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Evaluating a state agency's case management services

L Garner1, S Essock

  • 1Connecticut Department of Mental Health and Addiction Services, Hartford, CT, USA.

Journal of Nursing Care Quality
|October 1, 1998
PubMed
Summary
This summary is machine-generated.

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Developing a program evaluation model for state case management requires uniform standards and data collection. These elements are crucial for accurately measuring program outcomes and ensuring accountability.

Area of Science:

  • Program Evaluation
  • Public Health Management
  • Social Services Administration

Background:

  • State case management programs are essential for delivering social services.
  • Effective program evaluation is needed to assess the impact and efficiency of these services.
  • Previous evaluations may have lacked standardized methodologies, hindering outcome measurement.

Purpose of the Study:

  • To describe lessons learned in developing and implementing a program evaluation model.
  • To identify critical components for successful program evaluation in state case management.
  • To provide a framework for future outcome measurement in similar programs.

Main Methods:

  • The study involved the development and implementation of a program evaluation model.

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  • Key components identified through practical experience were documented.
  • Focus was placed on the process of establishing uniformity in standards and data collection.

    • Main Results:

    • Uniformity of standards is a critical component for effective program evaluation.
    • Standardized data collection processes are essential for reliable outcome measurement.
    • Uniform data formats facilitate consistent and comparable results across the program.

    Conclusions:

    • Successful program evaluation hinges on establishing uniformity in standards, data collection, and data formats.
    • These uniform elements are critical for accurately measuring system outcomes in state case management.
    • The described model offers insights for enhancing the rigor and utility of program evaluations.