Ontology highlight
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
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]