Literature DB >> 2363061

A logit analysis of hospital choice behavior in Chollabukdo Province of Korea.

B R Kim1.   

Abstract

This paper analyzes hospital choice behavior of inpatients in Chollabukdo Province of the Republic of Korea. By applying a binary logit model on the disaggregate basis, we examine how individual inpatients select tertiary hospitals with high-level services as opposed to secondary low-level hospitals. From the analysis, we have found significant differences in the hospital choice behavior among the different socioeconomic groups of population. Especially meaningful differences were observed between urban and rural residents. The present policy focusing on the construction of low-level hospitals is thought to be reasonable to cope with the needs of rural residents, whereas increasing demand for high-level services is expected in the urban area.

Mesh:

Year:  1990        PMID: 2363061     DOI: 10.1016/0277-9536(90)90298-7

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  4 in total

1.  Which preferred providers are really preferred? Effectiveness of insurers' channeling incentives on pharmacy choice.

Authors:  Lieke H H M Boonen; Frederik T Schut; Bas Donkers; Xander Koolman
Journal:  Int J Health Care Finance Econ       Date:  2009-02-26

2.  Channeling consumers to preferred providers and the impact of status quo bias: does type of provider matter?

Authors:  Lieke H H M Boonen; Bas Donkers; Frederik T Schut
Journal:  Health Serv Res       Date:  2010-10-28       Impact factor: 3.402

3.  Hospital choice of rural Medicare beneficiaries: patient, hospital attributes, and the patient-physician relationship.

Authors:  Wan-Tzu Connie Tai; Frank W Porell; E Kathleen Adams
Journal:  Health Serv Res       Date:  2004-12       Impact factor: 3.402

4.  Healthcare-Seeking Behavior among Chinese Older Adults: Patterns and Predictive Factors.

Authors:  Yanbing Zeng; Yuanyuan Wan; Zhipeng Yuan; Ya Fang
Journal:  Int J Environ Res Public Health       Date:  2021-03-14       Impact factor: 3.390

  4 in total

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