• Øyvind A Bjertnæs, Hilde H Iversen, and Jose M Valderas.
• Department of Health Services Research, Division for Health Services, Norwegian Institute of Public Health, Oslo, Norway.
• Fam Pract. 2022 May 28; 39 (3): 519-526.

BackgroundMost generic patient experience instruments have not been validated specifically for persons with chronic health problems, even though they are the dominant user of GPs/family physicians.ObjectivesTo assess the psychometric properties of the generic Patient Experiences with GP Questionnaire (PEQ-GP) instrument (five scales: assessment of GP, coordination, patient enablement, accessibility, and practice) in persons with chronic conditions, and to develop a short version to maximize response rates and minimize respondent fatigue in future applications.MethodsSecondary analysis of data from a national survey of patient experiences with general practitioners in 2018-2019 (response rate: 42.6%). The psychometric properties of PEQ-GP were assessed with exploratory factor analysis and Cronbach's alpha, supplemented with confirmatory factor analysis (CFA) and item response theory (IRT). A short version was constructed and evaluated based on item performance.ResultsNine hundred and seventy persons reported a chronic condition(s), the most frequent being "musculoskeletal, arthritis, other back and joints" (n = 473, 48.8%). Factor analysis identified three scales with adequate psychometric results: GP (15 items; Cronbach's alpha: 0.96), practice (3 items; Cronbach's alpha: 0.87), and accessibility (2 items; Cronbach's alpha: 0.77). Evaluation of item performance identified a 7-item short version, including a 5-item GP scale with scores with strong concordance with the 15-item scale (Intraclass Correlation Coefficient: 0.97, P < 0.001).ConclusionsThe generic PEQ-GP exhibits adequate psychometric performance for persons with chronic conditions. Three empirically derived PEQ-GP scales cover evaluation of the GP, accessibility, and practice. The 7-item short form minimize respondent burden, but further validation work is warranted before large-scale use.© The Author(s) 2021. Published by Oxford University Press.

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