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1.
Int J Health Care Finance Econ ; 5(3): 273-97, 2005 Sep.
Article in English | MEDLINE | ID: mdl-16082519

ABSTRACT

A consistent pattern in the nursing home industry is that non-profit institutions serve a lower proportion of Medicaid patients than do for-profit facilities. This is contrary to the expectation that non-profit, altruistically motivated firms should serve a larger proportion of the less profitable Medicaid patients than proprietary firms. The literature confirms this pattern empirically, but provides no theoretical basis for it, which is the contribution of this paper. Specifically, we show theoretically that information disparities between providers and consumers regarding quality fosters an environment in which the percentage of uninformed consumers is a key factor in determining public-private patient mix.


Subject(s)
Economic Competition/organization & administration , Health Facilities, Proprietary/statistics & numerical data , Health Services Accessibility/economics , Medicaid/statistics & numerical data , Nursing Homes/organization & administration , Organizations, Nonprofit/statistics & numerical data , Ownership/classification , Consumer Behavior/economics , Health Facilities, Proprietary/economics , Health Knowledge, Attitudes, Practice , Health Services Research , Humans , Information Dissemination , Insurance Coverage , Models, Econometric , Nursing Homes/classification , Organizations, Nonprofit/economics , Ownership/economics , Quality of Health Care , United States
2.
Inquiry ; 39(1): 45-55, 2002.
Article in English | MEDLINE | ID: mdl-12067074

ABSTRACT

Competition among hospitals is commonly regarded as inefficient due to the medical arms race phenomenon, but most evidence for this hypothesis predates the Medicare prospective payment system and preferred provider legislation. Recent studies indicate hospital competition reduces costs and prices, but nearly all such research has focused on California. We add to the body of literature that analyzes the effects of competition in hospital markets. Using data from the state of Washington, we show that hospitals assume more risk in competitive markets by being more likely to accept prospective payment arrangements with insurers. If the arrangement is retrospective, the hospital is more likely to offer a discount as the number of competing hospitals increases. Both findings indicate that competitive forces operate the same in hospital markets as in most others: as the number of competitors increases, prices decrease and market power shifts from the suppliers to purchasers. The medical arms race hypothesis that favors more concentrated hospital markets no longer appears to be valid.


Subject(s)
Economic Competition/statistics & numerical data , Economics, Hospital/statistics & numerical data , Insurance, Hospitalization/economics , Prospective Payment System/economics , Risk Sharing, Financial/economics , Competitive Bidding , Diagnosis-Related Groups/economics , Economics, Hospital/trends , Efficiency, Organizational/economics , Health Care Sector , Health Services Research , Hospital Charges , Hospital Costs , Models, Econometric , Regression Analysis , United States , Washington
3.
Health Care Manage Rev ; 27(1): 7-20, 2002.
Article in English | MEDLINE | ID: mdl-11765897

ABSTRACT

This article examines hospital reorganization and restructuring activities following merger for two study periods: 1983-1988 and 1989-1996. In both periods, hospitals rated strengthening hospital financial position as the most important reason for merger. There were also similarities in reorganizing actions, especially reductions in service duplication, consolidation of departments and programs, reductions in medical and support FTEs, and reductions in administrative staffing. Hospital mergers during 1989-1996, however, focused increasingly on reducing nursing FTEs and less on converting acquired hospitals to new service lines.


Subject(s)
Health Facility Merger/statistics & numerical data , Hospital Restructuring/statistics & numerical data , Centralized Hospital Services , Data Collection , Economic Competition , Health Facility Merger/organization & administration , Health Services Research , Hospital Restructuring/trends , Humans , Motivation , Nursing Staff, Hospital/supply & distribution , Personnel Downsizing , Product Line Management , United States
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