Using community engagement to implement evidence-based practices for opioid use disorder: A data-driven paradigm &amp; systems science approach

El‐Bassel, Nabila; Gilbert, Louisa; Hunt, Tim; Wu, Elwin; Oga, Emmanuel; Mukherjee, Trena I.; Campbell, Aimee N.C.; Sabounchi, Nasim S.; Gutnick, Damara; Kerner, Robin; Venner, K; Lounsbury, David W.; Huang, Terry T.‐K.; Rapkin, Bruce D.

doi:10.1016/j.drugalcdep.2021.108675

Cited by 21 publications

(17 citation statements)

References 89 publications

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“…Community engagement throughout the development process is critical toward developing digital health tools for underserved people who use drugs. We combined community-engaged research and user-centered design methods to serve as the foundation of the co-design process with our community, academic, and industry partners ( 8 , 10 , 11 ). Dismantling the power structure among academic and industry partners was a critical initial step toward creating equity in engagement of community-based partners, particularly among persons with lived experience in addiction, a history of incarceration, or financial challenges.…”

Section: Discussionmentioning

confidence: 99%

“…We employed principles from community-engaged research and user-centered design to inform our co-design process and formative research approach. Community-engaged research re-aligns typical researcher-subject hierarchies to involve communities, elevate their perspective within the research and solutioning process, and dismantle existing power structures ( 8 , 10 ). User-centered design is an iterative process that engages a multidisciplinary team based on the active involvement of end users to improve understanding of the user and task requirements throughout the design and development process ( 11 ).…”

Section: Methodsmentioning

confidence: 99%

“…Community based participatory research (CBPR) is a co-collaborative model that re-aligns traditional “researcher-subject” hierarchies to promote partnership and respond to community priorities ( 8 ). The community through CBPR becomes a part of the research team ( 8 ). Central to health equity-oriented approaches is the inclusion of PWUD throughout planning, development, and implementation ( 1 ).…”

Section: Introductionmentioning

confidence: 99%

“…Community involvement increases trust and efficacy of the resulting product within vulnerable populations ( 7 ). CBPR provides a trajectory to remedy historical racial/ethnic and socioeconomic inequities through co-collaboration with marginalized groups ( 8 ). Encompassing strategies such as community coalitions ( 8 ), qualitative interviews, and leading with a “nothing about us without us” ( 9 ) perspective, marginalized communities become co-collaborators and integral contributors to digital health and other solutions aimed at their community.…”

Section: Introductionmentioning

confidence: 99%

“…CBPR provides a trajectory to remedy historical racial/ethnic and socioeconomic inequities through co-collaboration with marginalized groups ( 8 ). Encompassing strategies such as community coalitions ( 8 ), qualitative interviews, and leading with a “nothing about us without us” ( 9 ) perspective, marginalized communities become co-collaborators and integral contributors to digital health and other solutions aimed at their community. Performing community level engaged research improves implementation, addresses stigma, and acts to improve the analysis and understanding of the data by providing additional context.…”

Section: Introductionmentioning

confidence: 99%

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Ethical by Design: Engaging the Community to Co-design a Digital Health Ecosystem to Improve Overdose Prevention Efforts Among Highly Vulnerable People Who Use Drugs

Claborn

Creech

Whittfield

et al. 2022

Front. Digit. Health

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IntroductionThe COVID-19 pandemic highlighted significant structural barriers that exacerbated health inequities among people at-risk for overdose. Digital health technologies have the potential to overcome some of these barriers; however, development of these technologies often fails to include people who use drugs and community key stakeholders in the development and dissemination process. Consequently, this may exacerbate health inequities and the digital divide among underserved, highly vulnerable people who use drugs.MethodsThe current study employed community-engaged research methods to develop and implement a digital platform to improve overdose surveillance among harm reductionists in Texas. We used a co-design process with four community advisory boards (CABs) and conducted qualitative interviews among N = 74 key stakeholders (n = 24 people who use drugs; n = 20 first responders, n = 20 harm reductionists, n = 10 overdose prevention and response experts) to inform initial design and development.ResultsSeveral key themes emerged through the qualitative data pertaining to technical features and human factors applications. In regards to technical features, participants highlighted the importance of developing a unified system of overdose reporting and data sharing among community organizations within a county or region to better inform overdose surveillance and community outreach efforts. This system should include flexible data entry methods, have offline usage capability, be user friendly, and allow for tracking of overdose-related supply distribution. Key human factor themes included the need to use person-centered language, to preserve the established trust of the community organizations among people who use drugs, to be tailored to specific target user groups (e.g., harm reduction workers, people who use drugs, first responders), and maintain transparency of data usage. Further, participants noted the importance of developing a platform that will facilitate client conversations about overdose when doing outreach in the field. These themes were reviewed by our CABs, academic, and industry partners to design an overdose digital platform uniquely tailored to community-based organizations providing harm reduction and overdose response efforts.DiscussionCommunity engagement throughout the development process is critical toward developing digital health tools for underserved people who use drugs. Dismantling the power structure among academic and industry partners is critical toward creating equity in engagement of community-based partners, particularly among persons with lived experience in addiction, a history of incarceration, or financial challenges. Our study highlights a multisectoral co-design process across community-academic-industry partners to develop a digital health tool tailored to the unique needs of community-based harm reduction organizations serving highly vulnerable people who use drugs. These partnerships are essential toward creating impact and reducing health disparities among highly vulnerable people who use drugs.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Ethical by Design: Engaging the Community to Co-design a Digital Health Ecosystem to Improve Overdose Prevention Efforts Among Highly Vulnerable People Who Use Drugs

Claborn

Creech

Whittfield

et al. 2022

Front. Digit. Health

View full text Add to dashboard Cite

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The Need for Structural Interventions for Persons Who Misuse Opioids

Rafful

Magis-Rodríguez²

2022

Opioids

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Community-Engaged Data Science (CEDS): A Case Study of Working with Communities to Use Data to Inform Change

Olvera,

Plagens,

Ellison

et al. 2024

J Community Health

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Data-informed decision making is a critical goal for many community-based public health research initiatives. However, community partners often encounter challenges when interacting with data. The Community-Engaged Data Science (CEDS) model offers a goal-oriented, iterative guide for communities to collaborate with research data scientists through data ambassadors. This study presents a case study of CEDS applied to research on the opioid epidemic in 18 counties in Ohio as part of the HEALing Communities Study (HCS). Data ambassadors provided a pivotal role in empowering community coalitions to translate data into action using key steps of CEDS which included: data landscapes identifying available data in the community; data action plans from logic models based on community data needs and gaps of data; data collection/sharing agreements; and data systems including portals and dashboards. Throughout the CEDS process, data ambassadors emphasized sustainable data workflows, supporting continued data engagement beyond the HCS. The implementation of CEDS in Ohio underscored the importance of relationship building, timing of implementation, understanding communities’ data preferences, and flexibility when working with communities. Researchers should consider implementing CEDS and integrating a data ambassador in community-based research to enhance community data engagement and drive data-informed interventions to improve public health outcomes.

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Using community engagement to implement evidence-based practices for opioid use disorder: A data-driven paradigm & systems science approach

Cited by 21 publications

References 89 publications

Ethical by Design: Engaging the Community to Co-design a Digital Health Ecosystem to Improve Overdose Prevention Efforts Among Highly Vulnerable People Who Use Drugs

Ethical by Design: Engaging the Community to Co-design a Digital Health Ecosystem to Improve Overdose Prevention Efforts Among Highly Vulnerable People Who Use Drugs

The Need for Structural Interventions for Persons Who Misuse Opioids

Community-Engaged Data Science (CEDS): A Case Study of Working with Communities to Use Data to Inform Change

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