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Community advisory board members’ perspectives on their contributions to a large multistate cluster RCT: a mixed methods study

Published online by Cambridge University Press:  23 November 2023

Julie Bosak
Affiliation:
Boston Medical Center, Boston, MA, USA Boston University School of Public Health, Boston, MA, USA
Mari-Lynn Drainoni
Affiliation:
Boston Medical Center, Boston, MA, USA Boston University School of Public Health, Boston, MA, USA Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
Mia-Cara Christopher
Affiliation:
Columbia University, New York, NY, USA
Bethany Medley
Affiliation:
Columbia University, New York, NY, USA Community Advisory Board Member, Boston, MA, USA
Sandra Rodriguez
Affiliation:
Columbia University, New York, NY, USA
Sydney Bell
Affiliation:
Columbia University, New York, NY, USA
Erin Kim
Affiliation:
Columbia University, New York, NY, USA
Caroline Stotz
Affiliation:
Boston Medical Center, Boston, MA, USA
Greer Hamilton
Affiliation:
Boston University School of Social Work, Boston, MA, USA
Carol Bigsby
Affiliation:
Boston Medical Center, Boston, MA, USA
Faizah Gillen
Affiliation:
Boston Medical Center, Boston, MA, USA
Jennifer Kimball
Affiliation:
Boston Medical Center, Boston, MA, USA Community Advisory Board Member, Boston, MA, USA
Craig McClay
Affiliation:
Boston Medical Center, Boston, MA, USA
Kim Powers
Affiliation:
Boston Medical Center, Boston, MA, USA Community Advisory Board Member, Boston, MA, USA
Galya Walt
Affiliation:
Boston Medical Center, Boston, MA, USA
Tracy Battaglia
Affiliation:
Boston Medical Center, Boston, MA, USA Boston University School of Public Health, Boston, MA, USA Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
Deborah Chassler
Affiliation:
Boston University School of Social Work, Boston, MA, USA
Linda Sprague Martinez
Affiliation:
Boston University School of Social Work, Boston, MA, USA
Karsten Lunze*
Affiliation:
Boston Medical Center, Boston, MA, USA Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
*
Corresponding author: K. Lunze, MD, DrPH; Email: lunze@bu.edu
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Abstract

Background:

Community advisory boards (CABs) are an established approach to ensuring research reflects community priorities. This paper examines two CABs that are part of the HEALing Communities Study which aims to reduce overdose mortality. This analysis aimed to understand CAB members’ expectations, experiences, and perspectives on CAB structure, communication, facilitation, and effectiveness during the first year of an almost fully remote CAB implementation. Current literature exploring these perspectives is limited.

Methods:

We collected qualitative and survey data simultaneously from members (n = 53) of two sites’ CABs in the first 9 months of CAB development. The survey assessed trust, communication, and relations; we also conducted 32 semi-structured interviews. We analyzed the survey results descriptively. The qualitative data were analyzed using a deductive codebook based on the RE-AIM PRISM framework. Themes were drawn from the combined qualitative data and triangulated with survey results to further enrich the findings.

Results:

CAB members expressed strong commitment to overall study goals and valued the representation of occupational sectors. The qualitative data described a dissonance between CAB members’ commitment to the mission and unmet expectations for influencing the study within an advisory role. Survey results indicated lower satisfaction with the research teams’ ability to create a mutually beneficial process, clear communication, and sharing of power.

Conclusion:

Building a CAB on a remote platform, within a study utilizing a community engagement strategy, still presents challenges to fully realizing the potential of a CAB. These findings can inform more effective operationalizing of community-engaged research through enhanced CAB engagement.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of The Association for Clinical and Translational Science
Figure 0

Table 1. Excerpt of questions from the interview guide

Figure 1

Table 2. Survey respondent demographics

Figure 2

Table 3. Overall CAB experience

Figure 3

Table 4. Research teams’ performance on components of trust

Figure 4

Table 5. Triangulation of qualitative theme and related quantitative survey results

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