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Related Experiment Videos

Balanced incomplete block design: description, case study, and implications for practice

B F Campbell1, S Sengupta, C Santos

  • 1Stanford Patient Education Research Center, Stanford University School of Medicine, Palo Alto, CA 94304, USA.

Health Education Quarterly
|May 1, 1995
PubMed
Summary
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Balanced incomplete block designs effectively rank program elements for process evaluation. Unplanned participant interaction was most valued in a chronic disease self-management program evaluation.

Area of Science:

  • Health Services Research
  • Program Evaluation
  • Chronic Disease Management

Background:

  • Evaluating health programs is crucial for optimizing patient outcomes and resource allocation.
  • Traditional evaluation methods may not fully capture the nuanced value of all program components.
  • Understanding participant-perceived value is key to effective program redesign.

Purpose of the Study:

  • To demonstrate the utility of balanced incomplete block design (BIBD) for program evaluation.
  • To assess the relative importance of different elements within the Chronic Disease Self-Management Program (CDSMP).
  • To compare participant-valued elements with health system-emphasized components.

Main Methods:

  • Utilized balanced incomplete block design (BIBD) to systematically rank program elements.

Related Experiment Videos

  • Collected rankings from participants and lay leaders of the Chronic Disease Self-Management Program (CDSMP).
  • Assessed the perceived helpfulness of 13 distinct course elements.

    • Main Results:

    • BIBD provided a weighted ranking of program elements, highlighting relative importance.
    • Unstructured participant interaction emerged as the most highly valued element.
    • Elements emphasized by healthcare systems, such as nutrition and medication use, were ranked lower by participants.
    • The BIBD method was found to be easy to administer and analyze.

    Conclusions:

    • Balanced incomplete block design is a practical and effective tool for program evaluation and needs assessment.
    • Evaluation findings can directly inform program redesign by identifying highly valued and less-valued components.
    • There is a potential disconnect between participant-perceived value and health system priorities in chronic disease self-management programs.