A work force model to support the adoption of best practice care in chronic diseases - A missing piece in clinical guideline implementation

Leonie Segal, Kim Dalziel, Tom Bolton

    Research output: Contribution to journalReview article

    21 Citations (Scopus)

    Abstract

    The development and implementation of an evidence-based approach to health workforce planning is a necessary step to achieve access to best practice chronic disease management. In its absence, the widely reported failure in implementation of clinical best practice guidelines is almost certain to continue. This paper describes a demand model to estimate the community-based primary care health workforce consistent with the delivery of best practice chronic disease management and prevention. The model takes a geographic region as the planning frame and combines data about the health status of the regional population by disease category and stage, with best practice guidelines to estimate the clinical skill requirement or competencies for the region. The translation of the skill requirement into a service requirement can then be modelled, incorporating various assumptions about the occupation group to deliver nominated competencies. The service requirement, when compared with current service delivery, defines the gap or surplus in services. The results of the model could be used to inform service delivery as well as a workforce supply strategy.

    Original languageEnglish
    Article number35
    JournalImplementation Science
    Volume3
    Issue number1
    DOIs
    Publication statusPublished - 8 Jul 2008

    ASJC Scopus subject areas

    • Health Policy
    • Health Informatics
    • Public Health, Environmental and Occupational Health

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