323 Co-designing a health technology intervention through patient-centered collaboration within a large randomized controlled trial: A community-informed approach

Objectives/Goals: This project provides a framework for collaborative design of a health technology intervention. We aim to provide guidance for those seeking to incorporate community-informed insights into their intervention development, particularly within the context of a large randomized controlled trial. Methods/Study Population: As part of the patient engagement arm of the Championing Hypertension Remote Monitoring for Equity and Dissemination study, we designed patient-facing intervention components for a home hypertension monitoring system. In the design process, we convened patient consultants via regular meetings, one-on-one interviews, and focus groups, and then subsequently analyzed meeting recordings, audio transcripts, and stakeholder notes. All design sessions were offered in either English or Spanish, and sixteen participants were involved. An inductive thematic analysis is being performed utilizing two coders, and Dedoose has been used to organize and refine the data. Results/Anticipated Results: The randomized trial will begin late 2024, with overall design findings incorporated into the intervention. A more detailed qualitative analysis will map these design findings to overarching theory from the Technology Acceptance Model. These qualitative themes will provide a model of patient involvement in study design in a large randomized controlled trial, potentially guiding future improvements in technology-based healthcare delivery interventions. Discussion/Significance of Impact: As technology becomes integral to healthcare, involving patients in intervention design and rollout can improve efficacy and utilization. By offering a framework for patient involvement in intervention design, we aim to create a replicable model to enhance the translation of research into practice.

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Publication Details

Journal
Journal of Clinical and Translational Science
Published
2025-03-25
DOI
https://doi.org/10.1017/cts.2024.955
Primary Topic
Biomedical and Engineering Education
Type
article
Field-Weighted Citation Impact
0.00
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article

323 Co-designing a health technology intervention through patient-centered collaboration within a large randomized controlled trial: A community-informed approach

Anjana E. Sharma, Urmimala Sarkar, Courtney Rees Lyles, Jaime Orozco et al.
Journal of Clinical and Translational Science
Biomedical and Engineering Education
article

323 Co-designing a health technology intervention through patient-centered collaboration within a large randomized controlled trial: A community-informed approach

Anjana E. Sharma, Urmimala Sarkar, Courtney Rees Lyles, Jaime Orozco, Melissa Gosdin, Araiye Medlock
article en

Abstract

Objectives/Goals: This project provides a framework for collaborative design of a health technology intervention. We aim to provide guidance for those seeking to incorporate community-informed insights into their intervention development, particularly within the context of a large randomized controlled trial. Methods/Study Population: As part of the patient engagement arm of the Championing Hypertension Remote Monitoring for Equity and Dissemination study, we designed patient-facing intervention components for a home hypertension monitoring system. In the design process, we convened patient consultants via regular meetings, one-on-one interviews, and focus groups, and then subsequently analyzed meeting recordings, audio transcripts, and stakeholder notes. All design sessions were offered in either English or Spanish, and sixteen participants were involved. An inductive thematic analysis is being performed utilizing two coders, and Dedoose has been used to organize and refine the data. Results/Anticipated Results: The randomized trial will begin late 2024, with overall design findings incorporated into the intervention. A more detailed qualitative analysis will map these design findings to overarching theory from the Technology Acceptance Model. These qualitative themes will provide a model of patient involvement in study design in a large randomized controlled trial, potentially guiding future improvements in technology-based healthcare delivery interventions. Discussion/Significance of Impact: As technology becomes integral to healthcare, involving patients in intervention design and rollout can improve efficacy and utilization. By offering a framework for patient involvement in intervention design, we aim to create a replicable model to enhance the translation of research into practice.

Journal of Clinical and Translational ScienceVol. 9(s1)
University of California System (US)
Openalex Percentile: Top 95%
Biomedical and Engineering Education
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