscope.The New York Times. September 13,2010.
  8. Medicare Hospital Manual Section 455.Washington, DC:Department of Health and Human Services, Centers for Medicare and Medicaid Services;2001.
  9. Barsuk J,Casey D,Graff L,Green A,Mace S.The Observation Unit: An Operational Overview for the Hospitalist. Society of Hospital Medicine White Paper. May 21, 2009. Available at: http://www.hospitalmedicine.org/Content/NavigationMenu/Publications/White Papers/White_Papers.htm. Accessed May 21,2009.
  10. Alpern ER,Calello DP,Windreich R,Osterhoudt K,Shaw KN.Utilization and unexpected hospitalization rates of a pediatric emergency department 23‐hour observation unit.Pediatr Emerg Care.2008;24(9):589594.
  11. Zebrack M,Kadish H,Nelson D.The pediatric hybrid observation unit: an analysis of 6477 consecutive patient encounters.Pediatrics.2005;115(5):e535e542.
  12. Macy ML,Kim CS,Sasson C,Lozon MM,Davis MM.Pediatric observation units in the United States: a systematic review.J Hosp Med.2010;5(3):172182.
  13. Shaw KN,Ruddy RM,Gorelick MH.Pediatric emergency department directors' benchmarking survey: fiscal year 2001.Pediatr Emerg Care.2003;19(3):143147.
  14. Crocetti MT,Barone MA,Amin DD,Walker AR.Pediatric observation status beds on an inpatient unit: an integrated care model.Pediatr Emerg Care.2004;20(1):1721.
  15. Marks MK,Lovejoy FH,Rutherford PA,Baskin MN.Impact of a short stay unit on asthma patients admitted to a tertiary pediatric hospital.Qual Manag Health Care.1997;6(1):1422.
  16. Mace SE,Graff L,Mikhail M,Ross M.A national survey of observation units in the United States.Am J Emerg Med.2003;21(7):529533.
  17. Yealy DM,De Hart DA,Ellis G,Wolfson AB.A survey of observation units in the United States.Am J Emerg Med.1989;7(6):576580.
  18. Balik B,Seitz CH,Gilliam T.When the patient requires observation not hospitalization.J Nurs Admin.1988;18(10):2023.
  19. Greenberg RA,Dudley NC,Rittichier KK.A reduction in hospitalization, length of stay, and hospital charges for croup with the institution of a pediatric observation unit.Am J Emerg Med.2006;24(7):818821.
  20. Listernick R,Zieserl E,Davis AT.Outpatient oral rehydration in the United States.Am J Dis Child.1986;140(3):211215.
  21. Holsti M,Kadish HA,Sill BL,Firth SD,Nelson DS.Pediatric closed head injuries treated in an observation unit.Pediatr Emerg Care.2005;21(10):639644.
  22. Mallory MD,Kadish H,Zebrack M,Nelson D.Use of pediatric observation unit for treatment of children with dehydration caused by gastroenteritis.Pediatr Emerg Care.2006;22(1):16.
  23. Miescier MJ,Nelson DS,Firth SD,Kadish HA.Children with asthma admitted to a pediatric observation unit.Pediatr Emerg Care.2005;21(10):645649.
  24. Krugman SD,Suggs A,Photowala HY,Beck A.Redefining the community pediatric hospitalist: the combined pediatric ED/inpatient unit.Pediatr Emerg Care.2007;23(1):3337.
  25. Abenhaim HA,Kahn SR,Raffoul J,Becker MR.Program description: a hospitalist‐run, medical short‐stay unit in a teaching hospital.Can Med Assoc J.2000;163(11):14771480.
  26. Hung GR,Kissoon N.Impact of an observation unit and an emergency department‐admitted patient transfer mandate in decreasing overcrowding in a pediatric emergency department: a discrete event simulation exercise.Pediatr Emerg Care.2009;25(3):160163.
  27. Fieldston ES,Hall M,Sills MR, et al.Children's hospitals do not acutely respond to high occupancy.Pediatrics.125(5):974981.
  28. Macy ML,Stanley RM,Lozon MM,Sasson C,Gebremariam A,Davis MM.Trends in high‐turnover stays among children hospitalized in the United States, 1993‐2003.Pediatrics.2009;123(3):9961002.
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Refined Risk Stratification Guides Leukemia Transplant Decisions

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Refined Risk Stratification Guides Leukemia Transplant Decisions

SAN FRANCISCO – Risk stratification is becoming progressively more refined in adults with acute leukemia, helping to identify patients most likely to benefit from transplantation, according to Dr. Robert S. Negrin.

"What has become clear is that there is important prognostic information that one can gain from the patient at the time of diagnosis that can really help guide therapy," Dr. Negrin, a professor of medicine and chief of the division of blood and marrow transplantation at Stanford (Calif.) University, said at the annual Oncology Congress.

"Clearly, one can identify patients who are at higher risk for [poor outcome]. They can be split, cytogenetics being the first pass and then molecular markers being the second pass," he told attendees.

AML Status Predicts Outcome

Typically, three groups of adults with acute myeloid leukemia (AML) are offered transplantation, he said: those having a failure of induction chemotherapy, those in a first complete remission but having an intermediate or high risk for relapse, and those beyond first complete remission.

Dr. Robert S. Negrin

"The No. 1 predictor of outcome is the status of the disease at the time of transplant consideration, by far and away," noted Dr. Negrin. With transplantation, the 10-year overall survival rate is only 17% for the patients with induction failure or relapsed disease, in the Stanford experience. But patients in first complete remission fare better, at 57%.

Outcomes among patients in first complete remission are varied, however, with cytogenetics identifying distinct subgroups: better risk (10%-15% of these patients), poor risk (20%-30%), and intermediate risk (all the rest).

The better-risk subgroup does fairly well with chemotherapy alone, according to Dr. Negrin. "Those are patients that we generally would recommend not to consider transplant in first complete remission. One would only consider transplant at time of relapse or second remission." At the other extreme, the poor-risk subgroup "should clearly be considered for transplant up front."

Then there is the large subgroup having intermediate risk, many of whom have normal cytogenetics. Molecular markers have shown these cytogenetically normal AMLs to be highly heterogeneous (Blood 2010;115:453-74) – information that is now being used to guide transplant decisions.

For example, patients with mutation of the nucleophosmin (NPM1) gene have a favorable prognosis and are generally managed with chemotherapy alone. In contrast, their counterparts with a mutation of the FMS-like tyrosine kinase 3 (FLT3) gene have an unfavorable prognosis with chemotherapy and may fare better with transplantation.

"So this [molecular analysis] is very helpful because it helps split those patients with cytogenetically normal AML into favorable and unfavorable groups of patients," he commented. And he predicted that such molecular risk stratification will likely be even further refined in the future.

Research is also showing that molecular prognostic information may modify cytogenetic prognostic information. For instance, in the better-risk subgroup in first remission, among patients having the favorable inversion 16 cytogenetic profile, those with a KIT mutation have poorer survival with chemotherapy than do their counterparts with wild-type KIT (J. Clin. Oncol. 2006;24:3904-11).

"By and large, unfortunately, negative markers overcome the positive ones. That’s obviously a gross generalization, but unfortunately, it is reasonably accurate," Dr. Negrin commented. "So just finding a favorable cytogenetic abnormality does not tell the whole story. One needs to do the molecular studies as well."

And doing them early is key.

"Cytogenetic and molecular studies should be done on all leukemic patients," he stressed. "When we see patients in referral, a lot of patients still are not having these molecular studies done on a routine basis, and that’s unfortunate because it’s very important that we do the best we can to try to [evaluate] patients with the most advanced technologies we have. ... It’s very important that we identify these patients up front to treat them as appropriately as we can."

Know bcr-abl Status in ALL

Risk stratification is also improving among adults with acute lymphoblastic leukemia (ALL). In these cases as well, three groups are typically offered transplantation: those having a failure of induction chemotherapy, those in first complete remission having high-risk disease, and those in either a second complete remission or first relapse.

"Clearly, one can identify patients who are at higher risk for [poor outcome]. They can be split."

Disease status at the time of transplantation is also the best predictor of outcome in ALL. In the Stanford experience, the 10-year rate of overall survival is 62% for patients who undergo transplantation in first complete remission, compared with 43% for patients having relapsed or refractory disease at transplantation.

In terms of cytogenetics, the bcr-abl translocation (Philadelphia chromosome) is "a very ominous" finding among patients with B cell–lineage ALL, according to Dr. Negrin. These patients are not cured by intensive chemotherapy and derive only short-term benefit from tyrosine kinase inhibitors. Transplantation can achieve cure, however, although less often than in other ALL subtypes.

 

 

At Stanford, the 10-year rate of overall survival for patients having this cytogenetic abnormality is about 55% among those in first complete remission at transplantation, and 20% among those beyond first complete remission.

"Clearly, patients with Philadelphia chromosome–positive ALL are at extraordinary risk and are those who do benefit from transplant," he said.

Dr. Negrin reported that he sits on the data safety monitoring boards for Abbott Pharmaceuticals and Ziopharm, and is a consultant to Genzyme and Baxter. The Oncology Congress is presented by Reed Medical Education. Reed Medical Education and this news organization are owned by Reed Elsevier Inc.

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SAN FRANCISCO – Risk stratification is becoming progressively more refined in adults with acute leukemia, helping to identify patients most likely to benefit from transplantation, according to Dr. Robert S. Negrin.

"What has become clear is that there is important prognostic information that one can gain from the patient at the time of diagnosis that can really help guide therapy," Dr. Negrin, a professor of medicine and chief of the division of blood and marrow transplantation at Stanford (Calif.) University, said at the annual Oncology Congress.

"Clearly, one can identify patients who are at higher risk for [poor outcome]. They can be split, cytogenetics being the first pass and then molecular markers being the second pass," he told attendees.

AML Status Predicts Outcome

Typically, three groups of adults with acute myeloid leukemia (AML) are offered transplantation, he said: those having a failure of induction chemotherapy, those in a first complete remission but having an intermediate or high risk for relapse, and those beyond first complete remission.

Dr. Robert S. Negrin

"The No. 1 predictor of outcome is the status of the disease at the time of transplant consideration, by far and away," noted Dr. Negrin. With transplantation, the 10-year overall survival rate is only 17% for the patients with induction failure or relapsed disease, in the Stanford experience. But patients in first complete remission fare better, at 57%.

Outcomes among patients in first complete remission are varied, however, with cytogenetics identifying distinct subgroups: better risk (10%-15% of these patients), poor risk (20%-30%), and intermediate risk (all the rest).

The better-risk subgroup does fairly well with chemotherapy alone, according to Dr. Negrin. "Those are patients that we generally would recommend not to consider transplant in first complete remission. One would only consider transplant at time of relapse or second remission." At the other extreme, the poor-risk subgroup "should clearly be considered for transplant up front."

Then there is the large subgroup having intermediate risk, many of whom have normal cytogenetics. Molecular markers have shown these cytogenetically normal AMLs to be highly heterogeneous (Blood 2010;115:453-74) – information that is now being used to guide transplant decisions.

For example, patients with mutation of the nucleophosmin (NPM1) gene have a favorable prognosis and are generally managed with chemotherapy alone. In contrast, their counterparts with a mutation of the FMS-like tyrosine kinase 3 (FLT3) gene have an unfavorable prognosis with chemotherapy and may fare better with transplantation.

"So this [molecular analysis] is very helpful because it helps split those patients with cytogenetically normal AML into favorable and unfavorable groups of patients," he commented. And he predicted that such molecular risk stratification will likely be even further refined in the future.

Research is also showing that molecular prognostic information may modify cytogenetic prognostic information. For instance, in the better-risk subgroup in first remission, among patients having the favorable inversion 16 cytogenetic profile, those with a KIT mutation have poorer survival with chemotherapy than do their counterparts with wild-type KIT (J. Clin. Oncol. 2006;24:3904-11).

"By and large, unfortunately, negative markers overcome the positive ones. That’s obviously a gross generalization, but unfortunately, it is reasonably accurate," Dr. Negrin commented. "So just finding a favorable cytogenetic abnormality does not tell the whole story. One needs to do the molecular studies as well."

And doing them early is key.

"Cytogenetic and molecular studies should be done on all leukemic patients," he stressed. "When we see patients in referral, a lot of patients still are not having these molecular studies done on a routine basis, and that’s unfortunate because it’s very important that we do the best we can to try to [evaluate] patients with the most advanced technologies we have. ... It’s very important that we identify these patients up front to treat them as appropriately as we can."

Know bcr-abl Status in ALL

Risk stratification is also improving among adults with acute lymphoblastic leukemia (ALL). In these cases as well, three groups are typically offered transplantation: those having a failure of induction chemotherapy, those in first complete remission having high-risk disease, and those in either a second complete remission or first relapse.

"Clearly, one can identify patients who are at higher risk for [poor outcome]. They can be split."

Disease status at the time of transplantation is also the best predictor of outcome in ALL. In the Stanford experience, the 10-year rate of overall survival is 62% for patients who undergo transplantation in first complete remission, compared with 43% for patients having relapsed or refractory disease at transplantation.

In terms of cytogenetics, the bcr-abl translocation (Philadelphia chromosome) is "a very ominous" finding among patients with B cell–lineage ALL, according to Dr. Negrin. These patients are not cured by intensive chemotherapy and derive only short-term benefit from tyrosine kinase inhibitors. Transplantation can achieve cure, however, although less often than in other ALL subtypes.

 

 

At Stanford, the 10-year rate of overall survival for patients having this cytogenetic abnormality is about 55% among those in first complete remission at transplantation, and 20% among those beyond first complete remission.

"Clearly, patients with Philadelphia chromosome–positive ALL are at extraordinary risk and are those who do benefit from transplant," he said.

Dr. Negrin reported that he sits on the data safety monitoring boards for Abbott Pharmaceuticals and Ziopharm, and is a consultant to Genzyme and Baxter. The Oncology Congress is presented by Reed Medical Education. Reed Medical Education and this news organization are owned by Reed Elsevier Inc.

SAN FRANCISCO – Risk stratification is becoming progressively more refined in adults with acute leukemia, helping to identify patients most likely to benefit from transplantation, according to Dr. Robert S. Negrin.

"What has become clear is that there is important prognostic information that one can gain from the patient at the time of diagnosis that can really help guide therapy," Dr. Negrin, a professor of medicine and chief of the division of blood and marrow transplantation at Stanford (Calif.) University, said at the annual Oncology Congress.

"Clearly, one can identify patients who are at higher risk for [poor outcome]. They can be split, cytogenetics being the first pass and then molecular markers being the second pass," he told attendees.

AML Status Predicts Outcome

Typically, three groups of adults with acute myeloid leukemia (AML) are offered transplantation, he said: those having a failure of induction chemotherapy, those in a first complete remission but having an intermediate or high risk for relapse, and those beyond first complete remission.

Dr. Robert S. Negrin

"The No. 1 predictor of outcome is the status of the disease at the time of transplant consideration, by far and away," noted Dr. Negrin. With transplantation, the 10-year overall survival rate is only 17% for the patients with induction failure or relapsed disease, in the Stanford experience. But patients in first complete remission fare better, at 57%.

Outcomes among patients in first complete remission are varied, however, with cytogenetics identifying distinct subgroups: better risk (10%-15% of these patients), poor risk (20%-30%), and intermediate risk (all the rest).

The better-risk subgroup does fairly well with chemotherapy alone, according to Dr. Negrin. "Those are patients that we generally would recommend not to consider transplant in first complete remission. One would only consider transplant at time of relapse or second remission." At the other extreme, the poor-risk subgroup "should clearly be considered for transplant up front."

Then there is the large subgroup having intermediate risk, many of whom have normal cytogenetics. Molecular markers have shown these cytogenetically normal AMLs to be highly heterogeneous (Blood 2010;115:453-74) – information that is now being used to guide transplant decisions.

For example, patients with mutation of the nucleophosmin (NPM1) gene have a favorable prognosis and are generally managed with chemotherapy alone. In contrast, their counterparts with a mutation of the FMS-like tyrosine kinase 3 (FLT3) gene have an unfavorable prognosis with chemotherapy and may fare better with transplantation.

"So this [molecular analysis] is very helpful because it helps split those patients with cytogenetically normal AML into favorable and unfavorable groups of patients," he commented. And he predicted that such molecular risk stratification will likely be even further refined in the future.

Research is also showing that molecular prognostic information may modify cytogenetic prognostic information. For instance, in the better-risk subgroup in first remission, among patients having the favorable inversion 16 cytogenetic profile, those with a KIT mutation have poorer survival with chemotherapy than do their counterparts with wild-type KIT (J. Clin. Oncol. 2006;24:3904-11).

"By and large, unfortunately, negative markers overcome the positive ones. That’s obviously a gross generalization, but unfortunately, it is reasonably accurate," Dr. Negrin commented. "So just finding a favorable cytogenetic abnormality does not tell the whole story. One needs to do the molecular studies as well."

And doing them early is key.

"Cytogenetic and molecular studies should be done on all leukemic patients," he stressed. "When we see patients in referral, a lot of patients still are not having these molecular studies done on a routine basis, and that’s unfortunate because it’s very important that we do the best we can to try to [evaluate] patients with the most advanced technologies we have. ... It’s very important that we identify these patients up front to treat them as appropriately as we can."

Know bcr-abl Status in ALL

Risk stratification is also improving among adults with acute lymphoblastic leukemia (ALL). In these cases as well, three groups are typically offered transplantation: those having a failure of induction chemotherapy, those in first complete remission having high-risk disease, and those in either a second complete remission or first relapse.

"Clearly, one can identify patients who are at higher risk for [poor outcome]. They can be split."

Disease status at the time of transplantation is also the best predictor of outcome in ALL. In the Stanford experience, the 10-year rate of overall survival is 62% for patients who undergo transplantation in first complete remission, compared with 43% for patients having relapsed or refractory disease at transplantation.

In terms of cytogenetics, the bcr-abl translocation (Philadelphia chromosome) is "a very ominous" finding among patients with B cell–lineage ALL, according to Dr. Negrin. These patients are not cured by intensive chemotherapy and derive only short-term benefit from tyrosine kinase inhibitors. Transplantation can achieve cure, however, although less often than in other ALL subtypes.

 

 

At Stanford, the 10-year rate of overall survival for patients having this cytogenetic abnormality is about 55% among those in first complete remission at transplantation, and 20% among those beyond first complete remission.

"Clearly, patients with Philadelphia chromosome–positive ALL are at extraordinary risk and are those who do benefit from transplant," he said.

Dr. Negrin reported that he sits on the data safety monitoring boards for Abbott Pharmaceuticals and Ziopharm, and is a consultant to Genzyme and Baxter. The Oncology Congress is presented by Reed Medical Education. Reed Medical Education and this news organization are owned by Reed Elsevier Inc.

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Measuring Quality of Care

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Measuring Quality of Care

The measurement of quality of care has been the mantra of health policy care for the past decade, and has become as American as apple pie and Chevrolet. Yet there have been few data showing that the institution of quality of care guidelines has had any impact on mortality or morbidity.

Despite this lack of data, hospitals are being financially rewarded or penalized based on their ability to meet guidelines established by the Center for Medicare and Medicaid Services in conjunction with the American College of Cardiology and the American Heart Association. Two recent reports provide insight on the progress we have achieved with guidelines in heart failure and in instituting the shortening of the door-to-balloon time (D2B) for percutaneous coronary artery intervention (PCI) in ST-segment elevation MI.

Decreasing heart failure readmission within 30 days, which occurs in approximately one-third of hospitalized patients, has become a target for the quality improvement process. Using the "Get With the Guidelines Heart Failure" registry, a recent analysis indicates that there is a very poor correlation between the achievement or those standards and the 30 day mortality and readmission rate (Circulation 2011;124:712-9).

    By Dr. Sidney Goldstein

The guidelines include measurement of cardiac function, application of the usual heart failure medications, and discharge instructions. Data were collected in almost 20,000 patients in 153 hospitals during 2005. Adherence to these guidelines was quite good and was achieved in more than 75% of the hospitals, yet it was unrelated to the 30 day mortality or hospital readmission.

The authors emphasized that the factors that affect survival and readmission are very heterogeneous. Basing pay-for-performance standards on a single measure (such as readmission rates) may penalize institutions that face impediments that are unrelated to performance measurements. Penalizing hospitals that have high readmission rates as a result of a large populations of vulnerable patients may penalize institutions that actually could benefit from more resources in order to achieve better outcomes.

The effectiveness of PCI, when it is performed in less than 90 minutes in STEMI patients, has been supported by clinical data from selected cardiac centers. The application to the larger patient population of the guideline to shorten D2B time to less than 90 minutes has been championed by the ACC, which launched the D2B Alliance in 2006 and by the AHA in 2007 with its Mission: Lifeline program.

The success of these efforts was reported in August (Circulation 2011;124:1038-45) and indicates that in a selected group of CMS-reporting hospitals, D2B time decreased from 96 minutes in 2005 to 64 minutes in 2010. In addition, the percentage of patients with a D2B time of less than 90 minutes increased from 44% to 91%, and that of patients with D2B of less than 75 minutes rose from 27% to 70%. The success of this effort is to be applauded, but the report is striking for its absence of any information regarding outcomes of the shortened D2B time. Unfortunately, there is little outcome information available, with the exception of data from Michigan on all Medicare providers in that state, which indicates that although D2B time decreased by 90 minutes, there was no significant benefit.

Measurement of quality remains elusive, in spite of the good intentions of physicians and health planners to use a variety of seemingly beneficial criteria for its definition.

As consumers, we know that quality is not easy to measure. Most of us can compare the quality of American automobiles vs. their foreign competitors by "kicking the tires," that is, by doing a little research. But even with this knowledge, we are not always sure that the particular car we buy will be better or last longer. Health care faces the same problem. Establishing quality care measurements will require a great deal of further research before we can reward or penalize hospitals and physicians for their performance.

It is possible that in our zeal to measure what we can, we are confusing process with content. How to put a number on the performance that leads to quality remains uncertain using our current methodology.-

Dr. Sidney Goldstein is professor of medicine at Wayne State University and division head emeritus of cardiovascular medicine at Henry Ford Hospital, both in Detroit. He is on data safety monitoring committees for the National Institutes of Health and several pharmaceutical companies.

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The measurement of quality of care has been the mantra of health policy care for the past decade, and has become as American as apple pie and Chevrolet. Yet there have been few data showing that the institution of quality of care guidelines has had any impact on mortality or morbidity.

Despite this lack of data, hospitals are being financially rewarded or penalized based on their ability to meet guidelines established by the Center for Medicare and Medicaid Services in conjunction with the American College of Cardiology and the American Heart Association. Two recent reports provide insight on the progress we have achieved with guidelines in heart failure and in instituting the shortening of the door-to-balloon time (D2B) for percutaneous coronary artery intervention (PCI) in ST-segment elevation MI.

Decreasing heart failure readmission within 30 days, which occurs in approximately one-third of hospitalized patients, has become a target for the quality improvement process. Using the "Get With the Guidelines Heart Failure" registry, a recent analysis indicates that there is a very poor correlation between the achievement or those standards and the 30 day mortality and readmission rate (Circulation 2011;124:712-9).

    By Dr. Sidney Goldstein

The guidelines include measurement of cardiac function, application of the usual heart failure medications, and discharge instructions. Data were collected in almost 20,000 patients in 153 hospitals during 2005. Adherence to these guidelines was quite good and was achieved in more than 75% of the hospitals, yet it was unrelated to the 30 day mortality or hospital readmission.

The authors emphasized that the factors that affect survival and readmission are very heterogeneous. Basing pay-for-performance standards on a single measure (such as readmission rates) may penalize institutions that face impediments that are unrelated to performance measurements. Penalizing hospitals that have high readmission rates as a result of a large populations of vulnerable patients may penalize institutions that actually could benefit from more resources in order to achieve better outcomes.

The effectiveness of PCI, when it is performed in less than 90 minutes in STEMI patients, has been supported by clinical data from selected cardiac centers. The application to the larger patient population of the guideline to shorten D2B time to less than 90 minutes has been championed by the ACC, which launched the D2B Alliance in 2006 and by the AHA in 2007 with its Mission: Lifeline program.

The success of these efforts was reported in August (Circulation 2011;124:1038-45) and indicates that in a selected group of CMS-reporting hospitals, D2B time decreased from 96 minutes in 2005 to 64 minutes in 2010. In addition, the percentage of patients with a D2B time of less than 90 minutes increased from 44% to 91%, and that of patients with D2B of less than 75 minutes rose from 27% to 70%. The success of this effort is to be applauded, but the report is striking for its absence of any information regarding outcomes of the shortened D2B time. Unfortunately, there is little outcome information available, with the exception of data from Michigan on all Medicare providers in that state, which indicates that although D2B time decreased by 90 minutes, there was no significant benefit.

Measurement of quality remains elusive, in spite of the good intentions of physicians and health planners to use a variety of seemingly beneficial criteria for its definition.

As consumers, we know that quality is not easy to measure. Most of us can compare the quality of American automobiles vs. their foreign competitors by "kicking the tires," that is, by doing a little research. But even with this knowledge, we are not always sure that the particular car we buy will be better or last longer. Health care faces the same problem. Establishing quality care measurements will require a great deal of further research before we can reward or penalize hospitals and physicians for their performance.

It is possible that in our zeal to measure what we can, we are confusing process with content. How to put a number on the performance that leads to quality remains uncertain using our current methodology.-

Dr. Sidney Goldstein is professor of medicine at Wayne State University and division head emeritus of cardiovascular medicine at Henry Ford Hospital, both in Detroit. He is on data safety monitoring committees for the National Institutes of Health and several pharmaceutical companies.

The measurement of quality of care has been the mantra of health policy care for the past decade, and has become as American as apple pie and Chevrolet. Yet there have been few data showing that the institution of quality of care guidelines has had any impact on mortality or morbidity.

Despite this lack of data, hospitals are being financially rewarded or penalized based on their ability to meet guidelines established by the Center for Medicare and Medicaid Services in conjunction with the American College of Cardiology and the American Heart Association. Two recent reports provide insight on the progress we have achieved with guidelines in heart failure and in instituting the shortening of the door-to-balloon time (D2B) for percutaneous coronary artery intervention (PCI) in ST-segment elevation MI.

Decreasing heart failure readmission within 30 days, which occurs in approximately one-third of hospitalized patients, has become a target for the quality improvement process. Using the "Get With the Guidelines Heart Failure" registry, a recent analysis indicates that there is a very poor correlation between the achievement or those standards and the 30 day mortality and readmission rate (Circulation 2011;124:712-9).

    By Dr. Sidney Goldstein

The guidelines include measurement of cardiac function, application of the usual heart failure medications, and discharge instructions. Data were collected in almost 20,000 patients in 153 hospitals during 2005. Adherence to these guidelines was quite good and was achieved in more than 75% of the hospitals, yet it was unrelated to the 30 day mortality or hospital readmission.

The authors emphasized that the factors that affect survival and readmission are very heterogeneous. Basing pay-for-performance standards on a single measure (such as readmission rates) may penalize institutions that face impediments that are unrelated to performance measurements. Penalizing hospitals that have high readmission rates as a result of a large populations of vulnerable patients may penalize institutions that actually could benefit from more resources in order to achieve better outcomes.

The effectiveness of PCI, when it is performed in less than 90 minutes in STEMI patients, has been supported by clinical data from selected cardiac centers. The application to the larger patient population of the guideline to shorten D2B time to less than 90 minutes has been championed by the ACC, which launched the D2B Alliance in 2006 and by the AHA in 2007 with its Mission: Lifeline program.

The success of these efforts was reported in August (Circulation 2011;124:1038-45) and indicates that in a selected group of CMS-reporting hospitals, D2B time decreased from 96 minutes in 2005 to 64 minutes in 2010. In addition, the percentage of patients with a D2B time of less than 90 minutes increased from 44% to 91%, and that of patients with D2B of less than 75 minutes rose from 27% to 70%. The success of this effort is to be applauded, but the report is striking for its absence of any information regarding outcomes of the shortened D2B time. Unfortunately, there is little outcome information available, with the exception of data from Michigan on all Medicare providers in that state, which indicates that although D2B time decreased by 90 minutes, there was no significant benefit.

Measurement of quality remains elusive, in spite of the good intentions of physicians and health planners to use a variety of seemingly beneficial criteria for its definition.

As consumers, we know that quality is not easy to measure. Most of us can compare the quality of American automobiles vs. their foreign competitors by "kicking the tires," that is, by doing a little research. But even with this knowledge, we are not always sure that the particular car we buy will be better or last longer. Health care faces the same problem. Establishing quality care measurements will require a great deal of further research before we can reward or penalize hospitals and physicians for their performance.

It is possible that in our zeal to measure what we can, we are confusing process with content. How to put a number on the performance that leads to quality remains uncertain using our current methodology.-

Dr. Sidney Goldstein is professor of medicine at Wayne State University and division head emeritus of cardiovascular medicine at Henry Ford Hospital, both in Detroit. He is on data safety monitoring committees for the National Institutes of Health and several pharmaceutical companies.

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Dispel Myths to Recognize Child Abuse

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SAN FRANCISCO – The color of a bruise indicates its age. You’ll almost always see bruising when a child has a fracture. Sexual abuse leaves behind physical exam findings.

These are all myths that can get in the way of physicians recognizing abuse of an infant or child. Physicians are required by law to report all suspicions of nonaccidental trauma, a catch-all term for child abuse, shaken baby syndrome, and battered-child syndrome.

Dr. Maureen D. McCollough

Physicians can meet that obligation by ignoring these myths, recognizing red flags for nonaccidental trauma, and being familiar with signs of accidental trauma or medical conditions that can mimic the physical findings of nonaccidental trauma, Dr. Maureen D. McCollough said at the annual meeting of the American College of Emergency Physicians.

Myth: The age of bruises can be accurately determined by their color – red, purple, yellow, green, or brown. In reality, there is no predictable order or chronology of color in bruising, and even in the same person bruises of similar ages may have different colors, said Dr. McCollough of the University of Southern California, Los Angeles, and director of pediatric emergency medicine at Los Angeles County USC Medical Center.

Studies have shown poor interobserver reliability in assessing bruise coloring and poor physician accuracy in characterizing coloring.

Red flags of suspicion should go up if you see multiple bruises or lacerations, or see them in unusual locations. Accidental toddler tumbles can produce multiple bruises, but generally these are on bony prominences. Unusual locations for pediatric bruising include the lower back, buttocks, cheeks, ears, or neck. Bruising anywhere in an infant who is not yet mobile is suspicious.

"Remember, if you don’t cruise, you don’t bruise," she said.

Be suspicious if the pattern of the marks, bruises, or lacerations remind you of an object like a hand, hairbrush, belt, or buckle. Bruises around wrists or extremities may be from the child being tied up. Tight elastic socks can leave a mark around an infant’s leg that mimics this, in which case the parent should be able to provide a sock with dimensions that match the bruising.

Visible injuries around a baby’s mouth or frenulum should raise a red flag for forced feeding. Genital injuries may indicate forced toilet training. Hair pulling produces characteristic marks of traumatic alopecia – an incompletely bald child with diffuse alopecia, broken hairs, and no loose hairs at the periphery.

A wide variety of problems can mimic the visual signs of nonaccidental bruising, including dermal melanosis, vitamin K deficiency, leukemia, hemophilia, millipede secretions, Ehlers-Danlos syndrome, dermatitis, lice, and more.

An equally impressive array of events can mimic the look of abusive burns, bullae, and erythema. These include the cultural practices of coining, cupping, spooning, or moxibustion, skin infections, allergic reactions, herpes or varicella infection, diaper dermatitis, impetigo, and more.

Accidental burns usually have a typical "splash" pattern if liquid is involved, or a child who grasps something hot will have burns on the volar aspect of the fingers and palm. Accidental cigarette burns usually have a streaky appearance.

If there are no splash marks, or there is a sharp line of demarcation, or burns are limited to the perineum, consider that the child may have been forcibly immersed in something hot. Intentional cigarette burns tend to be similar in size – often 5-mm circles – and create injuries from bullae to deep craters that scab over. These usually are on the palms or soles but can be anywhere on the body. Again, be suspicious if you see a burn mark that looks like an object, such as a radiator or an iron.

Myth: Fractures usually are associated with overlying bruising. In fact, children with inflicted skeletal fractures often have no associated bruising. Bruising is present in only 43% of skull fractures and less than 20% of lower extremity fractures in cases of abuse, Dr. McCollough said.

Infants who can’t walk shouldn’t fracture. Spiral fractures caused by the twisting of a long bone such as the femur suggest nonaccidental trauma. Toddler spiral fractures of the tibia, on the other hand, are very common, caused when a leg is trapped under the body during a fall, such as getting a leg caught in a couch. "This is not abuse," she said.

Raise the red flags when you see swelling of a body part that is out of proportion to a described injury; this may indicate an underlying fracture. A diaphyseal (midshaft) fracture in a child less than 3 years old is suspect, and metaphyseal or epiphyseal fractures beyond the newborn period (also called corner fractures or bucket handle fractures) are virtually diagnostic of abuse.

 

 

The posterior ribs are the most common area of nonaccidental rib fractures.

Suspect head injuries and possible abuse if the child has unexplained seizures, vomiting, changes in neurological or mental status, or large scalp hematomas. Be suspicious if the parents’ explanation changes over time, if there is intracranial bleeds after "minimal" trauma, or if you find retinal hemorrhages outside of the newborn period, she said.

Myth: Sexual abuse leaves physical findings. More myths: A colposcope is needed to detect sexual abuse, and some girls are born without hymens.

Although hymens come in a wide variety of shapes and sizes, a study of more than 1,100 newborn girls showed that all of them had one, she noted. Reviews of cases of sexual abuse show that physical exam findings of pediatric sexual abuse are rare because the tissue is very elastic and heals quickly.

Physical evidence will be more likely if force was used, if the child resisted, if there are great differences in the sizes and ages of the perpetrator and victim, and if a foreign object was forced into the mouth, vagina, or anus. Bruising or bite marks on a child’s penis may suggest nonaccidental trauma from forced toilet training.

When you see visible clues to what may be abuse, photograph or draw what you see and include something in the image to show size or scale. Don’t just rely on written notes, she said.

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SAN FRANCISCO – The color of a bruise indicates its age. You’ll almost always see bruising when a child has a fracture. Sexual abuse leaves behind physical exam findings.

These are all myths that can get in the way of physicians recognizing abuse of an infant or child. Physicians are required by law to report all suspicions of nonaccidental trauma, a catch-all term for child abuse, shaken baby syndrome, and battered-child syndrome.

Dr. Maureen D. McCollough

Physicians can meet that obligation by ignoring these myths, recognizing red flags for nonaccidental trauma, and being familiar with signs of accidental trauma or medical conditions that can mimic the physical findings of nonaccidental trauma, Dr. Maureen D. McCollough said at the annual meeting of the American College of Emergency Physicians.

Myth: The age of bruises can be accurately determined by their color – red, purple, yellow, green, or brown. In reality, there is no predictable order or chronology of color in bruising, and even in the same person bruises of similar ages may have different colors, said Dr. McCollough of the University of Southern California, Los Angeles, and director of pediatric emergency medicine at Los Angeles County USC Medical Center.

Studies have shown poor interobserver reliability in assessing bruise coloring and poor physician accuracy in characterizing coloring.

Red flags of suspicion should go up if you see multiple bruises or lacerations, or see them in unusual locations. Accidental toddler tumbles can produce multiple bruises, but generally these are on bony prominences. Unusual locations for pediatric bruising include the lower back, buttocks, cheeks, ears, or neck. Bruising anywhere in an infant who is not yet mobile is suspicious.

"Remember, if you don’t cruise, you don’t bruise," she said.

Be suspicious if the pattern of the marks, bruises, or lacerations remind you of an object like a hand, hairbrush, belt, or buckle. Bruises around wrists or extremities may be from the child being tied up. Tight elastic socks can leave a mark around an infant’s leg that mimics this, in which case the parent should be able to provide a sock with dimensions that match the bruising.

Visible injuries around a baby’s mouth or frenulum should raise a red flag for forced feeding. Genital injuries may indicate forced toilet training. Hair pulling produces characteristic marks of traumatic alopecia – an incompletely bald child with diffuse alopecia, broken hairs, and no loose hairs at the periphery.

A wide variety of problems can mimic the visual signs of nonaccidental bruising, including dermal melanosis, vitamin K deficiency, leukemia, hemophilia, millipede secretions, Ehlers-Danlos syndrome, dermatitis, lice, and more.

An equally impressive array of events can mimic the look of abusive burns, bullae, and erythema. These include the cultural practices of coining, cupping, spooning, or moxibustion, skin infections, allergic reactions, herpes or varicella infection, diaper dermatitis, impetigo, and more.

Accidental burns usually have a typical "splash" pattern if liquid is involved, or a child who grasps something hot will have burns on the volar aspect of the fingers and palm. Accidental cigarette burns usually have a streaky appearance.

If there are no splash marks, or there is a sharp line of demarcation, or burns are limited to the perineum, consider that the child may have been forcibly immersed in something hot. Intentional cigarette burns tend to be similar in size – often 5-mm circles – and create injuries from bullae to deep craters that scab over. These usually are on the palms or soles but can be anywhere on the body. Again, be suspicious if you see a burn mark that looks like an object, such as a radiator or an iron.

Myth: Fractures usually are associated with overlying bruising. In fact, children with inflicted skeletal fractures often have no associated bruising. Bruising is present in only 43% of skull fractures and less than 20% of lower extremity fractures in cases of abuse, Dr. McCollough said.

Infants who can’t walk shouldn’t fracture. Spiral fractures caused by the twisting of a long bone such as the femur suggest nonaccidental trauma. Toddler spiral fractures of the tibia, on the other hand, are very common, caused when a leg is trapped under the body during a fall, such as getting a leg caught in a couch. "This is not abuse," she said.

Raise the red flags when you see swelling of a body part that is out of proportion to a described injury; this may indicate an underlying fracture. A diaphyseal (midshaft) fracture in a child less than 3 years old is suspect, and metaphyseal or epiphyseal fractures beyond the newborn period (also called corner fractures or bucket handle fractures) are virtually diagnostic of abuse.

 

 

The posterior ribs are the most common area of nonaccidental rib fractures.

Suspect head injuries and possible abuse if the child has unexplained seizures, vomiting, changes in neurological or mental status, or large scalp hematomas. Be suspicious if the parents’ explanation changes over time, if there is intracranial bleeds after "minimal" trauma, or if you find retinal hemorrhages outside of the newborn period, she said.

Myth: Sexual abuse leaves physical findings. More myths: A colposcope is needed to detect sexual abuse, and some girls are born without hymens.

Although hymens come in a wide variety of shapes and sizes, a study of more than 1,100 newborn girls showed that all of them had one, she noted. Reviews of cases of sexual abuse show that physical exam findings of pediatric sexual abuse are rare because the tissue is very elastic and heals quickly.

Physical evidence will be more likely if force was used, if the child resisted, if there are great differences in the sizes and ages of the perpetrator and victim, and if a foreign object was forced into the mouth, vagina, or anus. Bruising or bite marks on a child’s penis may suggest nonaccidental trauma from forced toilet training.

When you see visible clues to what may be abuse, photograph or draw what you see and include something in the image to show size or scale. Don’t just rely on written notes, she said.

SAN FRANCISCO – The color of a bruise indicates its age. You’ll almost always see bruising when a child has a fracture. Sexual abuse leaves behind physical exam findings.

These are all myths that can get in the way of physicians recognizing abuse of an infant or child. Physicians are required by law to report all suspicions of nonaccidental trauma, a catch-all term for child abuse, shaken baby syndrome, and battered-child syndrome.

Dr. Maureen D. McCollough

Physicians can meet that obligation by ignoring these myths, recognizing red flags for nonaccidental trauma, and being familiar with signs of accidental trauma or medical conditions that can mimic the physical findings of nonaccidental trauma, Dr. Maureen D. McCollough said at the annual meeting of the American College of Emergency Physicians.

Myth: The age of bruises can be accurately determined by their color – red, purple, yellow, green, or brown. In reality, there is no predictable order or chronology of color in bruising, and even in the same person bruises of similar ages may have different colors, said Dr. McCollough of the University of Southern California, Los Angeles, and director of pediatric emergency medicine at Los Angeles County USC Medical Center.

Studies have shown poor interobserver reliability in assessing bruise coloring and poor physician accuracy in characterizing coloring.

Red flags of suspicion should go up if you see multiple bruises or lacerations, or see them in unusual locations. Accidental toddler tumbles can produce multiple bruises, but generally these are on bony prominences. Unusual locations for pediatric bruising include the lower back, buttocks, cheeks, ears, or neck. Bruising anywhere in an infant who is not yet mobile is suspicious.

"Remember, if you don’t cruise, you don’t bruise," she said.

Be suspicious if the pattern of the marks, bruises, or lacerations remind you of an object like a hand, hairbrush, belt, or buckle. Bruises around wrists or extremities may be from the child being tied up. Tight elastic socks can leave a mark around an infant’s leg that mimics this, in which case the parent should be able to provide a sock with dimensions that match the bruising.

Visible injuries around a baby’s mouth or frenulum should raise a red flag for forced feeding. Genital injuries may indicate forced toilet training. Hair pulling produces characteristic marks of traumatic alopecia – an incompletely bald child with diffuse alopecia, broken hairs, and no loose hairs at the periphery.

A wide variety of problems can mimic the visual signs of nonaccidental bruising, including dermal melanosis, vitamin K deficiency, leukemia, hemophilia, millipede secretions, Ehlers-Danlos syndrome, dermatitis, lice, and more.

An equally impressive array of events can mimic the look of abusive burns, bullae, and erythema. These include the cultural practices of coining, cupping, spooning, or moxibustion, skin infections, allergic reactions, herpes or varicella infection, diaper dermatitis, impetigo, and more.

Accidental burns usually have a typical "splash" pattern if liquid is involved, or a child who grasps something hot will have burns on the volar aspect of the fingers and palm. Accidental cigarette burns usually have a streaky appearance.

If there are no splash marks, or there is a sharp line of demarcation, or burns are limited to the perineum, consider that the child may have been forcibly immersed in something hot. Intentional cigarette burns tend to be similar in size – often 5-mm circles – and create injuries from bullae to deep craters that scab over. These usually are on the palms or soles but can be anywhere on the body. Again, be suspicious if you see a burn mark that looks like an object, such as a radiator or an iron.

Myth: Fractures usually are associated with overlying bruising. In fact, children with inflicted skeletal fractures often have no associated bruising. Bruising is present in only 43% of skull fractures and less than 20% of lower extremity fractures in cases of abuse, Dr. McCollough said.

Infants who can’t walk shouldn’t fracture. Spiral fractures caused by the twisting of a long bone such as the femur suggest nonaccidental trauma. Toddler spiral fractures of the tibia, on the other hand, are very common, caused when a leg is trapped under the body during a fall, such as getting a leg caught in a couch. "This is not abuse," she said.

Raise the red flags when you see swelling of a body part that is out of proportion to a described injury; this may indicate an underlying fracture. A diaphyseal (midshaft) fracture in a child less than 3 years old is suspect, and metaphyseal or epiphyseal fractures beyond the newborn period (also called corner fractures or bucket handle fractures) are virtually diagnostic of abuse.

 

 

The posterior ribs are the most common area of nonaccidental rib fractures.

Suspect head injuries and possible abuse if the child has unexplained seizures, vomiting, changes in neurological or mental status, or large scalp hematomas. Be suspicious if the parents’ explanation changes over time, if there is intracranial bleeds after "minimal" trauma, or if you find retinal hemorrhages outside of the newborn period, she said.

Myth: Sexual abuse leaves physical findings. More myths: A colposcope is needed to detect sexual abuse, and some girls are born without hymens.

Although hymens come in a wide variety of shapes and sizes, a study of more than 1,100 newborn girls showed that all of them had one, she noted. Reviews of cases of sexual abuse show that physical exam findings of pediatric sexual abuse are rare because the tissue is very elastic and heals quickly.

Physical evidence will be more likely if force was used, if the child resisted, if there are great differences in the sizes and ages of the perpetrator and victim, and if a foreign object was forced into the mouth, vagina, or anus. Bruising or bite marks on a child’s penis may suggest nonaccidental trauma from forced toilet training.

When you see visible clues to what may be abuse, photograph or draw what you see and include something in the image to show size or scale. Don’t just rely on written notes, she said.

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The Child With Short Stature

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Growth is a terrific biomarker for general health, and a slowing of growth may be a sign of underlying disease. So which children deserve an evaluation?

Short stature is defined as growth below the third percentile. In addition to these children, a child who is crossing one percentile line on the growth chart also deserves evaluation. The sole exception is an otherwise healthy child developing well who may, in the second year of life, adjust to genetics (for example, a big baby born to short parents).

By Debra R. Counts

The key is to identify the short child by monitoring the growth pattern, evaluating him to find a specific diagnosis, and then targeting the clinical intervention.

Consistent measurement of a child’s height at every health care encounter is the most important strategy to identify a child with short stature. Some children do not go for regular well-child visits once they have most of their immunizations completed and may show up for sick visits only. In many cases, only weight but not height is measured during these acute care visits. For example, in my pediatric endocrinology practice, it is not unusual to see children who are 12 years old without a height measurement for the previous 7 years because the family did not present to the primary care physician for well care.

The benefits of these routine measurements go beyond identification of short stature. Any child with poor growth needs to be evaluated by a specialist who can go through an extensive differential diagnosis.

Helpful guidelines include the 2009 "Evidence-Based Clinical Practice Guideline on Linear Growth Measurement of Children" from clinicians at Blanks Children’s Hospital in Des Moines, Iowa, and "Development of an Evidence-Based Clinical Practice Guideline on Linear Growth Measurement of Children"’ (J. Pediatr. Nursing 2011;26:312-24).

Sometimes I hear families or primary care physicians say, "Let’s just wait and see." It is advisable to see a child back in 6 months to monitor growth velocity, but watching poor linear growth year after year will not optimize the height outcome. The problem with later intervention is that the older child with short stature does not have enough "catch up" time. Therefore, additional evaluation is warranted if you diagnose short stature and you remain concerned after 6 months.

For a child who warrants this additional evaluation, a bone age x-ray is helpful (although not diagnostic of a specific condition). Other recommended studies include a complete blood count; chemistry panel; free thyroxine (free T4) with thyroid stimulating hormone (TSH); insulinlike growth factor 1 (IGF-1), C-reactive protein, urinalysis, and a celiac panel (IgG and IgA class of anti–tissue transglutaminase [anti-tTG]; antiendomysial antibodies, IgA class [EMA-IgA]; and quantitative IgA). In addition, for girls, a karyotype can rule out Turner’s syndrome.

Obtaining the correct test can sometimes be a problem. For example, IGF-1 is similar to many other test names on a laboratory test list. The odds of a lab technician performing the right test are low, because on their alphabetical test list, IGF BP 1 appears at the top (and this test is not useful at all!). This pitfall can be avoided by including the lab specific test code for IGF-1, which your local pediatric endocrinologist can help you find.

Other testing may be warranted, based on history and physical findings. For example, if a child has a history of pneumonia and frequent sinusitis, I would order a sweat chloride test to rule out cystic fibrosis.

If there is no clear explanation, and the slowed growth does not respond to your intervention, refer the patient to a specialist.

The growth chart will help guide the type of referral. If linear growth is poor and weight gain is appropriate (that is, their body mass index is normal), consider referral to a pediatric endocrinologist.

If linear growth is poor, but weight gain is more strikingly affected (that is, BMI is low for age), consider referral instead to a pediatric gastroenterologist.

If testing reveals electrolyte abnormalities, consider referral to pediatric nephrology.

If the child has congenital anomalies or a developmental delay in addition to short stature, then referral to a geneticist becomes appropriate.

Once a short stature diagnosis is established, a targeted approach to optimization of growth can be planned. Human growth hormone therapy, for example, typically is ordered by a pediatric endocrinologist for a number of diagnoses. Indications include growth hormone deficiency, Turner’s syndrome, Noonan’s syndrome, Prader-Willi syndrome, and children born small for gestational age who fail to catch up. A pediatric nephrologist also might prescribe this therapy for a child with renal failure who is not growing.

 

 

Dr. Counts is an associate professor of pediatrics and chief of the division of pediatric endocrinology at the University of Maryland, Baltimore. She works on multiple research studies with funding to the University of Maryland, Baltimore, from Eli Lilly, Pfizer, and Novo Nordisk. 

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Growth is a terrific biomarker for general health, and a slowing of growth may be a sign of underlying disease. So which children deserve an evaluation?

Short stature is defined as growth below the third percentile. In addition to these children, a child who is crossing one percentile line on the growth chart also deserves evaluation. The sole exception is an otherwise healthy child developing well who may, in the second year of life, adjust to genetics (for example, a big baby born to short parents).

By Debra R. Counts

The key is to identify the short child by monitoring the growth pattern, evaluating him to find a specific diagnosis, and then targeting the clinical intervention.

Consistent measurement of a child’s height at every health care encounter is the most important strategy to identify a child with short stature. Some children do not go for regular well-child visits once they have most of their immunizations completed and may show up for sick visits only. In many cases, only weight but not height is measured during these acute care visits. For example, in my pediatric endocrinology practice, it is not unusual to see children who are 12 years old without a height measurement for the previous 7 years because the family did not present to the primary care physician for well care.

The benefits of these routine measurements go beyond identification of short stature. Any child with poor growth needs to be evaluated by a specialist who can go through an extensive differential diagnosis.

Helpful guidelines include the 2009 "Evidence-Based Clinical Practice Guideline on Linear Growth Measurement of Children" from clinicians at Blanks Children’s Hospital in Des Moines, Iowa, and "Development of an Evidence-Based Clinical Practice Guideline on Linear Growth Measurement of Children"’ (J. Pediatr. Nursing 2011;26:312-24).

Sometimes I hear families or primary care physicians say, "Let’s just wait and see." It is advisable to see a child back in 6 months to monitor growth velocity, but watching poor linear growth year after year will not optimize the height outcome. The problem with later intervention is that the older child with short stature does not have enough "catch up" time. Therefore, additional evaluation is warranted if you diagnose short stature and you remain concerned after 6 months.

For a child who warrants this additional evaluation, a bone age x-ray is helpful (although not diagnostic of a specific condition). Other recommended studies include a complete blood count; chemistry panel; free thyroxine (free T4) with thyroid stimulating hormone (TSH); insulinlike growth factor 1 (IGF-1), C-reactive protein, urinalysis, and a celiac panel (IgG and IgA class of anti–tissue transglutaminase [anti-tTG]; antiendomysial antibodies, IgA class [EMA-IgA]; and quantitative IgA). In addition, for girls, a karyotype can rule out Turner’s syndrome.

Obtaining the correct test can sometimes be a problem. For example, IGF-1 is similar to many other test names on a laboratory test list. The odds of a lab technician performing the right test are low, because on their alphabetical test list, IGF BP 1 appears at the top (and this test is not useful at all!). This pitfall can be avoided by including the lab specific test code for IGF-1, which your local pediatric endocrinologist can help you find.

Other testing may be warranted, based on history and physical findings. For example, if a child has a history of pneumonia and frequent sinusitis, I would order a sweat chloride test to rule out cystic fibrosis.

If there is no clear explanation, and the slowed growth does not respond to your intervention, refer the patient to a specialist.

The growth chart will help guide the type of referral. If linear growth is poor and weight gain is appropriate (that is, their body mass index is normal), consider referral to a pediatric endocrinologist.

If linear growth is poor, but weight gain is more strikingly affected (that is, BMI is low for age), consider referral instead to a pediatric gastroenterologist.

If testing reveals electrolyte abnormalities, consider referral to pediatric nephrology.

If the child has congenital anomalies or a developmental delay in addition to short stature, then referral to a geneticist becomes appropriate.

Once a short stature diagnosis is established, a targeted approach to optimization of growth can be planned. Human growth hormone therapy, for example, typically is ordered by a pediatric endocrinologist for a number of diagnoses. Indications include growth hormone deficiency, Turner’s syndrome, Noonan’s syndrome, Prader-Willi syndrome, and children born small for gestational age who fail to catch up. A pediatric nephrologist also might prescribe this therapy for a child with renal failure who is not growing.

 

 

Dr. Counts is an associate professor of pediatrics and chief of the division of pediatric endocrinology at the University of Maryland, Baltimore. She works on multiple research studies with funding to the University of Maryland, Baltimore, from Eli Lilly, Pfizer, and Novo Nordisk. 

Growth is a terrific biomarker for general health, and a slowing of growth may be a sign of underlying disease. So which children deserve an evaluation?

Short stature is defined as growth below the third percentile. In addition to these children, a child who is crossing one percentile line on the growth chart also deserves evaluation. The sole exception is an otherwise healthy child developing well who may, in the second year of life, adjust to genetics (for example, a big baby born to short parents).

By Debra R. Counts

The key is to identify the short child by monitoring the growth pattern, evaluating him to find a specific diagnosis, and then targeting the clinical intervention.

Consistent measurement of a child’s height at every health care encounter is the most important strategy to identify a child with short stature. Some children do not go for regular well-child visits once they have most of their immunizations completed and may show up for sick visits only. In many cases, only weight but not height is measured during these acute care visits. For example, in my pediatric endocrinology practice, it is not unusual to see children who are 12 years old without a height measurement for the previous 7 years because the family did not present to the primary care physician for well care.

The benefits of these routine measurements go beyond identification of short stature. Any child with poor growth needs to be evaluated by a specialist who can go through an extensive differential diagnosis.

Helpful guidelines include the 2009 "Evidence-Based Clinical Practice Guideline on Linear Growth Measurement of Children" from clinicians at Blanks Children’s Hospital in Des Moines, Iowa, and "Development of an Evidence-Based Clinical Practice Guideline on Linear Growth Measurement of Children"’ (J. Pediatr. Nursing 2011;26:312-24).

Sometimes I hear families or primary care physicians say, "Let’s just wait and see." It is advisable to see a child back in 6 months to monitor growth velocity, but watching poor linear growth year after year will not optimize the height outcome. The problem with later intervention is that the older child with short stature does not have enough "catch up" time. Therefore, additional evaluation is warranted if you diagnose short stature and you remain concerned after 6 months.

For a child who warrants this additional evaluation, a bone age x-ray is helpful (although not diagnostic of a specific condition). Other recommended studies include a complete blood count; chemistry panel; free thyroxine (free T4) with thyroid stimulating hormone (TSH); insulinlike growth factor 1 (IGF-1), C-reactive protein, urinalysis, and a celiac panel (IgG and IgA class of anti–tissue transglutaminase [anti-tTG]; antiendomysial antibodies, IgA class [EMA-IgA]; and quantitative IgA). In addition, for girls, a karyotype can rule out Turner’s syndrome.

Obtaining the correct test can sometimes be a problem. For example, IGF-1 is similar to many other test names on a laboratory test list. The odds of a lab technician performing the right test are low, because on their alphabetical test list, IGF BP 1 appears at the top (and this test is not useful at all!). This pitfall can be avoided by including the lab specific test code for IGF-1, which your local pediatric endocrinologist can help you find.

Other testing may be warranted, based on history and physical findings. For example, if a child has a history of pneumonia and frequent sinusitis, I would order a sweat chloride test to rule out cystic fibrosis.

If there is no clear explanation, and the slowed growth does not respond to your intervention, refer the patient to a specialist.

The growth chart will help guide the type of referral. If linear growth is poor and weight gain is appropriate (that is, their body mass index is normal), consider referral to a pediatric endocrinologist.

If linear growth is poor, but weight gain is more strikingly affected (that is, BMI is low for age), consider referral instead to a pediatric gastroenterologist.

If testing reveals electrolyte abnormalities, consider referral to pediatric nephrology.

If the child has congenital anomalies or a developmental delay in addition to short stature, then referral to a geneticist becomes appropriate.

Once a short stature diagnosis is established, a targeted approach to optimization of growth can be planned. Human growth hormone therapy, for example, typically is ordered by a pediatric endocrinologist for a number of diagnoses. Indications include growth hormone deficiency, Turner’s syndrome, Noonan’s syndrome, Prader-Willi syndrome, and children born small for gestational age who fail to catch up. A pediatric nephrologist also might prescribe this therapy for a child with renal failure who is not growing.

 

 

Dr. Counts is an associate professor of pediatrics and chief of the division of pediatric endocrinology at the University of Maryland, Baltimore. She works on multiple research studies with funding to the University of Maryland, Baltimore, from Eli Lilly, Pfizer, and Novo Nordisk. 

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Fear Not the Switch from ICD-9 to ICD-10

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Some people adopt a “Chicken Little” mentality when faced with making big changes, says Kathy DeVault, RHIS, CCS, CCS-P, manager of professional practice resources for the American Health Information Management Association (AHIMA). The change she’s referring to is the switch from the current version of the International Statistical Classification of Diseases coding system (ICD-9-CM) to the ICD-10-CM/ICD-10-PCS, which must be effective in hospitals by Oct. 1, 2013.

Hospitalist Jeffrey Farber, MD, assistant professor of geriatrics and palliative medicine and director of the Mobile ACE Service at Mount Sinai Hospital in New York City, also is director of the Clinical Documentation Improvement Department at Mount Sinai. He already is intimately involved with his hospital’s ICD-10 implementation process.

“For hospitals, this is a very big deal,” Dr. Farber says, “because it affects not just the coding department, but quality, compliance, and public reporting. On the physician side, there will be major changes in clinical documentation. Hospitalists who also do procedures, even bedside procedures, need to understand what is required.”

Why the Change?

Surprisingly, the U.S. is the last industrialized country in the world to upgrade to the ICD-10 system. The older system, in use since 1979, does not reflect three decades of change in medicine. “ICD-10 allows for a much better capture of specific types of treated diagnoses, provided services, and performed procedures,” Dr. Farber says, “and allows a lot more room to grow for the future.”

At first glance, the sheer numbers of new codes appear daunting. For example, procedures codes will increase from the current 4,000 to approximately 87,000. Hospitalists who perform procedures must include more description in their notes, including devices used and anatomical location of device placement.

Even if you’re not doing procedures, you may not relish the prospect of going from the current 14,000 ICD-9-CM diagnoses codes to nearly 70,000 ICD-10 codes. But, Dr. Farber explains, many of the increased descriptors have to do with laterality, which previously was not captured. To note a diagnosis of stroke, you will have to write not only whether it occurred in the posterior cerebral blood vessel, but also whether it was right or left posterior cerebral.

Listen to Kathy DeVault describe forthcoming documentation changes.

Ultimately, he believes, this type of specificity will relieve a burden on hospitalists, because providing more specific documentation should reduce queries from coders.

Common-Sense Approach

The October 2013 deadline allows plenty of time for physician training, says DeVault, who has been training coders through AHIMA’s ICD-10 Academy the past two years. Breaking the process down into manageable steps is helpful, she says.

On the physician side, there will be major changes in clinical documentation. Hospitalists who also do procedures, even bedside procedures, need to understand what is required..


—Jeffrey Farber, MD, assistant professor, geriatrics and palliative medicine, director, Clinical Documentation Improvement Department, Mount Sinai Hospital, New York City

“Look at your group’s most common, acute conditions, for example, and ask, ‘What is missing in the documentation?’ Especially if you can make bridges with your health information management (HIM) department, you will find that there are many opportunities to teach each other,” she says.

Hospitalists can do several things to ready their group for ICD-10, Dr. Farber says. Take a proactive stance, he advises, and select your group’s top 25 diagnoses. Then work with coding staff to map them from ICD-9 to ICD-10. On a macro level, understand what your hospital’s timeline is for the change. DeVault says that HIM departments are eager to collaborate with physician champions.

The good news: The sky isn’t really falling, according to DeVault. And the change to ICD-10 actually offers lots of opportunities for collaborations between hospitalists and health information departments.

 

 

Gretchen Henkel is a freelance writer based in California. 

Watch Out for GEMs

Physicians often are encouraged to use general equivalence maps (GEMs) to acquaint themselves with the differences between coding sets. Relying solely on GEMs, however, is not a good idea for the long term, DeVault cautions. “GEMs are meant to serve as a transition tool but are not designed to code from,” she says. “It’s imperative that coders—and providers—actually learn the new system and that they not rely on GEMs for coding.”—GH

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Some people adopt a “Chicken Little” mentality when faced with making big changes, says Kathy DeVault, RHIS, CCS, CCS-P, manager of professional practice resources for the American Health Information Management Association (AHIMA). The change she’s referring to is the switch from the current version of the International Statistical Classification of Diseases coding system (ICD-9-CM) to the ICD-10-CM/ICD-10-PCS, which must be effective in hospitals by Oct. 1, 2013.

Hospitalist Jeffrey Farber, MD, assistant professor of geriatrics and palliative medicine and director of the Mobile ACE Service at Mount Sinai Hospital in New York City, also is director of the Clinical Documentation Improvement Department at Mount Sinai. He already is intimately involved with his hospital’s ICD-10 implementation process.

“For hospitals, this is a very big deal,” Dr. Farber says, “because it affects not just the coding department, but quality, compliance, and public reporting. On the physician side, there will be major changes in clinical documentation. Hospitalists who also do procedures, even bedside procedures, need to understand what is required.”

Why the Change?

Surprisingly, the U.S. is the last industrialized country in the world to upgrade to the ICD-10 system. The older system, in use since 1979, does not reflect three decades of change in medicine. “ICD-10 allows for a much better capture of specific types of treated diagnoses, provided services, and performed procedures,” Dr. Farber says, “and allows a lot more room to grow for the future.”

At first glance, the sheer numbers of new codes appear daunting. For example, procedures codes will increase from the current 4,000 to approximately 87,000. Hospitalists who perform procedures must include more description in their notes, including devices used and anatomical location of device placement.

Even if you’re not doing procedures, you may not relish the prospect of going from the current 14,000 ICD-9-CM diagnoses codes to nearly 70,000 ICD-10 codes. But, Dr. Farber explains, many of the increased descriptors have to do with laterality, which previously was not captured. To note a diagnosis of stroke, you will have to write not only whether it occurred in the posterior cerebral blood vessel, but also whether it was right or left posterior cerebral.

Listen to Kathy DeVault describe forthcoming documentation changes.

Ultimately, he believes, this type of specificity will relieve a burden on hospitalists, because providing more specific documentation should reduce queries from coders.

Common-Sense Approach

The October 2013 deadline allows plenty of time for physician training, says DeVault, who has been training coders through AHIMA’s ICD-10 Academy the past two years. Breaking the process down into manageable steps is helpful, she says.

On the physician side, there will be major changes in clinical documentation. Hospitalists who also do procedures, even bedside procedures, need to understand what is required..


—Jeffrey Farber, MD, assistant professor, geriatrics and palliative medicine, director, Clinical Documentation Improvement Department, Mount Sinai Hospital, New York City

“Look at your group’s most common, acute conditions, for example, and ask, ‘What is missing in the documentation?’ Especially if you can make bridges with your health information management (HIM) department, you will find that there are many opportunities to teach each other,” she says.

Hospitalists can do several things to ready their group for ICD-10, Dr. Farber says. Take a proactive stance, he advises, and select your group’s top 25 diagnoses. Then work with coding staff to map them from ICD-9 to ICD-10. On a macro level, understand what your hospital’s timeline is for the change. DeVault says that HIM departments are eager to collaborate with physician champions.

The good news: The sky isn’t really falling, according to DeVault. And the change to ICD-10 actually offers lots of opportunities for collaborations between hospitalists and health information departments.

 

 

Gretchen Henkel is a freelance writer based in California. 

Watch Out for GEMs

Physicians often are encouraged to use general equivalence maps (GEMs) to acquaint themselves with the differences between coding sets. Relying solely on GEMs, however, is not a good idea for the long term, DeVault cautions. “GEMs are meant to serve as a transition tool but are not designed to code from,” she says. “It’s imperative that coders—and providers—actually learn the new system and that they not rely on GEMs for coding.”—GH

Resources for Physicians

 

Some people adopt a “Chicken Little” mentality when faced with making big changes, says Kathy DeVault, RHIS, CCS, CCS-P, manager of professional practice resources for the American Health Information Management Association (AHIMA). The change she’s referring to is the switch from the current version of the International Statistical Classification of Diseases coding system (ICD-9-CM) to the ICD-10-CM/ICD-10-PCS, which must be effective in hospitals by Oct. 1, 2013.

Hospitalist Jeffrey Farber, MD, assistant professor of geriatrics and palliative medicine and director of the Mobile ACE Service at Mount Sinai Hospital in New York City, also is director of the Clinical Documentation Improvement Department at Mount Sinai. He already is intimately involved with his hospital’s ICD-10 implementation process.

“For hospitals, this is a very big deal,” Dr. Farber says, “because it affects not just the coding department, but quality, compliance, and public reporting. On the physician side, there will be major changes in clinical documentation. Hospitalists who also do procedures, even bedside procedures, need to understand what is required.”

Why the Change?

Surprisingly, the U.S. is the last industrialized country in the world to upgrade to the ICD-10 system. The older system, in use since 1979, does not reflect three decades of change in medicine. “ICD-10 allows for a much better capture of specific types of treated diagnoses, provided services, and performed procedures,” Dr. Farber says, “and allows a lot more room to grow for the future.”

At first glance, the sheer numbers of new codes appear daunting. For example, procedures codes will increase from the current 4,000 to approximately 87,000. Hospitalists who perform procedures must include more description in their notes, including devices used and anatomical location of device placement.

Even if you’re not doing procedures, you may not relish the prospect of going from the current 14,000 ICD-9-CM diagnoses codes to nearly 70,000 ICD-10 codes. But, Dr. Farber explains, many of the increased descriptors have to do with laterality, which previously was not captured. To note a diagnosis of stroke, you will have to write not only whether it occurred in the posterior cerebral blood vessel, but also whether it was right or left posterior cerebral.

Listen to Kathy DeVault describe forthcoming documentation changes.

Ultimately, he believes, this type of specificity will relieve a burden on hospitalists, because providing more specific documentation should reduce queries from coders.

Common-Sense Approach

The October 2013 deadline allows plenty of time for physician training, says DeVault, who has been training coders through AHIMA’s ICD-10 Academy the past two years. Breaking the process down into manageable steps is helpful, she says.

On the physician side, there will be major changes in clinical documentation. Hospitalists who also do procedures, even bedside procedures, need to understand what is required..


—Jeffrey Farber, MD, assistant professor, geriatrics and palliative medicine, director, Clinical Documentation Improvement Department, Mount Sinai Hospital, New York City

“Look at your group’s most common, acute conditions, for example, and ask, ‘What is missing in the documentation?’ Especially if you can make bridges with your health information management (HIM) department, you will find that there are many opportunities to teach each other,” she says.

Hospitalists can do several things to ready their group for ICD-10, Dr. Farber says. Take a proactive stance, he advises, and select your group’s top 25 diagnoses. Then work with coding staff to map them from ICD-9 to ICD-10. On a macro level, understand what your hospital’s timeline is for the change. DeVault says that HIM departments are eager to collaborate with physician champions.

The good news: The sky isn’t really falling, according to DeVault. And the change to ICD-10 actually offers lots of opportunities for collaborations between hospitalists and health information departments.

 

 

Gretchen Henkel is a freelance writer based in California. 

Watch Out for GEMs

Physicians often are encouraged to use general equivalence maps (GEMs) to acquaint themselves with the differences between coding sets. Relying solely on GEMs, however, is not a good idea for the long term, DeVault cautions. “GEMs are meant to serve as a transition tool but are not designed to code from,” she says. “It’s imperative that coders—and providers—actually learn the new system and that they not rely on GEMs for coding.”—GH

Resources for Physicians

 

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Vaccine candidate reduces malaria risk

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Malaria-infected red blood cell
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Research Hospital

First results from a phase 3 trial of the vaccine candidate RTS,S/AS01 indicate it provides young African children with protection against clinical and severe malaria.

The researchers also said RTS,S/AS01 has an acceptable safety and tolerability profile.

These results were announced October 19 at the Malaria Forum, hosted by the Bill & Melinda Gates Foundation in Seattle, Washington.

The findings were also published online in The New England Journal of Medicine.

“The publication of the first results in children aged 5 to 17 months marks an important milestone in the development of RTS,S/AS01,” said Irving Hoffman, PA, MPH, co-principal investigator at a study site in Lilongwe, Malawi.

The trial is still ongoing, being conducted at 11 sites in 7 countries across sub-Saharan Africa. But the researchers have performed an initial analysis of results in the first 6000 children enrolled, who were aged 5 months to 17 months at the time of enrollment.

The children received 3 doses of RTS,S/AS01 and were followed for a 12-month period. RTS,S/AS01 reduced the risk of clinical malaria in these children by 56% and the risk of severe malaria by 47%.

“These results confirm findings from previous phase 2 studies and support ongoing efforts to advance the development of this malaria vaccine candidate,” Hoffman said.

Efficacy and safety results in 6- to 12-week-old infants are expected by the end of 2012, according to the investigators. However, they have performed an analysis of severe malaria episodes reported thus far in all 15,460 children enrolled in the trial, ranging from 6 weeks to 17 months of age.

The analysis showed that RTS,S/AS01 had 35% efficacy over a follow-up period ranging between 0 months and 22 months (average, 11.5 months). Further information about the longer-term effects of RTS,S/AS01—30 months after the third dose—should be available by the end of 2014, the researchers said.

The overall incidence of serious adverse events in this trial was comparable between RTS,S/AS01 recipients (18%) and those receiving a control vaccine (22%)

There were differences in the rates of certain serious adverse events between the vaccine groups. Seizures and meningitis were both more frequent in the RTS,S/AS01 group. Seizures were linked to fever, and meningitis was considered unlikely to be vaccine-related.

RTS,S/AS01 is being developed by GlaxoSmithKline and the PATH Malaria Vaccine Initiative, together with African research centers. The partners are all represented on the Clinical Trials Partnership Committee, which is responsible for the conduct of the trial.

Major funding for clinical development comes from a grant by the Bill & Melinda Gates Foundation.

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Malaria-infected red blood cell
Credit: St Jude Children’s
Research Hospital

First results from a phase 3 trial of the vaccine candidate RTS,S/AS01 indicate it provides young African children with protection against clinical and severe malaria.

The researchers also said RTS,S/AS01 has an acceptable safety and tolerability profile.

These results were announced October 19 at the Malaria Forum, hosted by the Bill & Melinda Gates Foundation in Seattle, Washington.

The findings were also published online in The New England Journal of Medicine.

“The publication of the first results in children aged 5 to 17 months marks an important milestone in the development of RTS,S/AS01,” said Irving Hoffman, PA, MPH, co-principal investigator at a study site in Lilongwe, Malawi.

The trial is still ongoing, being conducted at 11 sites in 7 countries across sub-Saharan Africa. But the researchers have performed an initial analysis of results in the first 6000 children enrolled, who were aged 5 months to 17 months at the time of enrollment.

The children received 3 doses of RTS,S/AS01 and were followed for a 12-month period. RTS,S/AS01 reduced the risk of clinical malaria in these children by 56% and the risk of severe malaria by 47%.

“These results confirm findings from previous phase 2 studies and support ongoing efforts to advance the development of this malaria vaccine candidate,” Hoffman said.

Efficacy and safety results in 6- to 12-week-old infants are expected by the end of 2012, according to the investigators. However, they have performed an analysis of severe malaria episodes reported thus far in all 15,460 children enrolled in the trial, ranging from 6 weeks to 17 months of age.

The analysis showed that RTS,S/AS01 had 35% efficacy over a follow-up period ranging between 0 months and 22 months (average, 11.5 months). Further information about the longer-term effects of RTS,S/AS01—30 months after the third dose—should be available by the end of 2014, the researchers said.

The overall incidence of serious adverse events in this trial was comparable between RTS,S/AS01 recipients (18%) and those receiving a control vaccine (22%)

There were differences in the rates of certain serious adverse events between the vaccine groups. Seizures and meningitis were both more frequent in the RTS,S/AS01 group. Seizures were linked to fever, and meningitis was considered unlikely to be vaccine-related.

RTS,S/AS01 is being developed by GlaxoSmithKline and the PATH Malaria Vaccine Initiative, together with African research centers. The partners are all represented on the Clinical Trials Partnership Committee, which is responsible for the conduct of the trial.

Major funding for clinical development comes from a grant by the Bill & Melinda Gates Foundation.

Malaria-infected red blood cell
Credit: St Jude Children’s
Research Hospital

First results from a phase 3 trial of the vaccine candidate RTS,S/AS01 indicate it provides young African children with protection against clinical and severe malaria.

The researchers also said RTS,S/AS01 has an acceptable safety and tolerability profile.

These results were announced October 19 at the Malaria Forum, hosted by the Bill & Melinda Gates Foundation in Seattle, Washington.

The findings were also published online in The New England Journal of Medicine.

“The publication of the first results in children aged 5 to 17 months marks an important milestone in the development of RTS,S/AS01,” said Irving Hoffman, PA, MPH, co-principal investigator at a study site in Lilongwe, Malawi.

The trial is still ongoing, being conducted at 11 sites in 7 countries across sub-Saharan Africa. But the researchers have performed an initial analysis of results in the first 6000 children enrolled, who were aged 5 months to 17 months at the time of enrollment.

The children received 3 doses of RTS,S/AS01 and were followed for a 12-month period. RTS,S/AS01 reduced the risk of clinical malaria in these children by 56% and the risk of severe malaria by 47%.

“These results confirm findings from previous phase 2 studies and support ongoing efforts to advance the development of this malaria vaccine candidate,” Hoffman said.

Efficacy and safety results in 6- to 12-week-old infants are expected by the end of 2012, according to the investigators. However, they have performed an analysis of severe malaria episodes reported thus far in all 15,460 children enrolled in the trial, ranging from 6 weeks to 17 months of age.

The analysis showed that RTS,S/AS01 had 35% efficacy over a follow-up period ranging between 0 months and 22 months (average, 11.5 months). Further information about the longer-term effects of RTS,S/AS01—30 months after the third dose—should be available by the end of 2014, the researchers said.

The overall incidence of serious adverse events in this trial was comparable between RTS,S/AS01 recipients (18%) and those receiving a control vaccine (22%)

There were differences in the rates of certain serious adverse events between the vaccine groups. Seizures and meningitis were both more frequent in the RTS,S/AS01 group. Seizures were linked to fever, and meningitis was considered unlikely to be vaccine-related.

RTS,S/AS01 is being developed by GlaxoSmithKline and the PATH Malaria Vaccine Initiative, together with African research centers. The partners are all represented on the Clinical Trials Partnership Committee, which is responsible for the conduct of the trial.

Major funding for clinical development comes from a grant by the Bill & Melinda Gates Foundation.

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Seal of Approval

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A report in this month's Journal of Hospital Medicine suggests that hospitals accredited by the Joint Commission outperform those that aren't when it comes to treatment of acute myocardial infarction (AMI), heart failure (HF), and pneumonia.

The study, "Hospital Performance Trends on National Quality Measures and the Association with Joint Commission Accreditation," also found that over a five-year reporting period, accredited institutions improved more than their non-accredited counterparts. HM pioneer Robert Wachter, MD, MHM, chief of the Division of Hospital Medicine at the University of California at San Francisco, was a coauthor of the study.

Joint Commission staffers and fellow coauthors Jerod Loeb, PhD, executive vice president of the Division of Healthcare Quality Evaluation at the Joint Commission, and Stephen Schmaltz, MPH, PhD, associate director of the Department of Health Services Research, say that researchers were not able to compare hospitals based on accreditation and quality control until the commission and the Centers for Medicare & Medicaid Services (CMS) adopted identical measures in 2004.

"We had a strong suspicion that accredited facilities would perform better, which was demonstrable in a statistically significant manner," Dr. Loeb says. "Of course, we worried that one of the questions that reviewers or others who read this might ask is, 'Sure, this is what we might expect from the Joint Commission to say that.' This is why the data is publically available, from us and CMS. Anyone can do the same type of analyses we’ve done and clearly come up with the very same conclusion.”

The next step of the research, Drs. Loeb and Schmaltz say, is to try to delineate whether the "gold seal" of accreditation is what "actually promotes improved performance or is a marker for other characteristics associated with such performance."

"There is something to this broad rubric associated with accreditation that is actually making a difference in the context of measures that matter...to clinical outcomes," Dr. Loeb adds. "This isn't the end of the game for us by any stretch of the imagination. It's clear that more research is needed."

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A report in this month's Journal of Hospital Medicine suggests that hospitals accredited by the Joint Commission outperform those that aren't when it comes to treatment of acute myocardial infarction (AMI), heart failure (HF), and pneumonia.

The study, "Hospital Performance Trends on National Quality Measures and the Association with Joint Commission Accreditation," also found that over a five-year reporting period, accredited institutions improved more than their non-accredited counterparts. HM pioneer Robert Wachter, MD, MHM, chief of the Division of Hospital Medicine at the University of California at San Francisco, was a coauthor of the study.

Joint Commission staffers and fellow coauthors Jerod Loeb, PhD, executive vice president of the Division of Healthcare Quality Evaluation at the Joint Commission, and Stephen Schmaltz, MPH, PhD, associate director of the Department of Health Services Research, say that researchers were not able to compare hospitals based on accreditation and quality control until the commission and the Centers for Medicare & Medicaid Services (CMS) adopted identical measures in 2004.

"We had a strong suspicion that accredited facilities would perform better, which was demonstrable in a statistically significant manner," Dr. Loeb says. "Of course, we worried that one of the questions that reviewers or others who read this might ask is, 'Sure, this is what we might expect from the Joint Commission to say that.' This is why the data is publically available, from us and CMS. Anyone can do the same type of analyses we’ve done and clearly come up with the very same conclusion.”

The next step of the research, Drs. Loeb and Schmaltz say, is to try to delineate whether the "gold seal" of accreditation is what "actually promotes improved performance or is a marker for other characteristics associated with such performance."

"There is something to this broad rubric associated with accreditation that is actually making a difference in the context of measures that matter...to clinical outcomes," Dr. Loeb adds. "This isn't the end of the game for us by any stretch of the imagination. It's clear that more research is needed."

A report in this month's Journal of Hospital Medicine suggests that hospitals accredited by the Joint Commission outperform those that aren't when it comes to treatment of acute myocardial infarction (AMI), heart failure (HF), and pneumonia.

The study, "Hospital Performance Trends on National Quality Measures and the Association with Joint Commission Accreditation," also found that over a five-year reporting period, accredited institutions improved more than their non-accredited counterparts. HM pioneer Robert Wachter, MD, MHM, chief of the Division of Hospital Medicine at the University of California at San Francisco, was a coauthor of the study.

Joint Commission staffers and fellow coauthors Jerod Loeb, PhD, executive vice president of the Division of Healthcare Quality Evaluation at the Joint Commission, and Stephen Schmaltz, MPH, PhD, associate director of the Department of Health Services Research, say that researchers were not able to compare hospitals based on accreditation and quality control until the commission and the Centers for Medicare & Medicaid Services (CMS) adopted identical measures in 2004.

"We had a strong suspicion that accredited facilities would perform better, which was demonstrable in a statistically significant manner," Dr. Loeb says. "Of course, we worried that one of the questions that reviewers or others who read this might ask is, 'Sure, this is what we might expect from the Joint Commission to say that.' This is why the data is publically available, from us and CMS. Anyone can do the same type of analyses we’ve done and clearly come up with the very same conclusion.”

The next step of the research, Drs. Loeb and Schmaltz say, is to try to delineate whether the "gold seal" of accreditation is what "actually promotes improved performance or is a marker for other characteristics associated with such performance."

"There is something to this broad rubric associated with accreditation that is actually making a difference in the context of measures that matter...to clinical outcomes," Dr. Loeb adds. "This isn't the end of the game for us by any stretch of the imagination. It's clear that more research is needed."

Issue
The Hospitalist - 2011(10)
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QI-Focused Microsite Aims to Educate Hospitalists

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Gregory Maynard, MD, MSc, SFHM, has high hopes for SHM's new Center for Hospital Innovation and Improvement. Dr. Maynard, recently appointed senior vice president of "The Center," believes The Center's tools, resources, and initiatives in QI and patient safety will advance hospitalists' understanding of the implications of healthcare reform and how recent legislative changes will directly affect their jobs.

Through its Web portal, The Center aims to bring together a wide variety of resources, not only such SHM-branded initiatives as VTE Prevention and Project BOOST (Better Outcomes for Older Adults through Safe Transitions), but also relevant tools from other sources.

"The Center has grown because there's a bigger demand all the time for the skills, knowledge, and leadership required for quality and patient safety," Dr. Maynard says. "We recognize that frontline hospitalists are very busy with day-to-day clinical care. On the other hand, quality and safety efforts increasingly will be tied to hospital reimbursement."

Hospital administrators are paying attention to those trends, and hospitalists are well situated to lead their response, he adds.

New quality developments at the center include:

 

     

     

  • eQUIPS, SHM’s online toolkit for hospital QI, with a data registry and tools for comparing performance with other hospitals;
  •  

     

  • Hospitalists and In-Hospital Resuscitation, a multidisciplinary project for standardizing resuscitation practice;
  •  

     

  • A new initiative for atrial fibrillation and transitions of care; and
  •  

     

  • In-hospital best practices in diabetes care for hospitalist extenders.
  •  

     

 

Dr. Maynard is director of hospital medicine and chair of the Patient Safety Committee at the University of California at San Diego (UCSD). He expects to spend one week per month at SHM's Philadelphia office while retaining his leadership position at UCSD.

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Gregory Maynard, MD, MSc, SFHM, has high hopes for SHM's new Center for Hospital Innovation and Improvement. Dr. Maynard, recently appointed senior vice president of "The Center," believes The Center's tools, resources, and initiatives in QI and patient safety will advance hospitalists' understanding of the implications of healthcare reform and how recent legislative changes will directly affect their jobs.

Through its Web portal, The Center aims to bring together a wide variety of resources, not only such SHM-branded initiatives as VTE Prevention and Project BOOST (Better Outcomes for Older Adults through Safe Transitions), but also relevant tools from other sources.

"The Center has grown because there's a bigger demand all the time for the skills, knowledge, and leadership required for quality and patient safety," Dr. Maynard says. "We recognize that frontline hospitalists are very busy with day-to-day clinical care. On the other hand, quality and safety efforts increasingly will be tied to hospital reimbursement."

Hospital administrators are paying attention to those trends, and hospitalists are well situated to lead their response, he adds.

New quality developments at the center include:

 

     

     

  • eQUIPS, SHM’s online toolkit for hospital QI, with a data registry and tools for comparing performance with other hospitals;
  •  

     

  • Hospitalists and In-Hospital Resuscitation, a multidisciplinary project for standardizing resuscitation practice;
  •  

     

  • A new initiative for atrial fibrillation and transitions of care; and
  •  

     

  • In-hospital best practices in diabetes care for hospitalist extenders.
  •  

     

 

Dr. Maynard is director of hospital medicine and chair of the Patient Safety Committee at the University of California at San Diego (UCSD). He expects to spend one week per month at SHM's Philadelphia office while retaining his leadership position at UCSD.

Gregory Maynard, MD, MSc, SFHM, has high hopes for SHM's new Center for Hospital Innovation and Improvement. Dr. Maynard, recently appointed senior vice president of "The Center," believes The Center's tools, resources, and initiatives in QI and patient safety will advance hospitalists' understanding of the implications of healthcare reform and how recent legislative changes will directly affect their jobs.

Through its Web portal, The Center aims to bring together a wide variety of resources, not only such SHM-branded initiatives as VTE Prevention and Project BOOST (Better Outcomes for Older Adults through Safe Transitions), but also relevant tools from other sources.

"The Center has grown because there's a bigger demand all the time for the skills, knowledge, and leadership required for quality and patient safety," Dr. Maynard says. "We recognize that frontline hospitalists are very busy with day-to-day clinical care. On the other hand, quality and safety efforts increasingly will be tied to hospital reimbursement."

Hospital administrators are paying attention to those trends, and hospitalists are well situated to lead their response, he adds.

New quality developments at the center include:

 

     

     

  • eQUIPS, SHM’s online toolkit for hospital QI, with a data registry and tools for comparing performance with other hospitals;
  •  

     

  • Hospitalists and In-Hospital Resuscitation, a multidisciplinary project for standardizing resuscitation practice;
  •  

     

  • A new initiative for atrial fibrillation and transitions of care; and
  •  

     

  • In-hospital best practices in diabetes care for hospitalist extenders.
  •  

     

 

Dr. Maynard is director of hospital medicine and chair of the Patient Safety Committee at the University of California at San Diego (UCSD). He expects to spend one week per month at SHM's Philadelphia office while retaining his leadership position at UCSD.

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Frequent Hot Flashes? Check Lipid Levels

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NATIONAL HARBOR, Md.  – Frequent hot flashes in menopausal women were significantly associated with higher levels of low-density lipoproteins, high-density lipoproteins, and triglycerides during a 7-year follow-up study of 3,201 women enrolled in an ongoing longitudinal study.

Women who reported 1-5 days of hot flashes or 6 or more days of hot flashes during the past 2 weeks were significantly more likely to have elevated levels of LDL cholesterol.

Previous investigations using the Study of Women’s Health Across the Nation (SWAN) database have shown that women with more hot flashes have an elevated risk for subclinical cardiovascular disease, said Rebecca Thurston, Ph.D., of the University of Pittsburgh. But "there is a lot we don’t know about this association, including what could possibly explain this," she said at the annual meeting of the North American Menopause Society.

Dr. Thurston and colleagues examined hot flashes as they related to lipid profiles in women enrolled in SWAN. The subjects’ median age was 46 years, 48% were white, 46% were in early or perimenopause, and 26% reported hot flashes within the past two weeks.

Hot flashes were analyzed in relation to six lipid profiles, after controlling for age, race, menopausal status/cycle day, alcohol use, physical activity, smoking, anxiety, body mass index, cardiovascular disease status and medications, lipid lowering medications, and estradiol.

Compared to women who reported no hot flashes, women who reported 1-5 days of hot flashes or 6 or more days of hot flashes during the past 2 weeks were significantly more likely to have elevated levels of LDL cholesterol, triglycerides, apolipoprotein B, and apolipoprotein A1. For example, LDL levels among women with 6 or more days of hot flashes peaked at approximately 125 mg/dL during a 2-week period, compared with a peak of approximately 120 mg/dL among women with 1-5 days of hot flashes and a peak of approximately 118 mg/dL among women with no reported days of hot flashes.

Levels of HDL cholesterol were significantly higher in women who reported 6 or more days of hot flashes during the past 2 weeks, compared with those who reported no hot flashes, but HDL levels were not significantly different between women who reported 1-5 days of hot flashes and those who reported no hot flashes.

By contrast, levels of lipoprotein(a) were not significantly different among women who reported no hot flashes, women who reported 1 to 5 days of hot flashes, and women who reported 6 or more days of hot flashes.

The positive relationships between hot flashes and lipoprotein(a), and between hot flashes and HDL in some women, were surprising, Dr. Thurston said. "The cardioprotective nature of HDL may depend on particle size," she noted. HDL particles become smaller as women transition through menopause, she added, which might explain the differences.

Additional studies are needed to address the findings on HDL and lipoprotein(a) and to explore how vasomotor symptoms may provide additional information about women’s vascular health, Dr. Thurston said. Future studies should be designed with improved measures of vasomotor symptoms, she added.

The study was supported by a grant from the National Institutes of Health. Dr. Thurston had no financial conflicts to disclose.

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NATIONAL HARBOR, Md.  – Frequent hot flashes in menopausal women were significantly associated with higher levels of low-density lipoproteins, high-density lipoproteins, and triglycerides during a 7-year follow-up study of 3,201 women enrolled in an ongoing longitudinal study.

Women who reported 1-5 days of hot flashes or 6 or more days of hot flashes during the past 2 weeks were significantly more likely to have elevated levels of LDL cholesterol.

Previous investigations using the Study of Women’s Health Across the Nation (SWAN) database have shown that women with more hot flashes have an elevated risk for subclinical cardiovascular disease, said Rebecca Thurston, Ph.D., of the University of Pittsburgh. But "there is a lot we don’t know about this association, including what could possibly explain this," she said at the annual meeting of the North American Menopause Society.

Dr. Thurston and colleagues examined hot flashes as they related to lipid profiles in women enrolled in SWAN. The subjects’ median age was 46 years, 48% were white, 46% were in early or perimenopause, and 26% reported hot flashes within the past two weeks.

Hot flashes were analyzed in relation to six lipid profiles, after controlling for age, race, menopausal status/cycle day, alcohol use, physical activity, smoking, anxiety, body mass index, cardiovascular disease status and medications, lipid lowering medications, and estradiol.

Compared to women who reported no hot flashes, women who reported 1-5 days of hot flashes or 6 or more days of hot flashes during the past 2 weeks were significantly more likely to have elevated levels of LDL cholesterol, triglycerides, apolipoprotein B, and apolipoprotein A1. For example, LDL levels among women with 6 or more days of hot flashes peaked at approximately 125 mg/dL during a 2-week period, compared with a peak of approximately 120 mg/dL among women with 1-5 days of hot flashes and a peak of approximately 118 mg/dL among women with no reported days of hot flashes.

Levels of HDL cholesterol were significantly higher in women who reported 6 or more days of hot flashes during the past 2 weeks, compared with those who reported no hot flashes, but HDL levels were not significantly different between women who reported 1-5 days of hot flashes and those who reported no hot flashes.

By contrast, levels of lipoprotein(a) were not significantly different among women who reported no hot flashes, women who reported 1 to 5 days of hot flashes, and women who reported 6 or more days of hot flashes.

The positive relationships between hot flashes and lipoprotein(a), and between hot flashes and HDL in some women, were surprising, Dr. Thurston said. "The cardioprotective nature of HDL may depend on particle size," she noted. HDL particles become smaller as women transition through menopause, she added, which might explain the differences.

Additional studies are needed to address the findings on HDL and lipoprotein(a) and to explore how vasomotor symptoms may provide additional information about women’s vascular health, Dr. Thurston said. Future studies should be designed with improved measures of vasomotor symptoms, she added.

The study was supported by a grant from the National Institutes of Health. Dr. Thurston had no financial conflicts to disclose.

NATIONAL HARBOR, Md.  – Frequent hot flashes in menopausal women were significantly associated with higher levels of low-density lipoproteins, high-density lipoproteins, and triglycerides during a 7-year follow-up study of 3,201 women enrolled in an ongoing longitudinal study.

Women who reported 1-5 days of hot flashes or 6 or more days of hot flashes during the past 2 weeks were significantly more likely to have elevated levels of LDL cholesterol.

Previous investigations using the Study of Women’s Health Across the Nation (SWAN) database have shown that women with more hot flashes have an elevated risk for subclinical cardiovascular disease, said Rebecca Thurston, Ph.D., of the University of Pittsburgh. But "there is a lot we don’t know about this association, including what could possibly explain this," she said at the annual meeting of the North American Menopause Society.

Dr. Thurston and colleagues examined hot flashes as they related to lipid profiles in women enrolled in SWAN. The subjects’ median age was 46 years, 48% were white, 46% were in early or perimenopause, and 26% reported hot flashes within the past two weeks.

Hot flashes were analyzed in relation to six lipid profiles, after controlling for age, race, menopausal status/cycle day, alcohol use, physical activity, smoking, anxiety, body mass index, cardiovascular disease status and medications, lipid lowering medications, and estradiol.

Compared to women who reported no hot flashes, women who reported 1-5 days of hot flashes or 6 or more days of hot flashes during the past 2 weeks were significantly more likely to have elevated levels of LDL cholesterol, triglycerides, apolipoprotein B, and apolipoprotein A1. For example, LDL levels among women with 6 or more days of hot flashes peaked at approximately 125 mg/dL during a 2-week period, compared with a peak of approximately 120 mg/dL among women with 1-5 days of hot flashes and a peak of approximately 118 mg/dL among women with no reported days of hot flashes.

Levels of HDL cholesterol were significantly higher in women who reported 6 or more days of hot flashes during the past 2 weeks, compared with those who reported no hot flashes, but HDL levels were not significantly different between women who reported 1-5 days of hot flashes and those who reported no hot flashes.

By contrast, levels of lipoprotein(a) were not significantly different among women who reported no hot flashes, women who reported 1 to 5 days of hot flashes, and women who reported 6 or more days of hot flashes.

The positive relationships between hot flashes and lipoprotein(a), and between hot flashes and HDL in some women, were surprising, Dr. Thurston said. "The cardioprotective nature of HDL may depend on particle size," she noted. HDL particles become smaller as women transition through menopause, she added, which might explain the differences.

Additional studies are needed to address the findings on HDL and lipoprotein(a) and to explore how vasomotor symptoms may provide additional information about women’s vascular health, Dr. Thurston said. Future studies should be designed with improved measures of vasomotor symptoms, she added.

The study was supported by a grant from the National Institutes of Health. Dr. Thurston had no financial conflicts to disclose.

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FROM THE ANNUAL MEETING OF THE NORTH AMERICAN MENOPAUSE SOCIETY

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Major Finding: LDL levels among women with 6 or more days of hot flashes peaked at approximately 125 mg/dL during a 2-week period, compared with a peak of approximately 120 mg/dL among women with 1-5 days of hot flashes and a peak of approximately 118 mg/dL among women with no reported days of hot flashes.

Data Source: Data from 3,201 women enrolled in the Study of Women’s Health Across the Nation (SWAN).

Disclosures: The study was supported by a grant from the National Institutes of Health. Dr. Thurston had no financial conflicts to disclose.