ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2021
Using confirmatory factor analysis and Rasch analysis to examine the dimensionality of The Patient Assessment of Care for Chronic Illness Care (PACIC).
Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- The adult social care outcomes toolkit easy read for older people (ASCOT-ER OP): an exploratory factor analysis and Rasch validation study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026Article
- Psychometric properties, and cultural appropriateness, of patient reported outcome measures for use in primary healthcare: a scoping review.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025Article
- Development and Validation of the Digital Health Literacy Questionnaire for Stroke Survivors: Exploratory Sequential Mixed Methods Study.Journal of medical Internet research · 2025Article
- Exploratory factor analysis and Rasch analysis to assess the structural validity of the Adult Social Care Outcomes Toolkit Proxy version (ASCOT-Proxy) completed by care home staff.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024Article
- Application of the PAPERS Grading Criteria Within a Rapid Evidence Review to Determine the Psychometric and Pragmatic Properties of Patient Empowerment Tools.Journal of patient experience · 2024Article
- Supporting GPs and people with hypertension to maximise medication use to control blood pressure: Protocol for a pilot cluster RCT of the MIAMI intervention.HRB open research · 2023Article
- Development and psychometric evaluation of the CanSmart questionnaire to measure chronic disease self-management tasks.BMC psychology · 2022Article
- Reform of the Health Insurance Funding Model to Improve the Care of Noncommunicable Diseases Patients in Saudi Arabia.Healthcare (Basel, Switzerland) · 2022Article
- Improving Management of Non-communicable Chronic Diseases in Primary Healthcare Centres in The Saudi Health Care System.Health services insights · 2022Article
- Patients' assessment of care for type 2 diabetes: Results of the Patient Assessment of Chronic Illness Care scale in a Danish population.BMC health services research · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
purposeThe PACIC assesses key components of the Chronic Care Model. The purpose of this study is to examine the dimensionality and psychometric properties of the PACIC.
methodsA convenience sample of 221 adults in Canada who self-identified as living with one or more physical and/or mental chronic diseases was invited to participate via an online survey link. Rasch analysis was performed, including item and person misfit, reliability, response format, targeting, unidimensionality of subscales, and differential item functioning (DIF). Also, Confirmatory Factor Analysis (CFA) was conducted and model fit of alternative factor structures proposed for the PACIC in the literature and those suggested by the Rasch analysis were explored.
resultsThe patient activation, delivery system, and problem-solving subscales fit the Rasch model expectations; no modifications were required. The goal setting item 10 had a disordered threshold and was recoded. Four of the five follow-up subscale items had a disordered threshold and were recoded. All subscales were unidimensional and no local dependency was detected. DIF was only detected for some items in the follow-up subscale. The CFA revealed that none of the published factor structures fit the data; the fit statistics were appropriate when item 10 was removed and the follow-up subscale was removed.
conclusionsImproving chronic disease care relies upon having validated measures to evaluate the extent to which care goals are met. With some modifications, four of the five PACIC subscales were found to be psychometrically robust.
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