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Development and Validation of the Modified Patient-Centered Medical Home Assessment for the Comprehensive Primary
Dmitriy Poznyak1, Deborah N Peikes1, Breanna A Wakar2
1Mathematica Policy Research, Princeton, NJ.
The modified Patient-Centered Medical Home Assessment (M-PCMH-A) reliably tracks primary care delivery. Its validated seven-factor structure and overall score offer a more accurate measure than simple averages.
Area of Science:
- Primary care research
- Health services research
- Survey methodology
Background:
- The Patient-Centered Medical Home (PCMH) model aims to improve primary care delivery.
- Tracking changes in PCMH practice over time requires reliable assessment tools.
- Existing measures may not fully capture the multifaceted nature of PCMH care delivery.
Purpose of the Study:
- To describe the development of the modified Patient-Centered Medical Home Assessment (M-PCMH-A) survey module.
- To assess the reliability and factor structure of the M-PCMH-A.
- To generate factor scores for a more reliable measure of practice care delivery.
Main Methods:
- Confirmatory factor analysis was used to evaluate the M-PCMH-A's structure.
- Data were collected from primary care practices participating in the Comprehensive Primary Care (CPC) initiative.
- Survey data were collected in 2012 and 2014 from participating and comparison practices.
Main Results:
- Confirmatory factor analysis supported a seven-factor structure, with modifications to question assignments and one question removal.
- The M-PCMH-A demonstrated high reliability, construct validity, and stability across most factors.
- Seven factors formed a higher-order factor, providing a reliable summary measure of care delivery, guarding against weighting biases.
Conclusions:
- The M-PCMH-A is a valid and reliable tool for tracking primary care delivery longitudinally.
- The seven-factor structure and overall score provide robust measures of practice transformation.
- Researchers can use factor scores for precise measurement or average scores if factor analysis is not feasible.
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