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Balancing reality in embedded research and evaluation: Low vs high embeddedness.

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Embedding researchers within organizations generates practice-based evidence for learning health systems. Balancing the degree of researcher embeddedness is crucial for successful collaborations and program evolution.

Keywords:
Quality Enhancement Research Initiative (QUERI)diffusionembedded researchimplementation scienceveterans

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Area of Science:

  • Health Services Research
  • Implementation Science
  • Organizational Behavior

Background:

  • Generating practice-based evidence accelerates the adoption of innovations in learning health systems.
  • Collaborations between organizations and researchers/evaluators vary in structure and operationalization.
  • The degree of researcher embeddedness (low vs. high) significantly impacts these collaborations.

Purpose of the Study:

  • To explore the pros and cons of different degrees of researcher embeddedness in organizational collaborations.
  • To reflect on balancing embeddedness considerations within a specific evaluation context.
  • To inform the development of effective researcher-organization partnerships.

Main Methods:

  • Mixed-methods evaluation of the Veterans Health Administration (VHA) Diffusion of Excellence (DoE) program.
  • Analysis of the VHA Diffusion of Excellence (DoE) program.
  • Qualitative reflection on researcher-organization collaboration dynamics.

Main Results:

  • High embeddedness allows for deeper involvement in program evolution and iterative feedback.
  • Low embeddedness may offer more objective observation but less influence on program direction.
  • Balancing goal alignment, strategic planning involvement, and adaptive aims is essential.

Conclusions:

  • The degree of researcher embeddedness requires careful consideration of trade-offs.
  • Iterative findings and adaptive aims enhance the value of embedded evaluations.
  • Optimizing embeddedness fosters effective practice-based evidence generation and innovation implementation.