Validating the New Primary Care Measure in the Medical Expenditure Panel Survey.

Med Care

Center for Community Health Integration, Departments of Family Medicine and Community Health, Population and Quantitative Health Sciences, Sociology, and the Case Comprehensive Cancer Center Case Western Reserve University, Cleveland, OH.

Published: January 2020

Background: The advancement of primary care research requires reliable and validated measures that capture primary care processes embedded within nationally representative datasets.

Objective: The objective of this study was to assess the validity of a newly developed measure of primary care processes [Medical Expenditure Panel Survey (MEPS)-PC] with preliminary evidence of moderate to excellent reliability.

Study Design: A retrospective cohort study of community-dwelling adults with history of office-based provider visit/s using the MEPS (2013-2014).

Methods: The 3 MEPS-PC subscales (Relationship, Comprehensiveness, and Health Promotion) were tested for construct validity against known measures of primary care: Usual Source of Care, Known Provider, and Family-Usual Source of Care. Concurrent and predictive logistic regression analyses were calculated and compared with a priori hypotheses for direction and strength of association.

Results: For concurrent validity, all odds ratio estimates conformed with hypotheses, with 91% displaying statistical significance. For predictive validity, all estimates were in the direction of hypotheses, with 92% displaying statistically significant results. Although Relationship and Health Promotion subscales conformed uniformly with hypotheses, the Comprehensiveness subscale yielded significant results in 60% of bivariate odds ratio estimates (P<0.05).

Conclusion: The MEPS-PC composite measures display modest to strong preliminary evidence of concurrent and predictive validity relative to known indicators of primary care.

Implications For Policy And Practice: The MEPS-PC composite measures display preliminary evidence of concurrent and predictive construct validity, and it may be useful to researchers investigating primary care processes and complexities in the health care environment.

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http://dx.doi.org/10.1097/MLR.0000000000001220DOI Listing

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