ArticleImplementation science communications2025
Development of a method for qualitative data integration to advance implementation science within research consortia.
Article in Implementation science communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Patient and staff experiences with an EHR-Integrated Symptom Management Program (eSyM) in oncology.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Trial
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13 authors.
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Abstract
backgroundMethods of integrating qualitative data across diverse studies and within multi-site research consortia are less developed than those for integrating quantitative data. The development ofsuchmethods is essential to support the data exchange needed for cross-study qualitative inquiry and given the increasing emphasis on data sharing and open science. We describe methods for qualitative data integration within the National Cancer Institute's Improving the Management of symPtoms During And following Cancer Treatment (IMPACT) Consortium funded by the Cancer Moonshot
methodsThe IMPACT consortium is comprised of three research centers (RCs) each conducting pragmatic trials examining the effectiveness of routine symptom management on patient-centered outcomes. After reaching consensus on use of CFIR as the common implementation determinant framework, RCs developed a semi-structured interview guide and tailored it to features of their healthcare setting and symptom management interventions. RCs conducted interviews/focus groups with healthcare system partners to examine contextual factors impacting implementation. RCs exchanged 1-2 transcripts (n = 5 total) for purposes of pilot testing the methodology.
resultsGiven the heterogeneity of study settings and contexts, it was challenging to simultaneously assign codes at both domain and construct levels and the process was resource intensive. Recommendations include employing a common framework for data collection and analyses from the outset, coding at domain level first and then incorporating construct codes, and centralizing processes via a coordinating center (or similar entity) and combining coded transcripts using qualitative software. We also generated an iteratively refined codebook that employed the CFIR schema and incorporated CFIR 2.0 to provide detailed guidance for coders conducting cross-study qualitative inquiry.
conclusionsLimited guidance exists on how to support qualitative data integration, data exchange, and sharing across multiple studies. This paper describes a systematic method for employing an implementation determinant framework-guided approach to foster data integration. This methodology can be adopted by other research consortia to support qualitative data integration, cross-site qualitative inquiry, and generate improved understanding of evidence-based intervention implementation.
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