Objective. The frequency of many adverse events (AEs) associated with low-dose glucocorticoid use is unclear. We sought to determine the prevalence of glucocorticoid-associated AEs in a large US managed care population. Methods. Using linked administrative and pharmacy claims, adults receiving >60 days of glucocorticoids were identified. These individuals were surveyed about glucocorticoid use and symptoms of 8 AEs commonly attributed to glucocorticoid use. Results. Of the 6,517 eligible glucocorticoid users identified, 2,446 (38%) returned the mailed survey. Respondents were 29% men with a mean ؎ SD age of 53 ؎ 14 years; 79% were white and 13% were African American. Respondents had a mean ؎ SD of 7 ؎ 3 comorbid conditions and were prescribed a mean ؎ SD prednisone-equivalent dosage of 16 ؎ 14 mg/day. More than 90% of individuals reported at least 1 AE associated with glucocorticoid use; 55% reported that at least 1 AE was very bothersome. Weight gain was the most common self-reported AE (70% of the individuals), cataracts (15%) and fractures (12%) were among the most serious. After multivariable adjustment, all AEs demonstrated a strong dose-dependent association with cumulative glucocorticoid use. Among users of low-dose therapy (<7.5 mg of prednisone per day), increasing duration of use was significantly associated with acne, skin bruising, weight gain, and cataracts. Conclusion. The prevalence of 8 commonly attributed self-reported glucocorticoid-associated AEs was significantly associated with cumulative and average glucocorticoid dose in a dose-dependent fashion. Physicians should be vigilant for glucocorticoid-related AEs and should counsel patients about possible risks, even among low-dose long-term users.

APS BETWEEN MEDICAL CARE as actually practiced and the recommendations derived from evidence-based research are large and widespread. 1-3 Because more complete use of these recommendations should result in the prevention of considerable morbidity and mortality, 4,5 research on methods to bridge these gaps is important. Quality improvement approaches such as medical record audit and feedback, opinion leaders, academic detailing, chart-based reminders, and computerized decision support have been evaluated. 6-17 As explained recently by Samsa and Matchar, 18 testing the general continuous quality improvement (CQI) approach to health care in randomized controlled trials (RCTs) is rare and, perhaps of necessity, inconclusive. 19 Testing specific interventions deriving from a CQI approach in RCTs is more common, but still not abundant. 18 These RCTs represent efforts to examine improvement activities with the same rigorous standards of evidence as those becoming increasingly accepted in the practice of evidence-based medicine. 20 Our study is an RCT that tests

Finding Answers: Disparities Research for Change, a national program of the Robert Wood Johnson Foundation.

In this study of elderly patients with AMI, admission to a teaching hospital was associated with better quality of care based on 3 of 4 quality indicators and lower mortality. JAMA. 2000;284:1256-1262

BackgroundMillions of consumers have accessed health information online. However, little is known about their health status.ObjectiveTo explore use of Internet health information among those who were sicker (fair/poor general health status) compared with those reported being healthier.MethodsA national, random-digit telephone survey by the Pew Internet & American Life Project identified 521 Internet users who go online for health care information. Our primary independent variable was general health status rated as excellent, good, fair, or poor. Patterns of Internet use, and types of information searched were assessed.ResultsAmong the 521 users, 64% were female, most (87%) were white, and median age was 42 years. Most individuals indicated that they learned something new online (81%) and indicated that they believe most information on the Internet (52%). Compared with those with excellent/good health, those with fair/poor health (N = 59) were relative newcomers to the Internet but tended to use the Internet more frequently, were more likely to use online chats, were less likely to search for someone other than themselves, and were more likely to talk about the new information with their physician (odds ratio 3.3 [95% confidence interval 1.8-6.3]), after adjustment for age, education and income.ConclusionsHealth care professionals should be aware that their sicker patients are more likely to ask them about information they found online. Physicians, public health professionals, and eHealth developers should work together to educate patients about searching for health information online and to provide tools for them to navigate to the highest quality information.

No abstract

Use of achievable benchmarks significantly enhances the effectiveness of physician performance feedback in the setting of a multimodal quality improvement intervention.

IMPORTANCE Managed care payment formulas commonly allocate more money for medically complex populations, but ignore most social determinants of health (SDH).OBJECTIVE To add SDH variables to a diagnosis-based payment formula that allocates funds to managed care plans and accountable care organizations. DESIGN, SETTING, AND PARTICIPANTSUsing data from MassHealth, the Massachusetts Medicaid and Children's Health Insurance Program, we estimated regression models predicting Medicaid spending using a diagnosis-based and SDH-expanded model, and compared the accuracy of their cost predictions overall and for vulnerable populations. MassHealth members enrolled for at least 6 months in 2013 in fee-for-service (FFS) programs (n = 357 660) or managed care organizations (MCOs) (n = 524 607).EXPOSURES We built cost prediction models from a fee-for-service program. Predictors in the diagnosis-based model are age, sex, and diagnoses from claims. The SDH model adds predictors describing housing instability, behavioral health issues, disability, and neighborhood-level stressors.MAIN OUTCOMES AND MEASURES Overall model explanatory power and overpayments and underpayments for subgroups of interest for all Medicaid-reimbursable expenditures excepting long-term support services (mean annual cost = $5590 per member). RESULTSWe studied 357 660 people who were FFS participants and 524 607 enrolled in MCOs with a combined 806 889 person-years of experience. The FFS program experience included more men (49.6% vs 43.6%), older patients (mean age of 26.1 years vs 21.6 years), and sicker patients (mean morbidity score of 1.16 vs 0.89) than MCOs. Overall, the SDH model performed well, but only slightly better than the diagnosis-based model, explaining most of the spending variation in the managed care population (validated R 2 = 62.4) and reducing underpayments for several vulnerable populations. For example, raw costs for the quintile of people living in the most stressed neighborhoods were 9.6% ($537 per member per year) higher than average. Since greater medical morbidity accounts for much of this difference, the diagnosis-based model underpredicts costs for the most stressed quintile by about 2.1% ($130 per member per year). The expanded model eliminates the neighborhood-based underpayment, as well as underpayments of 72% for clients of the Department of Mental Health (observed costs of about $30 000 per year) and of 7% for those with serious mental illness (observed costs of about $16 000 per year).CONCLUSIONS AND RELEVANCE Since October 2016, MassHealth has used an expanded model to allocate payments from a prespecified total budget to managed care organizations according to their enrollees' social and medical risk. Extra payments for socially vulnerable individuals could fund activities, such as housing assistance, that could improve health equity.