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Evaluation Methods for Evidence-Based Practice Quality Improvement, Program Evaluation, and Policy Analysis

Staci S Reynolds1, Julee B Waldrop2, Jayne Jennings Dunlap3

  • 1Author Affiliations : Clinical Professor, Department of Nursing, Duke University School of Nursing, Durham, North Carolina (Dr Reynolds).

Journal of Nursing Care Quality
|April 21, 2026
PubMed
Summary
This summary is machine-generated.

This guide clarifies evaluation methods for evidence-based practice quality improvement (EBPQI), program evaluation (EBPPE), and policy analysis (EBPPA) initiatives using the Mountain Model framework. It helps clinicians and students choose appropriate data evaluation techniques for their specific projects.

Keywords:
Doctor of Nursing Practicedata visualizationevidence-based practicepolicyprogram evaluationquality improvement

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Area of Science:

  • Healthcare Quality Improvement
  • Program Evaluation
  • Health Policy Analysis

Background:

  • The Mountain Model provides a framework for evidence-based practice quality improvement (EBPQI), program evaluation (EBPPE), and policy analysis (EBPPA).
  • A key divergence occurs in the methods step, requiring distinct evaluation approaches compared to traditional research.

Purpose of the Study:

  • To delineate appropriate evaluation methodologies for EBPQI, EBPPE, and EBPPA initiatives.
  • To offer practical guidance for selecting suitable evaluation frameworks and methods.

Main Methods:

  • For EBPQI, graphical displays like run charts and statistical process control charts are recommended for temporal data analysis.
  • For EBPPE and EBPPA, descriptive summarization and narrative description of data are the primary methods.
  • Examples illustrating these evaluation methods are provided within the article.

Main Results:

  • The study differentiates evaluation methods based on the type of initiative (EBPQI, EBPPE, EBPPA).
  • It highlights the use of graphical displays for quality improvement and descriptive summaries for program evaluation and policy analysis.
  • Practical examples are offered to demonstrate the application of these methods.

Conclusions:

  • This article equips clinicians and students with the knowledge to select appropriate evaluation methods within the Mountain Model.
  • It ensures effective data evaluation for EBPQI, EBPPE, and EBPPA initiatives, enhancing the quality of practice, programs, and policies.