An investigation of factors affecting the choice of public or private hospital services in Hong Kong, focussing on group insured in-patient users

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An investigation of factors affecting the choice of public or private hospital services in Hong Kong, focussing on group insured in-patient users

 

Author: Yeung, Chiu-kwan Barry
Title: An investigation of factors affecting the choice of public or private hospital services in Hong Kong, focussing on group insured in-patient users
Degree: D.B.A.
Year: 2003
Subject: Hong Kong Polytechnic University -- Dissertations
Insurance, Health -- China -- Hong Kong
Hospitals -- China -- Hong Kong
Medical care, Cost of -- China -- Hong Kong
Department: Graduate School of Business
Pages: viii, 237 leaves : ill. ; 30 cm
Language: English
InnoPac Record: http://library.polyu.edu.hk/record=b1737674
URI: http://theses.lib.polyu.edu.hk/handle/200/1619
Abstract: This study attempts to identify' factors that explain the choice of public versus private hospital on the part of insured persons requiring hospitalization services. Statistics show that, while the private health insurance market has been growing substantially both in terms of premium volume and number of member being covered, the inpatient numbers for private hospitals have been decreasing, whereas those numbers for public hospitals have been increasing at a high rate. The insured persons are the group that can afford higher charges and are more willing to pay for a better hospital services due to a third party payment effect. Understanding of the utilization determinants of this better-off group will be important for private hospital services providers, health insurers, and also public healthcare policy makers. Andersen's (1968) behavioural model was adopted with variables representing the predisposing, enabling and need characteristics selected for analysis. Using an insurance company's inpatient claims records, logistic regression analysis was used to identify the major determinants for the choice of the hospital service providers. A sample of 3,000 subjects was selected from the claims records. The multiple logistic regression model predicts the probability of attending private hospital of an insured hospital user with hit ratio exceeding 90% and an overall explained variance of 15%. It was found that female and older users were more likely to attend private hospital. Hospital users with shorter lengths of stay, higher surgery insurance limits and higher hospital premium levels were more likely to attend private hospitals.

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