Powered by: Blackwell Publishing

HRET - Health Research & Educational Trust

HSR - Health Services Research

Impacting Health Practice and Policy Through State-of-the-Art Research and Thinking

Our Next Issue

March 2018
Coming Soon! Read



Method to Develop Health Care Peer Groups for Quality and Financial Comparisons Across Hospitals

Objective. To develop and explore the characteristics of a novel "nearest neighbor" methodology for creating peer groups for health care facilities.

Data Sources. Data were obtained from the Department of Veterans Affairs (VA) databases.

Statistical Methods and Findings. Peer groups are developed by first calculating the multidimensional Euclidean distance between each of 133 VA medical centers based on 16 facility characteristics. Each medical center then serves as the center for its own peer group, and the nearest neighbor facilities in terms of Euclidean distance comprise the peer facilities. We explore the attributes and characteristics of the nearest neighbor peer groupings. In addition, we construct standard cluster analysis-derived peer groups and compare the characteristics of groupings from the two methodologies.

Conclusions. The novel peer group methodology presented here results in groups where each medical center is at the center of its own peer group. Possible advantages over other peer group methodologies are that facilities are never on the "edge" of a group and group size—and thus group dispersion—is determined by the researcher. Peer groups with these characteristics may be more appealing to some researchers and administrators than standard cluster analysis and may thus strengthen organizational buy-in for financial and quality comparisons.

back to top | back to article index | purchase full article

Copyright© 2017, Health Research & Educational Trust. All rights reserved. Content Disclaimer
Health Research & Educational Trust, 155 North Wacker, 4th Floor Chicago, IL 60606 (312) 422.2600