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The development of the Primary Care Clusters Multi-dimensional Assessment (PCCMA): a mixed-methods study

    • University of Liverpool
    • University of Nottingham
    • Public Health Wales

    Research output: Contribution to journalArticlepeer-review

    273 Downloads (Pure)

    Abstract

    A strong primary care (PC) system is essential for an efficient and high-quality healthcare service. Many countries have adopted a model of PC that encourages different healthcare providers to work together, at scale, in multidisciplinary/multiagency teams (PC clusters). The aim of the present work was to develop a quantitative instrument for the systematic and comprehensive assessment of PC clusters. This was a non-experimental, mixed-methods study grouping four work packages (WP), and involving PC cluster leads and a wide range of key stakeholders from across Wales. Interviews with 22 PC cluster leads (34 %) investigated the clusters' functioning (WP1). A systematic review identified relevant PC assessment frameworks and instruments (WP2). An expert group reviewed the evidence and drafted the new assessment tool, further evaluated and amended in two stakeholder workshops (WP3).
    Thirty-eight cluster leads (62 %) completed the newly developed online assessment (WP4). The final instrument consisted of 53 indicators, across 11 systemic dimensions of PC and produced a comprehensive assessment of the functioning of PC clusters in Wales. This rigorous early development of an innovative instrument to evaluate PC at a scaled-up (cluster) level (particularly in the format of a 360-degree assessment) can inform healthcare policy decisions regarding the expansion and ongoing adjustment of the model in response to local needs and challenges.
    Original languageEnglish
    Pages (from-to)152-163
    JournalHealth Policy
    Volume124
    Issue number2
    Early online date13 Dec 2019
    DOIs
    Publication statusPublished - Feb 2020

    Keywords

    • Benchmarking
    • General practice
    • Primary care clusters
    • Primary care networks
    • Primary health care
    • Quality assurance

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