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Community dashboards to support data-informed decision-making in the HEALing communities study
BACKGROUND: With opioid misuse, opioid use disorder (OUD), and opioid overdose deaths persisting at epidemic levels in the U.S., the largest implementation study in addiction research—the HEALing Communities Study (HCS)—is evaluating the impact of the Communities That Heal (CTH) intervention on redu...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier B.V.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7528750/ https://www.ncbi.nlm.nih.gov/pubmed/33070058 http://dx.doi.org/10.1016/j.drugalcdep.2020.108331 |
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author | Wu, Elwin Villani, Jennifer Davis, Alissa Fareed, Naleef Harris, Daniel R. Huerta, Timothy R. LaRochelle, Marc R. Miller, Cortney C. Oga, Emmanuel A. |
author_facet | Wu, Elwin Villani, Jennifer Davis, Alissa Fareed, Naleef Harris, Daniel R. Huerta, Timothy R. LaRochelle, Marc R. Miller, Cortney C. Oga, Emmanuel A. |
author_sort | Wu, Elwin |
collection | PubMed |
description | BACKGROUND: With opioid misuse, opioid use disorder (OUD), and opioid overdose deaths persisting at epidemic levels in the U.S., the largest implementation study in addiction research—the HEALing Communities Study (HCS)—is evaluating the impact of the Communities That Heal (CTH) intervention on reducing opioid overdose deaths in 67 disproportionately affected communities from four states (i.e., “sites”). Community-tailored dashboards are central to the CTH intervention’s mandate to implement a community-engaged and data-driven process. These dashboards support a participating community’s decision-making for selection and monitoring of evidence-based practices to reduce opioid overdose deaths. METHODS/DESIGN: A community-tailored dashboard is a web-based set of interactive data visualizations of community-specific metrics. Metrics include opioid overdose deaths and other OUD-related measures, as well as drivers of change of these outcomes in a community. Each community-tailored dashboard is a product of a co-creation process between HCS researchers and stakeholders from each community. The four research sites used a varied set of technical approaches and solutions to support the scientific design and CTH intervention implementation. Ongoing evaluation of the dashboards involves quantitative and qualitative data on key aspects posited to shape dashboard use combined with website analytics. DISCUSSION: The HCS presents an opportunity to advance how community-tailored dashboards can foster community-driven solutions to address the opioid epidemic. Lessons learned can be applied to inform interventions for public health concerns and issues that have disproportionate impact across communities and populations (e.g., racial/ethnic and sexual/gender minorities and other marginalized individuals). TRIAL REGISTRATION: ClinicalTrials.gov (NCT04111939) |
format | Online Article Text |
id | pubmed-7528750 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75287502020-10-02 Community dashboards to support data-informed decision-making in the HEALing communities study Wu, Elwin Villani, Jennifer Davis, Alissa Fareed, Naleef Harris, Daniel R. Huerta, Timothy R. LaRochelle, Marc R. Miller, Cortney C. Oga, Emmanuel A. Drug Alcohol Depend Article BACKGROUND: With opioid misuse, opioid use disorder (OUD), and opioid overdose deaths persisting at epidemic levels in the U.S., the largest implementation study in addiction research—the HEALing Communities Study (HCS)—is evaluating the impact of the Communities That Heal (CTH) intervention on reducing opioid overdose deaths in 67 disproportionately affected communities from four states (i.e., “sites”). Community-tailored dashboards are central to the CTH intervention’s mandate to implement a community-engaged and data-driven process. These dashboards support a participating community’s decision-making for selection and monitoring of evidence-based practices to reduce opioid overdose deaths. METHODS/DESIGN: A community-tailored dashboard is a web-based set of interactive data visualizations of community-specific metrics. Metrics include opioid overdose deaths and other OUD-related measures, as well as drivers of change of these outcomes in a community. Each community-tailored dashboard is a product of a co-creation process between HCS researchers and stakeholders from each community. The four research sites used a varied set of technical approaches and solutions to support the scientific design and CTH intervention implementation. Ongoing evaluation of the dashboards involves quantitative and qualitative data on key aspects posited to shape dashboard use combined with website analytics. DISCUSSION: The HCS presents an opportunity to advance how community-tailored dashboards can foster community-driven solutions to address the opioid epidemic. Lessons learned can be applied to inform interventions for public health concerns and issues that have disproportionate impact across communities and populations (e.g., racial/ethnic and sexual/gender minorities and other marginalized individuals). TRIAL REGISTRATION: ClinicalTrials.gov (NCT04111939) Published by Elsevier B.V. 2020-12-01 2020-10-01 /pmc/articles/PMC7528750/ /pubmed/33070058 http://dx.doi.org/10.1016/j.drugalcdep.2020.108331 Text en © 2020 Published by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Wu, Elwin Villani, Jennifer Davis, Alissa Fareed, Naleef Harris, Daniel R. Huerta, Timothy R. LaRochelle, Marc R. Miller, Cortney C. Oga, Emmanuel A. Community dashboards to support data-informed decision-making in the HEALing communities study |
title | Community dashboards to support data-informed decision-making in the HEALing communities study |
title_full | Community dashboards to support data-informed decision-making in the HEALing communities study |
title_fullStr | Community dashboards to support data-informed decision-making in the HEALing communities study |
title_full_unstemmed | Community dashboards to support data-informed decision-making in the HEALing communities study |
title_short | Community dashboards to support data-informed decision-making in the HEALing communities study |
title_sort | community dashboards to support data-informed decision-making in the healing communities study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7528750/ https://www.ncbi.nlm.nih.gov/pubmed/33070058 http://dx.doi.org/10.1016/j.drugalcdep.2020.108331 |
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