Distinguishing High-Performing Health Systems Using a Composite of Publicly Reported Measures of Ambulatory Care

Published in: Annals of Internal Medicine (2020). doi: 10.7326/M20-0718

Posted on RAND.org on September 23, 2020

by Denis Agniel, Amelia Haviland, Paul G. Shekelle, Adam Scherling, Cheryl L. Damberg

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Background

Payers and policymakers are rewarding high-performing health care providers on the basis of summaries of overall quality performance, and the methods they use for measuring performance are increasingly important.

Objective

To develop and evaluate a measure that ranks health care systems by ambulatory care quality.

Design

Systems were ranked using a composite model that summarizes individual measures of quality, accounts for their correlation, and does not require health care systems to report every measure. The composite measure's suitability was evaluated by examining whether it captured the quality indicated by component measures (validity), whether differences in rank between health care systems were larger than statistical noise (reliability), and whether year-to-year changes in rank were small (stability).

Setting

California and Minnesota, 2014 to 2016.

Participants

55 health care systems.

Measurements

Publicly reported measures of ambulatory care quality.

Results

The composite measure was valid in that it was broadly representative of the component measures and was not dominated by any single measure. The measure was reliable because the ranks for 93% of California systems and 80% of Minnesota systems were unlikely to be more than 2 places lower or higher. The measure was stable because fewer than half of systems changed ranks by more than 2 ranks from year to year.

Limitation

The analysis is limited to available measures of ambulatory care quality and includes only 2 states.

Conclusion

This composite measure uses publicly reported data to produce valid, reliable, and stable ranks of ambulatory care quality for health care systems in Minnesota and California, and this approach could be used in other applications.

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