The impact of nursing homes on small-area life expectancies

被引：10
|
作者：
Jonker, Marcel F. [1 ]
van Lenthe, Frank J. [1 ]
Donkers, Bas [3 ]
Congdon, Peter D. [2 ]
Burdorf, Alex [1 ]
Mackenbach, Johan P. [1 ]
机构：
[1] Univ Med Ctr Rotterdam, Dept Publ Hlth, Erasmus MC, NL-3000 CA Rotterdam, Netherlands
[2] Queen Mary Univ London, Dept Geog, London, England
[3] Erasmus Univ, Dept Business Econ, Rotterdam, Netherlands
来源：
HEALTH & PLACE | 2013年 / 19卷
关键词：
Bayesian analysis; Life expectancy; Nursing homes; Small-area analysis; Urban health; MORTALITY; DEATHS;
D O I：
10.1016/j.healthplace.2012.09.012
中图分类号：
R1 [预防医学、卫生学];
学科分类号：
1004 ; 120402 ;
摘要：
The geographical distribution of nursing homes can significantly distort small-area life expectancy estimations. Consequently, uncorrected life expectancies should not be used for small-area life expectancy comparisons. Instead, several nursing home corrections have been proposed. The practical use of these corrections, however, is severely limited by data availability. This paper introduces a new, model-based nursing home correction that requires considerably less detailed nursing home data. A formal comparison shows that the proposed model-based approach is the recommended correction for all small-area life expectancy estimations where detailed previous residential address information of the nursing home population is not available. This makes the approach highly relevant for a wide range of empirical applications. (C) 2012 Elsevier Ltd. All rights reserved.
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页码：25 / 32
页数：8
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