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Creating Unidimensional Global Measures of Physician Practice Quality Based on Health Insurance Claims Data.


ABSTRACT:

Objective

To explore the extent to which commonly used claims-based process quality indicators can be used to create an internally valid global composite measure of physician practice quality.

Data sources

Health insurance claims data (October 2007-May 2010) from 134 physician practices in Seattle, WA.

Study design

We use confirmatory and exploratory factor analysis to develop theory- and empirically driven internally valid composite measures based on 19 quality indicators.

Data collection methods

Health insurance claims data from nine insurance companies and self-funded employers were collected and aggregated by third-party organization.

Principal findings

Our results did not support a single global measure using the entire set of quality indicators. We did identify an acceptable multidimensional model (RMSEA = 0.059; CFI = 0.934; TLI = 0.910). The four dimensions in our data were diabetes, depression, preventive care, and generic drug prescribing.

Conclusions

Our study demonstrates that commonly used process indicators can be used to create a small set of useful composite measures. However, the lack of an internally valid single unidimensional global measure has important implications for policy approaches meant to improve quality by rewarding "high-quality physicians."

SUBMITTER: Martsolf GR 

PROVIDER: S-EPMC5441486 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature

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Publications

Creating Unidimensional Global Measures of Physician Practice Quality Based on Health Insurance Claims Data.

Martsolf Grant R GR   Carle Adam C AC   Scanlon Dennis P DP  

Health services research 20160724 3


<h4>Objective</h4>To explore the extent to which commonly used claims-based process quality indicators can be used to create an internally valid global composite measure of physician practice quality.<h4>Data sources</h4>Health insurance claims data (October 2007-May 2010) from 134 physician practices in Seattle, WA.<h4>Study design</h4>We use confirmatory and exploratory factor analysis to develop theory- and empirically driven internally valid composite measures based on 19 quality indicators.  ...[more]

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