Construct validity and internal reliability of the healthcare provider performance scale

Area of Science:

• Healthcare Management
• Health Services Research
• Psychometrics

Background:

• Assessing healthcare provider performance factors (HCPP) is vital for healthcare quality and system effectiveness.
• Existing tools lack comprehensiveness, often focusing on isolated factors.
• A need exists for a multidimensional tool to assess HCPP across diverse settings.

Purpose of the Study:

• To develop and validate a multidimensional tool for assessing healthcare provider performance factors (HCPP).
• To provide a robust measurement for individual and contextual determinants of healthcare provider performance.

Main Methods:

• A two-phase validation process was employed.
• Phase 1: Exploratory Factor Analysis (EFA) for initial structure and Cronbach's alpha for reliability.
• Phase 2: Confirmatory Factor Analysis (CFA) for model fit, reliability, and validity.

Main Results:

• EFA identified six factors (FOS, ET, IC, HS, WFC, HCP) explaining 63.7% of variance.
• The scale demonstrated high reliability (Cronbach's α = 0.837) and acceptable fit indices in CFA.
• Convergent and discriminant validity were supported, with factor loadings exceeding 0.60.

Conclusions:

• The developed HCPP scale possesses acceptable psychometric properties.
• The tool offers a reliable and valid measure for assessing factors influencing healthcare provider performance.
• This provides a robust instrument for evaluating individual and contextual determinants in diverse healthcare settings.