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Expert-generated standard practice elements for evidence-based home visiting programs using a Delphi process.

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Developing an expert-derived taxonomy of home visiting program elements is crucial for effective implementation. This research identifies essential standard practice elements and behavior change techniques to improve program outcomes and replication.

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Area of Science:

  • Translational science and public health interventions.
  • Evidence-based practice implementation in social services.

Background:

  • Federal funding supports evidence-based home visiting programs, with specific allocations for tribal communities.
  • Stakeholders face challenges in selecting appropriate programs and replicating trial outcomes in real-world settings.
  • Understanding the core components of effective home visiting is essential for maximizing impact.

Purpose of the Study:

  • To develop an expert-derived consensus taxonomy of essential elements in home visiting practice.
  • To identify key strategies that drive significant impacts in priority outcome domains.
  • To inform program implementers and guide future research.

Main Methods:

  • A Delphi approach was used, convening 16 experts including researchers, model representatives, and program implementers.
  • Standard Practice Elements (SPEs) were elicited and compared with Behavior Change Techniques (BCTs).
  • The importance of these elements and techniques was rated across 10 outcome domains.

Main Results:

  • A taxonomy of 48 SPEs and 83 BCTs was identified.
  • Six SPEs, primarily related to home visitor skills, were deemed essential across all outcome domains.
  • Fifty-three BCTs were found to be unnecessary for all outcome domains.

Conclusions:

  • This study provides the first consensus-grounded taxonomy for home visiting program techniques and strategies.
  • The developed framework will support future hypothesis testing and replication studies.
  • This work aims to enhance the effectiveness and consistency of evidence-based home visiting programs.