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Developing an implementation research logic model: using a multiple case study design to establish a worked exemplar.

Louise Czosnek1, Eva M Zopf2,3, Prue Cormie4,5

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Implementation Science Communications
|August 16, 2022
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Summary
This summary is machine-generated.

This study developed and demonstrated the Implementation Research Logic Model (IRLM) using case study methods. The IRLM effectively synthesized findings across sites, enhancing transparency and generalizable knowledge in implementation research.

Keywords:
Case study methodsCausal mechanismsCausal pathwaysLogic model

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Area of Science:

  • Implementation Science
  • Program Evaluation
  • Health Services Research

Background:

  • Implementation science frameworks guide the evaluation of implementation processes.
  • The Implementation Research Logic Model (IRLM) aids in developing causal pathways for implementation.
  • The IRLM's cross-site synthesis utility is under-explored.

Purpose of the Study:

  • Develop an IRLM from an implementation research case study.
  • Demonstrate the IRLM's utility for synthesizing findings across multiple case sites.

Main Methods:

  • Case study methodology with purposive sampling and replication logic.
  • Data collection via interviews, document review, observations, and surveys (Program Sustainability Assessment Tool).
  • Framework analysis to produce individual and cross-case IRLMs.

Main Results:

  • The IRLM was integrated into data collection, analysis, and reporting.
  • 33-44 determinants and 36-44 implementation strategies were identified per site.
  • Cross-case synthesis revealed similarities in determinants and strategy mechanisms, despite varied strategies.

Conclusions:

  • Case study methods support implementation research priorities like causal pathways.
  • Embedding the IRLM enhanced study structure, transparency, and replicability.
  • Cross-site synthesis using the IRLM provides generalizable insights into implementation processes.