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An inexpensive hospital-based program for outcome evaluation

H M Waxman1

  • 1Belmont Center for Comprehensive Treatment, Philadelphia, Pennsylvania 19131.

Hospital & Community Psychiatry
|February 1, 1994
PubMed
Summary
This summary is machine-generated.

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A cost-effective outcome evaluation program was created for a psychiatric hospital. This system uses existing staff and optical mark-reading scanners for efficient data analysis and reporting.

Area of Science:

  • Healthcare Management
  • Psychiatric Services Evaluation
  • Health Informatics

Background:

  • Implementing comprehensive outcome evaluation in psychiatric hospitals can be resource-intensive.
  • Many psychiatric facilities require efficient methods for assessing program effectiveness.
  • External evaluation contractors often represent a significant financial commitment.

Purpose of the Study:

  • To describe the development and implementation of a low-cost, in-house outcome evaluation program for a psychiatric hospital.
  • To present a model for data collection, management, and analysis suitable for psychiatric healthcare settings.
  • To demonstrate an alternative to expensive external evaluation services.

Main Methods:

  • Utilized existing clinical staff documentation for data collection.

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  • Employed optical mark-reading (OMR) scanners for automated data entry into a database.
  • Leveraged PC-based software (SPSS for Windows) for data analysis.
  • Established a small, dedicated evaluation team (research director, senior research assistant, secretary).
  • Main Results:

    • Successfully implemented a functional outcome evaluation program within a 147-bed psychiatric hospital.
    • Generated in-house reports for clinical programs and the quality assurance committee.
    • Demonstrated a cost-effective approach compared to external evaluation services.
    • The system proved adaptable to the hospital's specific needs.

    Conclusions:

    • A low-cost, in-house outcome evaluation system is feasible and effective for psychiatric hospitals.
    • Automated data capture and analysis can streamline the evaluation process.
    • Such systems provide valuable data for quality improvement and program management.
    • This model offers a sustainable and economical solution for psychiatric service evaluation.