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Monitoring program implementation in community mental health settings.

J S Brekke, G H Wolkon

    Evaluation & the Health Professions
    |November 5, 1988
    PubMed
    Summary
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    The Daily Contact Log (DCL) effectively monitors community mental health services for chronic illness. This tool assesses program delivery against its model, aiding research and quality assurance.

    Area of Science:

    • Implementation Science
    • Mental Health Services Research
    • Program Evaluation

    Background:

    • Program evaluations are crucial for understanding service delivery and alignment with conceptual models.
    • Monitoring implementation ensures that services provided match the intended program design.
    • Chronic mental illness care requires robust methods for tracking service fidelity and outcomes.

    Purpose of the Study:

    • To present the Daily Contact Log (DCL) as an instrument for monitoring mental health program implementation.
    • To detail the DCL's psychometric properties, evolution, and applications in diverse mental health settings.
    • To highlight the DCL's utility for programmatic assessment, research, and quality assurance.

    Main Methods:

    • Description of the Daily Contact Log (DCL) instrument.

    Related Experiment Videos

  • Detailed instructions for DCL usage in community mental health programs.
  • Discussion of psychometric properties and multisite application experiences.

    • Main Results:

    • The DCL provides an empirical description of services and populations in chronic mental illness care.
    • The instrument has demonstrated viability and versatility across various mental health settings.
    • Secondary benefits for staff utilizing the DCL were identified.

    Conclusions:

    • The Daily Contact Log (DCL) is a valuable tool for monitoring the implementation of mental health programs.
    • Its use supports programmatic adjustments, research endeavors, and quality assurance initiatives.
    • The DCL facilitates assessment of program fidelity and congruence with conceptual models.