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年龄对低收入人群住院时间的影响。

Effects of age on length of hospital stay in a low-income population.

作者信息

Posner J R, Lin H W

出版信息

Med Care. 1975 Oct;13(10):855-75. doi: 10.1097/00005650-197510000-00005.

Abstract

A major focus of efforts to monitor and control health care expenditures has centered on factors related to hospital length of stay. Age, in particular, is usually assumed to be an important correlate of hospital length of stay, especially when diagnosis and hospital variables are also taken into account. In an analysis of data representative of Medicaid cases in 23 large New York City hospitals during 1972, these effects turn out to be less clear-cut than generally assumed. Although the first-order coefficients of length of stay regressed on age and the rank order correlation of the means are statistically significant, such wide differences in length of stay within age groups remain as to reduce the substantive impact of the observed findings. This same pattern of wide variations within age groups persists even when diagnosis is controlled by use of up to 80 covariant groups. In over half the 80 diagnostic categories, no significant age effects was found. When the age analysis is repeated using 23 hospitals as the covariants, estimated age effects differed between institutions, and a similar pattern of large within-group variation was observed. These findings are interpreted as a caveat to health care researchers who might otherwise plan overly sophisticated utilization review systems.

摘要

监测和控制医疗保健支出的努力主要集中在与住院时间相关的因素上。特别是年龄,通常被认为是住院时间的一个重要相关因素,尤其是在考虑诊断和医院变量时。在对1972年纽约市23家大型医院中代表医疗补助病例的数据进行分析时,这些影响结果比一般假设的要模糊。尽管住院时间对年龄的一阶回归系数以及均值的等级相关在统计上是显著的,但各年龄组内住院时间的差异仍然很大,以至于削弱了观察结果的实质性影响。即使通过使用多达80个协变量组来控制诊断,各年龄组内这种差异很大的模式仍然存在。在80个诊断类别中,超过一半未发现显著的年龄影响。当以23家医院作为协变量重复年龄分析时,各机构间估计的年龄影响有所不同,并且观察到了组内差异较大的类似模式。这些发现被解释为对医疗保健研究人员的一个警告,否则他们可能会规划过于复杂的利用审查系统。

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