Thesis (M.H.P.A.)--Washington State University, May 2009. / Title from PDF title page (viewed on Apr. 26, 2010). "Department of Health Policy and Administration." Includes bibliographical references (p. 46-48).

Honors Project--Brigham Young University, 2006. / Includes bibliographical references (p. 55-56).

No description available.

Thesis (M.S.)--Boston University / PLEASE NOTE: Boston University Libraries did not receive an Authorization To Manage form for this thesis or dissertation. It is therefore not openly accessible, though it may be available by request. If you are the author or principal advisor of this work and would like to request open access for it, please contact us at open-help@bu.edu. Thank you. / 2031-01-01

Medicare eligibles have the option of choosing from a menu of privately administered managed care plans, known as Medicare Advantage (MA) plans, in lieu of conventional fee-for-service Medicare coverage ("original Medicare"). These plans often provide extra benefits to enrollees, but may impose large switching costs as a result of restrictive provider networks, differences in coverage across plans, and learning and search costs. I propose a structural dynamic discrete choice model of how consumers who are persistently heterogeneous make the choice among MA plans and original Medicare based on the characteristics of the available MA plans. The model explicitly incorporates a switching cost and changes over time in choice sets and plan characteristics. I estimate the parameters of the model, including the switching cost, using the methods developed by Gowrisankaran and Rysman (2011). The estimates indicate that the switching cost is statistically and economically significant. Through a series of counterfactual analyses, I find that the share of consumers choosing MA plans in place of original Medicare would more than triple in the absence of switching costs, and nearly double if plan exit and quality changes were eliminated. I also find that when switching costs are accounted for the Medicare Advantage program only minimally increases consumer welfare.

Objective: To examine spillovers from a federal policy, managed care market, and community perspective. Data Sources/Study Setting: We studied spillovers from a federal policy and managed care market perspective using the Health Care Utilization Project’s (HCUP) State Inpatient Database (SID). American Hospital Association (AHA) data, Interstudy Commercial Managed Care, and Area Health Resource File (AHRF). Medicare Advantage county-level payment schedules originate from CMS. We examined community uninsurance spillovers using 2011-2015 Medical Expenditure Panel Survey (MEPS), the Area Health Resource File (AHRF), and the Small Area Health Insurance Estimator (SAHIE). Study Design: Ordinary Least Squares (OLS) and difference-in-difference regression analyses were used to examine a federal policy spillover on hospital readmissions. We used OLS and instrumental variable (IV) estimation to examined Medicare Advantage (MA) spillovers on Medicare fee-for-service (FFS) hospital readmissions. We used logistic regression to examine community uninsurance spillovers on the privately insured. Principal Findings: After the HRRP, Medicare FFS saw a decrease in 30-day preventable condition- and all-cause readmissions. Medicare Advantage saw a positive spillover after the HRRP. MA market penetration has no effect on Medicare FFS hospital readmissions. High community uninsurance rates are associated with less access to behavioral health related outpatient/office-based and prescription utilization. Conclusions: HRRP had a positive spillover on MA hospital all-cause readmissions. MA market penetration has no effect on Medicare FFS readmissions. High levels of community uninsurance are associated with poorer access to outpatient/office-based and prescription behavioral related services.

Thesis (M.H.S.A.)--University of Michigan, 1982.

Thesis (M.H.S.A.)--University of Michigan, 1982.

Thesis (Master of health policy and administration)--Washington State University, May 2010. / Title from PDF title page (viewed on July 6, 2010). "Department of Health Policy and Administration." Includes bibliographical references (p. 26-30).

No description available.