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Construct Validity Testing of the Provider Co-Management Index to Measure Shared Care in Provider Dyads.
Nurs Res ; 73(3): 248-254, 2024.
Article in En | MEDLINE | ID: mdl-38329959
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Primary Health Care / Psychometrics Type of study: Prognostic_studies Limits: Adult / Female / Humans / Male / Middle aged Country/Region as subject: America do norte Language: En Journal: Nurs Res Year: 2024 Document type: Article Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Primary Health Care / Psychometrics Type of study: Prognostic_studies Limits: Adult / Female / Humans / Male / Middle aged Country/Region as subject: America do norte Language: En Journal: Nurs Res Year: 2024 Document type: Article Country of publication: United States