ArticleDrug and alcohol dependence2021
Using community engagement to implement evidence-based practices for opioid use disorder: A data-driven paradigm & systems science approach.
Article in Drug and alcohol dependence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed.
- Local level of social inequity moderates implementation of evidence-based practices tailored to minoritized populations to reduce opioid overdose deaths.Journal of substance use and addiction treatment · 2026Trial
- Human-Centered Design for Public Health Innovation: Codesigning a Multicomponent Intervention to Support Youth Across the HIV Care Continuum in Mozambique.Global health, science and practice · 2022Trial
- Understanding Data Use in Community Coalitions: Insights from a CFIR 2.0-Informed Study of the Ohio HEALing Communities Initiative.Community mental health journal · 2026Article
- Community coalition's diversity and targeted overdose prevention strategies designed to reach special populations.Harm reduction journal · 2026Article
- Defining success together: a collaborative approach for client and provider-engaged outcomes indicator development in Ontario.Research involvement and engagement · 2026Article
- Utilization of community engagement in social innovation health projects in low-and-middle income countries: A global sequential mixed methods analysis.PLOS global public health · 2026Article
- Characterizing intersystem and community values to enhance opioid use disorder treatments: Communities That Heal intervention in New York.The International journal on drug policy · 2025Article
- The Practical, Robust Implementation and Sustainability (PRISM)-capabilities model for use of Artificial Intelligence in community-engaged implementation science research.Implementation science : IS · 2025Article
- System dynamics modeling to inform implementation of evidence-based prevention of opioid overdose and fatality: A state-level model from the New York HEALing Communities Study.The International journal on drug policy · 2025Article
- Place-based harms and hidden strengths: a qualitative study exploring facets of neighborhood disinvestment driving opioid overdose among black individuals.Harm reduction journal · 2025Article
- The CAMPUS Study: A Systems Approach to Alcohol-Involved Sexual Violence on College Campuses.Journal of studies on alcohol and drugs · 2025Article
- System dynamics modeling in support of community-based decision-making to reduce opioid overdose fatalities.Frontiers in public health · 2025Article
- Community-Engaged Data Science (CEDS): A Case Study of Working with Communities to Use Data to Inform Change.Journal of community health · 2024Article
- Relational Solidarity and Conflicting Ethics in Dementia Care in Urban India.The journals of gerontology. Series B, Psychological sciences and social sciences · 2024Article
- An Approach to Enhancing Medication Treatment for Opioid Use Disorder in the HEALing Communities Study.Psychiatric services (Washington, D.C.) · 2024Article
- Effects of a Two-Month Exercise Training Program on Concurrent Non-Opiate Substance Use in Opioid-Dependent Patients during Substitution Treatment.Journal of clinical medicine · 2024Article
- Article
- The intersection of drug use discrimination and racial discrimination in the management of chronic non-cancer pain in United States primary care safety-net clinics: Implications for healthcare system and clinic-level changes.Drug and alcohol dependence · 2023Article
- Qualitative System Dynamics Modeling to Support Community Planning in Opioid Overdose Prevention.Research on social work practice · 2023Article
- Intervening on the Intersecting Issues of Intimate Partner Violence, Substance Use, and HIV: A Review of Social Intervention Group's (SIG) Syndemic-Focused Interventions for Women.Research on social work practice · 2023Article
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
Community-driven responses are essential to ensure the adoption, reach and sustainability of evidence-based practices (EBPs) to prevent new cases of opioid use disorder (OUD) and reduce fatal and non-fatal overdoses. Most organizational approaches for selecting and implementing EBPs remain top-down and individually oriented without community engagement (CE). Moreover, few CE approaches have leveraged systems science to integrate community resources, values and priorities. This paper provides a novel CE paradigm that utilizes a data-driven and systems science approach; describes the composition, functions, and roles of researchers in CE; discusses unique ethical considerations that are particularly salient to CE research; and provides a description of how systems science and data-driven approaches to CE may be employed to select a range of EBPs that collectively address community needs. Finally, we conclude with scientific recommendations for the use of CE in research. Greater investment in CE research is needed to ensure contextual, equitable, and sustainable access to EBPs, such as medications for OUD (MOUD) in communities heavily impacted by the opioid epidemic. A data-driven approach to CE research guided by systems science has the potential to ensure adequate saturation and sustainability of EBPs that could significantly reduce opioid overdose and health inequities across the US.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.