Literature DB >> 19202151

Perceived unmet need for hospitalization service among elderly Chinese people in Zhejiang province.

Wang Junfang1, Zhou Biao, Zheng Weijun, Shuangshuang Zhang, Wu Yinyin, Kun Chen.   

Abstract

BACKGROUND: In this study, we determined the prevalence of unmet need for hospitalization service and the characteristics of the elderly with this unmet need in Zhejiang province, China.
METHODS: Data were collected from a random sample of 4046 Chinese aged 60 years and older in Zhejiang province. Based on the Andersen-Newman service utilization framework, multivariable logistic regression analysis was used to determine independent effects of these variables on the likelihood of having an unmet need for hospitalization service.
RESULTS: Overall, the prevalence of unmet need was 16.2% for hospitalization service. Among predisposing factors, only educational level was statistically significant. Individuals with higher education were less likely to report unmet needs. Among enabling factors, residential area, social support, personal yearly income and personal healthcare expenditure were strongly associated with the presence of unmet need. Those with less enabling resources (e.g. residing in rural areas) were more likely to report unmet need [Odds ratio (OR) = 1.5-6.5]. All the need factors, except for physical function, were strongly associated with the presence of unmet need. Seniors in poorer health (e.g. in fair or poor health) were more likely to report unmet need than their counterparts in better health (OR = 1.5-2.8).
CONCLUSIONS: In spite of relatively high insurance coverage rates, unmet need for hospitalization service remains high among the elderly people of Zhejiang province in China. Application of comprehensive intervention strategies such as conducting health education, creating social support, promoting community participation and promoting inter-sectional cooperation may be more effective in reducing unmet need for hospitalization service.

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Year:  2009        PMID: 19202151     DOI: 10.1093/pubmed/fdp007

Source DB:  PubMed          Journal:  J Public Health (Oxf)        ISSN: 1741-3842            Impact factor:   2.341


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