Department of Public Health, Erasmus MC, University Medical Centre Rotterdam, PO Box 2040, 3000 CA Rotterdam, The Netherlands.
Health Place. 2013 Jan;19:25-32. doi: 10.1016/j.healthplace.2012.09.012. Epub 2012 Oct 12.
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.
养老院的地理分布可能会严重扭曲小区域预期寿命的估计值。因此,未经修正的预期寿命不应用于小区域预期寿命的比较。为此,已经提出了几种养老院修正方法。然而,这些修正方法的实际应用受到数据可用性的严重限制。本文提出了一种新的基于模型的养老院修正方法,该方法所需的养老院数据相对较少。正式比较表明,对于所有无法获得养老院人群详细先前居住地址信息的小区域预期寿命估计,建议使用基于模型的方法进行修正。这使得该方法在广泛的实证应用中具有重要意义。