Amresh Hanchate
Boston University
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Publication
Featured researches published by Amresh Hanchate.
JAMA Internal Medicine | 2009
Amresh Hanchate; Andrea C. Kronman; Yinong Young-Xu; Arlene S. Ash; Ezekiel J. Emanuel
BACKGROUND Racial and ethnic minorities generally receive fewer medical interventions than whites, but racial and ethnic patterns in Medicare expenditures and interventions may be quite different at lifes end. METHODS Based on a random, stratified sample of Medicare decedents (N = 158 780) in 2001, we used regression to relate differences in age, sex, cause of death, total morbidity burden, geography, life-sustaining interventions (eg, ventilators), and hospice to racial and ethnic differences in Medicare expenditures in the last 6 months of life. RESULTS In the final 6 months of life, costs for whites average
BMC Health Services Research | 2011
Mary Jo Pugh; Dan R. Berlowitz; Jaya K. Rao; Gabriel D. Shapiro; Ruzan Avetisyan; Amresh Hanchate; Kelli Jarrett; Jeffrey V. Tabares; Lewis E. Kazis
20,166; blacks,
Clinical Gastroenterology and Hepatology | 2013
Kee Chan; Mai Ngan Lai; Erik J. Groessl; Amresh Hanchate; John Wong; Jack A. Clark; Steven M. Asch; Allen L. Gifford; Samuel B. Ho
26,704 (32% more); and Hispanics,
Medical Care | 2012
Amy K. Rosen; Kamal M.F. Itani; Marisa Cevasco; Haytham M.A. Kaafarani; Amresh Hanchate; Marlena H. Shin; Susan Loveland; Qi Chen; Ann M. Borzecki
31,702 (57% more). Similar differences exist within sexes, age groups, all causes of death, all sites of death, and within similar geographic areas. Differences in age, sex, cause of death, total morbidity burden, geography, socioeconomic status, and hospice use account for 53% and 63% of the higher costs for blacks and Hispanics, respectively. While whites use hospice most frequently (whites, 26%; blacks, 20%; and Hispanics, 23%), racial and ethnic differences in end-of-life expenditures are affected only minimally. However, fully 85% of the observed higher costs for nonwhites are accounted for after additionally modeling their greater end-of-life use of the intensive care unit and various intensive procedures (such as, gastrostomies, used by 10.5% of blacks, 9.1% of Hispanics, and 4.1% of whites). CONCLUSIONS At lifes end, black and Hispanic decedents have substantially higher costs than whites. More than half of these cost differences are related to geographic, sociodemographic, and morbidity differences. Strikingly greater use of life-sustaining interventions accounts for most of the rest.
Journal of General Internal Medicine | 2008
Amresh Hanchate; Arlene S. Ash; Julie A. Gazmararian; Michael S. Wolf; Michael K. Paasche-Orlow
BackgroundWe examined the quality of adult epilepsy care using the Quality Indicators in Epilepsy Treatment (QUIET) measure, and variations in quality based on the source of epilepsy care.MethodsWe identified 311 individuals with epilepsy diagnosis between 2004 and 2007 in a tertiary medical center in New England. We abstracted medical charts to identify the extent to which participants received quality indicator (QI) concordant care for individual QIs and the proportion of recommended care processes completed for different aspects of epilepsy care over a two year period. Finally, we compared the proportion of recommended care processes completed for those receiving care only in primary care, neurology clinics, or care shared between primary care and neurology providers.ResultsThe mean proportion of concordant care by indicator was 55.6 (standard deviation = 31.5). Of the 1985 possible care processes, 877 (44.2%) were performed; care specific to women had the lowest concordance (37% vs. 42% [first seizure evaluation], 44% [initial epilepsy treatment], 45% [chronic care]). Individuals receiving shared care had more aspects of QI concordant care performed than did those receiving neurology care for initial treatment (53% vs. 43%; X2 = 9.0; p = 0.01) and chronic epilepsy care (55% vs. 42%; X2 = 30.2; p < 0.001).ConclusionsSimilar to most other chronic diseases, less than half of recommended care processes were performed. Further investigation is needed to understand whether a shared-care model enhances quality of care, and if so, how it leads to improvements in quality.
Vaccine | 2015
Rebecca B. Perkins; Lara Zisblatt; Aaron Legler; Emma Trucks; Amresh Hanchate; Sherri Sheinfeld Gorin
BACKGROUND & AIMS The Veterans Health Administration (VHA) is the largest single provider of care for hepatitis C virus (HCV) infection in the United States. We analyzed the cost effectiveness of treatment with the HCV protease inhibitors boceprevir and telaprevir in a defined managed care population of 102,851 patients with untreated chronic genotype 1 infection. METHODS We used a decision-analytic Markov model to examine 4 strategies: standard dual-therapy with pegylated interferon-alfa and ribavirin (PR), the combination of boceprevir and PR triple therapy, the combination of telaprevir and PR, or no antiviral treatment. A sensitivity analysis was performed. Sources of data included published rates of disease progression, the census bureau, and VHA pharmacy and hospitalization cost databases. RESULTS The estimated costs for treating each patient were
Medical Care | 2008
Amresh Hanchate; Yuqing Zhang; David T. Felson; Arlene S. Ash
8000 for PR,
Medical Care | 2012
Amresh Hanchate; Karen E. Lasser; Alok Kapoor; Jennifer E. Rosen; Danny McCormick; Meredith M. D’Amore; Nancy R. Kressin
31,300 for boceprevir and PR, and
Medical Care | 2013
Amy K. Rosen; Susan Loveland; Marlena H. Shin; Amresh Hanchate; Qi Chen; Haytham M.A. Kaafarani; Ann M. Borzecki
41,700 for telaprevir and PR. Assuming VHA treatment rates of 22% and optimal rates of sustained virologic response, PR, boceprevir and PR, and telaprevir and PR would reduce relative liver-related deaths by 5.2%, 10.9%, and 11.5%, respectively. Increasing treatment rates to 50% would reduce liver-related deaths by 12%, 24.7%, and 26.1%, respectively. The incremental cost-effectiveness ratios were
Health Services Research | 2009
Sara J. Singer; Christine W. Hartmann; Amresh Hanchate; Shibei Zhao; Mark Meterko; Priti Shokeen; Shoutzu Lin; David M. Gaba; Amy K. Rosen
29,184/quality-adjusted life-years for boceprevir and PR and