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Test predicts response to GVHD treatment
A newly developed algorithm could enable risk-adapted therapy for graft-vs-host disease (GVHD), researchers have reported in Lancet Haematology.
The problem with treating GVHD, the team said, is that the severity of symptoms at disease onset does not accurately define risk.
Patients with low-risk GVHD are often overtreated and experience significant side effects, while patients with high-risk GVHD can be undertreated and see their GVHD progress.
“Our goal is to provide the right treatment for each patient,” said study author James L. M. Ferrara, MD, DSc, of the Icahn School of Medicine at Mount Sinai.
“We hope to identify those patients at higher risk and design an aggressive intervention while tailoring a less-aggressive approach for those with low-risk.”
With that goal in mind, Dr Ferrara and his colleagues developed and tested a scoring system for GVHD. They collected plasma from 492 patients newly diagnosed with varying grades of GVHD and randomly assigned them to training (n=328) and test (n=164) sets.
The team used the concentrations of 3 validated biomarkers—TNFR1, ST2, and Reg3α—to create an algorithm that calculated the probability of non-relapse mortality (NRM) 6 months after GVHD onset for patients in the training set.
The researchers ranked the probabilities and identified thresholds that created 3 NRM scores. They then tested the algorithm in the test set of patients and a validation cohort of 300 additional patients who were enrolled on trials of GVHD treatment.
Results showed the algorithm works. The cumulative incidence of 6-month NRM significantly increased as the Ann Arbor GVHD score increased, and the response to primary GVHD treatment within 28 days decreased as the GVHD score increased.
In the validation set, the incidence of NRM was 8% for score 1, 27% for score 2, and 46% for score 3 (P<0.0001). Treatment response measured 86% for score 1, 67% for score 2, and 46% for score 3 (P<0.0001).
“This new scoring system will help identify patient who may not respond to standard treatments and may require an experimental and more aggressive approach,” Dr Ferrara said. “And it will also help guide treatment for patients with lower-risk GVHD who may be overtreated. This will allow us to personalize treatment at the onset of the disease. Future algorithms will prove increasingly useful to develop precision medicine for all [stem cell transplant] patients.”
To capitalize on this discovery, Dr Ferrara created the Mount Sinai Acute GVHD International Consortium (MAGIC), which consists of a group of 10 stem cell transplant centers in the US and Europe that will collaborate to use this new scoring system to test new treatments for acute GVHD.
Dr Ferrara and his colleagues have also written a protocol to treat high-risk GVHD that has been approved by the US Food and Drug Administration.
A newly developed algorithm could enable risk-adapted therapy for graft-vs-host disease (GVHD), researchers have reported in Lancet Haematology.
The problem with treating GVHD, the team said, is that the severity of symptoms at disease onset does not accurately define risk.
Patients with low-risk GVHD are often overtreated and experience significant side effects, while patients with high-risk GVHD can be undertreated and see their GVHD progress.
“Our goal is to provide the right treatment for each patient,” said study author James L. M. Ferrara, MD, DSc, of the Icahn School of Medicine at Mount Sinai.
“We hope to identify those patients at higher risk and design an aggressive intervention while tailoring a less-aggressive approach for those with low-risk.”
With that goal in mind, Dr Ferrara and his colleagues developed and tested a scoring system for GVHD. They collected plasma from 492 patients newly diagnosed with varying grades of GVHD and randomly assigned them to training (n=328) and test (n=164) sets.
The team used the concentrations of 3 validated biomarkers—TNFR1, ST2, and Reg3α—to create an algorithm that calculated the probability of non-relapse mortality (NRM) 6 months after GVHD onset for patients in the training set.
The researchers ranked the probabilities and identified thresholds that created 3 NRM scores. They then tested the algorithm in the test set of patients and a validation cohort of 300 additional patients who were enrolled on trials of GVHD treatment.
Results showed the algorithm works. The cumulative incidence of 6-month NRM significantly increased as the Ann Arbor GVHD score increased, and the response to primary GVHD treatment within 28 days decreased as the GVHD score increased.
In the validation set, the incidence of NRM was 8% for score 1, 27% for score 2, and 46% for score 3 (P<0.0001). Treatment response measured 86% for score 1, 67% for score 2, and 46% for score 3 (P<0.0001).
“This new scoring system will help identify patient who may not respond to standard treatments and may require an experimental and more aggressive approach,” Dr Ferrara said. “And it will also help guide treatment for patients with lower-risk GVHD who may be overtreated. This will allow us to personalize treatment at the onset of the disease. Future algorithms will prove increasingly useful to develop precision medicine for all [stem cell transplant] patients.”
To capitalize on this discovery, Dr Ferrara created the Mount Sinai Acute GVHD International Consortium (MAGIC), which consists of a group of 10 stem cell transplant centers in the US and Europe that will collaborate to use this new scoring system to test new treatments for acute GVHD.
Dr Ferrara and his colleagues have also written a protocol to treat high-risk GVHD that has been approved by the US Food and Drug Administration.
A newly developed algorithm could enable risk-adapted therapy for graft-vs-host disease (GVHD), researchers have reported in Lancet Haematology.
The problem with treating GVHD, the team said, is that the severity of symptoms at disease onset does not accurately define risk.
Patients with low-risk GVHD are often overtreated and experience significant side effects, while patients with high-risk GVHD can be undertreated and see their GVHD progress.
“Our goal is to provide the right treatment for each patient,” said study author James L. M. Ferrara, MD, DSc, of the Icahn School of Medicine at Mount Sinai.
“We hope to identify those patients at higher risk and design an aggressive intervention while tailoring a less-aggressive approach for those with low-risk.”
With that goal in mind, Dr Ferrara and his colleagues developed and tested a scoring system for GVHD. They collected plasma from 492 patients newly diagnosed with varying grades of GVHD and randomly assigned them to training (n=328) and test (n=164) sets.
The team used the concentrations of 3 validated biomarkers—TNFR1, ST2, and Reg3α—to create an algorithm that calculated the probability of non-relapse mortality (NRM) 6 months after GVHD onset for patients in the training set.
The researchers ranked the probabilities and identified thresholds that created 3 NRM scores. They then tested the algorithm in the test set of patients and a validation cohort of 300 additional patients who were enrolled on trials of GVHD treatment.
Results showed the algorithm works. The cumulative incidence of 6-month NRM significantly increased as the Ann Arbor GVHD score increased, and the response to primary GVHD treatment within 28 days decreased as the GVHD score increased.
In the validation set, the incidence of NRM was 8% for score 1, 27% for score 2, and 46% for score 3 (P<0.0001). Treatment response measured 86% for score 1, 67% for score 2, and 46% for score 3 (P<0.0001).
“This new scoring system will help identify patient who may not respond to standard treatments and may require an experimental and more aggressive approach,” Dr Ferrara said. “And it will also help guide treatment for patients with lower-risk GVHD who may be overtreated. This will allow us to personalize treatment at the onset of the disease. Future algorithms will prove increasingly useful to develop precision medicine for all [stem cell transplant] patients.”
To capitalize on this discovery, Dr Ferrara created the Mount Sinai Acute GVHD International Consortium (MAGIC), which consists of a group of 10 stem cell transplant centers in the US and Europe that will collaborate to use this new scoring system to test new treatments for acute GVHD.
Dr Ferrara and his colleagues have also written a protocol to treat high-risk GVHD that has been approved by the US Food and Drug Administration.
FDA extends approved use of neutropenia drug
The US Food and Drug Administration (FDA) has approved tbo-filgrastim (Granix) injection for administration by patients and caregivers, allowing physicians to prescribe the drug for in-office or at-home use.
Tbo-filgrastim is a leukocyte growth factor used to reduce the duration of severe neutropenia in patients with non-myeloid malignancies who are receiving myelosuppressive anticancer drugs associated with a clinically significant incidence of febrile neutropenia.
The drug has been commercially available in the US since November 2013, but, at present, it can only be administered by a healthcare professional.
Teva Pharmaceutical Industries, Ltd., the company developing tbo-filgrastim, plans to launch the new syringe for administration by patients and caregivers in early 2015.
Clinical trials
Researchers evaluated tbo-filgrastim in 3 phase 3 trials of patients receiving myelosuppressive chemotherapy for breast cancer, lung cancer, and non-Hodgkin lymphoma (NHL).
In the NHL study, investigators compared tbo-filgrastim to filgrastim for the prevention of chemotherapy-induced neutropenia in 92 patients.
For cycle 1, patients were randomized to daily injections (subcutaneous 5 µg/kg/day) of tbo-filgrastim (n=63) or filgrastim (n=29) for at least 5 days and a maximum of 14 days. In subsequent cycles, all patients received tbo-filgrastim.
In cycle 1, the mean duration of severe neutropenia was 0.5 days in the tbo-filgrastim arm and 0.9 days in the filgrastim arm (P=0.1055). The incidence of febrile neutropenia was 11.1% and 20.7%, respectively (P=0.1232).
In the lung cancer trial, researchers compared tbo-filgrastim to filgrastim in 240 patients receiving platinum-based chemotherapy. In cycle 1, patients were randomized to daily injections (subcutaneous 5 µg/kg/d) of tbo-filgrastim (n=160) or filgrastim (n=80) for at least 5 days and a maximum of 14 days. In subsequent cycles, all patients received tbo-filgrastim.
In cycle 1, the mean duration of severe neutropenia was 0.5 days in the tbo-filgrastim arm and 0.3 days in the filgrastim arm. There was no significant difference in the incidence of febrile neutropenia in cycle 1 between the two arms (P=0.2347).
In the breast cancer trial, investigators compared tbo-filgrastim to filgrastim or placebo in 348 patients receiving chemotherapy. Patients were randomized to daily injections (subcutaneous 5 µg/kg/day) for at least 5 days and a maximum of 14 days in each cycle of tbo-filgrastim (n=140), filgrastim (n=136), or placebo (n=72).
The mean duration of severe neutropenia in cycle 1 was 1.1 days in the tbo-filgrastim arm, 1.1 days in the filgrastim arm, and 3.9 days in the placebo arm.
In all the trials, bone pain was the most frequent treatment-emergent adverse event, occurring in at least 1% of patients treated with tbo-filgrastim at the recommended dose. The overall incidence of bone pain in cycle 1 was 3.4% for tbo-filgrastim, 1.4% for placebo, and 7.5% for filgrastim.
According to the drug’s prescribing information, tbo-filgrastim may pose a risk of splenic rupture, acute respiratory distress syndrome, serious allergic reactions, severe and sometimes fatal sickle cell crises, and capillary leak syndrome. The possibility that the drug acts as a growth factor for tumors cannot be excluded.
The US Food and Drug Administration (FDA) has approved tbo-filgrastim (Granix) injection for administration by patients and caregivers, allowing physicians to prescribe the drug for in-office or at-home use.
Tbo-filgrastim is a leukocyte growth factor used to reduce the duration of severe neutropenia in patients with non-myeloid malignancies who are receiving myelosuppressive anticancer drugs associated with a clinically significant incidence of febrile neutropenia.
The drug has been commercially available in the US since November 2013, but, at present, it can only be administered by a healthcare professional.
Teva Pharmaceutical Industries, Ltd., the company developing tbo-filgrastim, plans to launch the new syringe for administration by patients and caregivers in early 2015.
Clinical trials
Researchers evaluated tbo-filgrastim in 3 phase 3 trials of patients receiving myelosuppressive chemotherapy for breast cancer, lung cancer, and non-Hodgkin lymphoma (NHL).
In the NHL study, investigators compared tbo-filgrastim to filgrastim for the prevention of chemotherapy-induced neutropenia in 92 patients.
For cycle 1, patients were randomized to daily injections (subcutaneous 5 µg/kg/day) of tbo-filgrastim (n=63) or filgrastim (n=29) for at least 5 days and a maximum of 14 days. In subsequent cycles, all patients received tbo-filgrastim.
In cycle 1, the mean duration of severe neutropenia was 0.5 days in the tbo-filgrastim arm and 0.9 days in the filgrastim arm (P=0.1055). The incidence of febrile neutropenia was 11.1% and 20.7%, respectively (P=0.1232).
In the lung cancer trial, researchers compared tbo-filgrastim to filgrastim in 240 patients receiving platinum-based chemotherapy. In cycle 1, patients were randomized to daily injections (subcutaneous 5 µg/kg/d) of tbo-filgrastim (n=160) or filgrastim (n=80) for at least 5 days and a maximum of 14 days. In subsequent cycles, all patients received tbo-filgrastim.
In cycle 1, the mean duration of severe neutropenia was 0.5 days in the tbo-filgrastim arm and 0.3 days in the filgrastim arm. There was no significant difference in the incidence of febrile neutropenia in cycle 1 between the two arms (P=0.2347).
In the breast cancer trial, investigators compared tbo-filgrastim to filgrastim or placebo in 348 patients receiving chemotherapy. Patients were randomized to daily injections (subcutaneous 5 µg/kg/day) for at least 5 days and a maximum of 14 days in each cycle of tbo-filgrastim (n=140), filgrastim (n=136), or placebo (n=72).
The mean duration of severe neutropenia in cycle 1 was 1.1 days in the tbo-filgrastim arm, 1.1 days in the filgrastim arm, and 3.9 days in the placebo arm.
In all the trials, bone pain was the most frequent treatment-emergent adverse event, occurring in at least 1% of patients treated with tbo-filgrastim at the recommended dose. The overall incidence of bone pain in cycle 1 was 3.4% for tbo-filgrastim, 1.4% for placebo, and 7.5% for filgrastim.
According to the drug’s prescribing information, tbo-filgrastim may pose a risk of splenic rupture, acute respiratory distress syndrome, serious allergic reactions, severe and sometimes fatal sickle cell crises, and capillary leak syndrome. The possibility that the drug acts as a growth factor for tumors cannot be excluded.
The US Food and Drug Administration (FDA) has approved tbo-filgrastim (Granix) injection for administration by patients and caregivers, allowing physicians to prescribe the drug for in-office or at-home use.
Tbo-filgrastim is a leukocyte growth factor used to reduce the duration of severe neutropenia in patients with non-myeloid malignancies who are receiving myelosuppressive anticancer drugs associated with a clinically significant incidence of febrile neutropenia.
The drug has been commercially available in the US since November 2013, but, at present, it can only be administered by a healthcare professional.
Teva Pharmaceutical Industries, Ltd., the company developing tbo-filgrastim, plans to launch the new syringe for administration by patients and caregivers in early 2015.
Clinical trials
Researchers evaluated tbo-filgrastim in 3 phase 3 trials of patients receiving myelosuppressive chemotherapy for breast cancer, lung cancer, and non-Hodgkin lymphoma (NHL).
In the NHL study, investigators compared tbo-filgrastim to filgrastim for the prevention of chemotherapy-induced neutropenia in 92 patients.
For cycle 1, patients were randomized to daily injections (subcutaneous 5 µg/kg/day) of tbo-filgrastim (n=63) or filgrastim (n=29) for at least 5 days and a maximum of 14 days. In subsequent cycles, all patients received tbo-filgrastim.
In cycle 1, the mean duration of severe neutropenia was 0.5 days in the tbo-filgrastim arm and 0.9 days in the filgrastim arm (P=0.1055). The incidence of febrile neutropenia was 11.1% and 20.7%, respectively (P=0.1232).
In the lung cancer trial, researchers compared tbo-filgrastim to filgrastim in 240 patients receiving platinum-based chemotherapy. In cycle 1, patients were randomized to daily injections (subcutaneous 5 µg/kg/d) of tbo-filgrastim (n=160) or filgrastim (n=80) for at least 5 days and a maximum of 14 days. In subsequent cycles, all patients received tbo-filgrastim.
In cycle 1, the mean duration of severe neutropenia was 0.5 days in the tbo-filgrastim arm and 0.3 days in the filgrastim arm. There was no significant difference in the incidence of febrile neutropenia in cycle 1 between the two arms (P=0.2347).
In the breast cancer trial, investigators compared tbo-filgrastim to filgrastim or placebo in 348 patients receiving chemotherapy. Patients were randomized to daily injections (subcutaneous 5 µg/kg/day) for at least 5 days and a maximum of 14 days in each cycle of tbo-filgrastim (n=140), filgrastim (n=136), or placebo (n=72).
The mean duration of severe neutropenia in cycle 1 was 1.1 days in the tbo-filgrastim arm, 1.1 days in the filgrastim arm, and 3.9 days in the placebo arm.
In all the trials, bone pain was the most frequent treatment-emergent adverse event, occurring in at least 1% of patients treated with tbo-filgrastim at the recommended dose. The overall incidence of bone pain in cycle 1 was 3.4% for tbo-filgrastim, 1.4% for placebo, and 7.5% for filgrastim.
According to the drug’s prescribing information, tbo-filgrastim may pose a risk of splenic rupture, acute respiratory distress syndrome, serious allergic reactions, severe and sometimes fatal sickle cell crises, and capillary leak syndrome. The possibility that the drug acts as a growth factor for tumors cannot be excluded.
Lens-free microscope a ‘milestone’
Researchers say they’ve developed a lens-free microscope that can detect the presence of cell-level abnormalities with the same accuracy as larger and more expensive optical microscopes.
The invention could lead to less expensive, more portable technology for performing examinations of tissue, blood, and other biomedical specimens, according to the researchers.
It may prove especially useful in remote areas and when large numbers of samples need to be examined quickly.
Aydogan Ozcan, PhD, of the University of California, Los Angeles, and his colleagues described their work with the microscope in Science Translational Medicine.
“This is a milestone in the work we’ve been doing,” Dr Ozcan said. “This is the first time tissue samples have been imaged in 3D using a lens-free, on-chip microscope.”
The device works by using a laser or light-emitting-diode to illuminate a tissue or blood sample that has been placed on a slide and inserted into the device. A sensor array on a microchip captures and records the pattern of shadows created by the sample.
The device processes these patterns as a series of holograms, forming 3-D images of the specimen and giving medical personnel a virtual depth-of-field view. An algorithm color codes the reconstructed images, making the contrasts in the samples more apparent than they would be in the holograms and making any abnormalities easier to detect.
Dr Ozcan’s team tested the device using blood samples containing sickle cell anemia, Pap smears that indicated cervical cancer, and tissue specimens containing cancerous breast cells.
In a blind test, a board-certified pathologist analyzed sets of specimen images that had been created by the lens-free technology and by conventional microscopes. The pathologist’s diagnoses using the lens-free microscopic images proved accurate 99% of the time.
Another benefit of the lens-free device, according to the researchers, is that it produces images that are several hundred times larger in area, or field of view, than those captured by conventional bright-field optical microscopes. This makes it possible to process specimens more quickly.
“While mobile healthcare has expanded rapidly with the growth of consumer electronics—cellphones in particular—pathology is still, by and large, constrained to advanced clinical laboratory settings,” Dr Ozcan said. “Accompanied by advances in its graphical user interface, this platform could scale up for use in clinical, biomedical, scientific, educational, and citizen-science applications, among others.”
Researchers say they’ve developed a lens-free microscope that can detect the presence of cell-level abnormalities with the same accuracy as larger and more expensive optical microscopes.
The invention could lead to less expensive, more portable technology for performing examinations of tissue, blood, and other biomedical specimens, according to the researchers.
It may prove especially useful in remote areas and when large numbers of samples need to be examined quickly.
Aydogan Ozcan, PhD, of the University of California, Los Angeles, and his colleagues described their work with the microscope in Science Translational Medicine.
“This is a milestone in the work we’ve been doing,” Dr Ozcan said. “This is the first time tissue samples have been imaged in 3D using a lens-free, on-chip microscope.”
The device works by using a laser or light-emitting-diode to illuminate a tissue or blood sample that has been placed on a slide and inserted into the device. A sensor array on a microchip captures and records the pattern of shadows created by the sample.
The device processes these patterns as a series of holograms, forming 3-D images of the specimen and giving medical personnel a virtual depth-of-field view. An algorithm color codes the reconstructed images, making the contrasts in the samples more apparent than they would be in the holograms and making any abnormalities easier to detect.
Dr Ozcan’s team tested the device using blood samples containing sickle cell anemia, Pap smears that indicated cervical cancer, and tissue specimens containing cancerous breast cells.
In a blind test, a board-certified pathologist analyzed sets of specimen images that had been created by the lens-free technology and by conventional microscopes. The pathologist’s diagnoses using the lens-free microscopic images proved accurate 99% of the time.
Another benefit of the lens-free device, according to the researchers, is that it produces images that are several hundred times larger in area, or field of view, than those captured by conventional bright-field optical microscopes. This makes it possible to process specimens more quickly.
“While mobile healthcare has expanded rapidly with the growth of consumer electronics—cellphones in particular—pathology is still, by and large, constrained to advanced clinical laboratory settings,” Dr Ozcan said. “Accompanied by advances in its graphical user interface, this platform could scale up for use in clinical, biomedical, scientific, educational, and citizen-science applications, among others.”
Researchers say they’ve developed a lens-free microscope that can detect the presence of cell-level abnormalities with the same accuracy as larger and more expensive optical microscopes.
The invention could lead to less expensive, more portable technology for performing examinations of tissue, blood, and other biomedical specimens, according to the researchers.
It may prove especially useful in remote areas and when large numbers of samples need to be examined quickly.
Aydogan Ozcan, PhD, of the University of California, Los Angeles, and his colleagues described their work with the microscope in Science Translational Medicine.
“This is a milestone in the work we’ve been doing,” Dr Ozcan said. “This is the first time tissue samples have been imaged in 3D using a lens-free, on-chip microscope.”
The device works by using a laser or light-emitting-diode to illuminate a tissue or blood sample that has been placed on a slide and inserted into the device. A sensor array on a microchip captures and records the pattern of shadows created by the sample.
The device processes these patterns as a series of holograms, forming 3-D images of the specimen and giving medical personnel a virtual depth-of-field view. An algorithm color codes the reconstructed images, making the contrasts in the samples more apparent than they would be in the holograms and making any abnormalities easier to detect.
Dr Ozcan’s team tested the device using blood samples containing sickle cell anemia, Pap smears that indicated cervical cancer, and tissue specimens containing cancerous breast cells.
In a blind test, a board-certified pathologist analyzed sets of specimen images that had been created by the lens-free technology and by conventional microscopes. The pathologist’s diagnoses using the lens-free microscopic images proved accurate 99% of the time.
Another benefit of the lens-free device, according to the researchers, is that it produces images that are several hundred times larger in area, or field of view, than those captured by conventional bright-field optical microscopes. This makes it possible to process specimens more quickly.
“While mobile healthcare has expanded rapidly with the growth of consumer electronics—cellphones in particular—pathology is still, by and large, constrained to advanced clinical laboratory settings,” Dr Ozcan said. “Accompanied by advances in its graphical user interface, this platform could scale up for use in clinical, biomedical, scientific, educational, and citizen-science applications, among others.”
Study shows higher risk of MDS, leukemia after breast cancer
chemotherapy
Credit: Rhoda Baer
The risk of developing myelodysplastic syndromes (MDS) or leukemias after treatment for early stage breast cancer is higher than previously reported, according to a study published in the Journal of Clinical Oncology.
Data from earlier studies showed that about 0.25% of breast cancer patients develop MDS or leukemia as a late effect of chemotherapy, said Judith Karp, MD, of the Johns Hopkins University School of Medicine in Baltimore, Maryland.
But Dr Karp and her colleagues found the 10-year incidence of MDS and leukemia among breast cancer patients to be about 0.5%.
“[T]he cumulative risk over a decade is now shown to be twice as high as we thought it was, and that risk doesn’t seem to slow down 5 years after treatment,” Dr Karp said. “Most medical oncologists have come to think that the risk is early and short-lived. So this was a little bit of a wake-up call that we are not seeing any plateau of that risk, and it is higher.”
Dr Karp and her colleagues reviewed data on 20,063 breast cancer patients treated at 8 US cancer centers between 1998 and 2007 whose cancer recurrence and secondary cancer rates were recorded in a database kept by the National Comprehensive Cancer Network.
At a median follow-up of 5.1 years, 50 patients had developed a marrow neoplasm, including acute myeloid leukemia (n=24), MDS/acute myeloid leukemia (n=15), chronic lymphocytic leukemia/small lymphocytic lymphoma (n=5), chronic myeloid leukemia (n=3), or acute lymphoblastic leukemia (n=3).
The risk of developing MDS/leukemia was about 7 times higher for patients who underwent surgery and received chemotherapy, compared to patients who did not receive chemotherapy. For patients who underwent surgery and received both chemotherapy and radiation, the risk was about 8 times higher.
The MDS/leukemia rates per 1000 person-years were 0.16 for surgery, 0.43 for surgery plus radiation, 0.46 for surgery plus chemotherapy, and 0.54 for all 3 modalities.
The cumulative incidence of MDS/leukemia doubled between years 5 and 10, rising from 0.24% to 0.48%. And only 9% of patients were alive at 10 years.
Antonio Wolff, MD, of the Johns Hopkins University School of Medicine, said this study could help early stage breast cancer patients and their physicians think more carefully about the use of preventive or adjuvant chemotherapy, especially when patients have a low risk of cancer recurrence.
“Our study provides useful information for physicians and patients to consider a potential downside of preventive or adjuvant chemotherapy in patients with very low risk of breast cancer recurrence,” he said.
“It could be a false and dangerous security blanket to some patients by exposing them to a small risk of serious late effects with little or no real benefit from the treatment.”
The researchers included a hypothetical case to put the risks of early stage breast cancer and its treatment in perspective. They described a 60-year-old woman in average health who was diagnosed with stage 1 breast cancer that was rapidly growing and estrogen receptor-positive.
The patient had an estimated 12.3% risk of dying of breast cancer after 10 years. She could improve her 10-year survival rate by 1.8% with 4 cycles of chemotherapy, but she would also increase her risk of MDS/leukemia over that same time by 0.5%.
Dr Wolff noted that it’s unclear whether the increased risk of MDS/leukemia after postsurgical chemotherapy applies to patients with other kinds of solid tumors, as the drug regimens used in breast cancer differ from those used for other cancers.
chemotherapy
Credit: Rhoda Baer
The risk of developing myelodysplastic syndromes (MDS) or leukemias after treatment for early stage breast cancer is higher than previously reported, according to a study published in the Journal of Clinical Oncology.
Data from earlier studies showed that about 0.25% of breast cancer patients develop MDS or leukemia as a late effect of chemotherapy, said Judith Karp, MD, of the Johns Hopkins University School of Medicine in Baltimore, Maryland.
But Dr Karp and her colleagues found the 10-year incidence of MDS and leukemia among breast cancer patients to be about 0.5%.
“[T]he cumulative risk over a decade is now shown to be twice as high as we thought it was, and that risk doesn’t seem to slow down 5 years after treatment,” Dr Karp said. “Most medical oncologists have come to think that the risk is early and short-lived. So this was a little bit of a wake-up call that we are not seeing any plateau of that risk, and it is higher.”
Dr Karp and her colleagues reviewed data on 20,063 breast cancer patients treated at 8 US cancer centers between 1998 and 2007 whose cancer recurrence and secondary cancer rates were recorded in a database kept by the National Comprehensive Cancer Network.
At a median follow-up of 5.1 years, 50 patients had developed a marrow neoplasm, including acute myeloid leukemia (n=24), MDS/acute myeloid leukemia (n=15), chronic lymphocytic leukemia/small lymphocytic lymphoma (n=5), chronic myeloid leukemia (n=3), or acute lymphoblastic leukemia (n=3).
The risk of developing MDS/leukemia was about 7 times higher for patients who underwent surgery and received chemotherapy, compared to patients who did not receive chemotherapy. For patients who underwent surgery and received both chemotherapy and radiation, the risk was about 8 times higher.
The MDS/leukemia rates per 1000 person-years were 0.16 for surgery, 0.43 for surgery plus radiation, 0.46 for surgery plus chemotherapy, and 0.54 for all 3 modalities.
The cumulative incidence of MDS/leukemia doubled between years 5 and 10, rising from 0.24% to 0.48%. And only 9% of patients were alive at 10 years.
Antonio Wolff, MD, of the Johns Hopkins University School of Medicine, said this study could help early stage breast cancer patients and their physicians think more carefully about the use of preventive or adjuvant chemotherapy, especially when patients have a low risk of cancer recurrence.
“Our study provides useful information for physicians and patients to consider a potential downside of preventive or adjuvant chemotherapy in patients with very low risk of breast cancer recurrence,” he said.
“It could be a false and dangerous security blanket to some patients by exposing them to a small risk of serious late effects with little or no real benefit from the treatment.”
The researchers included a hypothetical case to put the risks of early stage breast cancer and its treatment in perspective. They described a 60-year-old woman in average health who was diagnosed with stage 1 breast cancer that was rapidly growing and estrogen receptor-positive.
The patient had an estimated 12.3% risk of dying of breast cancer after 10 years. She could improve her 10-year survival rate by 1.8% with 4 cycles of chemotherapy, but she would also increase her risk of MDS/leukemia over that same time by 0.5%.
Dr Wolff noted that it’s unclear whether the increased risk of MDS/leukemia after postsurgical chemotherapy applies to patients with other kinds of solid tumors, as the drug regimens used in breast cancer differ from those used for other cancers.
chemotherapy
Credit: Rhoda Baer
The risk of developing myelodysplastic syndromes (MDS) or leukemias after treatment for early stage breast cancer is higher than previously reported, according to a study published in the Journal of Clinical Oncology.
Data from earlier studies showed that about 0.25% of breast cancer patients develop MDS or leukemia as a late effect of chemotherapy, said Judith Karp, MD, of the Johns Hopkins University School of Medicine in Baltimore, Maryland.
But Dr Karp and her colleagues found the 10-year incidence of MDS and leukemia among breast cancer patients to be about 0.5%.
“[T]he cumulative risk over a decade is now shown to be twice as high as we thought it was, and that risk doesn’t seem to slow down 5 years after treatment,” Dr Karp said. “Most medical oncologists have come to think that the risk is early and short-lived. So this was a little bit of a wake-up call that we are not seeing any plateau of that risk, and it is higher.”
Dr Karp and her colleagues reviewed data on 20,063 breast cancer patients treated at 8 US cancer centers between 1998 and 2007 whose cancer recurrence and secondary cancer rates were recorded in a database kept by the National Comprehensive Cancer Network.
At a median follow-up of 5.1 years, 50 patients had developed a marrow neoplasm, including acute myeloid leukemia (n=24), MDS/acute myeloid leukemia (n=15), chronic lymphocytic leukemia/small lymphocytic lymphoma (n=5), chronic myeloid leukemia (n=3), or acute lymphoblastic leukemia (n=3).
The risk of developing MDS/leukemia was about 7 times higher for patients who underwent surgery and received chemotherapy, compared to patients who did not receive chemotherapy. For patients who underwent surgery and received both chemotherapy and radiation, the risk was about 8 times higher.
The MDS/leukemia rates per 1000 person-years were 0.16 for surgery, 0.43 for surgery plus radiation, 0.46 for surgery plus chemotherapy, and 0.54 for all 3 modalities.
The cumulative incidence of MDS/leukemia doubled between years 5 and 10, rising from 0.24% to 0.48%. And only 9% of patients were alive at 10 years.
Antonio Wolff, MD, of the Johns Hopkins University School of Medicine, said this study could help early stage breast cancer patients and their physicians think more carefully about the use of preventive or adjuvant chemotherapy, especially when patients have a low risk of cancer recurrence.
“Our study provides useful information for physicians and patients to consider a potential downside of preventive or adjuvant chemotherapy in patients with very low risk of breast cancer recurrence,” he said.
“It could be a false and dangerous security blanket to some patients by exposing them to a small risk of serious late effects with little or no real benefit from the treatment.”
The researchers included a hypothetical case to put the risks of early stage breast cancer and its treatment in perspective. They described a 60-year-old woman in average health who was diagnosed with stage 1 breast cancer that was rapidly growing and estrogen receptor-positive.
The patient had an estimated 12.3% risk of dying of breast cancer after 10 years. She could improve her 10-year survival rate by 1.8% with 4 cycles of chemotherapy, but she would also increase her risk of MDS/leukemia over that same time by 0.5%.
Dr Wolff noted that it’s unclear whether the increased risk of MDS/leukemia after postsurgical chemotherapy applies to patients with other kinds of solid tumors, as the drug regimens used in breast cancer differ from those used for other cancers.
Care as a Continuum
Patients who are hospitalized for an acute event often have a range of prior outpatient experiences within the healthcare system, both before and after a hospitalization. In particular, continuity with a primary care provider can influence health outcomes.[1] In this issue of the Journal of Hospital Medicine, Boonyasai et al. found several characteristics of primary care physicians that were associated with whether their hospitalized patients were cared for by hospitalists.[2] Using Medicare claims data from the state of Texas during years 2001 to 2009, the authors calculated the percent of primary care physicians' hospitalized patients who were cared for by hospitalists. Hospitalist use increased overall during the time period, but primary care physicians differed in the rate and extent of hospitalist use. A minority of physicians were early adopters, with the majority of their hospitalized patients cared for by hospitalists during the entire time period. A sizeable group of primary care physicians mostly avoided using hospitalists. Moreover, there was a significant cluster of primary care physicians who, at some point during the study period, rapidly began using hospitalists within a relatively short time.
Several physician characteristics were associated with a greater adoption of the hospitalist model, including being female, in a family practice specialty, or in a rural practice setting. What this study lacks is the ability to explain why some physicians used hospitalists and others did not. It is probable that adoption (or not) of hospitalists is less an individual physician decision and instead reflects a choice of their clinical practice group. If an outpatient practice group or provider can influence whether or not their patients are cared for by hospitalists, it is also conceivable that they can affect hospital‐based outcomes as well. This finding reinforces the importance of examining the care and outcomes of patient care across the continuum of care, rather than focusing on the inpatient or outpatient setting.
As a result of the Affordable Care Act and rising healthcare costs, provider groups are beginning to form accountable care organizations (ACOs). An ACO is partnership between payers and providers to care for a population of patients across the continuum of care. In these arrangements, the providers often take on financial risk for the total cost of care for a population as well as for providing high‐quality care as monitored by specific metrics.[3] The population of patients for which ACOs take risks often include predominantly patients who receive primary care from the group.[4] For overall cost management, given that acute hospitalizations are disproportionately high cost, a primary focus of a majority of ACOs is to reduce unnecessary hospital days. Overall, ACOs that have been successful in the short term in managing costs have done so primarily by reducing overall hospital days.[5] ACOs have started to do so by creating intensive outpatient care management programs for high‐risk patients, by focusing on transitions of care to help decrease readmissions, by working with primary care clinics to transform into patient‐centered medical homes, where same‐day access to care is a priority, and developing other disease‐management tools to keep patients healthy.
To manage hospital utilization, many ACOs have developed plans to transform primary care and shift hospital care to outpatient care through enhanced outpatient case management for complex cases. As the way primary care is delivered changes, it will be very important to understand how this will modify the utilization and impact of hospitalist care on patients. The hope is that these modifications will work synergistically with hospitalist programs.
As the lines between outpatient and inpatient care become increasingly blurred, it may not be fair to attribute hospitalization outcome measures to hospitalists alone, particularly as ACOs are likely to move only the sickest or most difficult to manage patients to the inpatient setting. This may affect hospital‐based quality metrics such as readmissions and mortality. Seamless communication and transfer of information between outpatient and inpatient care will be vital to the success of ACOs.[6] In addition to improved communication, however, some systems may look to hospitalists to staff postdischarge clinics or act as extensivists or ambulatory intensivists to help manage the sickest in the population.[7]
Boonyasi et al. show that primary care physician characteristics as associated with whether or not patients' receive care from hospitalists.[2] As such, it reinforces the concept that providers in part of the continuum of care are integrally tied to care received by patients in different treatment settings. As our healthcare system rapidly transforms over the next few years, it will become more important to understand how outpatient and inpatient providers influence one another's care patterns and how these relationships influence care and cost‐related outcomes for patients.
ACKNOWLEDGMENTS
Disclosure: Nothing to report.
- , . Does continuity of care improve patient outcomes? J Fam Pract. 2004;53(12):974–980.
- et al. Characteristics of primary care providers who adopted the hospitalist model 2001–2009. J Hosp Med.
- . Understanding the new vocabulary of healthcare reform. J Hosp Med. 2010;5:197–199.
- Centers for Medicare 8:472–477.
- Agency for Healthcare Research and Quality. Medical “extensivists” care for high‐acuity patients across settings, leading to reduced hospital use. AHRQ Service Delivery Innovation Profile. Available at: https://innovations.ahrq.gov/profiles/medical‐extensivists‐care‐high‐acuity‐patients‐across‐settings‐leading‐reduced‐hospital‐use. Accessed December 17, 2014.
Patients who are hospitalized for an acute event often have a range of prior outpatient experiences within the healthcare system, both before and after a hospitalization. In particular, continuity with a primary care provider can influence health outcomes.[1] In this issue of the Journal of Hospital Medicine, Boonyasai et al. found several characteristics of primary care physicians that were associated with whether their hospitalized patients were cared for by hospitalists.[2] Using Medicare claims data from the state of Texas during years 2001 to 2009, the authors calculated the percent of primary care physicians' hospitalized patients who were cared for by hospitalists. Hospitalist use increased overall during the time period, but primary care physicians differed in the rate and extent of hospitalist use. A minority of physicians were early adopters, with the majority of their hospitalized patients cared for by hospitalists during the entire time period. A sizeable group of primary care physicians mostly avoided using hospitalists. Moreover, there was a significant cluster of primary care physicians who, at some point during the study period, rapidly began using hospitalists within a relatively short time.
Several physician characteristics were associated with a greater adoption of the hospitalist model, including being female, in a family practice specialty, or in a rural practice setting. What this study lacks is the ability to explain why some physicians used hospitalists and others did not. It is probable that adoption (or not) of hospitalists is less an individual physician decision and instead reflects a choice of their clinical practice group. If an outpatient practice group or provider can influence whether or not their patients are cared for by hospitalists, it is also conceivable that they can affect hospital‐based outcomes as well. This finding reinforces the importance of examining the care and outcomes of patient care across the continuum of care, rather than focusing on the inpatient or outpatient setting.
As a result of the Affordable Care Act and rising healthcare costs, provider groups are beginning to form accountable care organizations (ACOs). An ACO is partnership between payers and providers to care for a population of patients across the continuum of care. In these arrangements, the providers often take on financial risk for the total cost of care for a population as well as for providing high‐quality care as monitored by specific metrics.[3] The population of patients for which ACOs take risks often include predominantly patients who receive primary care from the group.[4] For overall cost management, given that acute hospitalizations are disproportionately high cost, a primary focus of a majority of ACOs is to reduce unnecessary hospital days. Overall, ACOs that have been successful in the short term in managing costs have done so primarily by reducing overall hospital days.[5] ACOs have started to do so by creating intensive outpatient care management programs for high‐risk patients, by focusing on transitions of care to help decrease readmissions, by working with primary care clinics to transform into patient‐centered medical homes, where same‐day access to care is a priority, and developing other disease‐management tools to keep patients healthy.
To manage hospital utilization, many ACOs have developed plans to transform primary care and shift hospital care to outpatient care through enhanced outpatient case management for complex cases. As the way primary care is delivered changes, it will be very important to understand how this will modify the utilization and impact of hospitalist care on patients. The hope is that these modifications will work synergistically with hospitalist programs.
As the lines between outpatient and inpatient care become increasingly blurred, it may not be fair to attribute hospitalization outcome measures to hospitalists alone, particularly as ACOs are likely to move only the sickest or most difficult to manage patients to the inpatient setting. This may affect hospital‐based quality metrics such as readmissions and mortality. Seamless communication and transfer of information between outpatient and inpatient care will be vital to the success of ACOs.[6] In addition to improved communication, however, some systems may look to hospitalists to staff postdischarge clinics or act as extensivists or ambulatory intensivists to help manage the sickest in the population.[7]
Boonyasi et al. show that primary care physician characteristics as associated with whether or not patients' receive care from hospitalists.[2] As such, it reinforces the concept that providers in part of the continuum of care are integrally tied to care received by patients in different treatment settings. As our healthcare system rapidly transforms over the next few years, it will become more important to understand how outpatient and inpatient providers influence one another's care patterns and how these relationships influence care and cost‐related outcomes for patients.
ACKNOWLEDGMENTS
Disclosure: Nothing to report.
Patients who are hospitalized for an acute event often have a range of prior outpatient experiences within the healthcare system, both before and after a hospitalization. In particular, continuity with a primary care provider can influence health outcomes.[1] In this issue of the Journal of Hospital Medicine, Boonyasai et al. found several characteristics of primary care physicians that were associated with whether their hospitalized patients were cared for by hospitalists.[2] Using Medicare claims data from the state of Texas during years 2001 to 2009, the authors calculated the percent of primary care physicians' hospitalized patients who were cared for by hospitalists. Hospitalist use increased overall during the time period, but primary care physicians differed in the rate and extent of hospitalist use. A minority of physicians were early adopters, with the majority of their hospitalized patients cared for by hospitalists during the entire time period. A sizeable group of primary care physicians mostly avoided using hospitalists. Moreover, there was a significant cluster of primary care physicians who, at some point during the study period, rapidly began using hospitalists within a relatively short time.
Several physician characteristics were associated with a greater adoption of the hospitalist model, including being female, in a family practice specialty, or in a rural practice setting. What this study lacks is the ability to explain why some physicians used hospitalists and others did not. It is probable that adoption (or not) of hospitalists is less an individual physician decision and instead reflects a choice of their clinical practice group. If an outpatient practice group or provider can influence whether or not their patients are cared for by hospitalists, it is also conceivable that they can affect hospital‐based outcomes as well. This finding reinforces the importance of examining the care and outcomes of patient care across the continuum of care, rather than focusing on the inpatient or outpatient setting.
As a result of the Affordable Care Act and rising healthcare costs, provider groups are beginning to form accountable care organizations (ACOs). An ACO is partnership between payers and providers to care for a population of patients across the continuum of care. In these arrangements, the providers often take on financial risk for the total cost of care for a population as well as for providing high‐quality care as monitored by specific metrics.[3] The population of patients for which ACOs take risks often include predominantly patients who receive primary care from the group.[4] For overall cost management, given that acute hospitalizations are disproportionately high cost, a primary focus of a majority of ACOs is to reduce unnecessary hospital days. Overall, ACOs that have been successful in the short term in managing costs have done so primarily by reducing overall hospital days.[5] ACOs have started to do so by creating intensive outpatient care management programs for high‐risk patients, by focusing on transitions of care to help decrease readmissions, by working with primary care clinics to transform into patient‐centered medical homes, where same‐day access to care is a priority, and developing other disease‐management tools to keep patients healthy.
To manage hospital utilization, many ACOs have developed plans to transform primary care and shift hospital care to outpatient care through enhanced outpatient case management for complex cases. As the way primary care is delivered changes, it will be very important to understand how this will modify the utilization and impact of hospitalist care on patients. The hope is that these modifications will work synergistically with hospitalist programs.
As the lines between outpatient and inpatient care become increasingly blurred, it may not be fair to attribute hospitalization outcome measures to hospitalists alone, particularly as ACOs are likely to move only the sickest or most difficult to manage patients to the inpatient setting. This may affect hospital‐based quality metrics such as readmissions and mortality. Seamless communication and transfer of information between outpatient and inpatient care will be vital to the success of ACOs.[6] In addition to improved communication, however, some systems may look to hospitalists to staff postdischarge clinics or act as extensivists or ambulatory intensivists to help manage the sickest in the population.[7]
Boonyasi et al. show that primary care physician characteristics as associated with whether or not patients' receive care from hospitalists.[2] As such, it reinforces the concept that providers in part of the continuum of care are integrally tied to care received by patients in different treatment settings. As our healthcare system rapidly transforms over the next few years, it will become more important to understand how outpatient and inpatient providers influence one another's care patterns and how these relationships influence care and cost‐related outcomes for patients.
ACKNOWLEDGMENTS
Disclosure: Nothing to report.
- , . Does continuity of care improve patient outcomes? J Fam Pract. 2004;53(12):974–980.
- et al. Characteristics of primary care providers who adopted the hospitalist model 2001–2009. J Hosp Med.
- . Understanding the new vocabulary of healthcare reform. J Hosp Med. 2010;5:197–199.
- Centers for Medicare 8:472–477.
- Agency for Healthcare Research and Quality. Medical “extensivists” care for high‐acuity patients across settings, leading to reduced hospital use. AHRQ Service Delivery Innovation Profile. Available at: https://innovations.ahrq.gov/profiles/medical‐extensivists‐care‐high‐acuity‐patients‐across‐settings‐leading‐reduced‐hospital‐use. Accessed December 17, 2014.
- , . Does continuity of care improve patient outcomes? J Fam Pract. 2004;53(12):974–980.
- et al. Characteristics of primary care providers who adopted the hospitalist model 2001–2009. J Hosp Med.
- . Understanding the new vocabulary of healthcare reform. J Hosp Med. 2010;5:197–199.
- Centers for Medicare 8:472–477.
- Agency for Healthcare Research and Quality. Medical “extensivists” care for high‐acuity patients across settings, leading to reduced hospital use. AHRQ Service Delivery Innovation Profile. Available at: https://innovations.ahrq.gov/profiles/medical‐extensivists‐care‐high‐acuity‐patients‐across‐settings‐leading‐reduced‐hospital‐use. Accessed December 17, 2014.
Dashboards and P4P in VTE Prophylaxis
The Affordable Care Act explicitly outlines improving the value of healthcare by increasing quality and decreasing costs. It emphasizes value‐based purchasing, the transparency of performance metrics, and the use of payment incentives to reward quality.[1, 2] Venous thromboembolism (VTE) prophylaxis is one of these publicly reported performance measures. The National Quality Forum recommends that each patient be evaluated on hospital admission and during their hospitalization for VTE risk level and for appropriate thromboprophylaxis to be used, if required.[3] Similarly, the Joint Commission includes appropriate VTE prophylaxis in its Core Measures.[4] Patient experience and performance metrics, including VTE prophylaxis, constitute the hospital value‐based purchasing (VBP) component of healthcare reform.[5] For a hypothetical 327‐bed hospital, an estimated $1.7 million of a hospital's inpatient payments from Medicare will be at risk from VBP alone.[2]
VTE prophylaxis is a common target of quality improvement projects. Effective, safe, and cost‐effective measures to prevent VTE exist, including pharmacologic and mechanical prophylaxis.[6, 7] Despite these measures, compliance rates are often below 50%.[8] Different interventions have been pursued to ensure appropriate VTE prophylaxis, including computerized provider order entry (CPOE), electronic alerts, mandatory VTE risk assessment and prophylaxis, and provider education campaigns.[9] Recent studies show that CPOE systems with mandatory fields can increase VTE prophylaxis rates to above 80%, yet the goal of a high reliability health system is for 100% of patients to receive recommended therapy.[10, 11, 12, 13, 14, 15] Interventions to improve prophylaxis rates that have included multiple strategies, such as computerized order sets, feedback, and education, have been the most effective, increasing compliance to above 90%.[9, 11, 16] These systems can be enhanced with additional interventions such as providing individualized provider education and feedback, understanding of work flow, and ensuring patients receive the prescribed therapies.[12] For example, a physician dashboard could be employed to provide a snapshot and historical trend of key performance indicators using graphical displays and indicators.[17]
Dashboards and pay‐for‐performance programs have been increasingly used to increase the visibility of these metrics, provide feedback, visually display benchmarks and goals, and proactively monitor for achievements and setbacks.[18] Although these strategies are often addressed at departmental (or greater) levels, applying them at the level of the individual provider may assist hospitals in reducing preventable harm and achieving safety and quality goals, especially at higher benchmarks. With their expanding role, hospitalists provide a key opportunity to lead improvement efforts and to study the impact of dashboards and pay‐for performance at the provider level to achieve VTE prophylaxis performance targets. Hospitalists are often the front‐line provider for inpatients and deliver up to 70% of inpatient general medical services.[19] The objective of our study was to evaluate the impact of providing individual provider feedback and employing a pay‐for‐performance program on baseline performance of VTE prophylaxis among hospitalists. We hypothesized that performance feedback through the use of a dashboard would increase appropriate VTE prophylaxis, and this effect would be further augmented by incorporation of a pay‐for‐performance program.
METHODS
Hospitalist Dashboard
In 2010, hospitalist program leaders met with hospital administrators to create a hospitalist dashboard that would provide regularly updated summaries of performance measures for individual hospitalists. The final set of metrics identified included appropriate VTE prophylaxis, length of stay, patients discharged per day, discharges before 3 pm, depth of coding, patient satisfaction, readmissions, communication with the primary care provider, and time to signature for discharge summaries (Figure 1A). The dashboard was introduced at a general hospitalist meeting during which its purpose, methodology, and accessibility were described; it was subsequently implemented in January 2011.
Benchmarks were established for each metric, standardized to establish a scale ranging from 1 through 9, and incorporated into the dashboard (Figure 1A). Higher scores (creating a larger geometric shape) were desirable. For the VTE prophylaxis measure, scores of 1 through 9 corresponded to <60%, 60% to 64.9%, 65% to 69.9%, 70% to 74.9%, 75% to 79.9%, 80% to 84.9%, 85% to 89.9%, 90% to 94.9%, and 95% American College of Chest Physicians (ACCP)‐compliant VTE prophylaxis, respectively.[12, 20] Each provider was able to access the aggregated dashboard (showing the group mean) and his/her individualized dashboard using an individualized login and password for the institutional portal. This portal is used during the provider's workflow, including medical record review and order entry. Both a polygonal summary graphic (Figure 1A) and trend (Figure 1B) view of the dashboard were available to the provider. A comparison of the individual provider to the hospitalist group average was displayed (Figure 1A). At monthly program meetings, the dashboard, group results, and trends were discussed.
Venous Thromboembolism Prophylaxis Compliance
Our study was performed in a tertiary academic medical center with an approximately 20‐member hospitalist group (the precise membership varied over time), whose responsibilities include, among other clinical duties, staffing a 17‐bed general medicine unit with telemetry. The scope of diagnoses and acuity of patients admitted to the hospitalist service is similar to the housestaff services. Some hospitalist faculty serve both as hospitalist and nonhospitalist general medicine service team attendings, but the comparison groups were staffed by hospitalists for <20% of the time. For admissions, all hospitalists use a standardized general medicine admission order set that is integrated into the CPOE system (Sunrise Clinical Manager; Allscripts, Chicago, IL) and completed for all admitted patients. A mandatory VTE risk screen, which includes an assessment of VTE risk factors and pharmacological prophylaxis contraindications, must be completed by the ordering physician as part of this order set (Figure 2A). The system then prompts the provider with a risk‐appropriate VTE prophylaxis recommendation that the provider may subsequently order, including mechanical prophylaxis (Figure 2B). Based on ACCP VTE prevention guidelines, risk‐appropriate prophylaxis was determined using an electronic algorithm that categorized patients into risk categories based on the presence of major VTE risk factors (Figure 2A).[12, 15, 20] If none of these were present, the provider selected No major risk factors known. Both an assessment of current use of anticoagulation and a clinically high risk of bleeding were also included (Figure 2A). If none of these were present, the provider selected No contraindications known. This algorithm is published in detail elsewhere and has been shown to not increase major bleeding episodes.[12, 15] The VTE risk assessment, but not the VTE order itself, was a mandatory field. This allowed the physician discretion to choose among various pharmacological agents and mechanical mechanisms based on patient and physician preferences.
Compliance of risk‐appropriate VTE prophylaxis was determined 24 hours after the admission order set was completed using an automated electronic query of the CPOE system. Low molecular‐weight heparin prescription was included in the compliance algorithm as acceptable prophylaxis. Prescription of pharmacological VTE prophylaxis when a contraindication was present was considered noncompliant. The metric was assigned to the attending physician who billed for the first inpatient encounter.
Pay‐for‐Performance Program
In July 2011, a pay‐for‐performance program was added to the dashboard. All full‐time and part‐time hospitalists were eligible. The financial incentive was determined according to hospital priority and funds available. The VTE prophylaxis metric was prorated by clinical effort, with a maximum of $0.50 per work relative value unit (RVU). To optimize performance, a threshold of 80% compliance had to be surpassed before any payment was made. Progressively increasing percentages of the incentive were earned as compliance increased from 80% to 100%, corresponding to dashboard scores of 6, 7, 8, and 9: <80% (scores 1 to 5)=no payment; 80% to 84.9% (score 6)=$0.125 per RVU; 85% to 89.9% (score 7)=$0.25 per RVU; 90% to 94.9% (score 8)=$0.375 per RVU; and 95% (score 9)=$0.50 per RVU (maximum incentive). Payments were accrued quarterly and paid at the end of the fiscal year as a cumulative, separate performance supplement.
Individualized physician feedback through the dashboard was continued during the pay‐for‐performance period. Average hospitalist group compliance continued to be displayed on the electronic dashboard and was explicitly reviewed at monthly hospitalist meetings.
The VTE prophylaxis order set and data collection and analyses were approved by the Johns Hopkins Medicine Institutional Review Board. The dashboard and pay‐for‐performance program were initiated by the institution as part of a proof of concept quality improvement project.
Analysis
We examined all inpatient admissions to the hospitalist unit from 2008 to 2012. We included patients admitted to and discharged from the hospitalist unit and excluded patients transferred into/out of the unit and encounters with a length of stay <24 hours. VTE prophylaxis orders were queried from the CPOE system 24 hours after the patient was admitted to determine compliance.
After allowing for a run‐in period (2008), we analyzed the change in percent compliance for 3 periods: (1) CPOE‐based VTE order set alone (baseline [BASE], January 2009 to December 2010); (2) group and individual physician feedback using the dashboard (dashboard only [DASH], January to June 2011); and (3) dashboard tied to the pay‐for‐performance program (dashboard with pay‐for‐performance [P4P], July 2011 to December 2012). The CPOE‐based VTE order set was used during all 3 periods. We used the other medical services as a control to ensure that there were no temporal trends toward improved prophylaxis on a service without the intervention. VTE prophylaxis compliance was examined by calculating percent compliance using the same algorithm for the 4 resident‐staffed general medicine service teams at our institution, which utilized the same CPOE system but did not receive the dashboard or pay‐for‐performance interventions. We used locally weighted scatterplot smoothing, a locally weighted regression of percent compliance over time, to graphically display changes in group compliance over time.[21, 22]
We also performed linear regression to assess the rate of change in group compliance and included spline terms that allowed slope to vary for each of the 3 time periods.[23, 24] Clustered analysis accounted for potentially correlated serial measurements of compliance for an individual provider. A separate analysis examined the effect of provider turnover and individual provider improvement during each of the 3 periods. Tests of significance were 2‐sided, with an level of 0.05. Statistical analysis was performed using Stata 12.1 (StataCorp LP, College Station, TX).
RESULTS
Venous Thromboembolism Prophylaxis Compliance
We analyzed 3144 inpatient admissions by 38 hospitalists from 2009 to 2012. The 5 most frequent coded diagnoses were heart failure, acute kidney failure, syncope, pneumonia, and chest pain. Patients had a median length of stay of 3 days [interquartile range: 26]. During the dashboard‐only period, on average, providers improved in compliance by 4% (95% confidence interval [CI]: 35; P<0.001). With the addition of the pay‐for‐performance program, providers improved by an additional 4% (95% CI: 35; P<0.001). Group compliance significantly improved from 86% (95% CI: 8588) during the BASE period of the CPOE‐based VTE order set to 90% (95% CI: 8893) during the DASH period (P=0.01) and 94% (95% CI: 9396) during the subsequent P4P program (P=0.01) (Figure 3). Both inappropriate prophylaxis and lack of prophylaxis, when indicated, resulted in a non‐compliance rating. During the 3 periods, inappropriate prophylaxis decreased from 7.9% to 6.2% to 2.6% during the BASE, DASH, and subsequent P4P periods, respectively. Similarly, lack of prophylaxis when indicated decreased from 6.1% to 3.2% to 3.1% during the BASE, DASH, and subsequent P4P periods, respectively.
The average compliance of the 4 non‐hospitalist general medicine service teams was initially higher than that of the hospitalist service during the CPOE‐based VTE order set (90%) and DASH (92%) periods, but subsequently plateaued and was exceeded by the hospitalist service during the combined P4P (92%) period (Figure 3). However, there was no statistically significant difference between the general medicine service teams and hospitalist service during the DASH (P=0.15) and subsequent P4P (P=0.76) periods.
We also analyzed the rate of VTE prophylaxis compliance improvement (slope) with cut points at each time period transition (Figure 3). Risk‐appropriate VTE prophylaxis during the BASE period did not exhibit significant improvement as indicated by the slope (P=0.23) (Figure 3). In contrast, during the DASH period, VTE prophylaxis compliance significantly increased by 1.58% per month (95% CI: 0.41‐2.76; P=0.01). The addition of the P4P program, however, did not further significantly increase the rate of compliance (P=0.78).
A subgroup analysis restricted to the 19 providers present during all 3 periods was performed to assess for potential confounding from physician turnover. The percent compliance increased in a similar fashion: BASE period of CPOE‐based VTE order set, 85% (95% CI: 8386); DASH, 90% (95% CI: 8893); and P4P, 94% (95% CI: 9296).
Pay‐for‐Performance Program
Nineteen providers met the threshold for pay‐for‐performance (80% appropriate VTE prophylaxis), with 9 providers in the intermediate categories (80%94.9%) and 10 in the full incentive category (95%). The mean individual payout for the incentive was $633 (standard deviation 350), with a total disbursement of $12,029. The majority of payments (17 of 19) were under $1000.
DISCUSSION
A key component of healthcare reform has been value‐based purchasing, which emphasizes extrinsic motivation through the transparency of performance metrics and use of payment incentives to reward quality. Our study evaluates the impact of both extrinsic (payments) and intrinsic (professionalism and peer norms) motivation. It specifically attributed an individual performance metric, VTE prophylaxis, to an attending physician, provided both individualized and group feedback using an electronic dashboard, and incorporated a pay‐for‐performance program. Prescription of risk‐appropriate VTE prophylaxis significantly increased with the implementation of the dashboard and subsequent pay‐for performance program. The fastest rate of improvement occurred after the addition of the dashboard. Sensitivity analyses for provider turnover and comparisons to the general medicine services showed our results to be independent of a general trend of improvement, both at the provider and institutional levels.
Our prior studies demonstrated that order sets significantly improve performance, from a baseline compliance of risk‐appropriate VTE prophylaxis of 66% to 84%.[13, 15, 25] In the current study, compliance was relatively flat during the BASE period, which included these order sets. The greatest rate of continued improvement in compliance occurred during the DASH period, emphasizing both the importance of provider feedback and receptivity and adaptability in the prescribing behavior of hospitalists. Because the goal of a high‐reliability health system is for 100% of patients to receive recommended therapy, multiple approaches are necessary for success.
Nationally, benchmarks for performance measures continue to be raised, with the highest performers achieving above 95%.[26] Additional interventions, such as dashboards and pay‐for‐performance programs, supplement CPOE systems to achieve high reliability. In our study, the compliance rate during the baseline period, which included a CPOE‐based, clinical support‐enabled VTE order set, was 86%. Initially the compliance of the general medicine teams with residents exceeded that of the hospitalist attending teams, which may reflect a greater willingness of resident teams to comply with order sets and automated recommendations. This emphasizes the importance of continuous individual feedback and provider education at the attending physician level to enhance both guideline compliance and decrease provider care variation. Ultimately, with the addition of the dashboard and subsequent pay‐for‐performance program, compliance was increased to 90% and 94%, respectively. Although the major mechanism used by policymakers to improve quality of care is extrinsic motivation, this study demonstrates that intrinsic motivation through peer norms can enhance extrinsic efforts and may be more influential. Both of these programs, dashboards and pay‐for‐performance, may ultimately assist institutions in changing provider behavior and achieving these harder‐to‐achieve higher benchmarks.
We recognize that there are several limitations to our study. First, this is a single‐site program limited to an attending‐physician‐only service. There was strong data support and a defined CPOE algorithm for this initiative. Multi‐site studies will need to overcome the additional challenges of varying service structures and electronic medical record and provider order entry systems. Second, it is difficult to show actual changes in VTE events over time with appropriate prophylaxis. Although VTE prophylaxis is recommended for patients with VTE risk factors, there are conflicting findings about whether prophylaxis prevents VTE events in lower‐risk patients, and current studies suggest that most patients with VTE events are severely ill and develop VTE despite receiving prophylaxis.[27, 28, 29] Our study was underpowered to detect these potential differences in VTE rates, and although the algorithm has been shown to not increase bleeding rates, we did not measure bleeding rates during this study.[12, 15] Our institutional experience suggests that the majority of VTE events occur despite appropriate prophylaxis.[30] Also, VTE prophylaxis may be ordered, but intervening events, such as procedures and changes in risk status or patient refusal, may prevent patients from receiving appropriate prophylaxis.[31, 32] Similarly, hospitals with higher quality scores have higher VTE prophylaxis rates but worse risk‐adjusted VTE rates, which may result from increased surveillance for VTE, suggesting surveillance bias limits the usefulness of the VTE quality measure.[33, 34] Nevertheless, VTE prophylaxis remains a publicly reported Core Measure tied to financial incentives.[4, 5] Third, there may be an unmeasured factor specific to the hospitalist program, which could potentially account for an overall improvement in quality of care. Although the rate of increase in appropriate prophylaxis was not statistically significant during the baseline period, there did appear to be some improvement in prophylaxis toward the end of the period. However, there were no other VTE‐related provider feedback programs being simultaneously pursued during this study. VTE prophylaxis for the non‐hospitalist services showed a relatively stable, non‐increasing compliance rate for the general medical services. Although it was possible for successful residents to age into the hospitalist service, thereby improving rates of prophylaxis based on changes in group makeup, our subgroup analysis of the providers present throughout all phases of the study showed our results to be robust. Similarly, there may have been a cross‐contamination effect of hospitalist faculty who attended on both hospitalist and non‐hospitalist general medicine service teams. This, however, would attenuate any impact of the programs, and thus the effects may in fact be greater than reported. Fourth, establishment of both the dashboard and pay‐for‐performance program required significant institutional and program leadership and resources. To be successful, the dashboard must be in the provider's workflow, transparent, minimize reporter burden, use existing systems, and be actively fed back to providers, ideally those directly entering orders. Our greatest rate of improvement occurred during the feedback‐only phase of this study, emphasizing the importance of physician feedback, provider‐level accountability, and engagement. We suspect that the relatively modest pay‐for‐performance incentive served mainly as a means of engaging providers in self‐monitoring, rather than as a means to change behavior through true incentivization. Although we did not track individual physician views of the dashboard, we reinforced trends, deviations, and expectations at regularly scheduled meetings and provided feedback and patient‐level data to individual providers. Fifth, the design of the pay‐for‐performance program may have also influenced its effectiveness. These types of programs may be more effective when they provide frequent visible, small payments rather than one large payment, and when the payment is framed as a loss rather than a gain.[35] Finally, physician champions and consistent feedback through departmental meetings or visual displays may be required for program success. The initial resources to create the dashboard, continued maintenance and monitoring of performance, and payment of financial incentives all require institutional commitment. A partnership of physicians, program leaders, and institutional administrators is necessary for both initial and continued success.
To achieve performance goals and benchmarks, multiple strategies that combine extrinsic and intrinsic motivation are necessary. As shown by our study, the use of a dashboard and pay‐for‐performance can be tailored to an institution's goals, in line with national standards. The specific goal (risk‐appropriate VTE prophylaxis) and benchmarks (80%, 85%, 90%, 95%) can be individualized to a particular institution. For example, if readmission rates are above target, readmissions could be added as a dashboard metric. The specific benchmark would be determined by historical trends and administrative targets. Similarly, the overall financial incentives could be adjusted based on the financial resources available. Other process measures, such as influenza vaccination screening and administration, could also be targeted. For all of these objectives, continued provider feedback and engagement are critical for progressive success, especially to decrease variability in care at the attending physician level. Incorporating the value‐based purchasing philosophy from the Affordable Care Act, our study suggests that the combination of standardized order sets, real‐time dashboards, and physician‐level incentives may assist hospitals in achieving quality and safety benchmarks, especially at higher targets.
Acknowledgements
The authors thank Meir Gottlieb, BS, from Salar Inc. for data support; Murali Padmanaban, BS, from Johns Hopkins University for his assistance in linking the administrative billing data with real‐time physician orders; and Hsin‐Chieh Yeh, PhD, from the Bloomberg School of Public Health for her statistical advice and additional review. We also thank Mr. Ronald R. Peterson, President, Johns Hopkins Health System and Johns Hopkins Hospital, for providing funding support for the physician incentive payments.
Disclosures: Drs. Michtalik and Brotman had full access to all of the data in the study and take responsibility for the integrity of the data and accuracy of the data analysis. Study concept and design: Drs. Michtalik, Streiff, Finkelstein, Pronovost, and Brotman. Acquisition of data: Drs. Michtalik, Streiff, Brotman and Mr. Carolan, Mr. Lau, Mrs. Durkin. Analysis and interpretation of data: Drs. Michtalik, Haut, Streiff, Brotman and Mr. Carolan, Mr. Lau. Drafting of the manuscript: Drs. Michtalik and Brotman. Critical revision of the manuscript for important intellectual content: Drs. Michtalik, Haut, Streiff, Finkelstein, Pronovost, Brotman and Mr. Carolan, Mr. Lau, Mrs. Durkin. Statistical analysis and supervision: Drs. Michtalik and Brotman. Obtaining funding: Drs. Streiff and Brotman. Technical support: Dr. Streiff and Mr. Carolan, Mr. Lau, Mrs. Durkin
This study was supported by a National Institutes of Health grant T32 HP10025‐17‐00 (Dr. Michtalik), the National Institutes of Health/Johns Hopkins Institute for Clinical and Translational Research KL2 Award 5KL2RR025006 (Dr. Michtalik), the Agency for Healthcare Research and Quality Mentored Clinical Scientist Development K08 Awards 1K08HS017952‐01 (Dr. Haut) and 1K08HS022331‐01A1 (Dr. Michtalik), and the Johns Hopkins Hospitalist Scholars Fund. The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
Dr. Haut receives royalties from Lippincott, Williams & Wilkins. Dr. Streiff has received research funding from Portola and Bristol Myers Squibb, honoraria for CME lectures from Sanofi‐Aventis and Ortho‐McNeil, consulted for Eisai, Daiichi‐Sankyo, Boerhinger‐Ingelheim, Janssen Healthcare, and Pfizer. Mr. Lau, Drs. Haut, Streiff, and Pronovost are supported by a contract from the Patient‐Centered Outcomes Research Institute (PCORI) titled Preventing Venous Thromboembolism: Empowering Patients and Enabling Patient‐Centered Care via Health Information Technology (CE‐12‐11‐4489). Dr. Brotman has received research support from Siemens Healthcare Diagnostics, Bristol‐Myers Squibb, the Agency for Healthcare Research and Quality, Centers for Medicare & Medicaid Services, the Amerigroup Corporation, and the Guerrieri Family Foundation. He has received honoraria from the Gerson Lehrman Group, the Dunn Group, and from Quantia Communications, and received royalties from McGraw‐Hill.
- Medicare Program, Centers for Medicare 76(88):26490–26547.
- . Quality meets finance: payments at risk with value‐based purchasing, readmission, and hospital‐acquired conditions force hospitalists to focus. Hospitalist. 2013;17(1):31.
- National Quality Forum. March 2009. Safe practices for better healthcare—2009 update. Available at: http://www.qualityforum.org/Publications/2009/03/Safe_Practices_for_Better_Healthcare%E2%80%932009_Update.aspx. Accessed November 1, 2014.
- Joint Commission on Accreditation of Healthcare Organizations. Approved: more options for hospital core measures. Jt Comm Perspect. 2009;29(4):1–6.
- Centers for Medicare 208(2):227–240.
- , . Thromboprophylaxis in nonsurgical patients. Hematology Am Soc Hematol Educ Program. 2012;2012:631–637.
- , , , et al. Venous thromboembolism risk and prophylaxis in the acute hospital care setting (ENDORSE study): a multinational cross‐sectional study. Lancet. 2008;371(9610):387–394.
- , . Practices to prevent venous thromboembolism: a brief review. BMJ Qual Saf. 2014;23(3):187–195.
- , , , et al. Improving hospital venous thromboembolism prophylaxis with electronic decision support. J Hosp Med. 2013;8(3):115–120.
- , , . Innovative approaches to increase deep vein thrombosis prophylaxis rate resulting in a decrease in hospital‐acquired deep vein thrombosis at a tertiary‐care teaching hospital. J Hosp Med. 2008;3(2):148–155.
- , , , et al. Lessons from the Johns Hopkins Multi‐Disciplinary Venous Thromboembolism (VTE) Prevention Collaborative. BMJ. 2012;344:e3935.
- , , , et al. Improved prophylaxis and decreased rates of preventable harm with the use of a mandatory computerized clinical decision support tool for prophylaxis for venous thromboembolism in trauma. Arch Surg. 2012;147(10):901–907.
- , . Designing and implementing effective venous thromboembolism prevention protocols: lessons from collaborative efforts. J Thromb Thrombolysis. 2010;29(2):159–166.
- , , , et al. Impact of a venous thromboembolism prophylaxis "smart order set": improved compliance, fewer events. Am J Hematol. 2013;88(7):545–549.
- , . Improving adherence to venous thromoembolism prophylaxis using multiple interventions. BMJ. 2012;344:e3935.
- Health Resources and Services Administration of the U.S. Department of Health and Human Services. Managing data for performance improvement. Available at: http://www.hrsa.gov/quality/toolbox/methodology/performanceimprovement/part2.html. Accessed December 18, 2014.
- , . Improving patient safety by taking systems seriously. JAMA. 2008;299(4):445–447.
- , , , . Growth in the care of older patients by hospitalists in the United States. N Engl J Med. 2009;360(11):1102–1112.
- , , , et al. Prevention of venous thromboembolism: American College of Chest Physicians evidence‐based clinical practice guidelines (8th edition). Chest. 2008;133(6 suppl):381S–453S.
- . Robust locally weighted regression and smoothing scatterplots. J Am Stat Assoc. 1979;74(368):829–836.
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- , , , et al. Eliminating healthcare disparities via mandatory clinical decision support: the venous thromboembolism (VTE) example [published online ahead of print November 4, 2014]. Med Care. doi: 10.1097/MLR.0000000000000251.
- Joint Commission. Improving America's hospitals: the Joint Commission's annual report on quality and safety. 2012. Available at: http://www.jointcommission.org/assets/1/18/TJC_Annual_Report_2012.pdf. Accessed September 8, 2013.
- , , , et al. Hospital performance for pharmacologic venous thromboembolism prophylaxis and rate of venous thromboembolism: a cohort study. JAMA Intern Med. 2014;174(10):1577–1584.
- , , , et al. Incidence of hospital‐acquired venous thromboembolic codes in medical patients hospitalized in academic medical centers. J Hosp Med. 2014;9(4):221–225.
- , , , , . No association between hospital‐reported perioperative venous thromboembolism prophylaxis and outcome rates in publicly reported data. JAMA Surg. 2014;149(4):400–401.
- , , , , . Linking processes and outcomes: a key strategy to prevent and report harm from venous thromboembolism in surgical patients. JAMA Surg. 2013;148(3):299–300.
- , , , et al. Patterns of non‐administration of ordered doses of venous thromboembolism prophylaxis: implications for novel intervention strategies. PLoS One. 2013;8(6):e66311.
- , , , et al. Nonadministration of thromboprophylaxis in hospitalized patients with HIV: a missed opportunity for prevention? J Hosp Med. 2014;9(4):215–220.
- , , , et al. Evaluation of surveillance bias and the validity of the venous thromboembolism quality measure. JAMA. 2013;310(14):1482–1489.
- , . Surveillance bias in outcomes reporting. JAMA. 2011;305(23):2462–2463.
- . Pay for performance in health care: an international overview of initiatives. Med Care Res Rev. 2012;69(3):251–276.
The Affordable Care Act explicitly outlines improving the value of healthcare by increasing quality and decreasing costs. It emphasizes value‐based purchasing, the transparency of performance metrics, and the use of payment incentives to reward quality.[1, 2] Venous thromboembolism (VTE) prophylaxis is one of these publicly reported performance measures. The National Quality Forum recommends that each patient be evaluated on hospital admission and during their hospitalization for VTE risk level and for appropriate thromboprophylaxis to be used, if required.[3] Similarly, the Joint Commission includes appropriate VTE prophylaxis in its Core Measures.[4] Patient experience and performance metrics, including VTE prophylaxis, constitute the hospital value‐based purchasing (VBP) component of healthcare reform.[5] For a hypothetical 327‐bed hospital, an estimated $1.7 million of a hospital's inpatient payments from Medicare will be at risk from VBP alone.[2]
VTE prophylaxis is a common target of quality improvement projects. Effective, safe, and cost‐effective measures to prevent VTE exist, including pharmacologic and mechanical prophylaxis.[6, 7] Despite these measures, compliance rates are often below 50%.[8] Different interventions have been pursued to ensure appropriate VTE prophylaxis, including computerized provider order entry (CPOE), electronic alerts, mandatory VTE risk assessment and prophylaxis, and provider education campaigns.[9] Recent studies show that CPOE systems with mandatory fields can increase VTE prophylaxis rates to above 80%, yet the goal of a high reliability health system is for 100% of patients to receive recommended therapy.[10, 11, 12, 13, 14, 15] Interventions to improve prophylaxis rates that have included multiple strategies, such as computerized order sets, feedback, and education, have been the most effective, increasing compliance to above 90%.[9, 11, 16] These systems can be enhanced with additional interventions such as providing individualized provider education and feedback, understanding of work flow, and ensuring patients receive the prescribed therapies.[12] For example, a physician dashboard could be employed to provide a snapshot and historical trend of key performance indicators using graphical displays and indicators.[17]
Dashboards and pay‐for‐performance programs have been increasingly used to increase the visibility of these metrics, provide feedback, visually display benchmarks and goals, and proactively monitor for achievements and setbacks.[18] Although these strategies are often addressed at departmental (or greater) levels, applying them at the level of the individual provider may assist hospitals in reducing preventable harm and achieving safety and quality goals, especially at higher benchmarks. With their expanding role, hospitalists provide a key opportunity to lead improvement efforts and to study the impact of dashboards and pay‐for performance at the provider level to achieve VTE prophylaxis performance targets. Hospitalists are often the front‐line provider for inpatients and deliver up to 70% of inpatient general medical services.[19] The objective of our study was to evaluate the impact of providing individual provider feedback and employing a pay‐for‐performance program on baseline performance of VTE prophylaxis among hospitalists. We hypothesized that performance feedback through the use of a dashboard would increase appropriate VTE prophylaxis, and this effect would be further augmented by incorporation of a pay‐for‐performance program.
METHODS
Hospitalist Dashboard
In 2010, hospitalist program leaders met with hospital administrators to create a hospitalist dashboard that would provide regularly updated summaries of performance measures for individual hospitalists. The final set of metrics identified included appropriate VTE prophylaxis, length of stay, patients discharged per day, discharges before 3 pm, depth of coding, patient satisfaction, readmissions, communication with the primary care provider, and time to signature for discharge summaries (Figure 1A). The dashboard was introduced at a general hospitalist meeting during which its purpose, methodology, and accessibility were described; it was subsequently implemented in January 2011.
Benchmarks were established for each metric, standardized to establish a scale ranging from 1 through 9, and incorporated into the dashboard (Figure 1A). Higher scores (creating a larger geometric shape) were desirable. For the VTE prophylaxis measure, scores of 1 through 9 corresponded to <60%, 60% to 64.9%, 65% to 69.9%, 70% to 74.9%, 75% to 79.9%, 80% to 84.9%, 85% to 89.9%, 90% to 94.9%, and 95% American College of Chest Physicians (ACCP)‐compliant VTE prophylaxis, respectively.[12, 20] Each provider was able to access the aggregated dashboard (showing the group mean) and his/her individualized dashboard using an individualized login and password for the institutional portal. This portal is used during the provider's workflow, including medical record review and order entry. Both a polygonal summary graphic (Figure 1A) and trend (Figure 1B) view of the dashboard were available to the provider. A comparison of the individual provider to the hospitalist group average was displayed (Figure 1A). At monthly program meetings, the dashboard, group results, and trends were discussed.
Venous Thromboembolism Prophylaxis Compliance
Our study was performed in a tertiary academic medical center with an approximately 20‐member hospitalist group (the precise membership varied over time), whose responsibilities include, among other clinical duties, staffing a 17‐bed general medicine unit with telemetry. The scope of diagnoses and acuity of patients admitted to the hospitalist service is similar to the housestaff services. Some hospitalist faculty serve both as hospitalist and nonhospitalist general medicine service team attendings, but the comparison groups were staffed by hospitalists for <20% of the time. For admissions, all hospitalists use a standardized general medicine admission order set that is integrated into the CPOE system (Sunrise Clinical Manager; Allscripts, Chicago, IL) and completed for all admitted patients. A mandatory VTE risk screen, which includes an assessment of VTE risk factors and pharmacological prophylaxis contraindications, must be completed by the ordering physician as part of this order set (Figure 2A). The system then prompts the provider with a risk‐appropriate VTE prophylaxis recommendation that the provider may subsequently order, including mechanical prophylaxis (Figure 2B). Based on ACCP VTE prevention guidelines, risk‐appropriate prophylaxis was determined using an electronic algorithm that categorized patients into risk categories based on the presence of major VTE risk factors (Figure 2A).[12, 15, 20] If none of these were present, the provider selected No major risk factors known. Both an assessment of current use of anticoagulation and a clinically high risk of bleeding were also included (Figure 2A). If none of these were present, the provider selected No contraindications known. This algorithm is published in detail elsewhere and has been shown to not increase major bleeding episodes.[12, 15] The VTE risk assessment, but not the VTE order itself, was a mandatory field. This allowed the physician discretion to choose among various pharmacological agents and mechanical mechanisms based on patient and physician preferences.
Compliance of risk‐appropriate VTE prophylaxis was determined 24 hours after the admission order set was completed using an automated electronic query of the CPOE system. Low molecular‐weight heparin prescription was included in the compliance algorithm as acceptable prophylaxis. Prescription of pharmacological VTE prophylaxis when a contraindication was present was considered noncompliant. The metric was assigned to the attending physician who billed for the first inpatient encounter.
Pay‐for‐Performance Program
In July 2011, a pay‐for‐performance program was added to the dashboard. All full‐time and part‐time hospitalists were eligible. The financial incentive was determined according to hospital priority and funds available. The VTE prophylaxis metric was prorated by clinical effort, with a maximum of $0.50 per work relative value unit (RVU). To optimize performance, a threshold of 80% compliance had to be surpassed before any payment was made. Progressively increasing percentages of the incentive were earned as compliance increased from 80% to 100%, corresponding to dashboard scores of 6, 7, 8, and 9: <80% (scores 1 to 5)=no payment; 80% to 84.9% (score 6)=$0.125 per RVU; 85% to 89.9% (score 7)=$0.25 per RVU; 90% to 94.9% (score 8)=$0.375 per RVU; and 95% (score 9)=$0.50 per RVU (maximum incentive). Payments were accrued quarterly and paid at the end of the fiscal year as a cumulative, separate performance supplement.
Individualized physician feedback through the dashboard was continued during the pay‐for‐performance period. Average hospitalist group compliance continued to be displayed on the electronic dashboard and was explicitly reviewed at monthly hospitalist meetings.
The VTE prophylaxis order set and data collection and analyses were approved by the Johns Hopkins Medicine Institutional Review Board. The dashboard and pay‐for‐performance program were initiated by the institution as part of a proof of concept quality improvement project.
Analysis
We examined all inpatient admissions to the hospitalist unit from 2008 to 2012. We included patients admitted to and discharged from the hospitalist unit and excluded patients transferred into/out of the unit and encounters with a length of stay <24 hours. VTE prophylaxis orders were queried from the CPOE system 24 hours after the patient was admitted to determine compliance.
After allowing for a run‐in period (2008), we analyzed the change in percent compliance for 3 periods: (1) CPOE‐based VTE order set alone (baseline [BASE], January 2009 to December 2010); (2) group and individual physician feedback using the dashboard (dashboard only [DASH], January to June 2011); and (3) dashboard tied to the pay‐for‐performance program (dashboard with pay‐for‐performance [P4P], July 2011 to December 2012). The CPOE‐based VTE order set was used during all 3 periods. We used the other medical services as a control to ensure that there were no temporal trends toward improved prophylaxis on a service without the intervention. VTE prophylaxis compliance was examined by calculating percent compliance using the same algorithm for the 4 resident‐staffed general medicine service teams at our institution, which utilized the same CPOE system but did not receive the dashboard or pay‐for‐performance interventions. We used locally weighted scatterplot smoothing, a locally weighted regression of percent compliance over time, to graphically display changes in group compliance over time.[21, 22]
We also performed linear regression to assess the rate of change in group compliance and included spline terms that allowed slope to vary for each of the 3 time periods.[23, 24] Clustered analysis accounted for potentially correlated serial measurements of compliance for an individual provider. A separate analysis examined the effect of provider turnover and individual provider improvement during each of the 3 periods. Tests of significance were 2‐sided, with an level of 0.05. Statistical analysis was performed using Stata 12.1 (StataCorp LP, College Station, TX).
RESULTS
Venous Thromboembolism Prophylaxis Compliance
We analyzed 3144 inpatient admissions by 38 hospitalists from 2009 to 2012. The 5 most frequent coded diagnoses were heart failure, acute kidney failure, syncope, pneumonia, and chest pain. Patients had a median length of stay of 3 days [interquartile range: 26]. During the dashboard‐only period, on average, providers improved in compliance by 4% (95% confidence interval [CI]: 35; P<0.001). With the addition of the pay‐for‐performance program, providers improved by an additional 4% (95% CI: 35; P<0.001). Group compliance significantly improved from 86% (95% CI: 8588) during the BASE period of the CPOE‐based VTE order set to 90% (95% CI: 8893) during the DASH period (P=0.01) and 94% (95% CI: 9396) during the subsequent P4P program (P=0.01) (Figure 3). Both inappropriate prophylaxis and lack of prophylaxis, when indicated, resulted in a non‐compliance rating. During the 3 periods, inappropriate prophylaxis decreased from 7.9% to 6.2% to 2.6% during the BASE, DASH, and subsequent P4P periods, respectively. Similarly, lack of prophylaxis when indicated decreased from 6.1% to 3.2% to 3.1% during the BASE, DASH, and subsequent P4P periods, respectively.
The average compliance of the 4 non‐hospitalist general medicine service teams was initially higher than that of the hospitalist service during the CPOE‐based VTE order set (90%) and DASH (92%) periods, but subsequently plateaued and was exceeded by the hospitalist service during the combined P4P (92%) period (Figure 3). However, there was no statistically significant difference between the general medicine service teams and hospitalist service during the DASH (P=0.15) and subsequent P4P (P=0.76) periods.
We also analyzed the rate of VTE prophylaxis compliance improvement (slope) with cut points at each time period transition (Figure 3). Risk‐appropriate VTE prophylaxis during the BASE period did not exhibit significant improvement as indicated by the slope (P=0.23) (Figure 3). In contrast, during the DASH period, VTE prophylaxis compliance significantly increased by 1.58% per month (95% CI: 0.41‐2.76; P=0.01). The addition of the P4P program, however, did not further significantly increase the rate of compliance (P=0.78).
A subgroup analysis restricted to the 19 providers present during all 3 periods was performed to assess for potential confounding from physician turnover. The percent compliance increased in a similar fashion: BASE period of CPOE‐based VTE order set, 85% (95% CI: 8386); DASH, 90% (95% CI: 8893); and P4P, 94% (95% CI: 9296).
Pay‐for‐Performance Program
Nineteen providers met the threshold for pay‐for‐performance (80% appropriate VTE prophylaxis), with 9 providers in the intermediate categories (80%94.9%) and 10 in the full incentive category (95%). The mean individual payout for the incentive was $633 (standard deviation 350), with a total disbursement of $12,029. The majority of payments (17 of 19) were under $1000.
DISCUSSION
A key component of healthcare reform has been value‐based purchasing, which emphasizes extrinsic motivation through the transparency of performance metrics and use of payment incentives to reward quality. Our study evaluates the impact of both extrinsic (payments) and intrinsic (professionalism and peer norms) motivation. It specifically attributed an individual performance metric, VTE prophylaxis, to an attending physician, provided both individualized and group feedback using an electronic dashboard, and incorporated a pay‐for‐performance program. Prescription of risk‐appropriate VTE prophylaxis significantly increased with the implementation of the dashboard and subsequent pay‐for performance program. The fastest rate of improvement occurred after the addition of the dashboard. Sensitivity analyses for provider turnover and comparisons to the general medicine services showed our results to be independent of a general trend of improvement, both at the provider and institutional levels.
Our prior studies demonstrated that order sets significantly improve performance, from a baseline compliance of risk‐appropriate VTE prophylaxis of 66% to 84%.[13, 15, 25] In the current study, compliance was relatively flat during the BASE period, which included these order sets. The greatest rate of continued improvement in compliance occurred during the DASH period, emphasizing both the importance of provider feedback and receptivity and adaptability in the prescribing behavior of hospitalists. Because the goal of a high‐reliability health system is for 100% of patients to receive recommended therapy, multiple approaches are necessary for success.
Nationally, benchmarks for performance measures continue to be raised, with the highest performers achieving above 95%.[26] Additional interventions, such as dashboards and pay‐for‐performance programs, supplement CPOE systems to achieve high reliability. In our study, the compliance rate during the baseline period, which included a CPOE‐based, clinical support‐enabled VTE order set, was 86%. Initially the compliance of the general medicine teams with residents exceeded that of the hospitalist attending teams, which may reflect a greater willingness of resident teams to comply with order sets and automated recommendations. This emphasizes the importance of continuous individual feedback and provider education at the attending physician level to enhance both guideline compliance and decrease provider care variation. Ultimately, with the addition of the dashboard and subsequent pay‐for‐performance program, compliance was increased to 90% and 94%, respectively. Although the major mechanism used by policymakers to improve quality of care is extrinsic motivation, this study demonstrates that intrinsic motivation through peer norms can enhance extrinsic efforts and may be more influential. Both of these programs, dashboards and pay‐for‐performance, may ultimately assist institutions in changing provider behavior and achieving these harder‐to‐achieve higher benchmarks.
We recognize that there are several limitations to our study. First, this is a single‐site program limited to an attending‐physician‐only service. There was strong data support and a defined CPOE algorithm for this initiative. Multi‐site studies will need to overcome the additional challenges of varying service structures and electronic medical record and provider order entry systems. Second, it is difficult to show actual changes in VTE events over time with appropriate prophylaxis. Although VTE prophylaxis is recommended for patients with VTE risk factors, there are conflicting findings about whether prophylaxis prevents VTE events in lower‐risk patients, and current studies suggest that most patients with VTE events are severely ill and develop VTE despite receiving prophylaxis.[27, 28, 29] Our study was underpowered to detect these potential differences in VTE rates, and although the algorithm has been shown to not increase bleeding rates, we did not measure bleeding rates during this study.[12, 15] Our institutional experience suggests that the majority of VTE events occur despite appropriate prophylaxis.[30] Also, VTE prophylaxis may be ordered, but intervening events, such as procedures and changes in risk status or patient refusal, may prevent patients from receiving appropriate prophylaxis.[31, 32] Similarly, hospitals with higher quality scores have higher VTE prophylaxis rates but worse risk‐adjusted VTE rates, which may result from increased surveillance for VTE, suggesting surveillance bias limits the usefulness of the VTE quality measure.[33, 34] Nevertheless, VTE prophylaxis remains a publicly reported Core Measure tied to financial incentives.[4, 5] Third, there may be an unmeasured factor specific to the hospitalist program, which could potentially account for an overall improvement in quality of care. Although the rate of increase in appropriate prophylaxis was not statistically significant during the baseline period, there did appear to be some improvement in prophylaxis toward the end of the period. However, there were no other VTE‐related provider feedback programs being simultaneously pursued during this study. VTE prophylaxis for the non‐hospitalist services showed a relatively stable, non‐increasing compliance rate for the general medical services. Although it was possible for successful residents to age into the hospitalist service, thereby improving rates of prophylaxis based on changes in group makeup, our subgroup analysis of the providers present throughout all phases of the study showed our results to be robust. Similarly, there may have been a cross‐contamination effect of hospitalist faculty who attended on both hospitalist and non‐hospitalist general medicine service teams. This, however, would attenuate any impact of the programs, and thus the effects may in fact be greater than reported. Fourth, establishment of both the dashboard and pay‐for‐performance program required significant institutional and program leadership and resources. To be successful, the dashboard must be in the provider's workflow, transparent, minimize reporter burden, use existing systems, and be actively fed back to providers, ideally those directly entering orders. Our greatest rate of improvement occurred during the feedback‐only phase of this study, emphasizing the importance of physician feedback, provider‐level accountability, and engagement. We suspect that the relatively modest pay‐for‐performance incentive served mainly as a means of engaging providers in self‐monitoring, rather than as a means to change behavior through true incentivization. Although we did not track individual physician views of the dashboard, we reinforced trends, deviations, and expectations at regularly scheduled meetings and provided feedback and patient‐level data to individual providers. Fifth, the design of the pay‐for‐performance program may have also influenced its effectiveness. These types of programs may be more effective when they provide frequent visible, small payments rather than one large payment, and when the payment is framed as a loss rather than a gain.[35] Finally, physician champions and consistent feedback through departmental meetings or visual displays may be required for program success. The initial resources to create the dashboard, continued maintenance and monitoring of performance, and payment of financial incentives all require institutional commitment. A partnership of physicians, program leaders, and institutional administrators is necessary for both initial and continued success.
To achieve performance goals and benchmarks, multiple strategies that combine extrinsic and intrinsic motivation are necessary. As shown by our study, the use of a dashboard and pay‐for‐performance can be tailored to an institution's goals, in line with national standards. The specific goal (risk‐appropriate VTE prophylaxis) and benchmarks (80%, 85%, 90%, 95%) can be individualized to a particular institution. For example, if readmission rates are above target, readmissions could be added as a dashboard metric. The specific benchmark would be determined by historical trends and administrative targets. Similarly, the overall financial incentives could be adjusted based on the financial resources available. Other process measures, such as influenza vaccination screening and administration, could also be targeted. For all of these objectives, continued provider feedback and engagement are critical for progressive success, especially to decrease variability in care at the attending physician level. Incorporating the value‐based purchasing philosophy from the Affordable Care Act, our study suggests that the combination of standardized order sets, real‐time dashboards, and physician‐level incentives may assist hospitals in achieving quality and safety benchmarks, especially at higher targets.
Acknowledgements
The authors thank Meir Gottlieb, BS, from Salar Inc. for data support; Murali Padmanaban, BS, from Johns Hopkins University for his assistance in linking the administrative billing data with real‐time physician orders; and Hsin‐Chieh Yeh, PhD, from the Bloomberg School of Public Health for her statistical advice and additional review. We also thank Mr. Ronald R. Peterson, President, Johns Hopkins Health System and Johns Hopkins Hospital, for providing funding support for the physician incentive payments.
Disclosures: Drs. Michtalik and Brotman had full access to all of the data in the study and take responsibility for the integrity of the data and accuracy of the data analysis. Study concept and design: Drs. Michtalik, Streiff, Finkelstein, Pronovost, and Brotman. Acquisition of data: Drs. Michtalik, Streiff, Brotman and Mr. Carolan, Mr. Lau, Mrs. Durkin. Analysis and interpretation of data: Drs. Michtalik, Haut, Streiff, Brotman and Mr. Carolan, Mr. Lau. Drafting of the manuscript: Drs. Michtalik and Brotman. Critical revision of the manuscript for important intellectual content: Drs. Michtalik, Haut, Streiff, Finkelstein, Pronovost, Brotman and Mr. Carolan, Mr. Lau, Mrs. Durkin. Statistical analysis and supervision: Drs. Michtalik and Brotman. Obtaining funding: Drs. Streiff and Brotman. Technical support: Dr. Streiff and Mr. Carolan, Mr. Lau, Mrs. Durkin
This study was supported by a National Institutes of Health grant T32 HP10025‐17‐00 (Dr. Michtalik), the National Institutes of Health/Johns Hopkins Institute for Clinical and Translational Research KL2 Award 5KL2RR025006 (Dr. Michtalik), the Agency for Healthcare Research and Quality Mentored Clinical Scientist Development K08 Awards 1K08HS017952‐01 (Dr. Haut) and 1K08HS022331‐01A1 (Dr. Michtalik), and the Johns Hopkins Hospitalist Scholars Fund. The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
Dr. Haut receives royalties from Lippincott, Williams & Wilkins. Dr. Streiff has received research funding from Portola and Bristol Myers Squibb, honoraria for CME lectures from Sanofi‐Aventis and Ortho‐McNeil, consulted for Eisai, Daiichi‐Sankyo, Boerhinger‐Ingelheim, Janssen Healthcare, and Pfizer. Mr. Lau, Drs. Haut, Streiff, and Pronovost are supported by a contract from the Patient‐Centered Outcomes Research Institute (PCORI) titled Preventing Venous Thromboembolism: Empowering Patients and Enabling Patient‐Centered Care via Health Information Technology (CE‐12‐11‐4489). Dr. Brotman has received research support from Siemens Healthcare Diagnostics, Bristol‐Myers Squibb, the Agency for Healthcare Research and Quality, Centers for Medicare & Medicaid Services, the Amerigroup Corporation, and the Guerrieri Family Foundation. He has received honoraria from the Gerson Lehrman Group, the Dunn Group, and from Quantia Communications, and received royalties from McGraw‐Hill.
The Affordable Care Act explicitly outlines improving the value of healthcare by increasing quality and decreasing costs. It emphasizes value‐based purchasing, the transparency of performance metrics, and the use of payment incentives to reward quality.[1, 2] Venous thromboembolism (VTE) prophylaxis is one of these publicly reported performance measures. The National Quality Forum recommends that each patient be evaluated on hospital admission and during their hospitalization for VTE risk level and for appropriate thromboprophylaxis to be used, if required.[3] Similarly, the Joint Commission includes appropriate VTE prophylaxis in its Core Measures.[4] Patient experience and performance metrics, including VTE prophylaxis, constitute the hospital value‐based purchasing (VBP) component of healthcare reform.[5] For a hypothetical 327‐bed hospital, an estimated $1.7 million of a hospital's inpatient payments from Medicare will be at risk from VBP alone.[2]
VTE prophylaxis is a common target of quality improvement projects. Effective, safe, and cost‐effective measures to prevent VTE exist, including pharmacologic and mechanical prophylaxis.[6, 7] Despite these measures, compliance rates are often below 50%.[8] Different interventions have been pursued to ensure appropriate VTE prophylaxis, including computerized provider order entry (CPOE), electronic alerts, mandatory VTE risk assessment and prophylaxis, and provider education campaigns.[9] Recent studies show that CPOE systems with mandatory fields can increase VTE prophylaxis rates to above 80%, yet the goal of a high reliability health system is for 100% of patients to receive recommended therapy.[10, 11, 12, 13, 14, 15] Interventions to improve prophylaxis rates that have included multiple strategies, such as computerized order sets, feedback, and education, have been the most effective, increasing compliance to above 90%.[9, 11, 16] These systems can be enhanced with additional interventions such as providing individualized provider education and feedback, understanding of work flow, and ensuring patients receive the prescribed therapies.[12] For example, a physician dashboard could be employed to provide a snapshot and historical trend of key performance indicators using graphical displays and indicators.[17]
Dashboards and pay‐for‐performance programs have been increasingly used to increase the visibility of these metrics, provide feedback, visually display benchmarks and goals, and proactively monitor for achievements and setbacks.[18] Although these strategies are often addressed at departmental (or greater) levels, applying them at the level of the individual provider may assist hospitals in reducing preventable harm and achieving safety and quality goals, especially at higher benchmarks. With their expanding role, hospitalists provide a key opportunity to lead improvement efforts and to study the impact of dashboards and pay‐for performance at the provider level to achieve VTE prophylaxis performance targets. Hospitalists are often the front‐line provider for inpatients and deliver up to 70% of inpatient general medical services.[19] The objective of our study was to evaluate the impact of providing individual provider feedback and employing a pay‐for‐performance program on baseline performance of VTE prophylaxis among hospitalists. We hypothesized that performance feedback through the use of a dashboard would increase appropriate VTE prophylaxis, and this effect would be further augmented by incorporation of a pay‐for‐performance program.
METHODS
Hospitalist Dashboard
In 2010, hospitalist program leaders met with hospital administrators to create a hospitalist dashboard that would provide regularly updated summaries of performance measures for individual hospitalists. The final set of metrics identified included appropriate VTE prophylaxis, length of stay, patients discharged per day, discharges before 3 pm, depth of coding, patient satisfaction, readmissions, communication with the primary care provider, and time to signature for discharge summaries (Figure 1A). The dashboard was introduced at a general hospitalist meeting during which its purpose, methodology, and accessibility were described; it was subsequently implemented in January 2011.
Benchmarks were established for each metric, standardized to establish a scale ranging from 1 through 9, and incorporated into the dashboard (Figure 1A). Higher scores (creating a larger geometric shape) were desirable. For the VTE prophylaxis measure, scores of 1 through 9 corresponded to <60%, 60% to 64.9%, 65% to 69.9%, 70% to 74.9%, 75% to 79.9%, 80% to 84.9%, 85% to 89.9%, 90% to 94.9%, and 95% American College of Chest Physicians (ACCP)‐compliant VTE prophylaxis, respectively.[12, 20] Each provider was able to access the aggregated dashboard (showing the group mean) and his/her individualized dashboard using an individualized login and password for the institutional portal. This portal is used during the provider's workflow, including medical record review and order entry. Both a polygonal summary graphic (Figure 1A) and trend (Figure 1B) view of the dashboard were available to the provider. A comparison of the individual provider to the hospitalist group average was displayed (Figure 1A). At monthly program meetings, the dashboard, group results, and trends were discussed.
Venous Thromboembolism Prophylaxis Compliance
Our study was performed in a tertiary academic medical center with an approximately 20‐member hospitalist group (the precise membership varied over time), whose responsibilities include, among other clinical duties, staffing a 17‐bed general medicine unit with telemetry. The scope of diagnoses and acuity of patients admitted to the hospitalist service is similar to the housestaff services. Some hospitalist faculty serve both as hospitalist and nonhospitalist general medicine service team attendings, but the comparison groups were staffed by hospitalists for <20% of the time. For admissions, all hospitalists use a standardized general medicine admission order set that is integrated into the CPOE system (Sunrise Clinical Manager; Allscripts, Chicago, IL) and completed for all admitted patients. A mandatory VTE risk screen, which includes an assessment of VTE risk factors and pharmacological prophylaxis contraindications, must be completed by the ordering physician as part of this order set (Figure 2A). The system then prompts the provider with a risk‐appropriate VTE prophylaxis recommendation that the provider may subsequently order, including mechanical prophylaxis (Figure 2B). Based on ACCP VTE prevention guidelines, risk‐appropriate prophylaxis was determined using an electronic algorithm that categorized patients into risk categories based on the presence of major VTE risk factors (Figure 2A).[12, 15, 20] If none of these were present, the provider selected No major risk factors known. Both an assessment of current use of anticoagulation and a clinically high risk of bleeding were also included (Figure 2A). If none of these were present, the provider selected No contraindications known. This algorithm is published in detail elsewhere and has been shown to not increase major bleeding episodes.[12, 15] The VTE risk assessment, but not the VTE order itself, was a mandatory field. This allowed the physician discretion to choose among various pharmacological agents and mechanical mechanisms based on patient and physician preferences.
Compliance of risk‐appropriate VTE prophylaxis was determined 24 hours after the admission order set was completed using an automated electronic query of the CPOE system. Low molecular‐weight heparin prescription was included in the compliance algorithm as acceptable prophylaxis. Prescription of pharmacological VTE prophylaxis when a contraindication was present was considered noncompliant. The metric was assigned to the attending physician who billed for the first inpatient encounter.
Pay‐for‐Performance Program
In July 2011, a pay‐for‐performance program was added to the dashboard. All full‐time and part‐time hospitalists were eligible. The financial incentive was determined according to hospital priority and funds available. The VTE prophylaxis metric was prorated by clinical effort, with a maximum of $0.50 per work relative value unit (RVU). To optimize performance, a threshold of 80% compliance had to be surpassed before any payment was made. Progressively increasing percentages of the incentive were earned as compliance increased from 80% to 100%, corresponding to dashboard scores of 6, 7, 8, and 9: <80% (scores 1 to 5)=no payment; 80% to 84.9% (score 6)=$0.125 per RVU; 85% to 89.9% (score 7)=$0.25 per RVU; 90% to 94.9% (score 8)=$0.375 per RVU; and 95% (score 9)=$0.50 per RVU (maximum incentive). Payments were accrued quarterly and paid at the end of the fiscal year as a cumulative, separate performance supplement.
Individualized physician feedback through the dashboard was continued during the pay‐for‐performance period. Average hospitalist group compliance continued to be displayed on the electronic dashboard and was explicitly reviewed at monthly hospitalist meetings.
The VTE prophylaxis order set and data collection and analyses were approved by the Johns Hopkins Medicine Institutional Review Board. The dashboard and pay‐for‐performance program were initiated by the institution as part of a proof of concept quality improvement project.
Analysis
We examined all inpatient admissions to the hospitalist unit from 2008 to 2012. We included patients admitted to and discharged from the hospitalist unit and excluded patients transferred into/out of the unit and encounters with a length of stay <24 hours. VTE prophylaxis orders were queried from the CPOE system 24 hours after the patient was admitted to determine compliance.
After allowing for a run‐in period (2008), we analyzed the change in percent compliance for 3 periods: (1) CPOE‐based VTE order set alone (baseline [BASE], January 2009 to December 2010); (2) group and individual physician feedback using the dashboard (dashboard only [DASH], January to June 2011); and (3) dashboard tied to the pay‐for‐performance program (dashboard with pay‐for‐performance [P4P], July 2011 to December 2012). The CPOE‐based VTE order set was used during all 3 periods. We used the other medical services as a control to ensure that there were no temporal trends toward improved prophylaxis on a service without the intervention. VTE prophylaxis compliance was examined by calculating percent compliance using the same algorithm for the 4 resident‐staffed general medicine service teams at our institution, which utilized the same CPOE system but did not receive the dashboard or pay‐for‐performance interventions. We used locally weighted scatterplot smoothing, a locally weighted regression of percent compliance over time, to graphically display changes in group compliance over time.[21, 22]
We also performed linear regression to assess the rate of change in group compliance and included spline terms that allowed slope to vary for each of the 3 time periods.[23, 24] Clustered analysis accounted for potentially correlated serial measurements of compliance for an individual provider. A separate analysis examined the effect of provider turnover and individual provider improvement during each of the 3 periods. Tests of significance were 2‐sided, with an level of 0.05. Statistical analysis was performed using Stata 12.1 (StataCorp LP, College Station, TX).
RESULTS
Venous Thromboembolism Prophylaxis Compliance
We analyzed 3144 inpatient admissions by 38 hospitalists from 2009 to 2012. The 5 most frequent coded diagnoses were heart failure, acute kidney failure, syncope, pneumonia, and chest pain. Patients had a median length of stay of 3 days [interquartile range: 26]. During the dashboard‐only period, on average, providers improved in compliance by 4% (95% confidence interval [CI]: 35; P<0.001). With the addition of the pay‐for‐performance program, providers improved by an additional 4% (95% CI: 35; P<0.001). Group compliance significantly improved from 86% (95% CI: 8588) during the BASE period of the CPOE‐based VTE order set to 90% (95% CI: 8893) during the DASH period (P=0.01) and 94% (95% CI: 9396) during the subsequent P4P program (P=0.01) (Figure 3). Both inappropriate prophylaxis and lack of prophylaxis, when indicated, resulted in a non‐compliance rating. During the 3 periods, inappropriate prophylaxis decreased from 7.9% to 6.2% to 2.6% during the BASE, DASH, and subsequent P4P periods, respectively. Similarly, lack of prophylaxis when indicated decreased from 6.1% to 3.2% to 3.1% during the BASE, DASH, and subsequent P4P periods, respectively.
The average compliance of the 4 non‐hospitalist general medicine service teams was initially higher than that of the hospitalist service during the CPOE‐based VTE order set (90%) and DASH (92%) periods, but subsequently plateaued and was exceeded by the hospitalist service during the combined P4P (92%) period (Figure 3). However, there was no statistically significant difference between the general medicine service teams and hospitalist service during the DASH (P=0.15) and subsequent P4P (P=0.76) periods.
We also analyzed the rate of VTE prophylaxis compliance improvement (slope) with cut points at each time period transition (Figure 3). Risk‐appropriate VTE prophylaxis during the BASE period did not exhibit significant improvement as indicated by the slope (P=0.23) (Figure 3). In contrast, during the DASH period, VTE prophylaxis compliance significantly increased by 1.58% per month (95% CI: 0.41‐2.76; P=0.01). The addition of the P4P program, however, did not further significantly increase the rate of compliance (P=0.78).
A subgroup analysis restricted to the 19 providers present during all 3 periods was performed to assess for potential confounding from physician turnover. The percent compliance increased in a similar fashion: BASE period of CPOE‐based VTE order set, 85% (95% CI: 8386); DASH, 90% (95% CI: 8893); and P4P, 94% (95% CI: 9296).
Pay‐for‐Performance Program
Nineteen providers met the threshold for pay‐for‐performance (80% appropriate VTE prophylaxis), with 9 providers in the intermediate categories (80%94.9%) and 10 in the full incentive category (95%). The mean individual payout for the incentive was $633 (standard deviation 350), with a total disbursement of $12,029. The majority of payments (17 of 19) were under $1000.
DISCUSSION
A key component of healthcare reform has been value‐based purchasing, which emphasizes extrinsic motivation through the transparency of performance metrics and use of payment incentives to reward quality. Our study evaluates the impact of both extrinsic (payments) and intrinsic (professionalism and peer norms) motivation. It specifically attributed an individual performance metric, VTE prophylaxis, to an attending physician, provided both individualized and group feedback using an electronic dashboard, and incorporated a pay‐for‐performance program. Prescription of risk‐appropriate VTE prophylaxis significantly increased with the implementation of the dashboard and subsequent pay‐for performance program. The fastest rate of improvement occurred after the addition of the dashboard. Sensitivity analyses for provider turnover and comparisons to the general medicine services showed our results to be independent of a general trend of improvement, both at the provider and institutional levels.
Our prior studies demonstrated that order sets significantly improve performance, from a baseline compliance of risk‐appropriate VTE prophylaxis of 66% to 84%.[13, 15, 25] In the current study, compliance was relatively flat during the BASE period, which included these order sets. The greatest rate of continued improvement in compliance occurred during the DASH period, emphasizing both the importance of provider feedback and receptivity and adaptability in the prescribing behavior of hospitalists. Because the goal of a high‐reliability health system is for 100% of patients to receive recommended therapy, multiple approaches are necessary for success.
Nationally, benchmarks for performance measures continue to be raised, with the highest performers achieving above 95%.[26] Additional interventions, such as dashboards and pay‐for‐performance programs, supplement CPOE systems to achieve high reliability. In our study, the compliance rate during the baseline period, which included a CPOE‐based, clinical support‐enabled VTE order set, was 86%. Initially the compliance of the general medicine teams with residents exceeded that of the hospitalist attending teams, which may reflect a greater willingness of resident teams to comply with order sets and automated recommendations. This emphasizes the importance of continuous individual feedback and provider education at the attending physician level to enhance both guideline compliance and decrease provider care variation. Ultimately, with the addition of the dashboard and subsequent pay‐for‐performance program, compliance was increased to 90% and 94%, respectively. Although the major mechanism used by policymakers to improve quality of care is extrinsic motivation, this study demonstrates that intrinsic motivation through peer norms can enhance extrinsic efforts and may be more influential. Both of these programs, dashboards and pay‐for‐performance, may ultimately assist institutions in changing provider behavior and achieving these harder‐to‐achieve higher benchmarks.
We recognize that there are several limitations to our study. First, this is a single‐site program limited to an attending‐physician‐only service. There was strong data support and a defined CPOE algorithm for this initiative. Multi‐site studies will need to overcome the additional challenges of varying service structures and electronic medical record and provider order entry systems. Second, it is difficult to show actual changes in VTE events over time with appropriate prophylaxis. Although VTE prophylaxis is recommended for patients with VTE risk factors, there are conflicting findings about whether prophylaxis prevents VTE events in lower‐risk patients, and current studies suggest that most patients with VTE events are severely ill and develop VTE despite receiving prophylaxis.[27, 28, 29] Our study was underpowered to detect these potential differences in VTE rates, and although the algorithm has been shown to not increase bleeding rates, we did not measure bleeding rates during this study.[12, 15] Our institutional experience suggests that the majority of VTE events occur despite appropriate prophylaxis.[30] Also, VTE prophylaxis may be ordered, but intervening events, such as procedures and changes in risk status or patient refusal, may prevent patients from receiving appropriate prophylaxis.[31, 32] Similarly, hospitals with higher quality scores have higher VTE prophylaxis rates but worse risk‐adjusted VTE rates, which may result from increased surveillance for VTE, suggesting surveillance bias limits the usefulness of the VTE quality measure.[33, 34] Nevertheless, VTE prophylaxis remains a publicly reported Core Measure tied to financial incentives.[4, 5] Third, there may be an unmeasured factor specific to the hospitalist program, which could potentially account for an overall improvement in quality of care. Although the rate of increase in appropriate prophylaxis was not statistically significant during the baseline period, there did appear to be some improvement in prophylaxis toward the end of the period. However, there were no other VTE‐related provider feedback programs being simultaneously pursued during this study. VTE prophylaxis for the non‐hospitalist services showed a relatively stable, non‐increasing compliance rate for the general medical services. Although it was possible for successful residents to age into the hospitalist service, thereby improving rates of prophylaxis based on changes in group makeup, our subgroup analysis of the providers present throughout all phases of the study showed our results to be robust. Similarly, there may have been a cross‐contamination effect of hospitalist faculty who attended on both hospitalist and non‐hospitalist general medicine service teams. This, however, would attenuate any impact of the programs, and thus the effects may in fact be greater than reported. Fourth, establishment of both the dashboard and pay‐for‐performance program required significant institutional and program leadership and resources. To be successful, the dashboard must be in the provider's workflow, transparent, minimize reporter burden, use existing systems, and be actively fed back to providers, ideally those directly entering orders. Our greatest rate of improvement occurred during the feedback‐only phase of this study, emphasizing the importance of physician feedback, provider‐level accountability, and engagement. We suspect that the relatively modest pay‐for‐performance incentive served mainly as a means of engaging providers in self‐monitoring, rather than as a means to change behavior through true incentivization. Although we did not track individual physician views of the dashboard, we reinforced trends, deviations, and expectations at regularly scheduled meetings and provided feedback and patient‐level data to individual providers. Fifth, the design of the pay‐for‐performance program may have also influenced its effectiveness. These types of programs may be more effective when they provide frequent visible, small payments rather than one large payment, and when the payment is framed as a loss rather than a gain.[35] Finally, physician champions and consistent feedback through departmental meetings or visual displays may be required for program success. The initial resources to create the dashboard, continued maintenance and monitoring of performance, and payment of financial incentives all require institutional commitment. A partnership of physicians, program leaders, and institutional administrators is necessary for both initial and continued success.
To achieve performance goals and benchmarks, multiple strategies that combine extrinsic and intrinsic motivation are necessary. As shown by our study, the use of a dashboard and pay‐for‐performance can be tailored to an institution's goals, in line with national standards. The specific goal (risk‐appropriate VTE prophylaxis) and benchmarks (80%, 85%, 90%, 95%) can be individualized to a particular institution. For example, if readmission rates are above target, readmissions could be added as a dashboard metric. The specific benchmark would be determined by historical trends and administrative targets. Similarly, the overall financial incentives could be adjusted based on the financial resources available. Other process measures, such as influenza vaccination screening and administration, could also be targeted. For all of these objectives, continued provider feedback and engagement are critical for progressive success, especially to decrease variability in care at the attending physician level. Incorporating the value‐based purchasing philosophy from the Affordable Care Act, our study suggests that the combination of standardized order sets, real‐time dashboards, and physician‐level incentives may assist hospitals in achieving quality and safety benchmarks, especially at higher targets.
Acknowledgements
The authors thank Meir Gottlieb, BS, from Salar Inc. for data support; Murali Padmanaban, BS, from Johns Hopkins University for his assistance in linking the administrative billing data with real‐time physician orders; and Hsin‐Chieh Yeh, PhD, from the Bloomberg School of Public Health for her statistical advice and additional review. We also thank Mr. Ronald R. Peterson, President, Johns Hopkins Health System and Johns Hopkins Hospital, for providing funding support for the physician incentive payments.
Disclosures: Drs. Michtalik and Brotman had full access to all of the data in the study and take responsibility for the integrity of the data and accuracy of the data analysis. Study concept and design: Drs. Michtalik, Streiff, Finkelstein, Pronovost, and Brotman. Acquisition of data: Drs. Michtalik, Streiff, Brotman and Mr. Carolan, Mr. Lau, Mrs. Durkin. Analysis and interpretation of data: Drs. Michtalik, Haut, Streiff, Brotman and Mr. Carolan, Mr. Lau. Drafting of the manuscript: Drs. Michtalik and Brotman. Critical revision of the manuscript for important intellectual content: Drs. Michtalik, Haut, Streiff, Finkelstein, Pronovost, Brotman and Mr. Carolan, Mr. Lau, Mrs. Durkin. Statistical analysis and supervision: Drs. Michtalik and Brotman. Obtaining funding: Drs. Streiff and Brotman. Technical support: Dr. Streiff and Mr. Carolan, Mr. Lau, Mrs. Durkin
This study was supported by a National Institutes of Health grant T32 HP10025‐17‐00 (Dr. Michtalik), the National Institutes of Health/Johns Hopkins Institute for Clinical and Translational Research KL2 Award 5KL2RR025006 (Dr. Michtalik), the Agency for Healthcare Research and Quality Mentored Clinical Scientist Development K08 Awards 1K08HS017952‐01 (Dr. Haut) and 1K08HS022331‐01A1 (Dr. Michtalik), and the Johns Hopkins Hospitalist Scholars Fund. The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
Dr. Haut receives royalties from Lippincott, Williams & Wilkins. Dr. Streiff has received research funding from Portola and Bristol Myers Squibb, honoraria for CME lectures from Sanofi‐Aventis and Ortho‐McNeil, consulted for Eisai, Daiichi‐Sankyo, Boerhinger‐Ingelheim, Janssen Healthcare, and Pfizer. Mr. Lau, Drs. Haut, Streiff, and Pronovost are supported by a contract from the Patient‐Centered Outcomes Research Institute (PCORI) titled Preventing Venous Thromboembolism: Empowering Patients and Enabling Patient‐Centered Care via Health Information Technology (CE‐12‐11‐4489). Dr. Brotman has received research support from Siemens Healthcare Diagnostics, Bristol‐Myers Squibb, the Agency for Healthcare Research and Quality, Centers for Medicare & Medicaid Services, the Amerigroup Corporation, and the Guerrieri Family Foundation. He has received honoraria from the Gerson Lehrman Group, the Dunn Group, and from Quantia Communications, and received royalties from McGraw‐Hill.
- Medicare Program, Centers for Medicare 76(88):26490–26547.
- . Quality meets finance: payments at risk with value‐based purchasing, readmission, and hospital‐acquired conditions force hospitalists to focus. Hospitalist. 2013;17(1):31.
- National Quality Forum. March 2009. Safe practices for better healthcare—2009 update. Available at: http://www.qualityforum.org/Publications/2009/03/Safe_Practices_for_Better_Healthcare%E2%80%932009_Update.aspx. Accessed November 1, 2014.
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- , , , et al. Venous thromboembolism risk and prophylaxis in the acute hospital care setting (ENDORSE study): a multinational cross‐sectional study. Lancet. 2008;371(9610):387–394.
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- , , . Innovative approaches to increase deep vein thrombosis prophylaxis rate resulting in a decrease in hospital‐acquired deep vein thrombosis at a tertiary‐care teaching hospital. J Hosp Med. 2008;3(2):148–155.
- , , , et al. Lessons from the Johns Hopkins Multi‐Disciplinary Venous Thromboembolism (VTE) Prevention Collaborative. BMJ. 2012;344:e3935.
- , , , et al. Improved prophylaxis and decreased rates of preventable harm with the use of a mandatory computerized clinical decision support tool for prophylaxis for venous thromboembolism in trauma. Arch Surg. 2012;147(10):901–907.
- , . Designing and implementing effective venous thromboembolism prevention protocols: lessons from collaborative efforts. J Thromb Thrombolysis. 2010;29(2):159–166.
- , , , et al. Impact of a venous thromboembolism prophylaxis "smart order set": improved compliance, fewer events. Am J Hematol. 2013;88(7):545–549.
- , . Improving adherence to venous thromoembolism prophylaxis using multiple interventions. BMJ. 2012;344:e3935.
- Health Resources and Services Administration of the U.S. Department of Health and Human Services. Managing data for performance improvement. Available at: http://www.hrsa.gov/quality/toolbox/methodology/performanceimprovement/part2.html. Accessed December 18, 2014.
- , . Improving patient safety by taking systems seriously. JAMA. 2008;299(4):445–447.
- , , , . Growth in the care of older patients by hospitalists in the United States. N Engl J Med. 2009;360(11):1102–1112.
- , , , et al. Prevention of venous thromboembolism: American College of Chest Physicians evidence‐based clinical practice guidelines (8th edition). Chest. 2008;133(6 suppl):381S–453S.
- . Robust locally weighted regression and smoothing scatterplots. J Am Stat Assoc. 1979;74(368):829–836.
- , . Locally weighted regression: An approach to regression analysis by local fitting. J Am Stat Assoc. 1988;83(403):596–610.
- , , , . Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models. 2nd ed. New York, NY: Springer; 2012.
- . Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis. New York, NY: Springer‐Verlag; 2001.
- , , , et al. Eliminating healthcare disparities via mandatory clinical decision support: the venous thromboembolism (VTE) example [published online ahead of print November 4, 2014]. Med Care. doi: 10.1097/MLR.0000000000000251.
- Joint Commission. Improving America's hospitals: the Joint Commission's annual report on quality and safety. 2012. Available at: http://www.jointcommission.org/assets/1/18/TJC_Annual_Report_2012.pdf. Accessed September 8, 2013.
- , , , et al. Hospital performance for pharmacologic venous thromboembolism prophylaxis and rate of venous thromboembolism: a cohort study. JAMA Intern Med. 2014;174(10):1577–1584.
- , , , et al. Incidence of hospital‐acquired venous thromboembolic codes in medical patients hospitalized in academic medical centers. J Hosp Med. 2014;9(4):221–225.
- , , , , . No association between hospital‐reported perioperative venous thromboembolism prophylaxis and outcome rates in publicly reported data. JAMA Surg. 2014;149(4):400–401.
- , , , , . Linking processes and outcomes: a key strategy to prevent and report harm from venous thromboembolism in surgical patients. JAMA Surg. 2013;148(3):299–300.
- , , , et al. Patterns of non‐administration of ordered doses of venous thromboembolism prophylaxis: implications for novel intervention strategies. PLoS One. 2013;8(6):e66311.
- , , , et al. Nonadministration of thromboprophylaxis in hospitalized patients with HIV: a missed opportunity for prevention? J Hosp Med. 2014;9(4):215–220.
- , , , et al. Evaluation of surveillance bias and the validity of the venous thromboembolism quality measure. JAMA. 2013;310(14):1482–1489.
- , . Surveillance bias in outcomes reporting. JAMA. 2011;305(23):2462–2463.
- . Pay for performance in health care: an international overview of initiatives. Med Care Res Rev. 2012;69(3):251–276.
- Medicare Program, Centers for Medicare 76(88):26490–26547.
- . Quality meets finance: payments at risk with value‐based purchasing, readmission, and hospital‐acquired conditions force hospitalists to focus. Hospitalist. 2013;17(1):31.
- National Quality Forum. March 2009. Safe practices for better healthcare—2009 update. Available at: http://www.qualityforum.org/Publications/2009/03/Safe_Practices_for_Better_Healthcare%E2%80%932009_Update.aspx. Accessed November 1, 2014.
- Joint Commission on Accreditation of Healthcare Organizations. Approved: more options for hospital core measures. Jt Comm Perspect. 2009;29(4):1–6.
- Centers for Medicare 208(2):227–240.
- , . Thromboprophylaxis in nonsurgical patients. Hematology Am Soc Hematol Educ Program. 2012;2012:631–637.
- , , , et al. Venous thromboembolism risk and prophylaxis in the acute hospital care setting (ENDORSE study): a multinational cross‐sectional study. Lancet. 2008;371(9610):387–394.
- , . Practices to prevent venous thromboembolism: a brief review. BMJ Qual Saf. 2014;23(3):187–195.
- , , , et al. Improving hospital venous thromboembolism prophylaxis with electronic decision support. J Hosp Med. 2013;8(3):115–120.
- , , . Innovative approaches to increase deep vein thrombosis prophylaxis rate resulting in a decrease in hospital‐acquired deep vein thrombosis at a tertiary‐care teaching hospital. J Hosp Med. 2008;3(2):148–155.
- , , , et al. Lessons from the Johns Hopkins Multi‐Disciplinary Venous Thromboembolism (VTE) Prevention Collaborative. BMJ. 2012;344:e3935.
- , , , et al. Improved prophylaxis and decreased rates of preventable harm with the use of a mandatory computerized clinical decision support tool for prophylaxis for venous thromboembolism in trauma. Arch Surg. 2012;147(10):901–907.
- , . Designing and implementing effective venous thromboembolism prevention protocols: lessons from collaborative efforts. J Thromb Thrombolysis. 2010;29(2):159–166.
- , , , et al. Impact of a venous thromboembolism prophylaxis "smart order set": improved compliance, fewer events. Am J Hematol. 2013;88(7):545–549.
- , . Improving adherence to venous thromoembolism prophylaxis using multiple interventions. BMJ. 2012;344:e3935.
- Health Resources and Services Administration of the U.S. Department of Health and Human Services. Managing data for performance improvement. Available at: http://www.hrsa.gov/quality/toolbox/methodology/performanceimprovement/part2.html. Accessed December 18, 2014.
- , . Improving patient safety by taking systems seriously. JAMA. 2008;299(4):445–447.
- , , , . Growth in the care of older patients by hospitalists in the United States. N Engl J Med. 2009;360(11):1102–1112.
- , , , et al. Prevention of venous thromboembolism: American College of Chest Physicians evidence‐based clinical practice guidelines (8th edition). Chest. 2008;133(6 suppl):381S–453S.
- . Robust locally weighted regression and smoothing scatterplots. J Am Stat Assoc. 1979;74(368):829–836.
- , . Locally weighted regression: An approach to regression analysis by local fitting. J Am Stat Assoc. 1988;83(403):596–610.
- , , , . Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models. 2nd ed. New York, NY: Springer; 2012.
- . Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis. New York, NY: Springer‐Verlag; 2001.
- , , , et al. Eliminating healthcare disparities via mandatory clinical decision support: the venous thromboembolism (VTE) example [published online ahead of print November 4, 2014]. Med Care. doi: 10.1097/MLR.0000000000000251.
- Joint Commission. Improving America's hospitals: the Joint Commission's annual report on quality and safety. 2012. Available at: http://www.jointcommission.org/assets/1/18/TJC_Annual_Report_2012.pdf. Accessed September 8, 2013.
- , , , et al. Hospital performance for pharmacologic venous thromboembolism prophylaxis and rate of venous thromboembolism: a cohort study. JAMA Intern Med. 2014;174(10):1577–1584.
- , , , et al. Incidence of hospital‐acquired venous thromboembolic codes in medical patients hospitalized in academic medical centers. J Hosp Med. 2014;9(4):221–225.
- , , , , . No association between hospital‐reported perioperative venous thromboembolism prophylaxis and outcome rates in publicly reported data. JAMA Surg. 2014;149(4):400–401.
- , , , , . Linking processes and outcomes: a key strategy to prevent and report harm from venous thromboembolism in surgical patients. JAMA Surg. 2013;148(3):299–300.
- , , , et al. Patterns of non‐administration of ordered doses of venous thromboembolism prophylaxis: implications for novel intervention strategies. PLoS One. 2013;8(6):e66311.
- , , , et al. Nonadministration of thromboprophylaxis in hospitalized patients with HIV: a missed opportunity for prevention? J Hosp Med. 2014;9(4):215–220.
- , , , et al. Evaluation of surveillance bias and the validity of the venous thromboembolism quality measure. JAMA. 2013;310(14):1482–1489.
- , . Surveillance bias in outcomes reporting. JAMA. 2011;305(23):2462–2463.
- . Pay for performance in health care: an international overview of initiatives. Med Care Res Rev. 2012;69(3):251–276.
© 2014 Society of Hospital Medicine
How malaria parasites evade the immune system
Credit: St Jude
Children’s Research Hospital
A new study has shown that malaria parasites can rapidly change proteins on the surface of human red blood cells (RBCs) during the course of a single infection, which helps the parasites evade the immune system.
The findings, which overturn previous thinking about the Plasmodium falciparum parasite’s lifecycle, could explain why so many attempts to create an effective malaria vaccine have failed and how the parasites are able to survive in the human body for such long periods of time.
Investigators described this research in PLOS Genetics.
The team kept P falciparum parasites dividing in human blood in the lab for over a year and sequenced the full parasite genome regularly. This provided snapshots of the parasite’s genome at multiple time points, allowing them to track evolution as it unfolded in the lab.
They found that the 60 or so genes that control proteins on the surface of infected human RBCs, known as var genes, swapped genetic information regularly, creating around a million new and unrecognizable surface proteins in every infected human every 2 days.
“These genes are like decks of cards constantly being shuffled,” explained study author William Hamilton, a graduate student at the Wellcome Trust Sanger Institute in Cambridge, UK.
“The use of whole-genome sequencing and the sheer number of samples we collected gave us a detailed picture of how the var gene repertoire changes continuously within red blood cells.”
The results showed, for the first time, that recombination does not occur when the malaria parasite is inside the mosquito, as previously thought. Instead, it occurs during the asexual stage of the parasite’s lifecycle inside human RBCs. This finding may help explain how chronic asymptomatic infection, a crucial problem for malaria elimination, is possible.
“It’s very likely that mosquitos are re-infected with Plasmodium falciparum parasites at the beginning of each wet season by biting humans who have carried the parasites, often asymptomatically, for up to 8 months during the dry season,” said study author Antoine Claessens, PhD, of the Wellcome Trust Sanger Institute.
“During those months, the parasite’s var genes are busy recombining to create millions of different versions—cunning disguises that mean they remain safe from the immune system and ready for the new malarial season.”
While further work will be required to fully understand the mechanism driving the recombination of P falciparum’s var genes, the investigators were able to calculate the rate at which it happens. They found that var gene recombination takes place in about 0.2% of parasites after each 48-hour life cycle in the RBC.
With about a billion parasites living inside a typical infected human, there is huge potential for the parasite to create new, recombined var genes inside each person with malaria. This pace of change far exceeds that of genes in any other region of the parasite’s genome.
“When you consider that 200 million people across the world are infected with malaria, and each of them is harboring parasites that are continually generating millions of antigenic variants, it becomes apparent why our fight against malaria is so challenging,” said study author Dominic Kwiatkowski, MBBS, of the Wellcome Trust Sanger Institute.
“This study is a great example of how genome sequence analysis is enriching our understanding of malaria biology. By learning the genetic tricks that the parasite uses to evade the human immune system, we will be in a much better position to eliminate this deadly disease.”
Credit: St Jude
Children’s Research Hospital
A new study has shown that malaria parasites can rapidly change proteins on the surface of human red blood cells (RBCs) during the course of a single infection, which helps the parasites evade the immune system.
The findings, which overturn previous thinking about the Plasmodium falciparum parasite’s lifecycle, could explain why so many attempts to create an effective malaria vaccine have failed and how the parasites are able to survive in the human body for such long periods of time.
Investigators described this research in PLOS Genetics.
The team kept P falciparum parasites dividing in human blood in the lab for over a year and sequenced the full parasite genome regularly. This provided snapshots of the parasite’s genome at multiple time points, allowing them to track evolution as it unfolded in the lab.
They found that the 60 or so genes that control proteins on the surface of infected human RBCs, known as var genes, swapped genetic information regularly, creating around a million new and unrecognizable surface proteins in every infected human every 2 days.
“These genes are like decks of cards constantly being shuffled,” explained study author William Hamilton, a graduate student at the Wellcome Trust Sanger Institute in Cambridge, UK.
“The use of whole-genome sequencing and the sheer number of samples we collected gave us a detailed picture of how the var gene repertoire changes continuously within red blood cells.”
The results showed, for the first time, that recombination does not occur when the malaria parasite is inside the mosquito, as previously thought. Instead, it occurs during the asexual stage of the parasite’s lifecycle inside human RBCs. This finding may help explain how chronic asymptomatic infection, a crucial problem for malaria elimination, is possible.
“It’s very likely that mosquitos are re-infected with Plasmodium falciparum parasites at the beginning of each wet season by biting humans who have carried the parasites, often asymptomatically, for up to 8 months during the dry season,” said study author Antoine Claessens, PhD, of the Wellcome Trust Sanger Institute.
“During those months, the parasite’s var genes are busy recombining to create millions of different versions—cunning disguises that mean they remain safe from the immune system and ready for the new malarial season.”
While further work will be required to fully understand the mechanism driving the recombination of P falciparum’s var genes, the investigators were able to calculate the rate at which it happens. They found that var gene recombination takes place in about 0.2% of parasites after each 48-hour life cycle in the RBC.
With about a billion parasites living inside a typical infected human, there is huge potential for the parasite to create new, recombined var genes inside each person with malaria. This pace of change far exceeds that of genes in any other region of the parasite’s genome.
“When you consider that 200 million people across the world are infected with malaria, and each of them is harboring parasites that are continually generating millions of antigenic variants, it becomes apparent why our fight against malaria is so challenging,” said study author Dominic Kwiatkowski, MBBS, of the Wellcome Trust Sanger Institute.
“This study is a great example of how genome sequence analysis is enriching our understanding of malaria biology. By learning the genetic tricks that the parasite uses to evade the human immune system, we will be in a much better position to eliminate this deadly disease.”
Credit: St Jude
Children’s Research Hospital
A new study has shown that malaria parasites can rapidly change proteins on the surface of human red blood cells (RBCs) during the course of a single infection, which helps the parasites evade the immune system.
The findings, which overturn previous thinking about the Plasmodium falciparum parasite’s lifecycle, could explain why so many attempts to create an effective malaria vaccine have failed and how the parasites are able to survive in the human body for such long periods of time.
Investigators described this research in PLOS Genetics.
The team kept P falciparum parasites dividing in human blood in the lab for over a year and sequenced the full parasite genome regularly. This provided snapshots of the parasite’s genome at multiple time points, allowing them to track evolution as it unfolded in the lab.
They found that the 60 or so genes that control proteins on the surface of infected human RBCs, known as var genes, swapped genetic information regularly, creating around a million new and unrecognizable surface proteins in every infected human every 2 days.
“These genes are like decks of cards constantly being shuffled,” explained study author William Hamilton, a graduate student at the Wellcome Trust Sanger Institute in Cambridge, UK.
“The use of whole-genome sequencing and the sheer number of samples we collected gave us a detailed picture of how the var gene repertoire changes continuously within red blood cells.”
The results showed, for the first time, that recombination does not occur when the malaria parasite is inside the mosquito, as previously thought. Instead, it occurs during the asexual stage of the parasite’s lifecycle inside human RBCs. This finding may help explain how chronic asymptomatic infection, a crucial problem for malaria elimination, is possible.
“It’s very likely that mosquitos are re-infected with Plasmodium falciparum parasites at the beginning of each wet season by biting humans who have carried the parasites, often asymptomatically, for up to 8 months during the dry season,” said study author Antoine Claessens, PhD, of the Wellcome Trust Sanger Institute.
“During those months, the parasite’s var genes are busy recombining to create millions of different versions—cunning disguises that mean they remain safe from the immune system and ready for the new malarial season.”
While further work will be required to fully understand the mechanism driving the recombination of P falciparum’s var genes, the investigators were able to calculate the rate at which it happens. They found that var gene recombination takes place in about 0.2% of parasites after each 48-hour life cycle in the RBC.
With about a billion parasites living inside a typical infected human, there is huge potential for the parasite to create new, recombined var genes inside each person with malaria. This pace of change far exceeds that of genes in any other region of the parasite’s genome.
“When you consider that 200 million people across the world are infected with malaria, and each of them is harboring parasites that are continually generating millions of antigenic variants, it becomes apparent why our fight against malaria is so challenging,” said study author Dominic Kwiatkowski, MBBS, of the Wellcome Trust Sanger Institute.
“This study is a great example of how genome sequence analysis is enriching our understanding of malaria biology. By learning the genetic tricks that the parasite uses to evade the human immune system, we will be in a much better position to eliminate this deadly disease.”
FDA recommends changing blood donor policy for MSM
Photo by Elisa Amendola
The US Food and Drug Administration (FDA) is recommending a change to the policy that prevents men who have sex with men (MSM) from donating blood, according to FDA Commissioner Margaret A. Hamburg.
The FDA would like to allow MSM to donate blood if they have abstained from sexual contact for 1 year.
The agency intends to issue a draft guidance recommending this policy change in 2015. The guidance will be open for public comment.
In a prepared statement, Hamburg said that, over the past few years, the FDA and other government agencies have carefully considered the scientific evidence relevant to the blood donor deferral policy for MSM.
This review, as well as the recommendations of advisory committees to the US Department of Health and Human Services (HHS) and the FDA, has prompted the FDA to recommend the change.
“This recommended change is consistent with the recommendation of an independent expert advisory panel, the HHS Advisory Committee on Blood and Tissue Safety and Availability, and will better align the deferral period with that of other men and women at increased risk for HIV infection,” Hamburg said.
“Additionally, in collaboration with the NIH’s National Heart Lung and Blood Institute (NHLBI), the FDA has already taken steps to implement a national blood surveillance system that will help the agency monitor the effect of a policy change and further help to ensure the continued safety of the blood supply.”
Photo by Elisa Amendola
The US Food and Drug Administration (FDA) is recommending a change to the policy that prevents men who have sex with men (MSM) from donating blood, according to FDA Commissioner Margaret A. Hamburg.
The FDA would like to allow MSM to donate blood if they have abstained from sexual contact for 1 year.
The agency intends to issue a draft guidance recommending this policy change in 2015. The guidance will be open for public comment.
In a prepared statement, Hamburg said that, over the past few years, the FDA and other government agencies have carefully considered the scientific evidence relevant to the blood donor deferral policy for MSM.
This review, as well as the recommendations of advisory committees to the US Department of Health and Human Services (HHS) and the FDA, has prompted the FDA to recommend the change.
“This recommended change is consistent with the recommendation of an independent expert advisory panel, the HHS Advisory Committee on Blood and Tissue Safety and Availability, and will better align the deferral period with that of other men and women at increased risk for HIV infection,” Hamburg said.
“Additionally, in collaboration with the NIH’s National Heart Lung and Blood Institute (NHLBI), the FDA has already taken steps to implement a national blood surveillance system that will help the agency monitor the effect of a policy change and further help to ensure the continued safety of the blood supply.”
Photo by Elisa Amendola
The US Food and Drug Administration (FDA) is recommending a change to the policy that prevents men who have sex with men (MSM) from donating blood, according to FDA Commissioner Margaret A. Hamburg.
The FDA would like to allow MSM to donate blood if they have abstained from sexual contact for 1 year.
The agency intends to issue a draft guidance recommending this policy change in 2015. The guidance will be open for public comment.
In a prepared statement, Hamburg said that, over the past few years, the FDA and other government agencies have carefully considered the scientific evidence relevant to the blood donor deferral policy for MSM.
This review, as well as the recommendations of advisory committees to the US Department of Health and Human Services (HHS) and the FDA, has prompted the FDA to recommend the change.
“This recommended change is consistent with the recommendation of an independent expert advisory panel, the HHS Advisory Committee on Blood and Tissue Safety and Availability, and will better align the deferral period with that of other men and women at increased risk for HIV infection,” Hamburg said.
“Additionally, in collaboration with the NIH’s National Heart Lung and Blood Institute (NHLBI), the FDA has already taken steps to implement a national blood surveillance system that will help the agency monitor the effect of a policy change and further help to ensure the continued safety of the blood supply.”
Classic HL vulnerable to PD-1 blockade therapy
SAN FRANCISCO—Two monoclonal antibodies that block the programmed death-1 (PD-1) pathway are showing promise in early phase trials in relapsed/refractory classic Hodgkin lymphoma (cHL).
Nivolumab prompted an 87% overall response rate (ORR) in heavily pretreated patients, and pembrolizumab elicited a 66% ORR in patients who had failed prior treatment with brentuximab vedotin.
These results were presented in 2 abstracts at the 2014 ASH Annual Meeting.
The rationale for using PD-1 blockade in cHL is that these patients frequently have an alteration in chromosome 9p24.1, which leads to increased expression of the PD-1 ligands, PD-L1 and PD-L2. The ligands engage the PD-1 receptors on activated T cells, inducing T-cell exhaustion. More than 85% of cHL tumors overexpress PD-L1.
Craig H. Moskowitz, MD, who presented the data on pembrolizumab at the meeting, sees nivolumab and pembrolizumab as being very similar.
“My gut feeling is that, at the end of the day, the response rates will be very similar,” he said. “The complete response rates will be similar. I think the toxicity profiles may be slightly dissimilar, and we’ll have to see what happens when these studies are both peer-reviewed.”
Nivolumab
Philippe Armand, MD, of Dana-Farber Cancer Institute in Boston, presented data on nivolumab in cHL (abstract 289), which was an independent expansion cohort of a phase 1b study in hematologic malignancies.
The 23 cHL patients received nivolumab at 3 mg/kg on weeks 1 and 4, then every 2 weeks.
Patients were a median age of 35 years (range, 20 to 54), and about two-thirds had received 4 or more prior systemic therapies. Seventy-eight percent had prior autologous stem cell transplant, and 78% had prior treatment with brentuximab.
“These were extensively pretreated patients” Dr Armand said, “with few options available.”
Twenty patients responded, for an ORR of 87%. Four patients (17%) achieved a complete response (CR), 16 (70%) had a partial response, and 3 (13%) had stable disease.
There were no progressions. And, at 24 weeks, the progression-free survival was 86%.
There were no life-threatening adverse events (AEs), no drug-related deaths, and no drug-related grade 4 AEs. Twenty-two patients (96%) experienced an AE, 18 (78%) had a drug-related AE, 5 (22%) had a grade 3 drug-related AE, and 2 (9%) patients discontinued treatment due to a drug-related AE.
The 2 events leading to discontinuation were myelodysplastic syndromes with grade 3 thrombocytopenia and grade 3 pancreatitis. The other grade 3 drug-related AEs were lymphopenia, increased lipase, GI inflammation, pneumonitis, colitis, and stomatitis.
“Overall, nivolumab has been used in thousands of patients already on clinical trials in solid tumors,” Dr Armand said. “And, overall, this safety profile mirrors that from what we expected in solid tumors.”
“But the interesting thing about that, from our standpoint, is that there was no apparent increase in the incidence of lung toxicity, which is something we worry about for those patients because many of them had had radiation or other drugs that can cause lung injury.”
This study was recently published in NEJM. It was funded by Bristol-Myers Squibb, the company developing nivolumab, and others.
Based on results of this study, the US Food and Drug Administration (FDA) granted nivolumab breakthrough therapy designation to treat HL. The drug recently gained FDA approval to treat advanced melanoma.
Pembrolizumab
Dr Moskowitz, of Memorial Sloan Kettering Cancer Center in New York, presented data on pembrolizumab as abstract 290.*
Investigators enrolled 31 patients onto the cHL cohort of the Keynote 013 trial. Patients were a median age of 32 years (range, 20 to 67).
All patients had failed therapy with brentuximab vedotin, 69% failed prior stem cell transplant, and 28% were transplant ineligible. Patients had to have an ECOG performance status of 0 or 1 and could not have autoimmune disease or interstitial lung disease.
Patients received 10 mg/kg of pembrolizumab intravenously every 2 weeks for up to 24 months or until progression.
Twenty-nine patients were evaluable for efficacy. The ORR was 66%, with a CR rate of 21% and a partial response rate of 45%. Twenty-one percent of patients had stable disease, and 14% had progressive disease. So the clinical benefit rate was 86%.
The median time to response was 12 weeks, and the median duration of response ranged from 1 to 185 days, but the median had not yet been reached.
Nine patients (31%) discontinued therapy, 1 (3%) due to an AE, 7 (24%) due to disease progression, and 1 (3%) after achieving a CR. Twenty patients (69%) were still on therapy at the time of the presentation, and 1 patient went on to transplant.
Sixteen patients (55%) experienced 1 or more treatment-related AE of any grade. Those occurring in 2 or more patients included hypothyroidism (10%), pneumonitis (10%), constipation (7%), diarrhea (7%), nausea (7%), hypercholesterolemia (7%), hypertriglyceridemia (7%), and hematuria (7%).
Treatment-related AEs of grade 3 or higher included axillary pain (3%), hypoxia (3%), joint swelling (3%), and pneumonitis (3%). Three patients experienced 4 grade 3 or higher AEs. There were no grade 4 treatment-related AEs or treatment-related deaths.
“In my opinion,” Dr Moskowitz concluded, “these results support continued development of pembrolizumab in Hodgkin lymphoma.”
“I think that these drugs are here to stay. Where we are going to put them in the armamentarium in Hodgkin lymphoma remains to be seen.”
This study was funded by Merck Sharp & Dohme Corp., the company developing pembrolizumab.
*Information in the abstract differs from that presented at the meeting.
SAN FRANCISCO—Two monoclonal antibodies that block the programmed death-1 (PD-1) pathway are showing promise in early phase trials in relapsed/refractory classic Hodgkin lymphoma (cHL).
Nivolumab prompted an 87% overall response rate (ORR) in heavily pretreated patients, and pembrolizumab elicited a 66% ORR in patients who had failed prior treatment with brentuximab vedotin.
These results were presented in 2 abstracts at the 2014 ASH Annual Meeting.
The rationale for using PD-1 blockade in cHL is that these patients frequently have an alteration in chromosome 9p24.1, which leads to increased expression of the PD-1 ligands, PD-L1 and PD-L2. The ligands engage the PD-1 receptors on activated T cells, inducing T-cell exhaustion. More than 85% of cHL tumors overexpress PD-L1.
Craig H. Moskowitz, MD, who presented the data on pembrolizumab at the meeting, sees nivolumab and pembrolizumab as being very similar.
“My gut feeling is that, at the end of the day, the response rates will be very similar,” he said. “The complete response rates will be similar. I think the toxicity profiles may be slightly dissimilar, and we’ll have to see what happens when these studies are both peer-reviewed.”
Nivolumab
Philippe Armand, MD, of Dana-Farber Cancer Institute in Boston, presented data on nivolumab in cHL (abstract 289), which was an independent expansion cohort of a phase 1b study in hematologic malignancies.
The 23 cHL patients received nivolumab at 3 mg/kg on weeks 1 and 4, then every 2 weeks.
Patients were a median age of 35 years (range, 20 to 54), and about two-thirds had received 4 or more prior systemic therapies. Seventy-eight percent had prior autologous stem cell transplant, and 78% had prior treatment with brentuximab.
“These were extensively pretreated patients” Dr Armand said, “with few options available.”
Twenty patients responded, for an ORR of 87%. Four patients (17%) achieved a complete response (CR), 16 (70%) had a partial response, and 3 (13%) had stable disease.
There were no progressions. And, at 24 weeks, the progression-free survival was 86%.
There were no life-threatening adverse events (AEs), no drug-related deaths, and no drug-related grade 4 AEs. Twenty-two patients (96%) experienced an AE, 18 (78%) had a drug-related AE, 5 (22%) had a grade 3 drug-related AE, and 2 (9%) patients discontinued treatment due to a drug-related AE.
The 2 events leading to discontinuation were myelodysplastic syndromes with grade 3 thrombocytopenia and grade 3 pancreatitis. The other grade 3 drug-related AEs were lymphopenia, increased lipase, GI inflammation, pneumonitis, colitis, and stomatitis.
“Overall, nivolumab has been used in thousands of patients already on clinical trials in solid tumors,” Dr Armand said. “And, overall, this safety profile mirrors that from what we expected in solid tumors.”
“But the interesting thing about that, from our standpoint, is that there was no apparent increase in the incidence of lung toxicity, which is something we worry about for those patients because many of them had had radiation or other drugs that can cause lung injury.”
This study was recently published in NEJM. It was funded by Bristol-Myers Squibb, the company developing nivolumab, and others.
Based on results of this study, the US Food and Drug Administration (FDA) granted nivolumab breakthrough therapy designation to treat HL. The drug recently gained FDA approval to treat advanced melanoma.
Pembrolizumab
Dr Moskowitz, of Memorial Sloan Kettering Cancer Center in New York, presented data on pembrolizumab as abstract 290.*
Investigators enrolled 31 patients onto the cHL cohort of the Keynote 013 trial. Patients were a median age of 32 years (range, 20 to 67).
All patients had failed therapy with brentuximab vedotin, 69% failed prior stem cell transplant, and 28% were transplant ineligible. Patients had to have an ECOG performance status of 0 or 1 and could not have autoimmune disease or interstitial lung disease.
Patients received 10 mg/kg of pembrolizumab intravenously every 2 weeks for up to 24 months or until progression.
Twenty-nine patients were evaluable for efficacy. The ORR was 66%, with a CR rate of 21% and a partial response rate of 45%. Twenty-one percent of patients had stable disease, and 14% had progressive disease. So the clinical benefit rate was 86%.
The median time to response was 12 weeks, and the median duration of response ranged from 1 to 185 days, but the median had not yet been reached.
Nine patients (31%) discontinued therapy, 1 (3%) due to an AE, 7 (24%) due to disease progression, and 1 (3%) after achieving a CR. Twenty patients (69%) were still on therapy at the time of the presentation, and 1 patient went on to transplant.
Sixteen patients (55%) experienced 1 or more treatment-related AE of any grade. Those occurring in 2 or more patients included hypothyroidism (10%), pneumonitis (10%), constipation (7%), diarrhea (7%), nausea (7%), hypercholesterolemia (7%), hypertriglyceridemia (7%), and hematuria (7%).
Treatment-related AEs of grade 3 or higher included axillary pain (3%), hypoxia (3%), joint swelling (3%), and pneumonitis (3%). Three patients experienced 4 grade 3 or higher AEs. There were no grade 4 treatment-related AEs or treatment-related deaths.
“In my opinion,” Dr Moskowitz concluded, “these results support continued development of pembrolizumab in Hodgkin lymphoma.”
“I think that these drugs are here to stay. Where we are going to put them in the armamentarium in Hodgkin lymphoma remains to be seen.”
This study was funded by Merck Sharp & Dohme Corp., the company developing pembrolizumab.
*Information in the abstract differs from that presented at the meeting.
SAN FRANCISCO—Two monoclonal antibodies that block the programmed death-1 (PD-1) pathway are showing promise in early phase trials in relapsed/refractory classic Hodgkin lymphoma (cHL).
Nivolumab prompted an 87% overall response rate (ORR) in heavily pretreated patients, and pembrolizumab elicited a 66% ORR in patients who had failed prior treatment with brentuximab vedotin.
These results were presented in 2 abstracts at the 2014 ASH Annual Meeting.
The rationale for using PD-1 blockade in cHL is that these patients frequently have an alteration in chromosome 9p24.1, which leads to increased expression of the PD-1 ligands, PD-L1 and PD-L2. The ligands engage the PD-1 receptors on activated T cells, inducing T-cell exhaustion. More than 85% of cHL tumors overexpress PD-L1.
Craig H. Moskowitz, MD, who presented the data on pembrolizumab at the meeting, sees nivolumab and pembrolizumab as being very similar.
“My gut feeling is that, at the end of the day, the response rates will be very similar,” he said. “The complete response rates will be similar. I think the toxicity profiles may be slightly dissimilar, and we’ll have to see what happens when these studies are both peer-reviewed.”
Nivolumab
Philippe Armand, MD, of Dana-Farber Cancer Institute in Boston, presented data on nivolumab in cHL (abstract 289), which was an independent expansion cohort of a phase 1b study in hematologic malignancies.
The 23 cHL patients received nivolumab at 3 mg/kg on weeks 1 and 4, then every 2 weeks.
Patients were a median age of 35 years (range, 20 to 54), and about two-thirds had received 4 or more prior systemic therapies. Seventy-eight percent had prior autologous stem cell transplant, and 78% had prior treatment with brentuximab.
“These were extensively pretreated patients” Dr Armand said, “with few options available.”
Twenty patients responded, for an ORR of 87%. Four patients (17%) achieved a complete response (CR), 16 (70%) had a partial response, and 3 (13%) had stable disease.
There were no progressions. And, at 24 weeks, the progression-free survival was 86%.
There were no life-threatening adverse events (AEs), no drug-related deaths, and no drug-related grade 4 AEs. Twenty-two patients (96%) experienced an AE, 18 (78%) had a drug-related AE, 5 (22%) had a grade 3 drug-related AE, and 2 (9%) patients discontinued treatment due to a drug-related AE.
The 2 events leading to discontinuation were myelodysplastic syndromes with grade 3 thrombocytopenia and grade 3 pancreatitis. The other grade 3 drug-related AEs were lymphopenia, increased lipase, GI inflammation, pneumonitis, colitis, and stomatitis.
“Overall, nivolumab has been used in thousands of patients already on clinical trials in solid tumors,” Dr Armand said. “And, overall, this safety profile mirrors that from what we expected in solid tumors.”
“But the interesting thing about that, from our standpoint, is that there was no apparent increase in the incidence of lung toxicity, which is something we worry about for those patients because many of them had had radiation or other drugs that can cause lung injury.”
This study was recently published in NEJM. It was funded by Bristol-Myers Squibb, the company developing nivolumab, and others.
Based on results of this study, the US Food and Drug Administration (FDA) granted nivolumab breakthrough therapy designation to treat HL. The drug recently gained FDA approval to treat advanced melanoma.
Pembrolizumab
Dr Moskowitz, of Memorial Sloan Kettering Cancer Center in New York, presented data on pembrolizumab as abstract 290.*
Investigators enrolled 31 patients onto the cHL cohort of the Keynote 013 trial. Patients were a median age of 32 years (range, 20 to 67).
All patients had failed therapy with brentuximab vedotin, 69% failed prior stem cell transplant, and 28% were transplant ineligible. Patients had to have an ECOG performance status of 0 or 1 and could not have autoimmune disease or interstitial lung disease.
Patients received 10 mg/kg of pembrolizumab intravenously every 2 weeks for up to 24 months or until progression.
Twenty-nine patients were evaluable for efficacy. The ORR was 66%, with a CR rate of 21% and a partial response rate of 45%. Twenty-one percent of patients had stable disease, and 14% had progressive disease. So the clinical benefit rate was 86%.
The median time to response was 12 weeks, and the median duration of response ranged from 1 to 185 days, but the median had not yet been reached.
Nine patients (31%) discontinued therapy, 1 (3%) due to an AE, 7 (24%) due to disease progression, and 1 (3%) after achieving a CR. Twenty patients (69%) were still on therapy at the time of the presentation, and 1 patient went on to transplant.
Sixteen patients (55%) experienced 1 or more treatment-related AE of any grade. Those occurring in 2 or more patients included hypothyroidism (10%), pneumonitis (10%), constipation (7%), diarrhea (7%), nausea (7%), hypercholesterolemia (7%), hypertriglyceridemia (7%), and hematuria (7%).
Treatment-related AEs of grade 3 or higher included axillary pain (3%), hypoxia (3%), joint swelling (3%), and pneumonitis (3%). Three patients experienced 4 grade 3 or higher AEs. There were no grade 4 treatment-related AEs or treatment-related deaths.
“In my opinion,” Dr Moskowitz concluded, “these results support continued development of pembrolizumab in Hodgkin lymphoma.”
“I think that these drugs are here to stay. Where we are going to put them in the armamentarium in Hodgkin lymphoma remains to be seen.”
This study was funded by Merck Sharp & Dohme Corp., the company developing pembrolizumab.
*Information in the abstract differs from that presented at the meeting.
Mitoxantrone lots recalled worldwide
Credit: Bill Branson
Hospira, Inc. has initiated a worldwide, user-level recall of 10 lots of Mitoxantrone (both human and veterinary) due to confirmed subpotency and elevated impurity levels.
Drugs in the affected lots may exhibit decreased effectiveness, require additional dosing, or prompt cumulative impurity toxicity requiring medical intervention.
However, Hospira has not received reports of any adverse events associated with subpotency and impurities for these lots to date.
The lots were distributed to hospitals and veterinary clinics worldwide from February 2013 through November 2014.
The following lots are affected by the recall. (To ensure this list displays properly, click the “Hide” icon on the right side of this page to hide the “In this Section” column.)
United States
Product NDC Number Lot Expiration Date
MitoXANTRONE Injection, USP, 61703-343-18 Z054636AA December 2014
(concentrate) 20 mg/10 mL, A014636AA April 2015
2 mg/mL in 10 mL, 10 mL Vial, A024636AB July 2015
Multi Dose Vial
MitoXANTRONE Injection, USP, 61703-343-65 A014643AA April 2015
(concentrate) 25 mg/12.5 mL,
2 mg/mL in 12.5 mL, 12.5 mL Vial,
Multi Dose Vial
MitoXANTRONE Injection, USP, 61703-343-66 A014645AA November 2015
(concentrate) 30 mg/15 mL,
2 mg/mL in 15 mL, 15 mL Vial,
Multi Dose Vial
Australia and New Zealand
Product Product Code Batch Number Expiration Date
DBL™ MitoXANTRONE M4636A A024636AA July 2015
Hydrochloride Injection
(concentrate) 20mg/10mL
Injection Vial
United Kingdom, Ireland, Cyprus, Saudi Arabia, Qatar, Oman and Bahrain
Product List Number Lot Expiration Date
MitoXANTRONE 2 mg/mL; M4636AGB1 A014636AB April 2015
Concentrate for Infusion A024636AD July 2015
Z054636AB Dec 2014
Canada
Product List Number DIN Lot Expiration Date
MitoXANTRONE for
Injection 20mg /10mL USP 4636A001 02244614 A024636AC July 2015
Anyone with an existing inventory of the recalled lots should stop use and distribution, and quarantine the product immediately. This recall is being carried out to the user level (both human and veterinary).
Hospira has notified its direct customers via a recall letter and is arranging for impacted product to be returned to Stericycle in the US. For additional assistance in the US, call Stericycle at 1-844-265-7407 between the hours of 8 am and 5 pm ET, Monday through Friday. Customers outside the US should work with their local Hospira offices to return the product per local recall notifications.
For medical inquiries, contact Hospira Medical Communications at 1-800-615-0187 or [email protected] (Available 24 hours a day/7 days per week).
To report adverse events or for product complaints, contact Hospira Global Complaint Management at 1-800-441-4100 (M-F, 8 am to 5 pm CT).
Adverse events or quality problems associated with Mitoxantrone can also be reported to the FDA’s MedWatch Adverse Event Reporting Program.
Credit: Bill Branson
Hospira, Inc. has initiated a worldwide, user-level recall of 10 lots of Mitoxantrone (both human and veterinary) due to confirmed subpotency and elevated impurity levels.
Drugs in the affected lots may exhibit decreased effectiveness, require additional dosing, or prompt cumulative impurity toxicity requiring medical intervention.
However, Hospira has not received reports of any adverse events associated with subpotency and impurities for these lots to date.
The lots were distributed to hospitals and veterinary clinics worldwide from February 2013 through November 2014.
The following lots are affected by the recall. (To ensure this list displays properly, click the “Hide” icon on the right side of this page to hide the “In this Section” column.)
United States
Product NDC Number Lot Expiration Date
MitoXANTRONE Injection, USP, 61703-343-18 Z054636AA December 2014
(concentrate) 20 mg/10 mL, A014636AA April 2015
2 mg/mL in 10 mL, 10 mL Vial, A024636AB July 2015
Multi Dose Vial
MitoXANTRONE Injection, USP, 61703-343-65 A014643AA April 2015
(concentrate) 25 mg/12.5 mL,
2 mg/mL in 12.5 mL, 12.5 mL Vial,
Multi Dose Vial
MitoXANTRONE Injection, USP, 61703-343-66 A014645AA November 2015
(concentrate) 30 mg/15 mL,
2 mg/mL in 15 mL, 15 mL Vial,
Multi Dose Vial
Australia and New Zealand
Product Product Code Batch Number Expiration Date
DBL™ MitoXANTRONE M4636A A024636AA July 2015
Hydrochloride Injection
(concentrate) 20mg/10mL
Injection Vial
United Kingdom, Ireland, Cyprus, Saudi Arabia, Qatar, Oman and Bahrain
Product List Number Lot Expiration Date
MitoXANTRONE 2 mg/mL; M4636AGB1 A014636AB April 2015
Concentrate for Infusion A024636AD July 2015
Z054636AB Dec 2014
Canada
Product List Number DIN Lot Expiration Date
MitoXANTRONE for
Injection 20mg /10mL USP 4636A001 02244614 A024636AC July 2015
Anyone with an existing inventory of the recalled lots should stop use and distribution, and quarantine the product immediately. This recall is being carried out to the user level (both human and veterinary).
Hospira has notified its direct customers via a recall letter and is arranging for impacted product to be returned to Stericycle in the US. For additional assistance in the US, call Stericycle at 1-844-265-7407 between the hours of 8 am and 5 pm ET, Monday through Friday. Customers outside the US should work with their local Hospira offices to return the product per local recall notifications.
For medical inquiries, contact Hospira Medical Communications at 1-800-615-0187 or [email protected] (Available 24 hours a day/7 days per week).
To report adverse events or for product complaints, contact Hospira Global Complaint Management at 1-800-441-4100 (M-F, 8 am to 5 pm CT).
Adverse events or quality problems associated with Mitoxantrone can also be reported to the FDA’s MedWatch Adverse Event Reporting Program.
Credit: Bill Branson
Hospira, Inc. has initiated a worldwide, user-level recall of 10 lots of Mitoxantrone (both human and veterinary) due to confirmed subpotency and elevated impurity levels.
Drugs in the affected lots may exhibit decreased effectiveness, require additional dosing, or prompt cumulative impurity toxicity requiring medical intervention.
However, Hospira has not received reports of any adverse events associated with subpotency and impurities for these lots to date.
The lots were distributed to hospitals and veterinary clinics worldwide from February 2013 through November 2014.
The following lots are affected by the recall. (To ensure this list displays properly, click the “Hide” icon on the right side of this page to hide the “In this Section” column.)
United States
Product NDC Number Lot Expiration Date
MitoXANTRONE Injection, USP, 61703-343-18 Z054636AA December 2014
(concentrate) 20 mg/10 mL, A014636AA April 2015
2 mg/mL in 10 mL, 10 mL Vial, A024636AB July 2015
Multi Dose Vial
MitoXANTRONE Injection, USP, 61703-343-65 A014643AA April 2015
(concentrate) 25 mg/12.5 mL,
2 mg/mL in 12.5 mL, 12.5 mL Vial,
Multi Dose Vial
MitoXANTRONE Injection, USP, 61703-343-66 A014645AA November 2015
(concentrate) 30 mg/15 mL,
2 mg/mL in 15 mL, 15 mL Vial,
Multi Dose Vial
Australia and New Zealand
Product Product Code Batch Number Expiration Date
DBL™ MitoXANTRONE M4636A A024636AA July 2015
Hydrochloride Injection
(concentrate) 20mg/10mL
Injection Vial
United Kingdom, Ireland, Cyprus, Saudi Arabia, Qatar, Oman and Bahrain
Product List Number Lot Expiration Date
MitoXANTRONE 2 mg/mL; M4636AGB1 A014636AB April 2015
Concentrate for Infusion A024636AD July 2015
Z054636AB Dec 2014
Canada
Product List Number DIN Lot Expiration Date
MitoXANTRONE for
Injection 20mg /10mL USP 4636A001 02244614 A024636AC July 2015
Anyone with an existing inventory of the recalled lots should stop use and distribution, and quarantine the product immediately. This recall is being carried out to the user level (both human and veterinary).
Hospira has notified its direct customers via a recall letter and is arranging for impacted product to be returned to Stericycle in the US. For additional assistance in the US, call Stericycle at 1-844-265-7407 between the hours of 8 am and 5 pm ET, Monday through Friday. Customers outside the US should work with their local Hospira offices to return the product per local recall notifications.
For medical inquiries, contact Hospira Medical Communications at 1-800-615-0187 or [email protected] (Available 24 hours a day/7 days per week).
To report adverse events or for product complaints, contact Hospira Global Complaint Management at 1-800-441-4100 (M-F, 8 am to 5 pm CT).
Adverse events or quality problems associated with Mitoxantrone can also be reported to the FDA’s MedWatch Adverse Event Reporting Program.