A framework for the identification and classification of homogeneous socioeconomic areas in the analysis of health care variation.

ABSTRACT:

Background

Detecting the variation of health indicators across similar areas or peer geographies is often useful if the spatial units are socially and economically meaningful, so that there is a degree of homogeneity in each unit. Indices are frequently constructed to generate summaries of socioeconomic status or other measures in geographic small areas. Larger areas may be built to be homogenous using regionalization algorithms. However, there are no explicit guidelines in the literature for the grouping of peer geographies based on measures such as area level socioeconomic indices. Moreover, the use of an index score becomes less meaningful as the size of an area increases. This paper introduces an easy to use statistical framework for the identification and classification of hom

SUBMITTER: Pinzari L 

PROVIDER: S-EPMC6278138 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature