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Related Experiment Videos

State units and convergence models: needs assessment revisited

K S Harlow1, M J Turner

  • 1Heartland Center on Aging, Disability and Long Term Care, School of Public and Environmental Affairs, Indiana University, Indianapolis 46202.

The Gerontologist
|April 1, 1993
PubMed
Summary

Social service agencies face challenges with data representativeness in their needs assessments. A new convergence model is proposed to improve long-range planning for social services.

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Area of Science:

  • Gerontology
  • Social Work
  • Public Health Policy

Background:

  • State and territorial units on aging often conduct needs assessments for social service planning.
  • Existing needs assessment processes in social service agencies have been widely implemented.
  • Data limitations can impact the accuracy and effectiveness of social service planning.

Purpose of the Study:

  • To reexamine and evaluate the needs assessment process in social service agencies.
  • To identify limitations in the data used for needs assessment.
  • To propose an improved model for needs assessment.

Main Methods:

  • A comprehensive survey of state and territorial units on aging was conducted.
  • Data from multiple sources used by agencies were analyzed.

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  • Limitations in the representativeness of planning data were identified.

    • Main Results:

    • Most social service agencies utilize multiple sources for planning data.
    • Significant limitations in the representativeness of selected data sets were observed.
    • Current needs assessment practices may not fully capture the needs of all populations.

    Conclusions:

    • The representativeness of data is a critical issue in social service needs assessment.
    • A convergence model for needs assessment is proposed.
    • This model emphasizes a long-range planning perspective to enhance planning models for social services.