Construct Validity Testing of the Provider Co-Management Index to Measure Shared Care in Provider Dyads

Nurs Res. 2024 May-Jun;73(3):248-254. doi: 10.1097/NNR.0000000000000719. Epub 2024 Feb 6.

Abstract

Background: Co-management encompasses the dyadic process between two healthcare providers. The Provider Co-Management Index (PCMI) was initially developed as a 20-item instrument across three theory-informed subscales.

Objective: This study aimed to establish construct validity of the PCMI with a sample of primary care providers through exploratory and confirmatory factor analyses.

Methods: We conducted a cross-sectional survey of primary care physicians, nurse practitioners, and physician assistants randomly selected from the IQVIA database across New York State. Mail surveys were used to acquire a minimum of 300 responses for split sample factor analyses. The first subsample (derivation sample) was used to explore factorial structure by conducting an exploratory factor analysis. A second (validation) sample was used to confirm the emerged factorial structure using confirmatory factor analysis. We performed iterative analysis and calculated good fit indices to determine the best-fit model.

Results: There were 333 responses included in the analysis. Cronbach's alpha was high for a three-item per dimension scale within a one-factor model. The instrument was named PCMI-9 to indicate the shorter version length.

Discussion: This study established the construct validity of an instrument that scales the co-management of patients by two providers. The final instrument includes nine items on a single factor using a 4-point, Likert-type scale. Additional research is needed to establish discriminant validity.

Publication types

  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Adult
  • Cross-Sectional Studies
  • Factor Analysis, Statistical
  • Female
  • Health Personnel / psychology
  • Health Personnel / statistics & numerical data
  • Humans
  • Male
  • Middle Aged
  • New York
  • Nurse Practitioners / standards
  • Nurse Practitioners / statistics & numerical data
  • Physicians, Primary Care / psychology
  • Physicians, Primary Care / standards
  • Physicians, Primary Care / statistics & numerical data
  • Primary Health Care* / methods
  • Primary Health Care* / standards
  • Primary Health Care* / statistics & numerical data
  • Psychometrics* / instrumentation
  • Reproducibility of Results
  • Surveys and Questionnaires / standards