Iterative Decision-making for Evaluation of Adaptations (IDEA): A decision tree for balancing adaptation, fidelity, and intervention impact

J Community Psychol. 2020 May;48(4):1163-1177. doi: 10.1002/jcop.22279. Epub 2020 Jan 23.

Abstract

Background: Evidence-based practices (EBPs) are frequently adapted to maximize outcomes while maintaining fidelity to core EBP elements. Many step-by-step frameworks for adapting EBPs have been developed, but these models may not account for common complexities in the adaptation process. In this paper, we introduce the Iterative Decision-making for Evaluation of Adaptations (IDEA), a tool to guide adaptations that addresses these issues.

Framework design and use: Adapting EBPs requires attending to key contingencies incorporated into the IDEA, including: the need for adaptations; fidelity to core EBP elements; the timeframe in which to make adaptations; the potential to collect pilot data; key clinical and implementation outcomes; and stakeholder viewpoints. We use two examples to illustrate application of the IDEA.

Conclusions: The IDEA is a practical tool to guide EBP adaptation that incorporates important decision points and the dynamism of ongoing adaptation. Its use may help implementation scientists, clinicians, and administrators maximize EBP impact.

Keywords: adaptation; culture; evidence-based healthcare; evidence-based practice; fidelity; implementation; modification.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Decision Making*
  • Decision Trees
  • Evidence-Based Practice / organization & administration*
  • Humans
  • Qualitative Research
  • Stakeholder Participation