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安大略省老年人死亡地点的预测因素:基于人群的队列分析。

Predictors of place of death for seniors in Ontario: a population-based cohort analysis.

作者信息

Motiwala Sanober S, Croxford Ruth, Guerriere Denise N, Coyte Peter C

机构信息

Department of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada.

出版信息

Can J Aging. 2006 Winter;25(4):363-71. doi: 10.1353/cja.2007.0019.

Abstract

Place of death was determined for all 58,689 seniors (age > or = 66 years) in Ontario who died during fiscal year 2001/2002. The relationship of place of death to medical and socio-demographic characteristics was examined using a multinomial logit model. Half (49.2 %) of these individuals died in hospital, 30.5 per cent died in a long-term care facility, 9.6 per cent died at home while receiving home care, and 10.7 per cent died at home without home care. Co-morbidities were the strongest predictors of place of death (p < 0.0001). A cancer diagnosis increased the chances of death at home while receiving home care; seniors with dementia were most likely to die in LTC facilities; and those with major acute conditions were most likely to die in hospitals. Higher socio-economic status was associated with greater probability of dying at home but contributed little to the model. Appropriate planning and resource allocation may help move place of death from hospitals to nursing homes or the community, in accordance with individual preferences.

摘要

对安大略省2001/2002财政年度死亡的所有58689名老年人(年龄≥66岁)确定了死亡地点。使用多项logit模型研究了死亡地点与医疗和社会人口统计学特征之间的关系。这些人中一半(49.2%)在医院死亡,30.5%在长期护理机构死亡,9.6%在接受家庭护理时在家中死亡,10.7%在没有家庭护理的情况下在家中死亡。合并症是死亡地点的最强预测因素(p<0.0001)。癌症诊断增加了在接受家庭护理时在家中死亡的几率;患有痴呆症的老年人最有可能在长期护理机构死亡;患有严重急性疾病的人最有可能在医院死亡。较高的社会经济地位与在家中死亡的可能性较大有关,但对模型的贡献不大。根据个人偏好,适当的规划和资源分配可能有助于将死亡地点从医院转移到养老院或社区。

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