Applying Realist Retroduction to EHR-Based Clinical Decision Support Tool Development

The application of realist-informed approaches to implementation research can produce answers to why, for whom and under what circumstances social determinants of health interventions work. In the context of a study to develop and test EHR-based clinical decision support tools that suggest adjusting care plans in response to patient-reported financial, housing, food, transportation, and utilities insecurity, the authors applied an innovative use of realist principles in a bounded, mid-study task. This paper demonstrates how realist retroduction can be applied in intervention development processes. Retroduction proved useful in identifying the often intangible clinical needs and preferences that affected decision support tool desirability and use, which then guided the revision of five tools prior to a formal trial. This paper illustrates how data from the study development phases were put in service of retroductive steps that, through the identification of tentative program theories, guided revision of the pilot electronic tools to better meet clinic needs in the study trial phase. Applying retroductive thinking to establish what may be more or less effective under real-world conditions before participants are recruited is a productive, pragmatic form of researcher/stakeholder co-design that seeks to achieve results without wasting clinical teams' time.

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Publication Details

Journal
International Journal of Qualitative Methods
Published
2025-03-28
DOI
https://doi.org/10.1177/16094069251326415
Citations
3
Primary Topic
Health Sciences Research and Education
Type
article
Field-Weighted Citation Impact
8.45

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article

Applying Realist Retroduction to EHR-Based Clinical Decision Support Tool Development

Jenna Donovan, Maura Pisciotta, Susan Watkins, Arwen Bunce et al.
3 citations
International Journal of Qualitative Methods
Health Sciences Research and Education
8.45
article

Applying Realist Retroduction to EHR-Based Clinical Decision Support Tool Development

Jenna Donovan, Maura Pisciotta, Susan Watkins, Arwen Bunce, Ryan McGrath, Laura M. Gottlieb, Rachel Gold, Suzanne E. Morrissey
article en
3 citations

Abstract

The application of realist-informed approaches to implementation research can produce answers to why, for whom and under what circumstances social determinants of health interventions work. In the context of a study to develop and test EHR-based clinical decision support tools that suggest adjusting care plans in response to patient-reported financial, housing, food, transportation, and utilities insecurity, the authors applied an innovative use of realist principles in a bounded, mid-study task. This paper demonstrates how realist retroduction can be applied in intervention development processes. Retroduction proved useful in identifying the often intangible clinical needs and preferences that affected decision support tool desirability and use, which then guided the revision of five tools prior to a formal trial. This paper illustrates how data from the study development phases were put in service of retroductive steps that, through the identification of tentative program theories, guided revision of the pilot electronic tools to better meet clinic needs in the study trial phase. Applying retroductive thinking to establish what may be more or less effective under real-world conditions before participants are recruited is a productive, pragmatic form of researcher/stakeholder co-design that seeks to achieve results without wasting clinical teams' time.

International Journal of Qualitative MethodsVol. 24
Kaiser Permanente (US), University of California, San Francisco (US), VA New England Healthcare System (US), Kaiser Permanente Center for Health Research (US), Ochin (US), Center for the Study of Healthcare Provider Behavior (US)
National Institute on Minority Health and Health Disparities
Openalex Percentile: Top 3%
Health Sciences Research and Education
8.45
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