Increasing the Value of Health Intervention Trials: Qualitative Research in the Early Psychosis Intervention Network (EPINET)

Despite the substantial capacity of qualitative and mixed methods research to advance healthcare and interventions knowledge, most large-scale health intervention trials exclusively use quantitative methods. The authors argue that qualitative research can optimize investments in these studies. As researchers within the Early Psychosis Intervention Network (EPINET), the authors highlight examples of how qualitative research has enhanced this national initiative, organizing them with a Learning Health System (LHS) framework to demonstrate the ways qualitative research can increase value at each phase of a health trial. They emphasize the critical need for integrating qualitative research from the beginning of health trials, ensuring its influence in decision-making, creating infrastructure to support it, and promoting meaningful representation within research teams. By illustrating the advantages of qualitative research in EPINET, they advocate for sustained commitment to qualitative research in health trials to maximize value in client and provider experience, cost, and population health.

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Publication Details

Journal
Community Mental Health Journal
Published
2025-02-18
DOI
https://doi.org/10.1007/s10597-024-01427-8
Citations
1
Primary Topic
Health Policy Implementation Science
Type
article
Field-Weighted Citation Impact
2.82

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article

Increasing the Value of Health Intervention Trials: Qualitative Research in the Early Psychosis Intervention Network (EPINET)

Samantha J. Reznik, Alicia Lucksted, Sabrina Ereshefsky, Neely Myers et al.
1 citations
Community Mental Health Journal
Health Policy Implementation Science
2.82
article

Increasing the Value of Health Intervention Trials: Qualitative Research in the Early Psychosis Intervention Network (EPINET)

Samantha J. Reznik, Alicia Lucksted, Sabrina Ereshefsky, Neely Myers, Vanessa V. Klodnick, Anne Williams-Wengerd, Shannon Pagdon, Stephania L. Hayes, Howard H. Goldman, Kathleen E Nye, Preethy George, Nev Jones, Mark Savill
article en
1 citations

Abstract

Despite the substantial capacity of qualitative and mixed methods research to advance healthcare and interventions knowledge, most large-scale health intervention trials exclusively use quantitative methods. The authors argue that qualitative research can optimize investments in these studies. As researchers within the Early Psychosis Intervention Network (EPINET), the authors highlight examples of how qualitative research has enhanced this national initiative, organizing them with a Learning Health System (LHS) framework to demonstrate the ways qualitative research can increase value at each phase of a health trial. They emphasize the critical need for integrating qualitative research from the beginning of health trials, ensuring its influence in decision-making, creating infrastructure to support it, and promoting meaningful representation within research teams. By illustrating the advantages of qualitative research in EPINET, they advocate for sustained commitment to qualitative research in health trials to maximize value in client and provider experience, cost, and population health.

Community Mental Health JournalVol. 61(5)
University of Maryland, Baltimore (US), University of Minnesota (US), Westat (United States) (US), University of Pittsburgh (US), Southern Methodist University (US), University of Washington (US), Behavioral Tech Research, Inc. (US), University Physicians (US), University of California, Davis (US), The University of Texas at Austin (US), Stanford University (US)
National Institutes of Health, National Institute of Mental Health
Openalex Percentile: Top 14%
Health Policy Implementation Science
2.82
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