Literature DB >> 9685117

Insurance type and choice of hospital for coronary artery bypass graft surgery.

M Chernew1, D Scanlon, R Hayward.   

Abstract

OBJECTIVE: To examine the effect of insurance type on the relationship between hospital attributes and patient flows, with particular attention to whether HMO enrollees are more or less likely than other patients to receive care at high-quality hospitals and whether HMO enrollees travel farther to receive care. DATA SOURCES/STUDY
SETTING: Data on patient flows, taken from discharge abstracts compiled by the California Office of Statewide Health Planning and Development. Our sample consists of patients undergoing coronary artery bypass graft surgery (CABG) in 1991 who resided in three California markets. Only patients under the age of 65 and insured by HMOs, Blue Cross/Blue Shield, or other commercial insurance were included. Hospital quality is based on hospital-specific measures of excess mortality from CABG. Other hospital attributes were taken from American Hospital Association survey data. STUDY
DESIGN: Conditional-choice models were used to estimate the probability that patients would receive care at any given hospital as a function of their insurance type and the hospital's attributes. PRINCIPAL
FINDINGS: Patients were more likely to receive care from hospitals closer to their residence. However, HMO patient flows were less sensitive to proximity. In general, the likelihood that an HMO enrollee received care at a given hospital was positively related to hospital quality. Moreover, quality had a greater effect on patient flows for HMO enrollees than for non-HMO enrollees. However, the evidence suggests that the effect of quality on patient flows is neither uniform across markets nor across HMOs.
CONCLUSIONS: HMOs do not appear to direct patients to low-quality hospitals. However, heterogeneity among HMOs and across markets suggests that buyers must recognize that choosing an HMO involves greater scrutiny than simply picking a plan labeled "HMO."

Entities:  

Mesh:

Year:  1998        PMID: 9685117      PMCID: PMC1070271     

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  33 in total

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6.  Validating risk-adjusted mortality as an indicator for quality of care.

Authors:  J W Thomas; J J Holloway; K E Guire
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8.  Chance, continuity, and change in hospital mortality rates. Coronary artery bypass graft patients in California hospitals, 1983 to 1989.

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  18 in total

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8.  The Impact of a Tiered Network on Hospital Choice.

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9.  Measurement Error in Discrete Health Facility Choice Models: an Example from Urban Senegal.

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10.  Determinants of hospital choice of rural hospital patients: the impact of networks, service scopes, and market competition.

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