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Proposing a new approach to funding behavioural interventions using iterative methods.

Dominika Kwasnicka1,2, Gill A Ten Hoor3, Eric Hekler4,5

  • 1SWPS University of Social Sciences and Humanities, Wrocław, Poland.

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Summary
This summary is machine-generated.

Current health psychology research funding favors large trials over assumption testing. Shifting to iterative research models will improve behavioral intervention development and real-world effectiveness.

Keywords:
Iterative designhealth psychology research fundingintervention developmentintervention mappinglean start-up method

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Area of Science:

  • Health Psychology
  • Behavioral Science
  • Intervention Development

Background:

  • Current funding models for health psychologists prioritize large-scale "definitive" behavioral trials.
  • This focus on definitive trials may result in interventions based on numerous unverified assumptions.
  • Existing models may inadvertently overlook crucial developmental stages of intervention research.

Purpose of the Study:

  • To propose a shift in research funding models for health psychologists.
  • Advocate for increased support for "iterative" research that tests assumptions throughout intervention development.
  • To foster the creation of more robust and effective behavioral interventions for real-world application.

Main Methods:

  • The study proposes a conceptual shift in funding priorities, not a specific empirical method.
  • It advocates for supporting assumption testing at all intervention stages: design, deployment, efficacy, implementation, and sustainability.
  • Recommends utilizing diverse methods (qualitative, quantitative, expert consensus) for assumption testing.

Main Results:

  • A revised funding model would allocate more resources to the developmental stages of intervention research.
  • Funding for definitive trials would be contingent on prior research validating key assumptions.
  • This approach is expected to lead to behavioral interventions with greater real-world efficacy and effectiveness.

Conclusions:

  • A transition to iterative, assumption-testing research models is crucial for advancing behavioral interventions.
  • Funding agencies should prioritize and support assumption validation before large-scale definitive trials.
  • This strategic funding shift will enhance the robustness and applicability of health psychology interventions.