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

Published online by Cambridge University Press:  11 April 2025

Araiye Medlock
Affiliation:
University of California, Davis
Courtney Lyles
Affiliation:
University of California, Davis
Urmimala Sarkar
Affiliation:
University of California, San Francisco
Melissa Gosdin
Affiliation:
University of California, Davis
Anjana Sharma
Affiliation:
University of California, San Francisco
Jaime Orozco
Affiliation:
University of California, San Francisco
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Abstract

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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.

Information

Type
Health Equity and Community Engagement
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s), 2025. The Association for Clinical and Translational Science