Statistical Power in Aphasia Research

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Medicare Part D coverage gap and diabetes beneficiaries.

ObjectiveTo examine drug costs and entry and exit rates into the Part D coverage gap for beneficiaries with diabetes in Medicare Advantage managed care plans.Study designCross-sectional observational study.MethodsStudy patients were Medicare Advantage Part D beneficiaries with diabetes from 2 large California health plans who were continuously enrolled in 2006 and had a drug coverage gap starting at $2250. Entry and exit into the gap, total drug costs, and out-of-pocket drug costs were determined using pharmacy databases.ResultsIn 2006, 26$2182 in total drug costs during 2006. Drug expenditures remained stable over the year for beneficiaries who did not enter the gap. For beneficiaries who entered the gap, total drug costs were higher overall and decreased at year's end as out-of-pocket expenses increased.ConclusionsFewer diabetes patients in this study entered the coverage gap than had been previously estimated, but the entry rate was much higher than that of the general Medicare Advantage Part D population. Patients entering the gap had lower subsequent monthly drug expenditures; this may be due to lower-than-expected drug prices and greater use of generics in managed care, or it may potentially signal poorer drug adherence. Future work should examine these hypotheses and explore risk factors for entering the Part D coverage gap

Medicare Part D coverage gap and diabetes beneficiaries.

ObjectiveTo examine drug costs and entry and exit rates into the Part D coverage gap for beneficiaries with diabetes in Medicare Advantage managed care plans.Study designCross-sectional observational study.MethodsStudy patients were Medicare Advantage Part D beneficiaries with diabetes from 2 large California health plans who were continuously enrolled in 2006 and had a drug coverage gap starting at $2250. Entry and exit into the gap, total drug costs, and out-of-pocket drug costs were determined using pharmacy databases.ResultsIn 2006, 26$2182 in total drug costs during 2006. Drug expenditures remained stable over the year for beneficiaries who did not enter the gap. For beneficiaries who entered the gap, total drug costs were higher overall and decreased at year's end as out-of-pocket expenses increased.ConclusionsFewer diabetes patients in this study entered the coverage gap than had been previously estimated, but the entry rate was much higher than that of the general Medicare Advantage Part D population. Patients entering the gap had lower subsequent monthly drug expenditures; this may be due to lower-than-expected drug prices and greater use of generics in managed care, or it may potentially signal poorer drug adherence. Future work should examine these hypotheses and explore risk factors for entering the Part D coverage gap

Predicting red blood cell transfusion in hospitalized patients: role of hemoglobin level, comorbidities, and illness severity.

BackgroundRandomized controlled trial evidence supports a restrictive strategy of red blood cell (RBC) transfusion, but significant variation in clinical transfusion practice persists. Patient characteristics other than hemoglobin levels may influence the decision to transfuse RBCs and explain some of this variation. Our objective was to evaluate the role of patient comorbidities and severity of illness in predicting inpatient red blood cell transfusion events.MethodsWe developed a predictive model of inpatient RBC transfusion using comprehensive electronic medical record (EMR) data from 21 hospitals over a four year period (2008-2011). Using a retrospective cohort study design, we modeled predictors of transfusion events within 24 hours of hospital admission and throughout the entire hospitalization. Model predictors included administrative data (age, sex, comorbid conditions, admission type, and admission diagnosis), admission hemoglobin, severity of illness, prior inpatient RBC transfusion, admission ward, and hospital.ResultsThe study cohort included 275,874 patients who experienced 444,969 hospitalizations. The 24 hour and overall inpatient RBC transfusion rates were 7.2% and 13.9%, respectively. A predictive model for transfusion within 24 hours of hospital admission had a C-statistic of 0.928 and pseudo-R2 of 0.542; corresponding values for the model examining transfusion through the entire hospitalization were 0.872 and 0.437. Inclusion of the admission hemoglobin resulted in the greatest improvement in model performance relative to patient comorbidities and severity of illness.ConclusionsData from electronic medical records at the time of admission predicts with very high likelihood the incidence of red blood transfusion events in the first 24 hours and throughout hospitalization. Patient comorbidities and severity of illness on admission play a small role in predicting the likelihood of RBC transfusion relative to the admission hemoglobin

Predicting red blood cell transfusion in hospitalized patients: role of hemoglobin level, comorbidities, and illness severity.

BackgroundRandomized controlled trial evidence supports a restrictive strategy of red blood cell (RBC) transfusion, but significant variation in clinical transfusion practice persists. Patient characteristics other than hemoglobin levels may influence the decision to transfuse RBCs and explain some of this variation. Our objective was to evaluate the role of patient comorbidities and severity of illness in predicting inpatient red blood cell transfusion events.MethodsWe developed a predictive model of inpatient RBC transfusion using comprehensive electronic medical record (EMR) data from 21 hospitals over a four year period (2008-2011). Using a retrospective cohort study design, we modeled predictors of transfusion events within 24 hours of hospital admission and throughout the entire hospitalization. Model predictors included administrative data (age, sex, comorbid conditions, admission type, and admission diagnosis), admission hemoglobin, severity of illness, prior inpatient RBC transfusion, admission ward, and hospital.ResultsThe study cohort included 275,874 patients who experienced 444,969 hospitalizations. The 24 hour and overall inpatient RBC transfusion rates were 7.2% and 13.9%, respectively. A predictive model for transfusion within 24 hours of hospital admission had a C-statistic of 0.928 and pseudo-R2 of 0.542; corresponding values for the model examining transfusion through the entire hospitalization were 0.872 and 0.437. Inclusion of the admission hemoglobin resulted in the greatest improvement in model performance relative to patient comorbidities and severity of illness.ConclusionsData from electronic medical records at the time of admission predicts with very high likelihood the incidence of red blood transfusion events in the first 24 hours and throughout hospitalization. Patient comorbidities and severity of illness on admission play a small role in predicting the likelihood of RBC transfusion relative to the admission hemoglobin

Trends in red blood cell transfusion and 30-day mortality among hospitalized patients.

BackgroundBlood conservation strategies have been shown to be effective in decreasing red blood cell (RBC) utilization in specific patient groups. However, few data exist describing the extent of RBC transfusion reduction or their impact on transfusion practice and mortality in a diverse inpatient population.Study design and methodsWe conducted a retrospective cohort study using comprehensive electronic medical record data from 21 medical facilities in Kaiser Permanente Northern California. We examined unadjusted and risk-adjusted RBC transfusion and 30-day mortality coincident with implementation of RBC conservation strategies.ResultsThe inpatient study cohort included 391,958 patients who experienced 685,753 hospitalizations. From 2009 to 2013, the incidence of RBC transfusion decreased from 14.0% to 10.8% of hospitalizations; this change coincided with a decline in pretransfusion hemoglobin (Hb) levels from 8.1 to 7.6 g/dL. Decreased RBC utilization affected broad groups of admission diagnoses and was most pronounced in patients with a nadir Hb level between 8 and 9 g/dL (n = 73,057; 50.8% to 19.3%). During the study period, the standard deviation of risk-adjusted RBC transfusion incidence across hospitals decreased by 44% (p < 0.001). Thirty-day mortality did not change significantly with declines in RBC utilization in patient groups previously studied in clinical trials nor in other subgroups.ConclusionsAfter the implementation of blood conservation strategies, RBC transfusion incidence and pretransfusion Hb levels decreased broadly across medical and surgical patients. Variation in RBC transfusion incidence across hospitals decreased from 2010 to 2013. Consistent with clinical trial data, more restrictive transfusion practice did not appear to impact 30-day mortality