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VIDEO: Embolectomy’s success in stroke mandates expanded access
NASHVILLE, TENN. – Newly reported results from three trials showing “profound” benefit from endovascular embolectomy in selected patients with acute ischemic stroke “will have a major impact on how we treat stroke patients,” Dr. Lee H. Schwamm said during an interview at the International Stroke Conference.
“Many centers already provide this treatment, but this is the first time we have data on which patients to select” for catheter-based embolectomy, said Dr. Schwamm, professor of neurology at Harvard Medical School and director of acute stroke services at Massachusetts General Hospital in Boston. “Because we already have the capability in many centers, the first focus will be to extend the number of centers that can do this,” Dr. Schwamm noted.
An important part of that will be “changing the public health system to route patients to appropriate facilities” that can perform embolectomy, he said at the conference, sponsored by the American Heart Association.
Dr. Schwamm also noted that intravenous, thrombolytic treatment with tissue plasminogen activator (TPA) remains unchanged as the key first treatment for all patients with acute ischemic stroke. Following that, selected patients who do not fully respond to TPA should proceed to embolectomy. However, the new findings “do not suggest that you should avoid TPA and go directly to the catheter,” Dr. Schwamm cautioned.
The video associated with this article is no longer available on this site. Please view all of our videos on the MDedge YouTube channel
On Twitter @mitchelzoler
NASHVILLE, TENN. – Newly reported results from three trials showing “profound” benefit from endovascular embolectomy in selected patients with acute ischemic stroke “will have a major impact on how we treat stroke patients,” Dr. Lee H. Schwamm said during an interview at the International Stroke Conference.
“Many centers already provide this treatment, but this is the first time we have data on which patients to select” for catheter-based embolectomy, said Dr. Schwamm, professor of neurology at Harvard Medical School and director of acute stroke services at Massachusetts General Hospital in Boston. “Because we already have the capability in many centers, the first focus will be to extend the number of centers that can do this,” Dr. Schwamm noted.
An important part of that will be “changing the public health system to route patients to appropriate facilities” that can perform embolectomy, he said at the conference, sponsored by the American Heart Association.
Dr. Schwamm also noted that intravenous, thrombolytic treatment with tissue plasminogen activator (TPA) remains unchanged as the key first treatment for all patients with acute ischemic stroke. Following that, selected patients who do not fully respond to TPA should proceed to embolectomy. However, the new findings “do not suggest that you should avoid TPA and go directly to the catheter,” Dr. Schwamm cautioned.
The video associated with this article is no longer available on this site. Please view all of our videos on the MDedge YouTube channel
On Twitter @mitchelzoler
NASHVILLE, TENN. – Newly reported results from three trials showing “profound” benefit from endovascular embolectomy in selected patients with acute ischemic stroke “will have a major impact on how we treat stroke patients,” Dr. Lee H. Schwamm said during an interview at the International Stroke Conference.
“Many centers already provide this treatment, but this is the first time we have data on which patients to select” for catheter-based embolectomy, said Dr. Schwamm, professor of neurology at Harvard Medical School and director of acute stroke services at Massachusetts General Hospital in Boston. “Because we already have the capability in many centers, the first focus will be to extend the number of centers that can do this,” Dr. Schwamm noted.
An important part of that will be “changing the public health system to route patients to appropriate facilities” that can perform embolectomy, he said at the conference, sponsored by the American Heart Association.
Dr. Schwamm also noted that intravenous, thrombolytic treatment with tissue plasminogen activator (TPA) remains unchanged as the key first treatment for all patients with acute ischemic stroke. Following that, selected patients who do not fully respond to TPA should proceed to embolectomy. However, the new findings “do not suggest that you should avoid TPA and go directly to the catheter,” Dr. Schwamm cautioned.
The video associated with this article is no longer available on this site. Please view all of our videos on the MDedge YouTube channel
On Twitter @mitchelzoler
AT THE INTERNATIONAL STROKE CONFERENCE
Concerns raised by ‘Death With Dignity’ laws
Recently, bills aimed at allowing for physician-assisted suicide – also referred to as “Death With Dignity” laws – have been introduced in New Jersey, the District of Columbia, Maryland, Colorado, California, and Hawaii. Debates over the issue of end-of-life care are contentious and distressing, often accompanied by the tearful testimony of those who have cared for a family member throughout a long terminal illness. It’s hard to listen to these stories and not be moved personally, and to draw upon one’s own life experience with bereavement after a loved one’s suicide or disease.
For psychiatrists, the challenge is to think about assisted suicide not in terms of what we would want for ourselves, but what is best for our patients and the medical profession. Proponents argue that respect for patient autonomy should take priority, even if by respecting autonomy the end result is death. Opponents believe that by granting a request to die to a few people, many more vulnerable people may be abused or harmed inadvertently.
In my opinion, after extensive review of the bills and the effects of existing laws in Oregon and Washington, there are too many problems with assisted-suicide laws to safeguard or regulate this practice effectively.
The chief issue is that there is no mandate for any mental health evaluation for any qualified patient who requests assisted suicide. The primary physician and consulting physicians who certify competence may refer to a psychiatrist or psychologist, but this is only if there is a suspicion of incapacity. In Oregon, where this has been legal for 18 years, less than 5% of patients are referred for a competency assessment by a mental health professional although as many as 25% of terminally ill individuals may be suffering from clinical depression. In Oregon, individuals with HIV are 18 times more likely to die of assisted suicide than natural illness, which is particularly concerning given that HIV is known to affect the brain, and is associated with an increased risk of clinical depression and mania. The law allows a qualified patient to bar physicians from contacting or notifying family, which would make a psychiatrist’s competency assessment difficult if not impossible when the patient is suffering from a condition like dementia and can’t give a history himself.
The assisted-suicide process contains no mechanism to challenge the adequacy of the nonpsychiatrist’s assessment of capacity and noncoercion. There is no mechanism for judicial oversight, no mechanism to allow an interested party to raise the question of incompetence, and no existing standard of care for the assessment of capacity in this situation. Some bills protect the identity of the physicians and the patient, or bar medical records from subpoena or discovery, which would make any investigation for civil or criminal purposes difficult. In Oregon, 18 physicians were referred for board investigation, but none were sanctioned because the law required no more than “good faith” compliance with procedures – essentially only a requirement that the proper forms be filled out and filed promptly. This level of review is clearly inadequate when the process involves the death of an individual.
Some evidence suggests that having a physician-assisted law on the books may affect suicide rates in the general population. In Oregon, the suicide rate has risen out of proportion to the rest of the country, even excluding assisted-suicide deaths. (All laws require that assisted deaths be reported as a death from natural illness rather than suicide.) No formal study has been made of this issue, but there should be some provision to review and suspend the practice if this turns out to be the case.
All existing assisted-suicide laws recommend but do not require that a death be attended. Thus, despite the intent of the law, there is no way to ensure that the suicide is actually voluntary once the lethal medication is in hand. The law allows a physician to dispense medications to facilitate the ingestion of pentobarbital. This is necessary, because some patients have been unable to ingest the volume of liquid necessary to take the whole dose and have regurgitated the medication. Allowing premedication with an antiemetic is sometimes necessary. In theory, this aspect of the law could allow a health care practitioner to inject the antiemetic – an active involvement that would cross the line into euthanasia.
With regard to institutionalized patients, psychiatrists would be in a particularly challenging position. Presently, all patients admitted to hospitals are offered an opportunity to sign medical advance directives. At our forensic hospital in Maryland, admitting physicians assess the patient’s capacity to sign these directives. In theory, an insanity acquittee or long-term patient with a serious medical illness could request assisted suicide if competent. By law, the primary physician – a ward psychiatrist – would ultimately be required to write the lethal prescription or refer to another physician who would. If the patient were incompetent to request assisted suicide, the ward psychiatrist would be required to treat the mental illness knowing that it could eventually lead to the patient’s death. This situation is analogous to the dilemma of the correctional psychiatrist who treats an incompetent death row inmate.
There are many other problems with assisted-suicide legislation. At the very least, states should require a formal certification process to ensure that physicians who provide lethal medication have adequate training and experience to administer and interpret screening tests for psychiatric disorders, to do capacity assessments, and to make prognostic decisions relevant to their board certification and training. In all existing assisted-suicide bills and laws, the only requirement for a physician to provide lethal medication is that he or she must have the “qualifications and experience” to make a diagnosis and prognosis. There is no specific requirement that the attending or consulting physician actually be board certified to treat the illness in question. Thus, in theory, an attending or consulting physician could certify terminal illness without proven competence to do so.
Also, no clear safeguard exists to detect, investigate, and prosecute a hypothetical malicious or unscrupulous physician. In Oregon, three physicians write 20% of lethal prescriptions. It only takes one physician to do a lot of harm.
The American Medical Association has had a position statement on this topic for more than 20 years. The AMA takes the position that physician-assisted suicide is categorically unethical and bars doctors from participation. This, from the standpoint of a state health department, is probably the key issue: Should a legislature have the authority to allow physician behavior that a licensing board and professional organizations already have held to be unethical and not the practice of medicine? One of the core characteristics of a profession is the ability to monitor, police, and ensure the integrity of its members. Legislatures are unwise to undermine this.
Dr. Hanson is a forensic psychiatrist and co-author of “Shrink Rap: Three Psychiatrists Explain Their Work” (Baltimore: The Johns Hopkins University Press, 2011). The opinions expressed are those of the author only, and do not represent those of any of Dr. Hanson’s employers or consultees, including the Maryland Department of Health and Mental Hygiene or the Maryland Division of Correction.
Recently, bills aimed at allowing for physician-assisted suicide – also referred to as “Death With Dignity” laws – have been introduced in New Jersey, the District of Columbia, Maryland, Colorado, California, and Hawaii. Debates over the issue of end-of-life care are contentious and distressing, often accompanied by the tearful testimony of those who have cared for a family member throughout a long terminal illness. It’s hard to listen to these stories and not be moved personally, and to draw upon one’s own life experience with bereavement after a loved one’s suicide or disease.
For psychiatrists, the challenge is to think about assisted suicide not in terms of what we would want for ourselves, but what is best for our patients and the medical profession. Proponents argue that respect for patient autonomy should take priority, even if by respecting autonomy the end result is death. Opponents believe that by granting a request to die to a few people, many more vulnerable people may be abused or harmed inadvertently.
In my opinion, after extensive review of the bills and the effects of existing laws in Oregon and Washington, there are too many problems with assisted-suicide laws to safeguard or regulate this practice effectively.
The chief issue is that there is no mandate for any mental health evaluation for any qualified patient who requests assisted suicide. The primary physician and consulting physicians who certify competence may refer to a psychiatrist or psychologist, but this is only if there is a suspicion of incapacity. In Oregon, where this has been legal for 18 years, less than 5% of patients are referred for a competency assessment by a mental health professional although as many as 25% of terminally ill individuals may be suffering from clinical depression. In Oregon, individuals with HIV are 18 times more likely to die of assisted suicide than natural illness, which is particularly concerning given that HIV is known to affect the brain, and is associated with an increased risk of clinical depression and mania. The law allows a qualified patient to bar physicians from contacting or notifying family, which would make a psychiatrist’s competency assessment difficult if not impossible when the patient is suffering from a condition like dementia and can’t give a history himself.
The assisted-suicide process contains no mechanism to challenge the adequacy of the nonpsychiatrist’s assessment of capacity and noncoercion. There is no mechanism for judicial oversight, no mechanism to allow an interested party to raise the question of incompetence, and no existing standard of care for the assessment of capacity in this situation. Some bills protect the identity of the physicians and the patient, or bar medical records from subpoena or discovery, which would make any investigation for civil or criminal purposes difficult. In Oregon, 18 physicians were referred for board investigation, but none were sanctioned because the law required no more than “good faith” compliance with procedures – essentially only a requirement that the proper forms be filled out and filed promptly. This level of review is clearly inadequate when the process involves the death of an individual.
Some evidence suggests that having a physician-assisted law on the books may affect suicide rates in the general population. In Oregon, the suicide rate has risen out of proportion to the rest of the country, even excluding assisted-suicide deaths. (All laws require that assisted deaths be reported as a death from natural illness rather than suicide.) No formal study has been made of this issue, but there should be some provision to review and suspend the practice if this turns out to be the case.
All existing assisted-suicide laws recommend but do not require that a death be attended. Thus, despite the intent of the law, there is no way to ensure that the suicide is actually voluntary once the lethal medication is in hand. The law allows a physician to dispense medications to facilitate the ingestion of pentobarbital. This is necessary, because some patients have been unable to ingest the volume of liquid necessary to take the whole dose and have regurgitated the medication. Allowing premedication with an antiemetic is sometimes necessary. In theory, this aspect of the law could allow a health care practitioner to inject the antiemetic – an active involvement that would cross the line into euthanasia.
With regard to institutionalized patients, psychiatrists would be in a particularly challenging position. Presently, all patients admitted to hospitals are offered an opportunity to sign medical advance directives. At our forensic hospital in Maryland, admitting physicians assess the patient’s capacity to sign these directives. In theory, an insanity acquittee or long-term patient with a serious medical illness could request assisted suicide if competent. By law, the primary physician – a ward psychiatrist – would ultimately be required to write the lethal prescription or refer to another physician who would. If the patient were incompetent to request assisted suicide, the ward psychiatrist would be required to treat the mental illness knowing that it could eventually lead to the patient’s death. This situation is analogous to the dilemma of the correctional psychiatrist who treats an incompetent death row inmate.
There are many other problems with assisted-suicide legislation. At the very least, states should require a formal certification process to ensure that physicians who provide lethal medication have adequate training and experience to administer and interpret screening tests for psychiatric disorders, to do capacity assessments, and to make prognostic decisions relevant to their board certification and training. In all existing assisted-suicide bills and laws, the only requirement for a physician to provide lethal medication is that he or she must have the “qualifications and experience” to make a diagnosis and prognosis. There is no specific requirement that the attending or consulting physician actually be board certified to treat the illness in question. Thus, in theory, an attending or consulting physician could certify terminal illness without proven competence to do so.
Also, no clear safeguard exists to detect, investigate, and prosecute a hypothetical malicious or unscrupulous physician. In Oregon, three physicians write 20% of lethal prescriptions. It only takes one physician to do a lot of harm.
The American Medical Association has had a position statement on this topic for more than 20 years. The AMA takes the position that physician-assisted suicide is categorically unethical and bars doctors from participation. This, from the standpoint of a state health department, is probably the key issue: Should a legislature have the authority to allow physician behavior that a licensing board and professional organizations already have held to be unethical and not the practice of medicine? One of the core characteristics of a profession is the ability to monitor, police, and ensure the integrity of its members. Legislatures are unwise to undermine this.
Dr. Hanson is a forensic psychiatrist and co-author of “Shrink Rap: Three Psychiatrists Explain Their Work” (Baltimore: The Johns Hopkins University Press, 2011). The opinions expressed are those of the author only, and do not represent those of any of Dr. Hanson’s employers or consultees, including the Maryland Department of Health and Mental Hygiene or the Maryland Division of Correction.
Recently, bills aimed at allowing for physician-assisted suicide – also referred to as “Death With Dignity” laws – have been introduced in New Jersey, the District of Columbia, Maryland, Colorado, California, and Hawaii. Debates over the issue of end-of-life care are contentious and distressing, often accompanied by the tearful testimony of those who have cared for a family member throughout a long terminal illness. It’s hard to listen to these stories and not be moved personally, and to draw upon one’s own life experience with bereavement after a loved one’s suicide or disease.
For psychiatrists, the challenge is to think about assisted suicide not in terms of what we would want for ourselves, but what is best for our patients and the medical profession. Proponents argue that respect for patient autonomy should take priority, even if by respecting autonomy the end result is death. Opponents believe that by granting a request to die to a few people, many more vulnerable people may be abused or harmed inadvertently.
In my opinion, after extensive review of the bills and the effects of existing laws in Oregon and Washington, there are too many problems with assisted-suicide laws to safeguard or regulate this practice effectively.
The chief issue is that there is no mandate for any mental health evaluation for any qualified patient who requests assisted suicide. The primary physician and consulting physicians who certify competence may refer to a psychiatrist or psychologist, but this is only if there is a suspicion of incapacity. In Oregon, where this has been legal for 18 years, less than 5% of patients are referred for a competency assessment by a mental health professional although as many as 25% of terminally ill individuals may be suffering from clinical depression. In Oregon, individuals with HIV are 18 times more likely to die of assisted suicide than natural illness, which is particularly concerning given that HIV is known to affect the brain, and is associated with an increased risk of clinical depression and mania. The law allows a qualified patient to bar physicians from contacting or notifying family, which would make a psychiatrist’s competency assessment difficult if not impossible when the patient is suffering from a condition like dementia and can’t give a history himself.
The assisted-suicide process contains no mechanism to challenge the adequacy of the nonpsychiatrist’s assessment of capacity and noncoercion. There is no mechanism for judicial oversight, no mechanism to allow an interested party to raise the question of incompetence, and no existing standard of care for the assessment of capacity in this situation. Some bills protect the identity of the physicians and the patient, or bar medical records from subpoena or discovery, which would make any investigation for civil or criminal purposes difficult. In Oregon, 18 physicians were referred for board investigation, but none were sanctioned because the law required no more than “good faith” compliance with procedures – essentially only a requirement that the proper forms be filled out and filed promptly. This level of review is clearly inadequate when the process involves the death of an individual.
Some evidence suggests that having a physician-assisted law on the books may affect suicide rates in the general population. In Oregon, the suicide rate has risen out of proportion to the rest of the country, even excluding assisted-suicide deaths. (All laws require that assisted deaths be reported as a death from natural illness rather than suicide.) No formal study has been made of this issue, but there should be some provision to review and suspend the practice if this turns out to be the case.
All existing assisted-suicide laws recommend but do not require that a death be attended. Thus, despite the intent of the law, there is no way to ensure that the suicide is actually voluntary once the lethal medication is in hand. The law allows a physician to dispense medications to facilitate the ingestion of pentobarbital. This is necessary, because some patients have been unable to ingest the volume of liquid necessary to take the whole dose and have regurgitated the medication. Allowing premedication with an antiemetic is sometimes necessary. In theory, this aspect of the law could allow a health care practitioner to inject the antiemetic – an active involvement that would cross the line into euthanasia.
With regard to institutionalized patients, psychiatrists would be in a particularly challenging position. Presently, all patients admitted to hospitals are offered an opportunity to sign medical advance directives. At our forensic hospital in Maryland, admitting physicians assess the patient’s capacity to sign these directives. In theory, an insanity acquittee or long-term patient with a serious medical illness could request assisted suicide if competent. By law, the primary physician – a ward psychiatrist – would ultimately be required to write the lethal prescription or refer to another physician who would. If the patient were incompetent to request assisted suicide, the ward psychiatrist would be required to treat the mental illness knowing that it could eventually lead to the patient’s death. This situation is analogous to the dilemma of the correctional psychiatrist who treats an incompetent death row inmate.
There are many other problems with assisted-suicide legislation. At the very least, states should require a formal certification process to ensure that physicians who provide lethal medication have adequate training and experience to administer and interpret screening tests for psychiatric disorders, to do capacity assessments, and to make prognostic decisions relevant to their board certification and training. In all existing assisted-suicide bills and laws, the only requirement for a physician to provide lethal medication is that he or she must have the “qualifications and experience” to make a diagnosis and prognosis. There is no specific requirement that the attending or consulting physician actually be board certified to treat the illness in question. Thus, in theory, an attending or consulting physician could certify terminal illness without proven competence to do so.
Also, no clear safeguard exists to detect, investigate, and prosecute a hypothetical malicious or unscrupulous physician. In Oregon, three physicians write 20% of lethal prescriptions. It only takes one physician to do a lot of harm.
The American Medical Association has had a position statement on this topic for more than 20 years. The AMA takes the position that physician-assisted suicide is categorically unethical and bars doctors from participation. This, from the standpoint of a state health department, is probably the key issue: Should a legislature have the authority to allow physician behavior that a licensing board and professional organizations already have held to be unethical and not the practice of medicine? One of the core characteristics of a profession is the ability to monitor, police, and ensure the integrity of its members. Legislatures are unwise to undermine this.
Dr. Hanson is a forensic psychiatrist and co-author of “Shrink Rap: Three Psychiatrists Explain Their Work” (Baltimore: The Johns Hopkins University Press, 2011). The opinions expressed are those of the author only, and do not represent those of any of Dr. Hanson’s employers or consultees, including the Maryland Department of Health and Mental Hygiene or the Maryland Division of Correction.
Colloidal Oatmeal: A Natural Solution for a Dysfunctional Skin Barrier
This supplement to Pediatric News® is sponsored by Johnson & Johnson Consumer Companies, Inc.
Click here to view the supplement
Topics
- Introduction
- Prevalence and burden of atopic dermatitis
- Preventing and managing atopic dermatitis with emollients
- Colloidal oatmeal in skin barrier protection
- Clinical efficacy in atopic dermatitis
- Safety of colloidal oatmeal
- Conclusion
Faculty
Adam Friedman, MD
Assistant Professor, Division of Dermatology
Department of Medicine
Montefiore Medical Center
Assistant Professor, Department of Physiology and Biophysics
Albert Einstein College of Medicine
Bronx, NY
Dr. Friedman discloses he is a consultant and serves on the advisory board for Aveeno®, a Johnson & Johnson Consumer Companies, Inc. product line.
This supplement to Pediatric News® is sponsored by Johnson & Johnson Consumer Companies, Inc.
Click here to view the supplement
Topics
- Introduction
- Prevalence and burden of atopic dermatitis
- Preventing and managing atopic dermatitis with emollients
- Colloidal oatmeal in skin barrier protection
- Clinical efficacy in atopic dermatitis
- Safety of colloidal oatmeal
- Conclusion
Faculty
Adam Friedman, MD
Assistant Professor, Division of Dermatology
Department of Medicine
Montefiore Medical Center
Assistant Professor, Department of Physiology and Biophysics
Albert Einstein College of Medicine
Bronx, NY
Dr. Friedman discloses he is a consultant and serves on the advisory board for Aveeno®, a Johnson & Johnson Consumer Companies, Inc. product line.
This supplement to Pediatric News® is sponsored by Johnson & Johnson Consumer Companies, Inc.
Click here to view the supplement
Topics
- Introduction
- Prevalence and burden of atopic dermatitis
- Preventing and managing atopic dermatitis with emollients
- Colloidal oatmeal in skin barrier protection
- Clinical efficacy in atopic dermatitis
- Safety of colloidal oatmeal
- Conclusion
Faculty
Adam Friedman, MD
Assistant Professor, Division of Dermatology
Department of Medicine
Montefiore Medical Center
Assistant Professor, Department of Physiology and Biophysics
Albert Einstein College of Medicine
Bronx, NY
Dr. Friedman discloses he is a consultant and serves on the advisory board for Aveeno®, a Johnson & Johnson Consumer Companies, Inc. product line.
Colloidal Oatmeal: A Natural Solution for a Dysfunctional Skin Barrier
[[{"attributes":{},"fields":{}}]]
A supplement to Dermatology News™. This supplement is sponsored by Johnson & Johnson Consumer Companies, Inc.
Topics
- Introduction
- Prevalence and burden of atopic dermatitis
- Preventing and managing atopic dermatitis with emollients
- Colloidal oatmeal in skin barrier protection
- Clinical efficacy in atopic dermatitis
- Safety of colloidal oatmeal
- Conclusion
Faculty
Adam Friedman, MD
Assistant Professor, Division of Dermatology
Department of Medicine
Montefiore Medical Center
Assistant Professor, Department of Physiology and Biophysics
Albert Einstein College of Medicine
Bronx, NY
Dr. Friedman discloses he is a consultant and serves on the advisory board for Aveeno®, a Johnson & Johnson Consumer Companies, Inc. product line.
Links
Click here to download this supplement.
[[{"attributes":{},"fields":{}}]]
A supplement to Dermatology News™. This supplement is sponsored by Johnson & Johnson Consumer Companies, Inc.
Topics
- Introduction
- Prevalence and burden of atopic dermatitis
- Preventing and managing atopic dermatitis with emollients
- Colloidal oatmeal in skin barrier protection
- Clinical efficacy in atopic dermatitis
- Safety of colloidal oatmeal
- Conclusion
Faculty
Adam Friedman, MD
Assistant Professor, Division of Dermatology
Department of Medicine
Montefiore Medical Center
Assistant Professor, Department of Physiology and Biophysics
Albert Einstein College of Medicine
Bronx, NY
Dr. Friedman discloses he is a consultant and serves on the advisory board for Aveeno®, a Johnson & Johnson Consumer Companies, Inc. product line.
Links
Click here to download this supplement.
[[{"attributes":{},"fields":{}}]]
A supplement to Dermatology News™. This supplement is sponsored by Johnson & Johnson Consumer Companies, Inc.
Topics
- Introduction
- Prevalence and burden of atopic dermatitis
- Preventing and managing atopic dermatitis with emollients
- Colloidal oatmeal in skin barrier protection
- Clinical efficacy in atopic dermatitis
- Safety of colloidal oatmeal
- Conclusion
Faculty
Adam Friedman, MD
Assistant Professor, Division of Dermatology
Department of Medicine
Montefiore Medical Center
Assistant Professor, Department of Physiology and Biophysics
Albert Einstein College of Medicine
Bronx, NY
Dr. Friedman discloses he is a consultant and serves on the advisory board for Aveeno®, a Johnson & Johnson Consumer Companies, Inc. product line.
Links
Click here to download this supplement.
Melanoma incidence highest in Oregon, lowest in Texas in 2015
Projections for the number of new melanoma cases in 2015 give Texas the lowest estimated incidence and Oregon the highest, according to a report from the American Cancer Society.
Texas is expected to have 2,410 new cases of melanoma this year, for an incidence of 8.9 cases per 100,000 people. Oregon’s projected 1,480 melanoma cases for 2015 results in an incidence of 37.3 cases per 100,000 population. (The ACS projected the number of new cases, so incidences here are calculated via recent Census Bureau population estimates.)
After Texas, Louisiana should have the lowest melanoma rate at 11.6 per 100,000, followed by Arkansas and the District of Columbia, both at 12.1 per 100,000. On the upper end of the scale, Oregon will likely be followed by Washington, where the incidence for 2015 is expected to be 34.8 per 100,000, the ACS data show.
Using incidences (1995-2011) reported by the North American Association of Central Cancer Registries, the ACS projected that 73,870 new cases of melanoma will be diagnosed in the United States this year – meaning an overall incidence of 23.2 per 100,000, based on the same Census Bureau figures.
The ACS estimated that there will be 9,940 deaths from melanoma in 2015 – an incidence of 3.1 per 100,000 population – as well as 3,400 deaths from other forms of skin cancer, not including basal cell and squamous cell carcinomas.

Projections for the number of new melanoma cases in 2015 give Texas the lowest estimated incidence and Oregon the highest, according to a report from the American Cancer Society.
Texas is expected to have 2,410 new cases of melanoma this year, for an incidence of 8.9 cases per 100,000 people. Oregon’s projected 1,480 melanoma cases for 2015 results in an incidence of 37.3 cases per 100,000 population. (The ACS projected the number of new cases, so incidences here are calculated via recent Census Bureau population estimates.)
After Texas, Louisiana should have the lowest melanoma rate at 11.6 per 100,000, followed by Arkansas and the District of Columbia, both at 12.1 per 100,000. On the upper end of the scale, Oregon will likely be followed by Washington, where the incidence for 2015 is expected to be 34.8 per 100,000, the ACS data show.
Using incidences (1995-2011) reported by the North American Association of Central Cancer Registries, the ACS projected that 73,870 new cases of melanoma will be diagnosed in the United States this year – meaning an overall incidence of 23.2 per 100,000, based on the same Census Bureau figures.
The ACS estimated that there will be 9,940 deaths from melanoma in 2015 – an incidence of 3.1 per 100,000 population – as well as 3,400 deaths from other forms of skin cancer, not including basal cell and squamous cell carcinomas.

Projections for the number of new melanoma cases in 2015 give Texas the lowest estimated incidence and Oregon the highest, according to a report from the American Cancer Society.
Texas is expected to have 2,410 new cases of melanoma this year, for an incidence of 8.9 cases per 100,000 people. Oregon’s projected 1,480 melanoma cases for 2015 results in an incidence of 37.3 cases per 100,000 population. (The ACS projected the number of new cases, so incidences here are calculated via recent Census Bureau population estimates.)
After Texas, Louisiana should have the lowest melanoma rate at 11.6 per 100,000, followed by Arkansas and the District of Columbia, both at 12.1 per 100,000. On the upper end of the scale, Oregon will likely be followed by Washington, where the incidence for 2015 is expected to be 34.8 per 100,000, the ACS data show.
Using incidences (1995-2011) reported by the North American Association of Central Cancer Registries, the ACS projected that 73,870 new cases of melanoma will be diagnosed in the United States this year – meaning an overall incidence of 23.2 per 100,000, based on the same Census Bureau figures.
The ACS estimated that there will be 9,940 deaths from melanoma in 2015 – an incidence of 3.1 per 100,000 population – as well as 3,400 deaths from other forms of skin cancer, not including basal cell and squamous cell carcinomas.

Leukemia, lymphoma cause more distress in young adults
patient and her father
Photo by Rhoda Baer
Results of 2 new studies indicate that young adults (ages 18 to 39) who have survived leukemia or lymphoma are more likely to report high distress than older survivors (age 65 and older).
Specifically, 45% of younger survivors reported moderate-to-high distress, whereas only 18% of older survivors reported similarly elevated levels.
In both groups, this distress was not affected by the amount of time since a patient received treatment. Distress was just as likely to be high in survivors who had completed treatment 4 years prior as in survivors who were 3 months out of treatment.
Whitney Jones, PhD, of the University of Colorado Denver, and her colleagues reported these findings in the Journal of Psychosocial Oncology.
In the first study, Dr Jones and her colleagues surveyed 477 cancer survivors, using a widely used measure of distress after trauma and several items from a measure of quality of life in cancer survivors.
These measures allowed the researchers to ask which factors of a cancer survivor’s life after treatment are the best predictors of persistent distress after treatment completion.
And results showed that survivors younger than 40 had the highest prevalence of distress.
Dr Jones explained the effect of age on distress using a framework called the Lifespan Perspective. Because there is an expected social, cultural, and developmental course of a person’s life, an event that is highly disruptive in one lifespan stage may be less disruptive in another.
“For younger survivors, cancer is out of context,” Dr Jones said. “When you’re under 40, you’re finishing your education, entering the workforce, starting a family, and cancer may be interpreted as disruptive and unexpected in that phase.”
“On the other hand, some of our older survivors said things like, ‘Cancer isn’t the most difficult thing I’ve experienced in life.’ And they knew friends and family members who had dealt with similar cancer experiences.”
The study also showed that people who feared recurrence were most likely to report high overall distress levels. And high financial burden due to cancer treatment predicted distress.
In the second study, the researchers used interviews with 51 leukemia and lymphoma survivors to explore the human side of these numbers and better understand the sources of distress as articulated by survivors themselves.
“For example, this was before the Affordable Care Act, and we had one survivor who talked about having only the basic college student insurance when he was diagnosed,” Dr Jones said. “After treatment, he discovered he had substantial medical debt and was uninsurable.”
“It helped to hear survivors talk about their experiences in their own words. To hear them articulate it helped us understand the real struggles behind our data.”
The interviews also helped to explain why distress lingers even years after treatment ends.
“A patient told us that, after lymphoma treatment, her doctor said that it would take 2 years to recover physically and mentally, and that almost all the gains would be in these 2 years,” Dr Jones said.
“She said something like, ‘I was really patient for 2 years, then after those 2 years passed, I didn’t feel any better and realized this is what I was going to be living with.’”
Distress detection and treatment is increasingly being seen as part of the standard of care for cancer patients and post-treatment survivors, the researchers noted.
For example, organizations like the National Comprehensive Cancer Network and the American College of Surgeons Commission on Cancer mandate distress screening and treatment in order to earn accreditation from these institutions.
“Understanding which individuals are most likely to experience elevated distress can be useful in targeting interventions to potential participants,” Dr Jones said.
patient and her father
Photo by Rhoda Baer
Results of 2 new studies indicate that young adults (ages 18 to 39) who have survived leukemia or lymphoma are more likely to report high distress than older survivors (age 65 and older).
Specifically, 45% of younger survivors reported moderate-to-high distress, whereas only 18% of older survivors reported similarly elevated levels.
In both groups, this distress was not affected by the amount of time since a patient received treatment. Distress was just as likely to be high in survivors who had completed treatment 4 years prior as in survivors who were 3 months out of treatment.
Whitney Jones, PhD, of the University of Colorado Denver, and her colleagues reported these findings in the Journal of Psychosocial Oncology.
In the first study, Dr Jones and her colleagues surveyed 477 cancer survivors, using a widely used measure of distress after trauma and several items from a measure of quality of life in cancer survivors.
These measures allowed the researchers to ask which factors of a cancer survivor’s life after treatment are the best predictors of persistent distress after treatment completion.
And results showed that survivors younger than 40 had the highest prevalence of distress.
Dr Jones explained the effect of age on distress using a framework called the Lifespan Perspective. Because there is an expected social, cultural, and developmental course of a person’s life, an event that is highly disruptive in one lifespan stage may be less disruptive in another.
“For younger survivors, cancer is out of context,” Dr Jones said. “When you’re under 40, you’re finishing your education, entering the workforce, starting a family, and cancer may be interpreted as disruptive and unexpected in that phase.”
“On the other hand, some of our older survivors said things like, ‘Cancer isn’t the most difficult thing I’ve experienced in life.’ And they knew friends and family members who had dealt with similar cancer experiences.”
The study also showed that people who feared recurrence were most likely to report high overall distress levels. And high financial burden due to cancer treatment predicted distress.
In the second study, the researchers used interviews with 51 leukemia and lymphoma survivors to explore the human side of these numbers and better understand the sources of distress as articulated by survivors themselves.
“For example, this was before the Affordable Care Act, and we had one survivor who talked about having only the basic college student insurance when he was diagnosed,” Dr Jones said. “After treatment, he discovered he had substantial medical debt and was uninsurable.”
“It helped to hear survivors talk about their experiences in their own words. To hear them articulate it helped us understand the real struggles behind our data.”
The interviews also helped to explain why distress lingers even years after treatment ends.
“A patient told us that, after lymphoma treatment, her doctor said that it would take 2 years to recover physically and mentally, and that almost all the gains would be in these 2 years,” Dr Jones said.
“She said something like, ‘I was really patient for 2 years, then after those 2 years passed, I didn’t feel any better and realized this is what I was going to be living with.’”
Distress detection and treatment is increasingly being seen as part of the standard of care for cancer patients and post-treatment survivors, the researchers noted.
For example, organizations like the National Comprehensive Cancer Network and the American College of Surgeons Commission on Cancer mandate distress screening and treatment in order to earn accreditation from these institutions.
“Understanding which individuals are most likely to experience elevated distress can be useful in targeting interventions to potential participants,” Dr Jones said.
patient and her father
Photo by Rhoda Baer
Results of 2 new studies indicate that young adults (ages 18 to 39) who have survived leukemia or lymphoma are more likely to report high distress than older survivors (age 65 and older).
Specifically, 45% of younger survivors reported moderate-to-high distress, whereas only 18% of older survivors reported similarly elevated levels.
In both groups, this distress was not affected by the amount of time since a patient received treatment. Distress was just as likely to be high in survivors who had completed treatment 4 years prior as in survivors who were 3 months out of treatment.
Whitney Jones, PhD, of the University of Colorado Denver, and her colleagues reported these findings in the Journal of Psychosocial Oncology.
In the first study, Dr Jones and her colleagues surveyed 477 cancer survivors, using a widely used measure of distress after trauma and several items from a measure of quality of life in cancer survivors.
These measures allowed the researchers to ask which factors of a cancer survivor’s life after treatment are the best predictors of persistent distress after treatment completion.
And results showed that survivors younger than 40 had the highest prevalence of distress.
Dr Jones explained the effect of age on distress using a framework called the Lifespan Perspective. Because there is an expected social, cultural, and developmental course of a person’s life, an event that is highly disruptive in one lifespan stage may be less disruptive in another.
“For younger survivors, cancer is out of context,” Dr Jones said. “When you’re under 40, you’re finishing your education, entering the workforce, starting a family, and cancer may be interpreted as disruptive and unexpected in that phase.”
“On the other hand, some of our older survivors said things like, ‘Cancer isn’t the most difficult thing I’ve experienced in life.’ And they knew friends and family members who had dealt with similar cancer experiences.”
The study also showed that people who feared recurrence were most likely to report high overall distress levels. And high financial burden due to cancer treatment predicted distress.
In the second study, the researchers used interviews with 51 leukemia and lymphoma survivors to explore the human side of these numbers and better understand the sources of distress as articulated by survivors themselves.
“For example, this was before the Affordable Care Act, and we had one survivor who talked about having only the basic college student insurance when he was diagnosed,” Dr Jones said. “After treatment, he discovered he had substantial medical debt and was uninsurable.”
“It helped to hear survivors talk about their experiences in their own words. To hear them articulate it helped us understand the real struggles behind our data.”
The interviews also helped to explain why distress lingers even years after treatment ends.
“A patient told us that, after lymphoma treatment, her doctor said that it would take 2 years to recover physically and mentally, and that almost all the gains would be in these 2 years,” Dr Jones said.
“She said something like, ‘I was really patient for 2 years, then after those 2 years passed, I didn’t feel any better and realized this is what I was going to be living with.’”
Distress detection and treatment is increasingly being seen as part of the standard of care for cancer patients and post-treatment survivors, the researchers noted.
For example, organizations like the National Comprehensive Cancer Network and the American College of Surgeons Commission on Cancer mandate distress screening and treatment in order to earn accreditation from these institutions.
“Understanding which individuals are most likely to experience elevated distress can be useful in targeting interventions to potential participants,” Dr Jones said.
Survey results support shared decision-making
Photo by Rhoda Baer
A survey of cancer patients has shown that when physicians make treatment decisions alone, patients tend to rate the quality of care lower than when physicians include patients in the decision-making process.
Researchers found this to be the case even among patients who said they preferred it when physicians made treatment decisions alone.
Kenneth L. Kehl, MD, of MD Anderson Cancer Center in Houston, Texas, and his colleagues reported these findings in JAMA Oncology.
The researchers surveyed 5315 cancer patients who reported decision roles for 10,817 treatment decisions. The team assessed the association between patients’ roles in decisions with their reports on quality of care and physician communication.
Most of the patients (58%) said they preferred shared roles in decision-making, 36% preferred patient-controlled decisions, and 6% preferred physician-controlled decisions.
The patients reported that their actual decision-making process was patient-controlled in 39% of decisions, shared in 44%, and physician-controlled in 17%. Of the treatment decisions made by patients, 42% were regarding surgery, 36% were regarding chemotherapy, and 22% were regarding radiation.
The researchers found that patients’ preferred role in decision-making was not associated with how they rated the quality of care. But when they reported that treatment decisions were controlled by physicians, the patients were less likely to rate the quality of care as excellent, as compared to shared-decision making situations.
Patients said physician care was excellent in 67.8% of cases. And 55.8% of patients gave their physicians the highest possible rating of communication.
However, patients who preferred physician-controlled decisions to shared decision-making were less likely to give top ratings to their physicians, as were patients who reported actually experiencing physician-controlled vs shared decisions.
The researchers said these results highlight the benefits of promoting shared decision-making among all patients with cancer, even those who seem to prefer less active roles in the process.
In a related commentary, Sarah T. Hawley, PhD, and Reshma Jagsi, MD, DPhil, of the University of Michigan in Ann Arbor, said they were intrigued by the fact that the association between shared decision-making and patient appraisal of care quality remained even when controlling for a patient’s preferred role in the decision-making process.
“Kehl and colleagues conclude from this finding that it is important to promote [shared decision-making], even among patients who may seek less active roles,” Drs Hawley and Jagsi wrote.
“Yet . . . prior work . . . has suggested that it is the match between patients’ preferred and actual involvement that contributes to greater satisfaction with care. These conflicting results underscore the need for further work to better quantify and link measures of [shared decision-making] to patient appraisal of care.”
Photo by Rhoda Baer
A survey of cancer patients has shown that when physicians make treatment decisions alone, patients tend to rate the quality of care lower than when physicians include patients in the decision-making process.
Researchers found this to be the case even among patients who said they preferred it when physicians made treatment decisions alone.
Kenneth L. Kehl, MD, of MD Anderson Cancer Center in Houston, Texas, and his colleagues reported these findings in JAMA Oncology.
The researchers surveyed 5315 cancer patients who reported decision roles for 10,817 treatment decisions. The team assessed the association between patients’ roles in decisions with their reports on quality of care and physician communication.
Most of the patients (58%) said they preferred shared roles in decision-making, 36% preferred patient-controlled decisions, and 6% preferred physician-controlled decisions.
The patients reported that their actual decision-making process was patient-controlled in 39% of decisions, shared in 44%, and physician-controlled in 17%. Of the treatment decisions made by patients, 42% were regarding surgery, 36% were regarding chemotherapy, and 22% were regarding radiation.
The researchers found that patients’ preferred role in decision-making was not associated with how they rated the quality of care. But when they reported that treatment decisions were controlled by physicians, the patients were less likely to rate the quality of care as excellent, as compared to shared-decision making situations.
Patients said physician care was excellent in 67.8% of cases. And 55.8% of patients gave their physicians the highest possible rating of communication.
However, patients who preferred physician-controlled decisions to shared decision-making were less likely to give top ratings to their physicians, as were patients who reported actually experiencing physician-controlled vs shared decisions.
The researchers said these results highlight the benefits of promoting shared decision-making among all patients with cancer, even those who seem to prefer less active roles in the process.
In a related commentary, Sarah T. Hawley, PhD, and Reshma Jagsi, MD, DPhil, of the University of Michigan in Ann Arbor, said they were intrigued by the fact that the association between shared decision-making and patient appraisal of care quality remained even when controlling for a patient’s preferred role in the decision-making process.
“Kehl and colleagues conclude from this finding that it is important to promote [shared decision-making], even among patients who may seek less active roles,” Drs Hawley and Jagsi wrote.
“Yet . . . prior work . . . has suggested that it is the match between patients’ preferred and actual involvement that contributes to greater satisfaction with care. These conflicting results underscore the need for further work to better quantify and link measures of [shared decision-making] to patient appraisal of care.”
Photo by Rhoda Baer
A survey of cancer patients has shown that when physicians make treatment decisions alone, patients tend to rate the quality of care lower than when physicians include patients in the decision-making process.
Researchers found this to be the case even among patients who said they preferred it when physicians made treatment decisions alone.
Kenneth L. Kehl, MD, of MD Anderson Cancer Center in Houston, Texas, and his colleagues reported these findings in JAMA Oncology.
The researchers surveyed 5315 cancer patients who reported decision roles for 10,817 treatment decisions. The team assessed the association between patients’ roles in decisions with their reports on quality of care and physician communication.
Most of the patients (58%) said they preferred shared roles in decision-making, 36% preferred patient-controlled decisions, and 6% preferred physician-controlled decisions.
The patients reported that their actual decision-making process was patient-controlled in 39% of decisions, shared in 44%, and physician-controlled in 17%. Of the treatment decisions made by patients, 42% were regarding surgery, 36% were regarding chemotherapy, and 22% were regarding radiation.
The researchers found that patients’ preferred role in decision-making was not associated with how they rated the quality of care. But when they reported that treatment decisions were controlled by physicians, the patients were less likely to rate the quality of care as excellent, as compared to shared-decision making situations.
Patients said physician care was excellent in 67.8% of cases. And 55.8% of patients gave their physicians the highest possible rating of communication.
However, patients who preferred physician-controlled decisions to shared decision-making were less likely to give top ratings to their physicians, as were patients who reported actually experiencing physician-controlled vs shared decisions.
The researchers said these results highlight the benefits of promoting shared decision-making among all patients with cancer, even those who seem to prefer less active roles in the process.
In a related commentary, Sarah T. Hawley, PhD, and Reshma Jagsi, MD, DPhil, of the University of Michigan in Ann Arbor, said they were intrigued by the fact that the association between shared decision-making and patient appraisal of care quality remained even when controlling for a patient’s preferred role in the decision-making process.
“Kehl and colleagues conclude from this finding that it is important to promote [shared decision-making], even among patients who may seek less active roles,” Drs Hawley and Jagsi wrote.
“Yet . . . prior work . . . has suggested that it is the match between patients’ preferred and actual involvement that contributes to greater satisfaction with care. These conflicting results underscore the need for further work to better quantify and link measures of [shared decision-making] to patient appraisal of care.”
Cancer patients rarely make inappropriate requests, study shows
Photo courtesy of NIH
Although it makes sense that patient requests might drive physicians to practice defensive medicine, new research suggests that may not be the case with cancer patients.
The study, conducted at outpatient oncology centers, showed that patients rarely made clinically inappropriate requests.
Only 1% of more than 5000 patient-clinician encounters resulted in a clinically inappropriate request. And physicians rarely complied with these requests.
Keerthi Gogineni, MD, of the Hospital of the University of Pennsylvania in Philadelphia, and colleagues reported these findings in JAMA Oncology.
The researchers analyzed interviews with clinicians immediately after they visited with patients to assess whether a patient had made a request, the type of request made, and the clinical appropriateness of it.
The interviews were conducted at outpatient oncology facilities at 3 Philadelphia-area hospitals between October 2013 and June 2014.
The authors evaluated 5050 patient-clinician encounters involving 3624 patients and 60 clinicians. Most of the patients were women, and the most common cancer was hematologic.
Overall, 440 (8.7%) of the encounters included a patient demand or request, such as for imaging studies, treatments, or tests. And physicians complied with 365 (83%) of them.
Of all the patient-clinician encounters, 50 (1%) included a clinically inappropriate request. Clinicians complied with 7 of them. So, in 0.14% of encounters, clinicians ordered a test or treatment based on a clinically inappropriate request.
“At least in oncology, ‘demanding patients’ seem infrequent and may not account for a significant proportion of costs,” the researchers concluded.
In a related editorial, Anthony L. Back, MD, of the Seattle Cancer Care Alliance in Washington, wrote that inappropriate patient demands appear to be “more mythical than real.”
“[W]e have to stop blaming patients for being demanding,” he wrote. “In reality, it is hardly happening. The myth of the demanding patient is more about our own responses and how lackluster communication skills can contribute to difficult situations that stick in our throats and in our memories. And when we have calmed down enough to look up, we see that what is really happening between patients and physicians these days is something quite different.”
“It is possible that what the study by Gogineni et al documents is a point in the evolution of the patient-physician relationship when both sides recognize the complexity of cancer care belies a simple fix. Perhaps this ‘negative’ study is pointing to an important truth: that we need to redirect our attention from the myths that are distracting us.”
Photo courtesy of NIH
Although it makes sense that patient requests might drive physicians to practice defensive medicine, new research suggests that may not be the case with cancer patients.
The study, conducted at outpatient oncology centers, showed that patients rarely made clinically inappropriate requests.
Only 1% of more than 5000 patient-clinician encounters resulted in a clinically inappropriate request. And physicians rarely complied with these requests.
Keerthi Gogineni, MD, of the Hospital of the University of Pennsylvania in Philadelphia, and colleagues reported these findings in JAMA Oncology.
The researchers analyzed interviews with clinicians immediately after they visited with patients to assess whether a patient had made a request, the type of request made, and the clinical appropriateness of it.
The interviews were conducted at outpatient oncology facilities at 3 Philadelphia-area hospitals between October 2013 and June 2014.
The authors evaluated 5050 patient-clinician encounters involving 3624 patients and 60 clinicians. Most of the patients were women, and the most common cancer was hematologic.
Overall, 440 (8.7%) of the encounters included a patient demand or request, such as for imaging studies, treatments, or tests. And physicians complied with 365 (83%) of them.
Of all the patient-clinician encounters, 50 (1%) included a clinically inappropriate request. Clinicians complied with 7 of them. So, in 0.14% of encounters, clinicians ordered a test or treatment based on a clinically inappropriate request.
“At least in oncology, ‘demanding patients’ seem infrequent and may not account for a significant proportion of costs,” the researchers concluded.
In a related editorial, Anthony L. Back, MD, of the Seattle Cancer Care Alliance in Washington, wrote that inappropriate patient demands appear to be “more mythical than real.”
“[W]e have to stop blaming patients for being demanding,” he wrote. “In reality, it is hardly happening. The myth of the demanding patient is more about our own responses and how lackluster communication skills can contribute to difficult situations that stick in our throats and in our memories. And when we have calmed down enough to look up, we see that what is really happening between patients and physicians these days is something quite different.”
“It is possible that what the study by Gogineni et al documents is a point in the evolution of the patient-physician relationship when both sides recognize the complexity of cancer care belies a simple fix. Perhaps this ‘negative’ study is pointing to an important truth: that we need to redirect our attention from the myths that are distracting us.”
Photo courtesy of NIH
Although it makes sense that patient requests might drive physicians to practice defensive medicine, new research suggests that may not be the case with cancer patients.
The study, conducted at outpatient oncology centers, showed that patients rarely made clinically inappropriate requests.
Only 1% of more than 5000 patient-clinician encounters resulted in a clinically inappropriate request. And physicians rarely complied with these requests.
Keerthi Gogineni, MD, of the Hospital of the University of Pennsylvania in Philadelphia, and colleagues reported these findings in JAMA Oncology.
The researchers analyzed interviews with clinicians immediately after they visited with patients to assess whether a patient had made a request, the type of request made, and the clinical appropriateness of it.
The interviews were conducted at outpatient oncology facilities at 3 Philadelphia-area hospitals between October 2013 and June 2014.
The authors evaluated 5050 patient-clinician encounters involving 3624 patients and 60 clinicians. Most of the patients were women, and the most common cancer was hematologic.
Overall, 440 (8.7%) of the encounters included a patient demand or request, such as for imaging studies, treatments, or tests. And physicians complied with 365 (83%) of them.
Of all the patient-clinician encounters, 50 (1%) included a clinically inappropriate request. Clinicians complied with 7 of them. So, in 0.14% of encounters, clinicians ordered a test or treatment based on a clinically inappropriate request.
“At least in oncology, ‘demanding patients’ seem infrequent and may not account for a significant proportion of costs,” the researchers concluded.
In a related editorial, Anthony L. Back, MD, of the Seattle Cancer Care Alliance in Washington, wrote that inappropriate patient demands appear to be “more mythical than real.”
“[W]e have to stop blaming patients for being demanding,” he wrote. “In reality, it is hardly happening. The myth of the demanding patient is more about our own responses and how lackluster communication skills can contribute to difficult situations that stick in our throats and in our memories. And when we have calmed down enough to look up, we see that what is really happening between patients and physicians these days is something quite different.”
“It is possible that what the study by Gogineni et al documents is a point in the evolution of the patient-physician relationship when both sides recognize the complexity of cancer care belies a simple fix. Perhaps this ‘negative’ study is pointing to an important truth: that we need to redirect our attention from the myths that are distracting us.”
In-flight transfusions enable better outcomes in trauma patients
Photo by Elise Amendola
In-flight red blood cell (RBC) transfusions can improve outcomes in trauma patients, according to a study published in the Journal of the American College of Surgeons.
The research showed that air-lifted trauma victims who received blood transfusions in the helicopter had higher one-day survival rates and a lower risk of shock than air-lifted patients who did not receive transfusions until they arrived at the trauma unit.
Patients who received in-flight transfusions also required fewer RBCs once they arrived at the hospital.
Joshua Brown, MD, and his colleagues at the University of Pittsburgh Medical Center (UPMC) conducted this research, evaluating the air medical evacuation strategy at UPMC, which has a network of 18 helicopter bases in Pennsylvania, Ohio, and Maryland.
The STAT MedEvac helicopter teams have been carrying blood for transfusion on their flights for about 2 decades, but this is the first study that evaluated the use of transfused blood in civilian trauma victims air-evacuated directly from the injury scene and compared them with air-evacuated trauma victims who did not receive transfused blood.
It is also the largest study to date of a civilian in-flight trauma resuscitation protocol that has been used by the military in Iraq and Afghanistan.
The researchers evaluated 240 patients who received in-flight RBC transfusions and 480 patients who were not transfused until they reached the trauma center.
Receiving an in-flight transfusion was associated with better odds of 24-hour survival (adjusted odds ratio=4.92, P=0.01), decreased odds of shock (adjusted odds ratio=0.28, P=0.03), and lower 24-hour RBC requirement (coef -3.6 RBC units, P=0.04).
Based on these data, the UPMC may modify its protocol, Dr Brown said.
“It used to be the paramedics had to give the patient 2 liters of saline before giving them blood, and we dropped that down to only 1 liter of saline,” he noted. “Now, based on this study, we’re actually looking at giving patients blood without any saline who meet the criteria of low blood pressure and elevated heart rate and are clearly in shock.”
The UPMC protocol involves giving guidelines on when to administer transfusions to the paramedics and nurses onboard flights. All the STAT MedEvac flights at the institution carry 2 units of RBCs for transfusion.
Helicopter staff can communicate with the medical command doctor at the trauma center to get the go-ahead order to give blood to patients who may not meet the guidelines for transfusion but still may benefit from receiving it.
However, there are regulatory issues that may prevent such a protocol from being adopted universally, Dr Brown noted. In Pennsylvania, paramedics who have had additional training are allowed to start a blood transfusion without a physician present, but not all states allow this.
Dr Brown also explained the logistics and challenges of storing blood away from the blood bank.
“The blood needs to be refrigerated, the helicopter base must have a freezer, and the helicopters must have coolers when they’re actually out on a mission to keep the blood at an appropriate temperature,” he said.
Meeting these requirements involves close coordination with the blood bank and having a way to return unused blood after it expires in 30 days. The University of Pittsburgh has registered all of its helicopter bases as satellite blood banks to comply with the regulations.
Photo by Elise Amendola
In-flight red blood cell (RBC) transfusions can improve outcomes in trauma patients, according to a study published in the Journal of the American College of Surgeons.
The research showed that air-lifted trauma victims who received blood transfusions in the helicopter had higher one-day survival rates and a lower risk of shock than air-lifted patients who did not receive transfusions until they arrived at the trauma unit.
Patients who received in-flight transfusions also required fewer RBCs once they arrived at the hospital.
Joshua Brown, MD, and his colleagues at the University of Pittsburgh Medical Center (UPMC) conducted this research, evaluating the air medical evacuation strategy at UPMC, which has a network of 18 helicopter bases in Pennsylvania, Ohio, and Maryland.
The STAT MedEvac helicopter teams have been carrying blood for transfusion on their flights for about 2 decades, but this is the first study that evaluated the use of transfused blood in civilian trauma victims air-evacuated directly from the injury scene and compared them with air-evacuated trauma victims who did not receive transfused blood.
It is also the largest study to date of a civilian in-flight trauma resuscitation protocol that has been used by the military in Iraq and Afghanistan.
The researchers evaluated 240 patients who received in-flight RBC transfusions and 480 patients who were not transfused until they reached the trauma center.
Receiving an in-flight transfusion was associated with better odds of 24-hour survival (adjusted odds ratio=4.92, P=0.01), decreased odds of shock (adjusted odds ratio=0.28, P=0.03), and lower 24-hour RBC requirement (coef -3.6 RBC units, P=0.04).
Based on these data, the UPMC may modify its protocol, Dr Brown said.
“It used to be the paramedics had to give the patient 2 liters of saline before giving them blood, and we dropped that down to only 1 liter of saline,” he noted. “Now, based on this study, we’re actually looking at giving patients blood without any saline who meet the criteria of low blood pressure and elevated heart rate and are clearly in shock.”
The UPMC protocol involves giving guidelines on when to administer transfusions to the paramedics and nurses onboard flights. All the STAT MedEvac flights at the institution carry 2 units of RBCs for transfusion.
Helicopter staff can communicate with the medical command doctor at the trauma center to get the go-ahead order to give blood to patients who may not meet the guidelines for transfusion but still may benefit from receiving it.
However, there are regulatory issues that may prevent such a protocol from being adopted universally, Dr Brown noted. In Pennsylvania, paramedics who have had additional training are allowed to start a blood transfusion without a physician present, but not all states allow this.
Dr Brown also explained the logistics and challenges of storing blood away from the blood bank.
“The blood needs to be refrigerated, the helicopter base must have a freezer, and the helicopters must have coolers when they’re actually out on a mission to keep the blood at an appropriate temperature,” he said.
Meeting these requirements involves close coordination with the blood bank and having a way to return unused blood after it expires in 30 days. The University of Pittsburgh has registered all of its helicopter bases as satellite blood banks to comply with the regulations.
Photo by Elise Amendola
In-flight red blood cell (RBC) transfusions can improve outcomes in trauma patients, according to a study published in the Journal of the American College of Surgeons.
The research showed that air-lifted trauma victims who received blood transfusions in the helicopter had higher one-day survival rates and a lower risk of shock than air-lifted patients who did not receive transfusions until they arrived at the trauma unit.
Patients who received in-flight transfusions also required fewer RBCs once they arrived at the hospital.
Joshua Brown, MD, and his colleagues at the University of Pittsburgh Medical Center (UPMC) conducted this research, evaluating the air medical evacuation strategy at UPMC, which has a network of 18 helicopter bases in Pennsylvania, Ohio, and Maryland.
The STAT MedEvac helicopter teams have been carrying blood for transfusion on their flights for about 2 decades, but this is the first study that evaluated the use of transfused blood in civilian trauma victims air-evacuated directly from the injury scene and compared them with air-evacuated trauma victims who did not receive transfused blood.
It is also the largest study to date of a civilian in-flight trauma resuscitation protocol that has been used by the military in Iraq and Afghanistan.
The researchers evaluated 240 patients who received in-flight RBC transfusions and 480 patients who were not transfused until they reached the trauma center.
Receiving an in-flight transfusion was associated with better odds of 24-hour survival (adjusted odds ratio=4.92, P=0.01), decreased odds of shock (adjusted odds ratio=0.28, P=0.03), and lower 24-hour RBC requirement (coef -3.6 RBC units, P=0.04).
Based on these data, the UPMC may modify its protocol, Dr Brown said.
“It used to be the paramedics had to give the patient 2 liters of saline before giving them blood, and we dropped that down to only 1 liter of saline,” he noted. “Now, based on this study, we’re actually looking at giving patients blood without any saline who meet the criteria of low blood pressure and elevated heart rate and are clearly in shock.”
The UPMC protocol involves giving guidelines on when to administer transfusions to the paramedics and nurses onboard flights. All the STAT MedEvac flights at the institution carry 2 units of RBCs for transfusion.
Helicopter staff can communicate with the medical command doctor at the trauma center to get the go-ahead order to give blood to patients who may not meet the guidelines for transfusion but still may benefit from receiving it.
However, there are regulatory issues that may prevent such a protocol from being adopted universally, Dr Brown noted. In Pennsylvania, paramedics who have had additional training are allowed to start a blood transfusion without a physician present, but not all states allow this.
Dr Brown also explained the logistics and challenges of storing blood away from the blood bank.
“The blood needs to be refrigerated, the helicopter base must have a freezer, and the helicopters must have coolers when they’re actually out on a mission to keep the blood at an appropriate temperature,” he said.
Meeting these requirements involves close coordination with the blood bank and having a way to return unused blood after it expires in 30 days. The University of Pittsburgh has registered all of its helicopter bases as satellite blood banks to comply with the regulations.
Febrile Infant CPGs
Febrile young infants are at high risk for serious bacterial infection (SBI) with reported rates of 8.5% to 12%, even higher in neonates 28 days of age.[1, 2, 3] As a result, febrile infants often undergo extensive diagnostic evaluation consisting of a combination of urine, blood, and cerebrospinal fluid (CSF) testing.[4, 5, 6] Several clinical prediction algorithms use this diagnostic testing to identify febrile infants at low risk for SBI, but they differ with respect to age range, recommended testing, antibiotic administration, and threshold for hospitalization.[4, 5, 6] Additionally, the optimal management strategy for this population has not been defined.[7] Consequently, laboratory testing, antibiotic use, and hospitalization for febrile young infants vary widely among hospitals.[8, 9, 10]
Clinical practice guidelines (CPGs) are designed to implement evidence‐based care and reduce practice variability, with the goal of improving quality of care and optimizing costs.[11] Implementation of a CPG for management of febrile young infants in the Intermountain Healthcare System was associated with greater adherence to evidence‐based care and lower costs.[12] However, when strong evidence is lacking, different interpretations of febrile infant risk classification incorporated into local CPGs may be a major driver of the across‐hospital practice variation observed in prior studies.[8, 9] Understanding sources of variability as well as determining the association of CPGs with clinicians' practice patterns can help identify quality improvement opportunities, either through national benchmarking or local efforts.
Our primary objectives were to compare (1) recommendations of pediatric emergency departmentbased institutional CPGs for febrile young infants and (2) rates of urine, blood, CSF testing, hospitalization, and ceftriaxone use at emergency department (ED) discharge based upon CPG presence and the specific CPG recommendations. Our secondary objectives were to describe the association of CPGs with healthcare costs and return visits for SBI.
METHODS
Study Design
We used the Pediatric Health Information System (PHIS) to identify febrile infants 56 days of age who presented to the ED between January 1, 2013 and December 31, 2013. We also surveyed ED providers at participating PHIS hospitals. Informed consent was obtained from survey respondents. The institutional review board at Boston Children's Hospital approved the study protocol.
Clinical Practice Guideline Survey
We sent an electronic survey to medical directors or division directors at 37 pediatric EDs to determine whether their ED utilized a CPG for the management of the febrile young infant in 2013. If no response was received after the second attempt, we queried ED fellowship directors or other ED attending physicians at nonresponding hospitals. Survey items included the presence of a febrile young infant CPG, and if present, the year of implementation, ages targeted, and CPG content. As applicable, respondents were asked to share their CPG and/or provide the specific CPG recommendations.
We collected and managed survey data using the Research Electronic Data Capture (REDCap) electronic data capture tools hosted at Boston Children's Hospital. REDCap is a secure, Web‐based application designed to support data capture for research studies.[13]
Data Source
The PHIS database contains administrative data from 44 US children's hospitals. These hospitals, affiliated with the Children's Hospital Association, represent 85% of freestanding US children's hospitals.[14] Encrypted patient identifiers permit tracking of patients across encounters.[15] Data quality and integrity are assured jointly by the Children's Hospital Association and participating hospitals.[16] For this study, 7 hospitals were excluded due to incomplete ED data or known data‐quality issues.[17]
Patients
We identified study infants using the following International Classification of Diseases, 9th Revision (ICD‐9) admission or discharge diagnosis codes for fever as defined previously[8, 9]: 780.6, 778.4, 780.60, or 780.61. We excluded infants with a complex chronic condition[18] and those transferred from another institution, as these infants may warrant a nonstandard evaluation and/or may have incomplete data. For infants with >1 ED visit for fever during the study period, repeat visits within 3 days of an index visit were considered a revisit for the same episode of illness; visits >3 days following an index visit were considered as a new index visit.
Study Definitions
From the PHIS database, we abstracted demographic characteristics (gender, race/ethnicity), insurance status, and region where the hospital was located (using US Census categories[19]). Billing codes were used to assess whether urine, blood, and CSF testing (as defined previously[9]) were performed during the ED evaluation. To account for ED visits that spanned the midnight hour, for hospitalized patients we considered any testing or treatment occurring on the initial or second hospital day to be performed in the ED; billing code data in PHIS are based upon calendar day and do not distinguish testing performed in the ED versus inpatient setting.[8, 9] Patients billed for observation care were classified as being hospitalized.[20, 21]
We identified the presence of an SBI using ICD‐9 diagnosis codes for the following infections as described previously[9]: urinary tract infection or pyelonephritis,[22] bacteremia or sepsis, bacterial meningitis,[16] pneumonia,[23] or bacterial enteritis. To assess return visits for SBI that required inpatient management, we defined an ED revisit for an SBI as a return visit within 3 days of ED discharge[24, 25] that resulted in hospitalization with an associated ICD‐9 discharge diagnosis code for an SBI.
Hospitals charges in PHIS database were adjusted for hospital location by using the Centers for Medicare and Medicaid Services price/wage index. Costs were estimated by applying hospital‐level cost‐to‐charge ratios to charge data.[26]
Measured Exposures
The primary exposure was the presence of an ED‐based CPG for management of the febrile young infant aged 28 days and 29 to 56 days; 56 days was used as the upper age limit as all of the CPGs included infants up to this age or beyond. Six institutions utilized CPGs with different thresholds to define the age categories (eg, dichotomized at 27 or 30 days); these CPGs were classified into the aforementioned age groups to permit comparisons across standardized age groups. We classified institutions based on the presence of a CPG. To assess differences in the application of low‐risk criteria, the CPGs were further classified a priori based upon specific recommendations around laboratory testing and hospitalization, as well as ceftriaxone use for infants aged 29 to 56 days discharged from the ED. CPGs were categorized based upon whether testing, hospitalization, and ceftriaxone use were: (1) recommended for all patients, (2) recommended only if patients were classified as high risk (absence of low‐risk criteria), (3) recommended against, or (4) recommended to consider at clinician discretion.
Outcome Measures
Measured outcomes were performance of urine, blood, CSF testing, and hospitalization rate, as well as rate of ceftriaxone use for discharged infants aged 29 to 56 days, 3‐day revisits for SBI, and costs per visit, which included hospitalization costs for admitted patients.
Data Analysis
We described continuous variables using median and interquartile range or range values and categorical variables using frequencies. We compared medians using Wilcoxon rank sum and categorical variables using a [2] test. We compared rates of testing, hospitalization, ceftriaxone use, and 3‐day revisits for SBI based on the presence of a CPG, and when present, the specific CPG recommendations. Costs per visit were compared between institutions with and without CPGs and assessed separately for admitted and discharged patients. To adjust for potential confounders and clustering of patients within hospitals, we used generalized estimating equations with logistic regression to generate adjusted odd ratios (aORs) and 95% confidence intervals (CIs). Models were adjusted for geographic region, payer, race, and gender. Statistical analyses were performed by using SAS version 9.3 (SAS Institute, Cary, NC). We determined statistical significance as a 2‐tailed P value <0.05.
Febrile infants with bronchiolitis or a history of prematurity may be managed differently from full‐term febrile young infants without bronchiolitis.[6, 27] Therefore, we performed a subgroup analysis after exclusion of infants with an ICD‐9 discharge diagnosis code for bronchiolitis (466.11 and 466.19)[28] or prematurity (765).
Because our study included ED encounters in 2013, we repeated our analyses after exclusion of hospitals with CPGs implemented during the 2013 calendar year.
RESULTS
CPG by Institution
Thirty‐three (89.2%) of the 37 EDs surveyed completed the questionnaire. Overall, 21 (63.6%) of the 33 EDs had a CPG; 15 (45.5%) had a CPG for all infants 56 days of age, 5 (15.2%) had a CPG for infants 28 days only, and 1 (3.0%) had a CPG for infants 29 to 56 days but not 28 days of age (Figure 1). Seventeen EDs had an established CPG prior to 2013, and 4 hospitals implemented a CPG during the 2013 calendar year, 2 with CPGs for neonates 28 days and 2 with CPGs for both 28 days and 29 to 56 days of age. Hospitals with CPGs were more likely to be located in the Northeast and West regions of the United States and provide care to a higher proportion of non‐Hispanic white patients, as well as those with commercial insurance (Table 1).

Characteristic | 28 Days | 2956 Days | ||||
---|---|---|---|---|---|---|
No CPG, n=996, N (%) | CPG, n=2,149, N (%) | P Value | No CPG, n=2,460, N (%) | CPG, n=3,772, N (%) | P Value | |
| ||||||
Race | ||||||
Non‐Hispanic white | 325 (32.6) | 996 (46.3) | 867 (35.2) | 1,728 (45.8) | ||
Non‐Hispanic black | 248 (24.9) | 381 (17.7) | 593 (24.1) | 670 (17.8) | ||
Hispanic | 243 (24.4) | 531 (24.7) | 655 (26.6) | 986 (26.1) | ||
Asian | 28 (2.8) | 78 (3.6) | 40 (1.6) | 122 (3.2) | ||
Other Race | 152 (15.3) | 163 (7.6) | <0.001 | 305 (12.4) | 266 (7.1) | <0.001 |
Gender | ||||||
Female | 435 (43.7) | 926 (43.1) | 0.76 | 1,067 (43.4) | 1,714 (45.4) | 0.22 |
Payer | ||||||
Commercial | 243 (24.4) | 738 (34.3) | 554 (22.5) | 1,202 (31.9) | ||
Government | 664 (66.7) | 1,269 (59.1) | 1,798 (73.1) | 2,342 (62.1) | ||
Other payer | 89 (8.9) | 142 (6.6) | <0.001 | 108 (4.4) | 228 (6.0) | <0.001 |
Region | ||||||
Northeast | 39 (3.9) | 245 (11.4) | 77 (3.1) | 572 (15.2) | ||
South | 648 (65.1) | 915 (42.6) | 1,662 (67.6) | 1,462 (38.8) | ||
Midwest | 271 (27.2) | 462 (21.5) | 506 (20.6) | 851 (22.6) | ||
West | 38 (3.8) | 527 (24.5) | <0.001 | 215 (8.7) | 887 (23.5) | <0.001 |
Serious bacterial infection | ||||||
Overall* | 131 (13.2) | 242 (11.3) | 0.14 | 191 (7.8) | 237 (6.3) | 0.03 |
UTI/pyelonephritis | 73 (7.3) | 153 (7.1) | 103 (4.2) | 154 (4.1) | ||
Bacteremia/sepsis | 56 (5.6) | 91 (4.2) | 78 (3.2) | 61 (1.6) | ||
Bacterial meningitis | 15 (1.5) | 15 (0.7) | 4 (0.2) | 14 (0.4) | ||
Age, d, median (IQR) | 18 (11, 24) | 18 (11, 23) | 0.67 | 46 (37, 53) | 45 (37, 53) | 0.11 |
All 20 CPGs for the febrile young infant 28 days of age recommended urine, blood, CSF testing, and hospitalization for all infants (Figure 1). Of the 16 hospitals with CPGs for febrile infants aged 29 to 56 days, all recommended urine and blood testing for all patients, except for 1 CPG, which recommended consideration of blood testing but not to obtain routinely. Hospitals varied in recommendations for CSF testing among infants aged 29 to 56 days: 8 (50%) recommended CSF testing in all patients and 8 (50%) recommended CSF testing only if the patient was high risk per defined criteria (based on history, physical examination, urine, and blood testing). In all 16 CPGs, hospitalization was recommended only for high‐risk infants. For low‐risk infants aged 2956 days being discharged from the ED, 3 hospitals recommended ceftriaxone for all, 9 recommended consideration of ceftriaxone, and 4 recommended against antibiotics (Figure 1).
Study Patients
During the study period, there were 10,415 infants 56 days old with a diagnosis of fever at the 33 participating hospitals. After exclusion of 635 (6.1%) infants with a complex chronic condition and 445 (4.3%) transferred from another institution (including 42 with a complex chronic condition), 9377 infants remained in our study cohort. Approximately one‐third of the cohort was 28 days of age and two‐thirds aged 29 to 56 days. The overall SBI rate was 8.5% but varied by age (11.9% in infants 28 days and 6.9% in infants 29 to 56 days of age) (Table 1).
CPGs and Use of Diagnostic Testing, Hospitalization Rates, Ceftriaxone Use, and Revisits for SBI
For infants 28 days of age, the presence of a CPG was not associated with urine, blood, CSF testing, or hospitalization after multivariable adjustment (Table 2). Among infants aged 29 to 56 days, urine testing did not differ based on the presence of a CPG, whereas blood testing was performed less often at the 1 hospital whose CPG recommended to consider, but not routinely obtain, testing (aOR: 0.4, 95% CI: 0.3‐0.7, P=0.001). Compared to hospitals without a CPG, CSF testing was performed less often at hospitals with CPG recommendations to only obtain CSF if high risk (aOR: 0.5, 95% CI: 0.3‐0.8, P=0.002). However, the odds of hospitalization did not differ at institutions with and without a febrile infant CPG (aOR: 0.7, 95% CI: 0.5‐1.1, P=0.10). For infants aged 29 to 56 days discharged from the ED, ceftriaxone was administered more often at hospitals with CPGs that recommended ceftriaxone for all discharged patients (aOR: 4.6, 95% CI: 2.39.3, P<0.001) and less often at hospitals whose CPGs recommended against antibiotics (aOR: 0.3, 95% CI: 0.1‐0.9, P=0.03) (Table 3). Our findings were similar in the subgroup of infants without bronchiolitis or prematurity (see Supporting Tables 1 and 2 in the online version of this article). After exclusion of hospitals with a CPG implemented during the 2013 calendar year (4 hospitals excluded in the 28 days age group and 2 hospitals excluded in the 29 to 56 days age group), infants aged 29 to 56 days cared for at a hospital with a CPG experienced a lower odds of hospitalization (aOR: 0.7, 95% CI: 0.4‐0.98, P=0.04). Otherwise, our findings in both age groups did not materially differ from the main analyses.
Testing/Hospitalization | No. of Hospitals | No. of Patients | % Received* | aOR (95% CI) | P Value |
---|---|---|---|---|---|
| |||||
Laboratory testing | |||||
Urine testing | |||||
No CPG | 13 | 996 | 75.6 | Ref | |
CPG: recommend for all | 20 | 2,149 | 80.7 | 1.2 (0.9‐1.7) | 0.22 |
Blood testing | |||||
No CPG | 13 | 996 | 76.9 | Ref | |
CPG: recommend for all | 20 | 2,149 | 81.8 | 1.2 (0.9‐1.7) | 0.25 |
CSF testing‖ | |||||
No CPG | 13 | 996 | 71.0 | Ref | |
CPG: recommend for all | 20 | 2,149 | 77.5 | 1.3 (1.01.7) | 0.08 |
Disposition | |||||
Hospitalization | |||||
No CPG | 13 | 996 | 75.4 | Ref | |
CPG: recommend for all | 20 | 2,149 | 81.6 | 1.2 (0.9‐1.8) | 0.26 |
Testing/Hospitalization | No. of Hospitals | No. of Patients | % Received* | aOR (95% CI) | P Value |
---|---|---|---|---|---|
| |||||
Laboratory resting | |||||
Urine testing | |||||
No CPG | 17 | 2,460 | 81.1 | Ref | |
CPG: recommend for all | 16 | 3,772 | 82.1 | 0.9 (0.7‐1.4) | 0.76 |
Blood testing | |||||
No CPG | 17 | 2,460 | 79.4 | Ref | |
CPG: recommend for all | 15 | 3,628 | 82.6 | 1.1 (0.7‐1.6) | 0.70 |
CPG: recommend consider | 1 | 144 | 62.5 | 0.4 (0.3‐0.7) | 0.001 |
CSF testing‖ | |||||
No CPG | 17 | 2,460 | 46.3 | Ref | |
CPG: recommend for all | 8 | 1,517 | 70.3 | 1.3 (0.9‐1.9) | 0.11 |
CPG: recommend if high‐risk | 8 | 2,255 | 39.9 | 0.5 (0.3‐0.8) | 0.002 |
Disposition | |||||
Hospitalization | |||||
No CPG | 17 | 2,460 | 47.0 | Ref | |
CPG: recommend if high‐risk | 16 | 3,772 | 42.0 | 0.7 (0.5‐1.1) | 0.10 |
Ceftriaxone if discharged | |||||
No CPG | 17 | 1,304 | 11.7 | Ref | |
CPG: recommend against | 4 | 313 | 10.9 | 0.3 (0.1‐0.9) | 0.03 |
CPG: recommend consider | 9 | 1,567 | 14.4 | 1.5 (0.9‐2.4) | 0.09 |
CPG: recommend for all | 3 | 306 | 64.1 | 4.6 (2.39.3) | < 0.001 |
Three‐day revisits for SBI were similarly low at hospitals with and without CPGs among infants 28 days (1.5% vs 0.8%, P=0.44) and 29 to 56 days of age (1.4% vs 1.1%, P=0.44) and did not differ after exclusion of hospitals with a CPG implemented in 2013.
CPGs and Costs
Among infants 28 days of age, costs per visit did not differ for admitted and discharged patients based on CPG presence. The presence of an ED febrile infant CPG was associated with higher costs for both admitted and discharged infants 29 to 56 days of age (Table 4). The cost analysis did not significantly differ after exclusion of hospitals with CPGs implemented in 2013.
28 Days, Cost, Median (IQR) | 29 to 56 Days, Cost, Median (IQR) | |||||
---|---|---|---|---|---|---|
No CPG | CPG | P Value | No CPG | CPG | P Value | |
| ||||||
Admitted | $4,979 ($3,408$6,607) [n=751] | $4,715 ($3,472$6,526) [n=1,753] | 0.79 | $3,756 ($2,725$5,041) [n=1,156] | $3,923 ($3,077$5,243) [n=1,586] | <0.001 |
Discharged | $298 ($166$510) [n=245] | $231 ($160$464) [n=396] | 0.10 | $681($398$982) [n=1,304)] | $764 ($412$1,100) [n=2,186] | <0.001 |
DISCUSSION
We described the content and association of CPGs with management of the febrile infant 56 days of age across a large sample of children's hospitals. Nearly two‐thirds of included pediatric EDs have a CPG for the management of young febrile infants. Management of febrile infants 28 days was uniform, with a majority hospitalized after urine, blood, and CSF testing regardless of the presence of a CPG. In contrast, CPGs for infants 29 to 56 days of age varied in their recommendations for CSF testing as well as ceftriaxone use for infants discharged from the ED. Consequently, we observed considerable hospital variability in CSF testing and ceftriaxone use for discharged infants, which correlates with variation in the presence and content of CPGs. Institutional CPGs may be a source of the across‐hospital variation in care of febrile young infants observed in prior study.[9]
Febrile infants 28 days of age are at particularly high risk for SBI, with a prevalence of nearly 20% or higher.[2, 3, 29] The high prevalence of SBI, combined with the inherent difficulty in distinguishing neonates with and without SBI,[2, 30] has resulted in uniform CPG recommendations to perform the full‐sepsis workup in this young age group. Similar to prior studies,[8, 9] we observed that most febrile infants 28 days undergo the full sepsis evaluation, including CSF testing, and are hospitalized regardless of the presence of a CPG.
However, given the conflicting recommendations for febrile infants 29 to 56 days of age,[4, 5, 6] the optimal management strategy is less certain.[7] The Rochester, Philadelphia, and Boston criteria, 3 published models to identify infants at low risk for SBI, primarily differ in their recommendations for CSF testing and ceftriaxone use in this age group.[4, 5, 6] Half of the CPGs recommended CSF testing for all febrile infants, and half recommended CSF testing only if the infant was high risk. Institutional guidelines that recommended selective CSF testing for febrile infants aged 29 to 56 days were associated with lower rates of CSF testing. Furthermore, ceftriaxone use varied based on CPG recommendations for low‐risk infants discharged from the ED. Therefore, the influence of febrile infant CPGs mainly relates to the limiting of CSF testing and targeted ceftriaxone use in low‐risk infants. As the rate of return visits for SBI is low across hospitals, future study should assess outcomes at hospitals with CPGs recommending selective CSF testing. Of note, infants 29 to 56 days of age were less likely to be hospitalized when cared for at a hospital with an established CPG prior to 2013 without increase in 3‐day revisits for SBI. This finding may indicate that longer duration of CPG implementation is associated with lower rates of hospitalization for low‐risk infants; this finding merits further study.
The presence of a CPG was not associated with lower costs for febrile infants in either age group. Although individual healthcare systems have achieved lower costs with CPG implementation,[12] the mere presence of a CPG is not associated with lower costs when assessed across institutions. Higher costs for admitted and discharged infants 29 to 56 days of age in the presence of a CPG likely reflects the higher rate of CSF testing at hospitals whose CPGs recommend testing for all febrile infants, as well as inpatient management strategies for hospitalized infants not captured in our study. Future investigation should include an assessment of the cost‐effectiveness of the various testing and treatment strategies employed for the febrile young infant.
Our study has several limitations. First, the validity of ICD‐9 diagnosis codes for identifying young infants with fever is not well established, and thus our study is subject to misclassification bias. To minimize missed patients, we included infants with either an ICD‐9 admission or discharge diagnosis of fever; however, utilization of diagnosis codes for patient identification may have resulted in undercapture of infants with a measured temperature of 38.0C. It is also possible that some patients who did not undergo testing were misclassified as having a fever or had temperatures below standard thresholds to prompt diagnostic testing. This is a potential reason that testing was not performed in 100% of infants, even at hospitals with CPGs that recommended testing for all patients. Additionally, some febrile infants diagnosed with SBI may not have an associated ICD‐9 diagnosis code for fever. Although the overall SBI rate observed in our study was similar to prior studies,[4, 31] the rate in neonates 28 days of age was lower than reported in recent investigations,[2, 3] which may indicate inclusion of a higher proportion of low‐risk febrile infants. With the exception of bronchiolitis, we also did not assess diagnostic testing in the presence of other identified sources of infection such as herpes simplex virus.
Second, we were unable to assess the presence or absence of a CPG at the 4 excluded EDs that did not respond to the survey or the institutions excluded for data‐quality issues. However, included and excluded hospitals did not differ in region or annual ED volume (data not shown).
Third, although we classified hospitals based upon the presence and content of CPGs, we were unable to fully evaluate adherence to the CPG at each site.
Last, though PHIS hospitals represent 85% of freestanding children's hospitals, many febrile infants are hospitalized at non‐PHIS institutions; our results may not be generalizable to care provided at nonchildren's hospitals.
CONCLUSIONS
Management of febrile neonates 28 days of age does not vary based on CPG presence. However, CPGs for the febrile infant aged 29 to 56 days vary in recommendations for CSF testing as well as ceftriaxone use for low‐risk patients, which significantly contributes to practice variation and healthcare costs across institutions.
Acknowledgements
The Febrile Young Infant Research Collaborative includes the following additional investigators who are acknowledged for their work on this study: Kao‐Ping Chua, MD, Harvard PhD Program in Health Policy, Harvard University, Cambridge, Massachusetts, and Division of Emergency Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, Massachusetts; Elana A. Feldman, BA, University of Washington School of Medicine, Seattle, Washington; and Katie L. Hayes, BS, Division of Emergency Medicine, Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Disclosures
This project was funded in part by The Gerber Foundation Novice Researcher Award (Ref #18273835). Dr. Fran Balamuth received career development support from the National Institutes of Health (NHLBI K12‐HL109009). Funders were not involved in design or conduct of the study; collection, management, analysis, or interpretation of the data; preparation, review, or approval of the manuscript. The authors have no financial relationships relevant to this article to disclose. No payment was received for the production of this article. The authors have no conflicts of interest relevant to this article to disclose.
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- Is 15 days an appropriate cut‐off age for considering serious bacterial infection in the management of febrile infants? Pediatr Infect Dis J. 2012;31:455–458. , , , et al.
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- Febrile infants at low risk for serious bacterial infection—an appraisal of the Rochester criteria and implications for management. Febrile Infant Collaborative Study Group. Pediatrics. 1994;94:390–396. , , , et al.
- American College of Emergency Physicians Clinical Policies Committee; American College of Emergency Physicians Clinical Policies Subcommittee on Pediatric Fever. Clinical policy for children younger than three years presenting to the emergency department with fever. Ann Emerg Med. 2003;42:530–545.
- Management of febrile neonates in US pediatric emergency departments. Pediatrics. 2014;133:187–195. , , , et al.
- Variation in care of the febrile young infant <90 days in US pediatric emergency departments. Pediatrics. 2014;134:667–677. , , , et al.
- Fever survey highlights significant variations in how infants aged ≤60 days are evaluated and underline the need for guidelines. Acta Paediatr. 2014;103:379–385. , , , , .
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- Research electronic data capture (REDCap)—a metadata‐driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42:377–381. , , , , , .
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- Achieving data quality. How data from a pediatric health information system earns the trust of its users. J AHIMA. 2004;75:22–26. .
- Corticosteroids and mortality in children with bacterial meningitis. JAMA. 2008;299:2048–2055. , , , .
- Variation in resource utilization across a national sample of pediatric emergency departments. J Pediatr. 2013;163:230–236. , , , et al.
- Deaths attributed to pediatric complex chronic conditions: national trends and implications for supportive care services. Pediatrics. 2001;107:E99. , , , , , .
- US Census Bureau. Geographic terms and concepts—census divisions and census regions. Available at: https://www.census.gov/geo/reference/gtc/gtc_census_divreg.html. Accessed September 10, 2014.
- Pediatric observation status: are we overlooking a growing population in children's hospitals? J Hosp Med. 2012;7:530–536. , , , et al.
- Differences in designations of observation care in US freestanding children's hospitals: are they virtual or real? J Hosp Med. 2012;7:287–293. , , , et al.
- Accuracy of administrative billing codes to detect urinary tract infection hospitalizations. Pediatrics. 2011;128:323–330. , , , et al.
- Identifying pediatric community‐acquired pneumonia hospitalizations: accuracy of administrative billing codes. JAMA Pediatr. 2013;167:851–858. , , , et al.
- Initial emergency department diagnosis and return visits: risk versus perception. Ann Emerg Med. 1998;32:569–573. , , , .
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Febrile young infants are at high risk for serious bacterial infection (SBI) with reported rates of 8.5% to 12%, even higher in neonates 28 days of age.[1, 2, 3] As a result, febrile infants often undergo extensive diagnostic evaluation consisting of a combination of urine, blood, and cerebrospinal fluid (CSF) testing.[4, 5, 6] Several clinical prediction algorithms use this diagnostic testing to identify febrile infants at low risk for SBI, but they differ with respect to age range, recommended testing, antibiotic administration, and threshold for hospitalization.[4, 5, 6] Additionally, the optimal management strategy for this population has not been defined.[7] Consequently, laboratory testing, antibiotic use, and hospitalization for febrile young infants vary widely among hospitals.[8, 9, 10]
Clinical practice guidelines (CPGs) are designed to implement evidence‐based care and reduce practice variability, with the goal of improving quality of care and optimizing costs.[11] Implementation of a CPG for management of febrile young infants in the Intermountain Healthcare System was associated with greater adherence to evidence‐based care and lower costs.[12] However, when strong evidence is lacking, different interpretations of febrile infant risk classification incorporated into local CPGs may be a major driver of the across‐hospital practice variation observed in prior studies.[8, 9] Understanding sources of variability as well as determining the association of CPGs with clinicians' practice patterns can help identify quality improvement opportunities, either through national benchmarking or local efforts.
Our primary objectives were to compare (1) recommendations of pediatric emergency departmentbased institutional CPGs for febrile young infants and (2) rates of urine, blood, CSF testing, hospitalization, and ceftriaxone use at emergency department (ED) discharge based upon CPG presence and the specific CPG recommendations. Our secondary objectives were to describe the association of CPGs with healthcare costs and return visits for SBI.
METHODS
Study Design
We used the Pediatric Health Information System (PHIS) to identify febrile infants 56 days of age who presented to the ED between January 1, 2013 and December 31, 2013. We also surveyed ED providers at participating PHIS hospitals. Informed consent was obtained from survey respondents. The institutional review board at Boston Children's Hospital approved the study protocol.
Clinical Practice Guideline Survey
We sent an electronic survey to medical directors or division directors at 37 pediatric EDs to determine whether their ED utilized a CPG for the management of the febrile young infant in 2013. If no response was received after the second attempt, we queried ED fellowship directors or other ED attending physicians at nonresponding hospitals. Survey items included the presence of a febrile young infant CPG, and if present, the year of implementation, ages targeted, and CPG content. As applicable, respondents were asked to share their CPG and/or provide the specific CPG recommendations.
We collected and managed survey data using the Research Electronic Data Capture (REDCap) electronic data capture tools hosted at Boston Children's Hospital. REDCap is a secure, Web‐based application designed to support data capture for research studies.[13]
Data Source
The PHIS database contains administrative data from 44 US children's hospitals. These hospitals, affiliated with the Children's Hospital Association, represent 85% of freestanding US children's hospitals.[14] Encrypted patient identifiers permit tracking of patients across encounters.[15] Data quality and integrity are assured jointly by the Children's Hospital Association and participating hospitals.[16] For this study, 7 hospitals were excluded due to incomplete ED data or known data‐quality issues.[17]
Patients
We identified study infants using the following International Classification of Diseases, 9th Revision (ICD‐9) admission or discharge diagnosis codes for fever as defined previously[8, 9]: 780.6, 778.4, 780.60, or 780.61. We excluded infants with a complex chronic condition[18] and those transferred from another institution, as these infants may warrant a nonstandard evaluation and/or may have incomplete data. For infants with >1 ED visit for fever during the study period, repeat visits within 3 days of an index visit were considered a revisit for the same episode of illness; visits >3 days following an index visit were considered as a new index visit.
Study Definitions
From the PHIS database, we abstracted demographic characteristics (gender, race/ethnicity), insurance status, and region where the hospital was located (using US Census categories[19]). Billing codes were used to assess whether urine, blood, and CSF testing (as defined previously[9]) were performed during the ED evaluation. To account for ED visits that spanned the midnight hour, for hospitalized patients we considered any testing or treatment occurring on the initial or second hospital day to be performed in the ED; billing code data in PHIS are based upon calendar day and do not distinguish testing performed in the ED versus inpatient setting.[8, 9] Patients billed for observation care were classified as being hospitalized.[20, 21]
We identified the presence of an SBI using ICD‐9 diagnosis codes for the following infections as described previously[9]: urinary tract infection or pyelonephritis,[22] bacteremia or sepsis, bacterial meningitis,[16] pneumonia,[23] or bacterial enteritis. To assess return visits for SBI that required inpatient management, we defined an ED revisit for an SBI as a return visit within 3 days of ED discharge[24, 25] that resulted in hospitalization with an associated ICD‐9 discharge diagnosis code for an SBI.
Hospitals charges in PHIS database were adjusted for hospital location by using the Centers for Medicare and Medicaid Services price/wage index. Costs were estimated by applying hospital‐level cost‐to‐charge ratios to charge data.[26]
Measured Exposures
The primary exposure was the presence of an ED‐based CPG for management of the febrile young infant aged 28 days and 29 to 56 days; 56 days was used as the upper age limit as all of the CPGs included infants up to this age or beyond. Six institutions utilized CPGs with different thresholds to define the age categories (eg, dichotomized at 27 or 30 days); these CPGs were classified into the aforementioned age groups to permit comparisons across standardized age groups. We classified institutions based on the presence of a CPG. To assess differences in the application of low‐risk criteria, the CPGs were further classified a priori based upon specific recommendations around laboratory testing and hospitalization, as well as ceftriaxone use for infants aged 29 to 56 days discharged from the ED. CPGs were categorized based upon whether testing, hospitalization, and ceftriaxone use were: (1) recommended for all patients, (2) recommended only if patients were classified as high risk (absence of low‐risk criteria), (3) recommended against, or (4) recommended to consider at clinician discretion.
Outcome Measures
Measured outcomes were performance of urine, blood, CSF testing, and hospitalization rate, as well as rate of ceftriaxone use for discharged infants aged 29 to 56 days, 3‐day revisits for SBI, and costs per visit, which included hospitalization costs for admitted patients.
Data Analysis
We described continuous variables using median and interquartile range or range values and categorical variables using frequencies. We compared medians using Wilcoxon rank sum and categorical variables using a [2] test. We compared rates of testing, hospitalization, ceftriaxone use, and 3‐day revisits for SBI based on the presence of a CPG, and when present, the specific CPG recommendations. Costs per visit were compared between institutions with and without CPGs and assessed separately for admitted and discharged patients. To adjust for potential confounders and clustering of patients within hospitals, we used generalized estimating equations with logistic regression to generate adjusted odd ratios (aORs) and 95% confidence intervals (CIs). Models were adjusted for geographic region, payer, race, and gender. Statistical analyses were performed by using SAS version 9.3 (SAS Institute, Cary, NC). We determined statistical significance as a 2‐tailed P value <0.05.
Febrile infants with bronchiolitis or a history of prematurity may be managed differently from full‐term febrile young infants without bronchiolitis.[6, 27] Therefore, we performed a subgroup analysis after exclusion of infants with an ICD‐9 discharge diagnosis code for bronchiolitis (466.11 and 466.19)[28] or prematurity (765).
Because our study included ED encounters in 2013, we repeated our analyses after exclusion of hospitals with CPGs implemented during the 2013 calendar year.
RESULTS
CPG by Institution
Thirty‐three (89.2%) of the 37 EDs surveyed completed the questionnaire. Overall, 21 (63.6%) of the 33 EDs had a CPG; 15 (45.5%) had a CPG for all infants 56 days of age, 5 (15.2%) had a CPG for infants 28 days only, and 1 (3.0%) had a CPG for infants 29 to 56 days but not 28 days of age (Figure 1). Seventeen EDs had an established CPG prior to 2013, and 4 hospitals implemented a CPG during the 2013 calendar year, 2 with CPGs for neonates 28 days and 2 with CPGs for both 28 days and 29 to 56 days of age. Hospitals with CPGs were more likely to be located in the Northeast and West regions of the United States and provide care to a higher proportion of non‐Hispanic white patients, as well as those with commercial insurance (Table 1).

Characteristic | 28 Days | 2956 Days | ||||
---|---|---|---|---|---|---|
No CPG, n=996, N (%) | CPG, n=2,149, N (%) | P Value | No CPG, n=2,460, N (%) | CPG, n=3,772, N (%) | P Value | |
| ||||||
Race | ||||||
Non‐Hispanic white | 325 (32.6) | 996 (46.3) | 867 (35.2) | 1,728 (45.8) | ||
Non‐Hispanic black | 248 (24.9) | 381 (17.7) | 593 (24.1) | 670 (17.8) | ||
Hispanic | 243 (24.4) | 531 (24.7) | 655 (26.6) | 986 (26.1) | ||
Asian | 28 (2.8) | 78 (3.6) | 40 (1.6) | 122 (3.2) | ||
Other Race | 152 (15.3) | 163 (7.6) | <0.001 | 305 (12.4) | 266 (7.1) | <0.001 |
Gender | ||||||
Female | 435 (43.7) | 926 (43.1) | 0.76 | 1,067 (43.4) | 1,714 (45.4) | 0.22 |
Payer | ||||||
Commercial | 243 (24.4) | 738 (34.3) | 554 (22.5) | 1,202 (31.9) | ||
Government | 664 (66.7) | 1,269 (59.1) | 1,798 (73.1) | 2,342 (62.1) | ||
Other payer | 89 (8.9) | 142 (6.6) | <0.001 | 108 (4.4) | 228 (6.0) | <0.001 |
Region | ||||||
Northeast | 39 (3.9) | 245 (11.4) | 77 (3.1) | 572 (15.2) | ||
South | 648 (65.1) | 915 (42.6) | 1,662 (67.6) | 1,462 (38.8) | ||
Midwest | 271 (27.2) | 462 (21.5) | 506 (20.6) | 851 (22.6) | ||
West | 38 (3.8) | 527 (24.5) | <0.001 | 215 (8.7) | 887 (23.5) | <0.001 |
Serious bacterial infection | ||||||
Overall* | 131 (13.2) | 242 (11.3) | 0.14 | 191 (7.8) | 237 (6.3) | 0.03 |
UTI/pyelonephritis | 73 (7.3) | 153 (7.1) | 103 (4.2) | 154 (4.1) | ||
Bacteremia/sepsis | 56 (5.6) | 91 (4.2) | 78 (3.2) | 61 (1.6) | ||
Bacterial meningitis | 15 (1.5) | 15 (0.7) | 4 (0.2) | 14 (0.4) | ||
Age, d, median (IQR) | 18 (11, 24) | 18 (11, 23) | 0.67 | 46 (37, 53) | 45 (37, 53) | 0.11 |
All 20 CPGs for the febrile young infant 28 days of age recommended urine, blood, CSF testing, and hospitalization for all infants (Figure 1). Of the 16 hospitals with CPGs for febrile infants aged 29 to 56 days, all recommended urine and blood testing for all patients, except for 1 CPG, which recommended consideration of blood testing but not to obtain routinely. Hospitals varied in recommendations for CSF testing among infants aged 29 to 56 days: 8 (50%) recommended CSF testing in all patients and 8 (50%) recommended CSF testing only if the patient was high risk per defined criteria (based on history, physical examination, urine, and blood testing). In all 16 CPGs, hospitalization was recommended only for high‐risk infants. For low‐risk infants aged 2956 days being discharged from the ED, 3 hospitals recommended ceftriaxone for all, 9 recommended consideration of ceftriaxone, and 4 recommended against antibiotics (Figure 1).
Study Patients
During the study period, there were 10,415 infants 56 days old with a diagnosis of fever at the 33 participating hospitals. After exclusion of 635 (6.1%) infants with a complex chronic condition and 445 (4.3%) transferred from another institution (including 42 with a complex chronic condition), 9377 infants remained in our study cohort. Approximately one‐third of the cohort was 28 days of age and two‐thirds aged 29 to 56 days. The overall SBI rate was 8.5% but varied by age (11.9% in infants 28 days and 6.9% in infants 29 to 56 days of age) (Table 1).
CPGs and Use of Diagnostic Testing, Hospitalization Rates, Ceftriaxone Use, and Revisits for SBI
For infants 28 days of age, the presence of a CPG was not associated with urine, blood, CSF testing, or hospitalization after multivariable adjustment (Table 2). Among infants aged 29 to 56 days, urine testing did not differ based on the presence of a CPG, whereas blood testing was performed less often at the 1 hospital whose CPG recommended to consider, but not routinely obtain, testing (aOR: 0.4, 95% CI: 0.3‐0.7, P=0.001). Compared to hospitals without a CPG, CSF testing was performed less often at hospitals with CPG recommendations to only obtain CSF if high risk (aOR: 0.5, 95% CI: 0.3‐0.8, P=0.002). However, the odds of hospitalization did not differ at institutions with and without a febrile infant CPG (aOR: 0.7, 95% CI: 0.5‐1.1, P=0.10). For infants aged 29 to 56 days discharged from the ED, ceftriaxone was administered more often at hospitals with CPGs that recommended ceftriaxone for all discharged patients (aOR: 4.6, 95% CI: 2.39.3, P<0.001) and less often at hospitals whose CPGs recommended against antibiotics (aOR: 0.3, 95% CI: 0.1‐0.9, P=0.03) (Table 3). Our findings were similar in the subgroup of infants without bronchiolitis or prematurity (see Supporting Tables 1 and 2 in the online version of this article). After exclusion of hospitals with a CPG implemented during the 2013 calendar year (4 hospitals excluded in the 28 days age group and 2 hospitals excluded in the 29 to 56 days age group), infants aged 29 to 56 days cared for at a hospital with a CPG experienced a lower odds of hospitalization (aOR: 0.7, 95% CI: 0.4‐0.98, P=0.04). Otherwise, our findings in both age groups did not materially differ from the main analyses.
Testing/Hospitalization | No. of Hospitals | No. of Patients | % Received* | aOR (95% CI) | P Value |
---|---|---|---|---|---|
| |||||
Laboratory testing | |||||
Urine testing | |||||
No CPG | 13 | 996 | 75.6 | Ref | |
CPG: recommend for all | 20 | 2,149 | 80.7 | 1.2 (0.9‐1.7) | 0.22 |
Blood testing | |||||
No CPG | 13 | 996 | 76.9 | Ref | |
CPG: recommend for all | 20 | 2,149 | 81.8 | 1.2 (0.9‐1.7) | 0.25 |
CSF testing‖ | |||||
No CPG | 13 | 996 | 71.0 | Ref | |
CPG: recommend for all | 20 | 2,149 | 77.5 | 1.3 (1.01.7) | 0.08 |
Disposition | |||||
Hospitalization | |||||
No CPG | 13 | 996 | 75.4 | Ref | |
CPG: recommend for all | 20 | 2,149 | 81.6 | 1.2 (0.9‐1.8) | 0.26 |
Testing/Hospitalization | No. of Hospitals | No. of Patients | % Received* | aOR (95% CI) | P Value |
---|---|---|---|---|---|
| |||||
Laboratory resting | |||||
Urine testing | |||||
No CPG | 17 | 2,460 | 81.1 | Ref | |
CPG: recommend for all | 16 | 3,772 | 82.1 | 0.9 (0.7‐1.4) | 0.76 |
Blood testing | |||||
No CPG | 17 | 2,460 | 79.4 | Ref | |
CPG: recommend for all | 15 | 3,628 | 82.6 | 1.1 (0.7‐1.6) | 0.70 |
CPG: recommend consider | 1 | 144 | 62.5 | 0.4 (0.3‐0.7) | 0.001 |
CSF testing‖ | |||||
No CPG | 17 | 2,460 | 46.3 | Ref | |
CPG: recommend for all | 8 | 1,517 | 70.3 | 1.3 (0.9‐1.9) | 0.11 |
CPG: recommend if high‐risk | 8 | 2,255 | 39.9 | 0.5 (0.3‐0.8) | 0.002 |
Disposition | |||||
Hospitalization | |||||
No CPG | 17 | 2,460 | 47.0 | Ref | |
CPG: recommend if high‐risk | 16 | 3,772 | 42.0 | 0.7 (0.5‐1.1) | 0.10 |
Ceftriaxone if discharged | |||||
No CPG | 17 | 1,304 | 11.7 | Ref | |
CPG: recommend against | 4 | 313 | 10.9 | 0.3 (0.1‐0.9) | 0.03 |
CPG: recommend consider | 9 | 1,567 | 14.4 | 1.5 (0.9‐2.4) | 0.09 |
CPG: recommend for all | 3 | 306 | 64.1 | 4.6 (2.39.3) | < 0.001 |
Three‐day revisits for SBI were similarly low at hospitals with and without CPGs among infants 28 days (1.5% vs 0.8%, P=0.44) and 29 to 56 days of age (1.4% vs 1.1%, P=0.44) and did not differ after exclusion of hospitals with a CPG implemented in 2013.
CPGs and Costs
Among infants 28 days of age, costs per visit did not differ for admitted and discharged patients based on CPG presence. The presence of an ED febrile infant CPG was associated with higher costs for both admitted and discharged infants 29 to 56 days of age (Table 4). The cost analysis did not significantly differ after exclusion of hospitals with CPGs implemented in 2013.
28 Days, Cost, Median (IQR) | 29 to 56 Days, Cost, Median (IQR) | |||||
---|---|---|---|---|---|---|
No CPG | CPG | P Value | No CPG | CPG | P Value | |
| ||||||
Admitted | $4,979 ($3,408$6,607) [n=751] | $4,715 ($3,472$6,526) [n=1,753] | 0.79 | $3,756 ($2,725$5,041) [n=1,156] | $3,923 ($3,077$5,243) [n=1,586] | <0.001 |
Discharged | $298 ($166$510) [n=245] | $231 ($160$464) [n=396] | 0.10 | $681($398$982) [n=1,304)] | $764 ($412$1,100) [n=2,186] | <0.001 |
DISCUSSION
We described the content and association of CPGs with management of the febrile infant 56 days of age across a large sample of children's hospitals. Nearly two‐thirds of included pediatric EDs have a CPG for the management of young febrile infants. Management of febrile infants 28 days was uniform, with a majority hospitalized after urine, blood, and CSF testing regardless of the presence of a CPG. In contrast, CPGs for infants 29 to 56 days of age varied in their recommendations for CSF testing as well as ceftriaxone use for infants discharged from the ED. Consequently, we observed considerable hospital variability in CSF testing and ceftriaxone use for discharged infants, which correlates with variation in the presence and content of CPGs. Institutional CPGs may be a source of the across‐hospital variation in care of febrile young infants observed in prior study.[9]
Febrile infants 28 days of age are at particularly high risk for SBI, with a prevalence of nearly 20% or higher.[2, 3, 29] The high prevalence of SBI, combined with the inherent difficulty in distinguishing neonates with and without SBI,[2, 30] has resulted in uniform CPG recommendations to perform the full‐sepsis workup in this young age group. Similar to prior studies,[8, 9] we observed that most febrile infants 28 days undergo the full sepsis evaluation, including CSF testing, and are hospitalized regardless of the presence of a CPG.
However, given the conflicting recommendations for febrile infants 29 to 56 days of age,[4, 5, 6] the optimal management strategy is less certain.[7] The Rochester, Philadelphia, and Boston criteria, 3 published models to identify infants at low risk for SBI, primarily differ in their recommendations for CSF testing and ceftriaxone use in this age group.[4, 5, 6] Half of the CPGs recommended CSF testing for all febrile infants, and half recommended CSF testing only if the infant was high risk. Institutional guidelines that recommended selective CSF testing for febrile infants aged 29 to 56 days were associated with lower rates of CSF testing. Furthermore, ceftriaxone use varied based on CPG recommendations for low‐risk infants discharged from the ED. Therefore, the influence of febrile infant CPGs mainly relates to the limiting of CSF testing and targeted ceftriaxone use in low‐risk infants. As the rate of return visits for SBI is low across hospitals, future study should assess outcomes at hospitals with CPGs recommending selective CSF testing. Of note, infants 29 to 56 days of age were less likely to be hospitalized when cared for at a hospital with an established CPG prior to 2013 without increase in 3‐day revisits for SBI. This finding may indicate that longer duration of CPG implementation is associated with lower rates of hospitalization for low‐risk infants; this finding merits further study.
The presence of a CPG was not associated with lower costs for febrile infants in either age group. Although individual healthcare systems have achieved lower costs with CPG implementation,[12] the mere presence of a CPG is not associated with lower costs when assessed across institutions. Higher costs for admitted and discharged infants 29 to 56 days of age in the presence of a CPG likely reflects the higher rate of CSF testing at hospitals whose CPGs recommend testing for all febrile infants, as well as inpatient management strategies for hospitalized infants not captured in our study. Future investigation should include an assessment of the cost‐effectiveness of the various testing and treatment strategies employed for the febrile young infant.
Our study has several limitations. First, the validity of ICD‐9 diagnosis codes for identifying young infants with fever is not well established, and thus our study is subject to misclassification bias. To minimize missed patients, we included infants with either an ICD‐9 admission or discharge diagnosis of fever; however, utilization of diagnosis codes for patient identification may have resulted in undercapture of infants with a measured temperature of 38.0C. It is also possible that some patients who did not undergo testing were misclassified as having a fever or had temperatures below standard thresholds to prompt diagnostic testing. This is a potential reason that testing was not performed in 100% of infants, even at hospitals with CPGs that recommended testing for all patients. Additionally, some febrile infants diagnosed with SBI may not have an associated ICD‐9 diagnosis code for fever. Although the overall SBI rate observed in our study was similar to prior studies,[4, 31] the rate in neonates 28 days of age was lower than reported in recent investigations,[2, 3] which may indicate inclusion of a higher proportion of low‐risk febrile infants. With the exception of bronchiolitis, we also did not assess diagnostic testing in the presence of other identified sources of infection such as herpes simplex virus.
Second, we were unable to assess the presence or absence of a CPG at the 4 excluded EDs that did not respond to the survey or the institutions excluded for data‐quality issues. However, included and excluded hospitals did not differ in region or annual ED volume (data not shown).
Third, although we classified hospitals based upon the presence and content of CPGs, we were unable to fully evaluate adherence to the CPG at each site.
Last, though PHIS hospitals represent 85% of freestanding children's hospitals, many febrile infants are hospitalized at non‐PHIS institutions; our results may not be generalizable to care provided at nonchildren's hospitals.
CONCLUSIONS
Management of febrile neonates 28 days of age does not vary based on CPG presence. However, CPGs for the febrile infant aged 29 to 56 days vary in recommendations for CSF testing as well as ceftriaxone use for low‐risk patients, which significantly contributes to practice variation and healthcare costs across institutions.
Acknowledgements
The Febrile Young Infant Research Collaborative includes the following additional investigators who are acknowledged for their work on this study: Kao‐Ping Chua, MD, Harvard PhD Program in Health Policy, Harvard University, Cambridge, Massachusetts, and Division of Emergency Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, Massachusetts; Elana A. Feldman, BA, University of Washington School of Medicine, Seattle, Washington; and Katie L. Hayes, BS, Division of Emergency Medicine, Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Disclosures
This project was funded in part by The Gerber Foundation Novice Researcher Award (Ref #18273835). Dr. Fran Balamuth received career development support from the National Institutes of Health (NHLBI K12‐HL109009). Funders were not involved in design or conduct of the study; collection, management, analysis, or interpretation of the data; preparation, review, or approval of the manuscript. The authors have no financial relationships relevant to this article to disclose. No payment was received for the production of this article. The authors have no conflicts of interest relevant to this article to disclose.
Febrile young infants are at high risk for serious bacterial infection (SBI) with reported rates of 8.5% to 12%, even higher in neonates 28 days of age.[1, 2, 3] As a result, febrile infants often undergo extensive diagnostic evaluation consisting of a combination of urine, blood, and cerebrospinal fluid (CSF) testing.[4, 5, 6] Several clinical prediction algorithms use this diagnostic testing to identify febrile infants at low risk for SBI, but they differ with respect to age range, recommended testing, antibiotic administration, and threshold for hospitalization.[4, 5, 6] Additionally, the optimal management strategy for this population has not been defined.[7] Consequently, laboratory testing, antibiotic use, and hospitalization for febrile young infants vary widely among hospitals.[8, 9, 10]
Clinical practice guidelines (CPGs) are designed to implement evidence‐based care and reduce practice variability, with the goal of improving quality of care and optimizing costs.[11] Implementation of a CPG for management of febrile young infants in the Intermountain Healthcare System was associated with greater adherence to evidence‐based care and lower costs.[12] However, when strong evidence is lacking, different interpretations of febrile infant risk classification incorporated into local CPGs may be a major driver of the across‐hospital practice variation observed in prior studies.[8, 9] Understanding sources of variability as well as determining the association of CPGs with clinicians' practice patterns can help identify quality improvement opportunities, either through national benchmarking or local efforts.
Our primary objectives were to compare (1) recommendations of pediatric emergency departmentbased institutional CPGs for febrile young infants and (2) rates of urine, blood, CSF testing, hospitalization, and ceftriaxone use at emergency department (ED) discharge based upon CPG presence and the specific CPG recommendations. Our secondary objectives were to describe the association of CPGs with healthcare costs and return visits for SBI.
METHODS
Study Design
We used the Pediatric Health Information System (PHIS) to identify febrile infants 56 days of age who presented to the ED between January 1, 2013 and December 31, 2013. We also surveyed ED providers at participating PHIS hospitals. Informed consent was obtained from survey respondents. The institutional review board at Boston Children's Hospital approved the study protocol.
Clinical Practice Guideline Survey
We sent an electronic survey to medical directors or division directors at 37 pediatric EDs to determine whether their ED utilized a CPG for the management of the febrile young infant in 2013. If no response was received after the second attempt, we queried ED fellowship directors or other ED attending physicians at nonresponding hospitals. Survey items included the presence of a febrile young infant CPG, and if present, the year of implementation, ages targeted, and CPG content. As applicable, respondents were asked to share their CPG and/or provide the specific CPG recommendations.
We collected and managed survey data using the Research Electronic Data Capture (REDCap) electronic data capture tools hosted at Boston Children's Hospital. REDCap is a secure, Web‐based application designed to support data capture for research studies.[13]
Data Source
The PHIS database contains administrative data from 44 US children's hospitals. These hospitals, affiliated with the Children's Hospital Association, represent 85% of freestanding US children's hospitals.[14] Encrypted patient identifiers permit tracking of patients across encounters.[15] Data quality and integrity are assured jointly by the Children's Hospital Association and participating hospitals.[16] For this study, 7 hospitals were excluded due to incomplete ED data or known data‐quality issues.[17]
Patients
We identified study infants using the following International Classification of Diseases, 9th Revision (ICD‐9) admission or discharge diagnosis codes for fever as defined previously[8, 9]: 780.6, 778.4, 780.60, or 780.61. We excluded infants with a complex chronic condition[18] and those transferred from another institution, as these infants may warrant a nonstandard evaluation and/or may have incomplete data. For infants with >1 ED visit for fever during the study period, repeat visits within 3 days of an index visit were considered a revisit for the same episode of illness; visits >3 days following an index visit were considered as a new index visit.
Study Definitions
From the PHIS database, we abstracted demographic characteristics (gender, race/ethnicity), insurance status, and region where the hospital was located (using US Census categories[19]). Billing codes were used to assess whether urine, blood, and CSF testing (as defined previously[9]) were performed during the ED evaluation. To account for ED visits that spanned the midnight hour, for hospitalized patients we considered any testing or treatment occurring on the initial or second hospital day to be performed in the ED; billing code data in PHIS are based upon calendar day and do not distinguish testing performed in the ED versus inpatient setting.[8, 9] Patients billed for observation care were classified as being hospitalized.[20, 21]
We identified the presence of an SBI using ICD‐9 diagnosis codes for the following infections as described previously[9]: urinary tract infection or pyelonephritis,[22] bacteremia or sepsis, bacterial meningitis,[16] pneumonia,[23] or bacterial enteritis. To assess return visits for SBI that required inpatient management, we defined an ED revisit for an SBI as a return visit within 3 days of ED discharge[24, 25] that resulted in hospitalization with an associated ICD‐9 discharge diagnosis code for an SBI.
Hospitals charges in PHIS database were adjusted for hospital location by using the Centers for Medicare and Medicaid Services price/wage index. Costs were estimated by applying hospital‐level cost‐to‐charge ratios to charge data.[26]
Measured Exposures
The primary exposure was the presence of an ED‐based CPG for management of the febrile young infant aged 28 days and 29 to 56 days; 56 days was used as the upper age limit as all of the CPGs included infants up to this age or beyond. Six institutions utilized CPGs with different thresholds to define the age categories (eg, dichotomized at 27 or 30 days); these CPGs were classified into the aforementioned age groups to permit comparisons across standardized age groups. We classified institutions based on the presence of a CPG. To assess differences in the application of low‐risk criteria, the CPGs were further classified a priori based upon specific recommendations around laboratory testing and hospitalization, as well as ceftriaxone use for infants aged 29 to 56 days discharged from the ED. CPGs were categorized based upon whether testing, hospitalization, and ceftriaxone use were: (1) recommended for all patients, (2) recommended only if patients were classified as high risk (absence of low‐risk criteria), (3) recommended against, or (4) recommended to consider at clinician discretion.
Outcome Measures
Measured outcomes were performance of urine, blood, CSF testing, and hospitalization rate, as well as rate of ceftriaxone use for discharged infants aged 29 to 56 days, 3‐day revisits for SBI, and costs per visit, which included hospitalization costs for admitted patients.
Data Analysis
We described continuous variables using median and interquartile range or range values and categorical variables using frequencies. We compared medians using Wilcoxon rank sum and categorical variables using a [2] test. We compared rates of testing, hospitalization, ceftriaxone use, and 3‐day revisits for SBI based on the presence of a CPG, and when present, the specific CPG recommendations. Costs per visit were compared between institutions with and without CPGs and assessed separately for admitted and discharged patients. To adjust for potential confounders and clustering of patients within hospitals, we used generalized estimating equations with logistic regression to generate adjusted odd ratios (aORs) and 95% confidence intervals (CIs). Models were adjusted for geographic region, payer, race, and gender. Statistical analyses were performed by using SAS version 9.3 (SAS Institute, Cary, NC). We determined statistical significance as a 2‐tailed P value <0.05.
Febrile infants with bronchiolitis or a history of prematurity may be managed differently from full‐term febrile young infants without bronchiolitis.[6, 27] Therefore, we performed a subgroup analysis after exclusion of infants with an ICD‐9 discharge diagnosis code for bronchiolitis (466.11 and 466.19)[28] or prematurity (765).
Because our study included ED encounters in 2013, we repeated our analyses after exclusion of hospitals with CPGs implemented during the 2013 calendar year.
RESULTS
CPG by Institution
Thirty‐three (89.2%) of the 37 EDs surveyed completed the questionnaire. Overall, 21 (63.6%) of the 33 EDs had a CPG; 15 (45.5%) had a CPG for all infants 56 days of age, 5 (15.2%) had a CPG for infants 28 days only, and 1 (3.0%) had a CPG for infants 29 to 56 days but not 28 days of age (Figure 1). Seventeen EDs had an established CPG prior to 2013, and 4 hospitals implemented a CPG during the 2013 calendar year, 2 with CPGs for neonates 28 days and 2 with CPGs for both 28 days and 29 to 56 days of age. Hospitals with CPGs were more likely to be located in the Northeast and West regions of the United States and provide care to a higher proportion of non‐Hispanic white patients, as well as those with commercial insurance (Table 1).

Characteristic | 28 Days | 2956 Days | ||||
---|---|---|---|---|---|---|
No CPG, n=996, N (%) | CPG, n=2,149, N (%) | P Value | No CPG, n=2,460, N (%) | CPG, n=3,772, N (%) | P Value | |
| ||||||
Race | ||||||
Non‐Hispanic white | 325 (32.6) | 996 (46.3) | 867 (35.2) | 1,728 (45.8) | ||
Non‐Hispanic black | 248 (24.9) | 381 (17.7) | 593 (24.1) | 670 (17.8) | ||
Hispanic | 243 (24.4) | 531 (24.7) | 655 (26.6) | 986 (26.1) | ||
Asian | 28 (2.8) | 78 (3.6) | 40 (1.6) | 122 (3.2) | ||
Other Race | 152 (15.3) | 163 (7.6) | <0.001 | 305 (12.4) | 266 (7.1) | <0.001 |
Gender | ||||||
Female | 435 (43.7) | 926 (43.1) | 0.76 | 1,067 (43.4) | 1,714 (45.4) | 0.22 |
Payer | ||||||
Commercial | 243 (24.4) | 738 (34.3) | 554 (22.5) | 1,202 (31.9) | ||
Government | 664 (66.7) | 1,269 (59.1) | 1,798 (73.1) | 2,342 (62.1) | ||
Other payer | 89 (8.9) | 142 (6.6) | <0.001 | 108 (4.4) | 228 (6.0) | <0.001 |
Region | ||||||
Northeast | 39 (3.9) | 245 (11.4) | 77 (3.1) | 572 (15.2) | ||
South | 648 (65.1) | 915 (42.6) | 1,662 (67.6) | 1,462 (38.8) | ||
Midwest | 271 (27.2) | 462 (21.5) | 506 (20.6) | 851 (22.6) | ||
West | 38 (3.8) | 527 (24.5) | <0.001 | 215 (8.7) | 887 (23.5) | <0.001 |
Serious bacterial infection | ||||||
Overall* | 131 (13.2) | 242 (11.3) | 0.14 | 191 (7.8) | 237 (6.3) | 0.03 |
UTI/pyelonephritis | 73 (7.3) | 153 (7.1) | 103 (4.2) | 154 (4.1) | ||
Bacteremia/sepsis | 56 (5.6) | 91 (4.2) | 78 (3.2) | 61 (1.6) | ||
Bacterial meningitis | 15 (1.5) | 15 (0.7) | 4 (0.2) | 14 (0.4) | ||
Age, d, median (IQR) | 18 (11, 24) | 18 (11, 23) | 0.67 | 46 (37, 53) | 45 (37, 53) | 0.11 |
All 20 CPGs for the febrile young infant 28 days of age recommended urine, blood, CSF testing, and hospitalization for all infants (Figure 1). Of the 16 hospitals with CPGs for febrile infants aged 29 to 56 days, all recommended urine and blood testing for all patients, except for 1 CPG, which recommended consideration of blood testing but not to obtain routinely. Hospitals varied in recommendations for CSF testing among infants aged 29 to 56 days: 8 (50%) recommended CSF testing in all patients and 8 (50%) recommended CSF testing only if the patient was high risk per defined criteria (based on history, physical examination, urine, and blood testing). In all 16 CPGs, hospitalization was recommended only for high‐risk infants. For low‐risk infants aged 2956 days being discharged from the ED, 3 hospitals recommended ceftriaxone for all, 9 recommended consideration of ceftriaxone, and 4 recommended against antibiotics (Figure 1).
Study Patients
During the study period, there were 10,415 infants 56 days old with a diagnosis of fever at the 33 participating hospitals. After exclusion of 635 (6.1%) infants with a complex chronic condition and 445 (4.3%) transferred from another institution (including 42 with a complex chronic condition), 9377 infants remained in our study cohort. Approximately one‐third of the cohort was 28 days of age and two‐thirds aged 29 to 56 days. The overall SBI rate was 8.5% but varied by age (11.9% in infants 28 days and 6.9% in infants 29 to 56 days of age) (Table 1).
CPGs and Use of Diagnostic Testing, Hospitalization Rates, Ceftriaxone Use, and Revisits for SBI
For infants 28 days of age, the presence of a CPG was not associated with urine, blood, CSF testing, or hospitalization after multivariable adjustment (Table 2). Among infants aged 29 to 56 days, urine testing did not differ based on the presence of a CPG, whereas blood testing was performed less often at the 1 hospital whose CPG recommended to consider, but not routinely obtain, testing (aOR: 0.4, 95% CI: 0.3‐0.7, P=0.001). Compared to hospitals without a CPG, CSF testing was performed less often at hospitals with CPG recommendations to only obtain CSF if high risk (aOR: 0.5, 95% CI: 0.3‐0.8, P=0.002). However, the odds of hospitalization did not differ at institutions with and without a febrile infant CPG (aOR: 0.7, 95% CI: 0.5‐1.1, P=0.10). For infants aged 29 to 56 days discharged from the ED, ceftriaxone was administered more often at hospitals with CPGs that recommended ceftriaxone for all discharged patients (aOR: 4.6, 95% CI: 2.39.3, P<0.001) and less often at hospitals whose CPGs recommended against antibiotics (aOR: 0.3, 95% CI: 0.1‐0.9, P=0.03) (Table 3). Our findings were similar in the subgroup of infants without bronchiolitis or prematurity (see Supporting Tables 1 and 2 in the online version of this article). After exclusion of hospitals with a CPG implemented during the 2013 calendar year (4 hospitals excluded in the 28 days age group and 2 hospitals excluded in the 29 to 56 days age group), infants aged 29 to 56 days cared for at a hospital with a CPG experienced a lower odds of hospitalization (aOR: 0.7, 95% CI: 0.4‐0.98, P=0.04). Otherwise, our findings in both age groups did not materially differ from the main analyses.
Testing/Hospitalization | No. of Hospitals | No. of Patients | % Received* | aOR (95% CI) | P Value |
---|---|---|---|---|---|
| |||||
Laboratory testing | |||||
Urine testing | |||||
No CPG | 13 | 996 | 75.6 | Ref | |
CPG: recommend for all | 20 | 2,149 | 80.7 | 1.2 (0.9‐1.7) | 0.22 |
Blood testing | |||||
No CPG | 13 | 996 | 76.9 | Ref | |
CPG: recommend for all | 20 | 2,149 | 81.8 | 1.2 (0.9‐1.7) | 0.25 |
CSF testing‖ | |||||
No CPG | 13 | 996 | 71.0 | Ref | |
CPG: recommend for all | 20 | 2,149 | 77.5 | 1.3 (1.01.7) | 0.08 |
Disposition | |||||
Hospitalization | |||||
No CPG | 13 | 996 | 75.4 | Ref | |
CPG: recommend for all | 20 | 2,149 | 81.6 | 1.2 (0.9‐1.8) | 0.26 |
Testing/Hospitalization | No. of Hospitals | No. of Patients | % Received* | aOR (95% CI) | P Value |
---|---|---|---|---|---|
| |||||
Laboratory resting | |||||
Urine testing | |||||
No CPG | 17 | 2,460 | 81.1 | Ref | |
CPG: recommend for all | 16 | 3,772 | 82.1 | 0.9 (0.7‐1.4) | 0.76 |
Blood testing | |||||
No CPG | 17 | 2,460 | 79.4 | Ref | |
CPG: recommend for all | 15 | 3,628 | 82.6 | 1.1 (0.7‐1.6) | 0.70 |
CPG: recommend consider | 1 | 144 | 62.5 | 0.4 (0.3‐0.7) | 0.001 |
CSF testing‖ | |||||
No CPG | 17 | 2,460 | 46.3 | Ref | |
CPG: recommend for all | 8 | 1,517 | 70.3 | 1.3 (0.9‐1.9) | 0.11 |
CPG: recommend if high‐risk | 8 | 2,255 | 39.9 | 0.5 (0.3‐0.8) | 0.002 |
Disposition | |||||
Hospitalization | |||||
No CPG | 17 | 2,460 | 47.0 | Ref | |
CPG: recommend if high‐risk | 16 | 3,772 | 42.0 | 0.7 (0.5‐1.1) | 0.10 |
Ceftriaxone if discharged | |||||
No CPG | 17 | 1,304 | 11.7 | Ref | |
CPG: recommend against | 4 | 313 | 10.9 | 0.3 (0.1‐0.9) | 0.03 |
CPG: recommend consider | 9 | 1,567 | 14.4 | 1.5 (0.9‐2.4) | 0.09 |
CPG: recommend for all | 3 | 306 | 64.1 | 4.6 (2.39.3) | < 0.001 |
Three‐day revisits for SBI were similarly low at hospitals with and without CPGs among infants 28 days (1.5% vs 0.8%, P=0.44) and 29 to 56 days of age (1.4% vs 1.1%, P=0.44) and did not differ after exclusion of hospitals with a CPG implemented in 2013.
CPGs and Costs
Among infants 28 days of age, costs per visit did not differ for admitted and discharged patients based on CPG presence. The presence of an ED febrile infant CPG was associated with higher costs for both admitted and discharged infants 29 to 56 days of age (Table 4). The cost analysis did not significantly differ after exclusion of hospitals with CPGs implemented in 2013.
28 Days, Cost, Median (IQR) | 29 to 56 Days, Cost, Median (IQR) | |||||
---|---|---|---|---|---|---|
No CPG | CPG | P Value | No CPG | CPG | P Value | |
| ||||||
Admitted | $4,979 ($3,408$6,607) [n=751] | $4,715 ($3,472$6,526) [n=1,753] | 0.79 | $3,756 ($2,725$5,041) [n=1,156] | $3,923 ($3,077$5,243) [n=1,586] | <0.001 |
Discharged | $298 ($166$510) [n=245] | $231 ($160$464) [n=396] | 0.10 | $681($398$982) [n=1,304)] | $764 ($412$1,100) [n=2,186] | <0.001 |
DISCUSSION
We described the content and association of CPGs with management of the febrile infant 56 days of age across a large sample of children's hospitals. Nearly two‐thirds of included pediatric EDs have a CPG for the management of young febrile infants. Management of febrile infants 28 days was uniform, with a majority hospitalized after urine, blood, and CSF testing regardless of the presence of a CPG. In contrast, CPGs for infants 29 to 56 days of age varied in their recommendations for CSF testing as well as ceftriaxone use for infants discharged from the ED. Consequently, we observed considerable hospital variability in CSF testing and ceftriaxone use for discharged infants, which correlates with variation in the presence and content of CPGs. Institutional CPGs may be a source of the across‐hospital variation in care of febrile young infants observed in prior study.[9]
Febrile infants 28 days of age are at particularly high risk for SBI, with a prevalence of nearly 20% or higher.[2, 3, 29] The high prevalence of SBI, combined with the inherent difficulty in distinguishing neonates with and without SBI,[2, 30] has resulted in uniform CPG recommendations to perform the full‐sepsis workup in this young age group. Similar to prior studies,[8, 9] we observed that most febrile infants 28 days undergo the full sepsis evaluation, including CSF testing, and are hospitalized regardless of the presence of a CPG.
However, given the conflicting recommendations for febrile infants 29 to 56 days of age,[4, 5, 6] the optimal management strategy is less certain.[7] The Rochester, Philadelphia, and Boston criteria, 3 published models to identify infants at low risk for SBI, primarily differ in their recommendations for CSF testing and ceftriaxone use in this age group.[4, 5, 6] Half of the CPGs recommended CSF testing for all febrile infants, and half recommended CSF testing only if the infant was high risk. Institutional guidelines that recommended selective CSF testing for febrile infants aged 29 to 56 days were associated with lower rates of CSF testing. Furthermore, ceftriaxone use varied based on CPG recommendations for low‐risk infants discharged from the ED. Therefore, the influence of febrile infant CPGs mainly relates to the limiting of CSF testing and targeted ceftriaxone use in low‐risk infants. As the rate of return visits for SBI is low across hospitals, future study should assess outcomes at hospitals with CPGs recommending selective CSF testing. Of note, infants 29 to 56 days of age were less likely to be hospitalized when cared for at a hospital with an established CPG prior to 2013 without increase in 3‐day revisits for SBI. This finding may indicate that longer duration of CPG implementation is associated with lower rates of hospitalization for low‐risk infants; this finding merits further study.
The presence of a CPG was not associated with lower costs for febrile infants in either age group. Although individual healthcare systems have achieved lower costs with CPG implementation,[12] the mere presence of a CPG is not associated with lower costs when assessed across institutions. Higher costs for admitted and discharged infants 29 to 56 days of age in the presence of a CPG likely reflects the higher rate of CSF testing at hospitals whose CPGs recommend testing for all febrile infants, as well as inpatient management strategies for hospitalized infants not captured in our study. Future investigation should include an assessment of the cost‐effectiveness of the various testing and treatment strategies employed for the febrile young infant.
Our study has several limitations. First, the validity of ICD‐9 diagnosis codes for identifying young infants with fever is not well established, and thus our study is subject to misclassification bias. To minimize missed patients, we included infants with either an ICD‐9 admission or discharge diagnosis of fever; however, utilization of diagnosis codes for patient identification may have resulted in undercapture of infants with a measured temperature of 38.0C. It is also possible that some patients who did not undergo testing were misclassified as having a fever or had temperatures below standard thresholds to prompt diagnostic testing. This is a potential reason that testing was not performed in 100% of infants, even at hospitals with CPGs that recommended testing for all patients. Additionally, some febrile infants diagnosed with SBI may not have an associated ICD‐9 diagnosis code for fever. Although the overall SBI rate observed in our study was similar to prior studies,[4, 31] the rate in neonates 28 days of age was lower than reported in recent investigations,[2, 3] which may indicate inclusion of a higher proportion of low‐risk febrile infants. With the exception of bronchiolitis, we also did not assess diagnostic testing in the presence of other identified sources of infection such as herpes simplex virus.
Second, we were unable to assess the presence or absence of a CPG at the 4 excluded EDs that did not respond to the survey or the institutions excluded for data‐quality issues. However, included and excluded hospitals did not differ in region or annual ED volume (data not shown).
Third, although we classified hospitals based upon the presence and content of CPGs, we were unable to fully evaluate adherence to the CPG at each site.
Last, though PHIS hospitals represent 85% of freestanding children's hospitals, many febrile infants are hospitalized at non‐PHIS institutions; our results may not be generalizable to care provided at nonchildren's hospitals.
CONCLUSIONS
Management of febrile neonates 28 days of age does not vary based on CPG presence. However, CPGs for the febrile infant aged 29 to 56 days vary in recommendations for CSF testing as well as ceftriaxone use for low‐risk patients, which significantly contributes to practice variation and healthcare costs across institutions.
Acknowledgements
The Febrile Young Infant Research Collaborative includes the following additional investigators who are acknowledged for their work on this study: Kao‐Ping Chua, MD, Harvard PhD Program in Health Policy, Harvard University, Cambridge, Massachusetts, and Division of Emergency Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, Massachusetts; Elana A. Feldman, BA, University of Washington School of Medicine, Seattle, Washington; and Katie L. Hayes, BS, Division of Emergency Medicine, Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Disclosures
This project was funded in part by The Gerber Foundation Novice Researcher Award (Ref #18273835). Dr. Fran Balamuth received career development support from the National Institutes of Health (NHLBI K12‐HL109009). Funders were not involved in design or conduct of the study; collection, management, analysis, or interpretation of the data; preparation, review, or approval of the manuscript. The authors have no financial relationships relevant to this article to disclose. No payment was received for the production of this article. The authors have no conflicts of interest relevant to this article to disclose.
- Performance of low‐risk criteria in the evaluation of young infants with fever: review of the literature. Pediatrics. 2010;125:228–233. , , .
- A week‐by‐week analysis of the low‐risk criteria for serious bacterial infection in febrile neonates. Arch Dis Child. 2009;94:287–292. , , , , , .
- Is 15 days an appropriate cut‐off age for considering serious bacterial infection in the management of febrile infants? Pediatr Infect Dis J. 2012;31:455–458. , , , et al.
- Outpatient management without antibiotics of fever in selected infants. N Engl J Med. 1993;329:1437–1441. , , .
- Identifying febrile infants at risk for a serious bacterial infection. J Pediatr. 1993;123:489–490. , , .
- Febrile infants at low risk for serious bacterial infection—an appraisal of the Rochester criteria and implications for management. Febrile Infant Collaborative Study Group. Pediatrics. 1994;94:390–396. , , , et al.
- American College of Emergency Physicians Clinical Policies Committee; American College of Emergency Physicians Clinical Policies Subcommittee on Pediatric Fever. Clinical policy for children younger than three years presenting to the emergency department with fever. Ann Emerg Med. 2003;42:530–545.
- Management of febrile neonates in US pediatric emergency departments. Pediatrics. 2014;133:187–195. , , , et al.
- Variation in care of the febrile young infant <90 days in US pediatric emergency departments. Pediatrics. 2014;134:667–677. , , , et al.
- Fever survey highlights significant variations in how infants aged ≤60 days are evaluated and underline the need for guidelines. Acta Paediatr. 2014;103:379–385. , , , , .
- Evidence‐based guidelines and critical pathways for quality improvement. Pediatrics. 1999;103:225–232. .
- Costs and infant outcomes after implementation of a care process model for febrile infants. Pediatrics. 2012;130:e16–e24. , , , et al.
- Research electronic data capture (REDCap)—a metadata‐driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42:377–381. , , , , , .
- Variation in occult injury screening for children with suspected abuse in selected US children's hospitals. Pediatrics. 2012;130:853–860. , , , , , .
- Achieving data quality. How data from a pediatric health information system earns the trust of its users. J AHIMA. 2004;75:22–26. .
- Corticosteroids and mortality in children with bacterial meningitis. JAMA. 2008;299:2048–2055. , , , .
- Variation in resource utilization across a national sample of pediatric emergency departments. J Pediatr. 2013;163:230–236. , , , et al.
- Deaths attributed to pediatric complex chronic conditions: national trends and implications for supportive care services. Pediatrics. 2001;107:E99. , , , , , .
- US Census Bureau. Geographic terms and concepts—census divisions and census regions. Available at: https://www.census.gov/geo/reference/gtc/gtc_census_divreg.html. Accessed September 10, 2014.
- Pediatric observation status: are we overlooking a growing population in children's hospitals? J Hosp Med. 2012;7:530–536. , , , et al.
- Differences in designations of observation care in US freestanding children's hospitals: are they virtual or real? J Hosp Med. 2012;7:287–293. , , , et al.
- Accuracy of administrative billing codes to detect urinary tract infection hospitalizations. Pediatrics. 2011;128:323–330. , , , et al.
- Identifying pediatric community‐acquired pneumonia hospitalizations: accuracy of administrative billing codes. JAMA Pediatr. 2013;167:851–858. , , , et al.
- Initial emergency department diagnosis and return visits: risk versus perception. Ann Emerg Med. 1998;32:569–573. , , , .
- A national depiction of children with return visits to the emergency department within 72 hours, 2001–2007. Pediatr Emerg Care. 2012;28:606–610. , , , , .
- Healthcare Cost and Utilization Project. Cost‐to‐charge ratio files. Available at: http://www.hcup‐us.ahrq.gov/db/state/costtocharge.jsp. Accessed September 11, 2014.
- Risk of serious bacterial infection in young febrile infants with respiratory syncytial virus infections. Pediatrics. 2004;113:1728–1734. , , , et al.
- Establishing benchmarks for the hospitalized care of children with asthma, bronchiolitis, and pneumonia. Pediatrics. 2014;134:555–562. , , , et al.
- Well appearing young infants with fever without known source in the emergency department: are lumbar punctures always necessary? Eur J Emerg Med. 2010;17:167–169. , , , , , .
- Unpredictability of serious bacterial illness in febrile infants from birth to 1 month of age. Arch Pediatr Adolesc Med. 1999;153:508–511. , .
- Management and outcomes of care of fever in early infancy. JAMA. 2004;291:1203–1212. , , , et al.
- Performance of low‐risk criteria in the evaluation of young infants with fever: review of the literature. Pediatrics. 2010;125:228–233. , , .
- A week‐by‐week analysis of the low‐risk criteria for serious bacterial infection in febrile neonates. Arch Dis Child. 2009;94:287–292. , , , , , .
- Is 15 days an appropriate cut‐off age for considering serious bacterial infection in the management of febrile infants? Pediatr Infect Dis J. 2012;31:455–458. , , , et al.
- Outpatient management without antibiotics of fever in selected infants. N Engl J Med. 1993;329:1437–1441. , , .
- Identifying febrile infants at risk for a serious bacterial infection. J Pediatr. 1993;123:489–490. , , .
- Febrile infants at low risk for serious bacterial infection—an appraisal of the Rochester criteria and implications for management. Febrile Infant Collaborative Study Group. Pediatrics. 1994;94:390–396. , , , et al.
- American College of Emergency Physicians Clinical Policies Committee; American College of Emergency Physicians Clinical Policies Subcommittee on Pediatric Fever. Clinical policy for children younger than three years presenting to the emergency department with fever. Ann Emerg Med. 2003;42:530–545.
- Management of febrile neonates in US pediatric emergency departments. Pediatrics. 2014;133:187–195. , , , et al.
- Variation in care of the febrile young infant <90 days in US pediatric emergency departments. Pediatrics. 2014;134:667–677. , , , et al.
- Fever survey highlights significant variations in how infants aged ≤60 days are evaluated and underline the need for guidelines. Acta Paediatr. 2014;103:379–385. , , , , .
- Evidence‐based guidelines and critical pathways for quality improvement. Pediatrics. 1999;103:225–232. .
- Costs and infant outcomes after implementation of a care process model for febrile infants. Pediatrics. 2012;130:e16–e24. , , , et al.
- Research electronic data capture (REDCap)—a metadata‐driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42:377–381. , , , , , .
- Variation in occult injury screening for children with suspected abuse in selected US children's hospitals. Pediatrics. 2012;130:853–860. , , , , , .
- Achieving data quality. How data from a pediatric health information system earns the trust of its users. J AHIMA. 2004;75:22–26. .
- Corticosteroids and mortality in children with bacterial meningitis. JAMA. 2008;299:2048–2055. , , , .
- Variation in resource utilization across a national sample of pediatric emergency departments. J Pediatr. 2013;163:230–236. , , , et al.
- Deaths attributed to pediatric complex chronic conditions: national trends and implications for supportive care services. Pediatrics. 2001;107:E99. , , , , , .
- US Census Bureau. Geographic terms and concepts—census divisions and census regions. Available at: https://www.census.gov/geo/reference/gtc/gtc_census_divreg.html. Accessed September 10, 2014.
- Pediatric observation status: are we overlooking a growing population in children's hospitals? J Hosp Med. 2012;7:530–536. , , , et al.
- Differences in designations of observation care in US freestanding children's hospitals: are they virtual or real? J Hosp Med. 2012;7:287–293. , , , et al.
- Accuracy of administrative billing codes to detect urinary tract infection hospitalizations. Pediatrics. 2011;128:323–330. , , , et al.
- Identifying pediatric community‐acquired pneumonia hospitalizations: accuracy of administrative billing codes. JAMA Pediatr. 2013;167:851–858. , , , et al.
- Initial emergency department diagnosis and return visits: risk versus perception. Ann Emerg Med. 1998;32:569–573. , , , .
- A national depiction of children with return visits to the emergency department within 72 hours, 2001–2007. Pediatr Emerg Care. 2012;28:606–610. , , , , .
- Healthcare Cost and Utilization Project. Cost‐to‐charge ratio files. Available at: http://www.hcup‐us.ahrq.gov/db/state/costtocharge.jsp. Accessed September 11, 2014.
- Risk of serious bacterial infection in young febrile infants with respiratory syncytial virus infections. Pediatrics. 2004;113:1728–1734. , , , et al.
- Establishing benchmarks for the hospitalized care of children with asthma, bronchiolitis, and pneumonia. Pediatrics. 2014;134:555–562. , , , et al.
- Well appearing young infants with fever without known source in the emergency department: are lumbar punctures always necessary? Eur J Emerg Med. 2010;17:167–169. , , , , , .
- Unpredictability of serious bacterial illness in febrile infants from birth to 1 month of age. Arch Pediatr Adolesc Med. 1999;153:508–511. , .
- Management and outcomes of care of fever in early infancy. JAMA. 2004;291:1203–1212. , , , et al.
© 2015 Society of Hospital Medicine