Development and Validation of the Modified Patient‐Centered Medical Home Assessment for the Comprehensive Primary Care Initiative. (13th March 2017)

• Record Type: Journal Article
• Authors: Poznyak, Dmitriy; Peikes, Deborah N.; Wakar, Breanna A.; Brown, Randall S.; Reid, Robert J.
• Is Part Of: Health services research. Volume 53:Number 2(2018)
• Page Start: 944
• Page End: 973
• Publication Date: 2017-03-13
• Subjects: Psychometrics -- survey research and questionnaire design -- quality of care/patient safety -- quality improvement/report cards; Medical care -- Periodicals; Medical care -- Evaluation -- Periodicals; Hospital care -- Periodicals; Health services administration -- Periodicals; 362
• DOI: 10.1111/1475-6773.12673
• Languages: English
• ISSNs: 0017-9124

Abstract

Abstract : Objective: To describe the modified Patient‐Centered Medical Home Assessment (M‐PCMH‐A) survey module developed to track primary care practices' care delivery approaches over time, assess whether its underlying factor structure is reliable, and produce factor scores that provide a more reliable summary measure of the practice's care delivery than would a simple average of question responses. Data Sources/Study Setting: Survey data collected from diverse practices participating in the Comprehensive Primary Care (CPC) initiative in 2012 ( n = 497) and 2014 ( n = 493) and matched comparison practices in 2014 ( n = 423). Study Design: Confirmatory factor analysis. Data Collection: Thirty‐eight questions organized in six domains: Access and Continuity of Care, Planned Care for Chronic Conditions and Preventive Care, Risk‐Stratified Care Management, Patient and Caregiver Engagement, Coordination of Care across the Medical Neighborhood, and Continuous Data‐Driven Improvement. Principal Findings: Confirmatory factor analysis suggested using seven factors (splitting one domain into two), reassigning two questions to different domain factors, and removing one question, resulting in high reliability, construct validity, and stability in all but one factor. The seven factors together formed a single higher‐order factor summary measure. Factor scores guard against potential biases from equal weighting. Conclusions: The M‐PCMH‐A can validly and reliably track primary care delivery across practices and over time using factors representing seven key components of care as well as an overall score. Researchers should calculate factor loadings for their specific data if possible, but average scores may be suitable if they cannot use factor analysis due to resource or sample constraints.