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合成估计与回归估计的效用。地方卫生规划技术。

The utility of synthetic and regression estimation. Techniques for local health planning.

作者信息

MacKenzie E J, Shapiro S, Yaffe R

出版信息

Med Care. 1985 Jan;23(1):1-13. doi: 10.1097/00005650-198501000-00001.

DOI:10.1097/00005650-198501000-00001
PMID:3968919
Abstract

Health planning agencies have long had a need for local area data on issues such as health status, utilization, and preventive care. Synthetic estimation and regression techniques have been advanced for use in adjusting national or regional data from the NCHS Health Interview Survey (HIS) to the local area based on demographic and other pertinent variables. To evaluate the accuracy and utility of these techniques for local health planning, estimates of certain key HIS variables were obtained from a telephone survey of 2,500 randomly selected households located in the Central Maryland Health Systems Agency (CMHSA). This paper presents results of the comparison between these telephone estimates and the corresponding estimates derived from the national HIS. The techniques are evaluated on the basis of data generally available to local planning agencies.

摘要

长期以来,卫生规划机构一直需要有关健康状况、医疗服务利用情况和预防保健等问题的地区数据。综合估计和回归技术已经得到发展,用于根据人口统计和其他相关变量,将国家卫生统计中心健康访谈调查(HIS)的全国或地区数据调整到当地。为了评估这些技术在地方卫生规划中的准确性和实用性,通过对位于马里兰州中部卫生系统机构(CMHSA)的2500户随机抽取家庭进行电话调查,获得了某些关键HIS变量的估计值。本文展示了这些电话调查估计值与从全国HIS得出的相应估计值之间的比较结果。这些技术是根据地方规划机构通常可获得的数据进行评估的。

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