建立一个改善对有机构养老风险老年人的目标定位的模型。
Toward a model for improved targeting of aged at risk of institutionalization.
作者信息
Weissert W G, Cready C M
机构信息
Department of Health Services Management and Policy, School of Public Health, University of Michigan, Ann Arbor 48109-2029.
出版信息
Health Serv Res. 1989 Oct;24(4):485-510.
A national sample of institutionalized and noninstitutionalized aged was created by merging the 1977 National Nursing Home Survey and its counterpart, the National Health Interview Survey for the same year. A weighted logistic regression analysis was conducted to identify factors that might be useful in calculating home- and community-based long-term care clients' risk of institutionalization. A model containing patient characteristics, nursing home bed supply, and a climate variable correctly classified 98.2 percent of cases residing in nursing homes or the community. Physical dependency, mental disorder and degenerative disease, lack of spouse, being white, poverty, old age, unoccupied nursing home beds, and climate all appear to be determinants of institutional residency among the aged.
通过合并1977年全国养老院调查及其同年对应的全国健康访谈调查，建立了一个全国性的机构养老和非机构养老老年人样本。进行了加权逻辑回归分析，以确定在计算居家和社区长期护理客户入住机构的风险时可能有用的因素。一个包含患者特征、养老院床位供应和气候变量的模型正确分类了98.2%居住在养老院或社区的案例。身体依赖、精神障碍和退行性疾病、缺乏配偶、白人、贫困、高龄、闲置的养老院床位以及气候似乎都是老年人入住机构的决定因素。
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