Psychometric properties of the patient assessment of chronic illness care measure: Acceptability, reliability and validity in United Kingdom patients with long-term conditions

Jo Rick, Kelly Rowe, Mark Hann, Bonnie Sibbald, David Reeves, Martin Roland, Peter Bower

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Background: The Patient Assessment of Chronic Illness Care (PACIC) is a US measure of chronic illness quality of care, based on the influential Chronic Care Model (CCM). It measures a number of aspects of care, including patient activation; delivery system design and decision support; goal setting and tailoring; problem-solving and contextual counselling; follow-up and coordination. Although there is developing evidence of the utility of the scale, there is little evidence about its performance in the United Kingdom (UK). We present preliminary data on the psychometric performance of the PACIC in a large sample of UK patients with long-term conditions. Method. We collected PACIC, demographic, clinical and quality of care data from patients with long-term conditions across 38 general practices, as part of a wider longitudinal study. We assess rates of missing data, present descriptive and distributional data, assess internal consistency, and test validity through confirmatory factor analysis, and through associations between PACIC scores, patient characteristics and related measures. Results: There was evidence that rates of missing data were high on PACIC (9.6% - 15.9%), and higher than on other scales used in the same survey. Most PACIC sub-scales showed reasonable levels of internal consistency (alpha = 0.68 - 0.94), responses did not demonstrate high skewness levels, and floor effects were more frequent (up to 30.4% on the follow up and co-ordination subscale) than ceiling effects (generally
    Original languageEnglish
    Article number293
    JournalBMC Health Services Research
    Volume12
    Issue number1
    DOIs
    Publication statusPublished - 2012

    Keywords

    • Chronic disease
    • Long term conditions
    • Patient assessments
    • Primary care
    • Quality improvement

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