Community dashboards to support data-informed decision-making in the HEALing communities study

Elwin Wu, Jennifer Villani, Alissa Davis, Naleef Fareed, Daniel R. Harris, Timothy R. Huerta, Marc R. LaRochelle, Cortney C. Miller, Emmanuel A. Oga

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

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

Original languageEnglish
Article number108331
JournalDrug and Alcohol Dependence
Volume217
DOIs
StatePublished - Dec 1 2020

Bibliographical note

Funding Information:
This research was supported by the National Institutes of Health through the NIH HEAL Initiative under award numbers UM1DA049394 , UM1DA049406 , UM1DA049412 , UM1DA049415 , and UM1DA049417 (ClinicalTrials.gov Identifier: NCT04111939). This study protocol (Pro00038088) was approved by Advarra Inc., the HEALing Communities Study single Institutional Review Board (sIRB). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health or its NIH HEAL Initiative.

Funding Information:
This research was supported by the National Institutes of Health through the NIH HEAL Initiative under award numbers UM1DA049394, UM1DA049406, UM1DA049412, UM1DA049415, and UM1DA049417 (ClinicalTrials.gov Identifier: NCT04111939). This study protocol (Pro00038088) was approved by Advarra Inc., the HEALing Communities Study single Institutional Review Board (sIRB). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health or its NIH HEAL Initiative.

Publisher Copyright:
© 2020 Elsevier B.V.

Keywords

  • Dashboards
  • HEALing Communities Study
  • Health surveillance
  • Helping to End Addiction Long-term
  • Implementation science
  • Information visualization
  • Interventions
  • Opioid use disorder
  • Overdose

ASJC Scopus subject areas

  • Toxicology
  • Pharmacology
  • Psychiatry and Mental health
  • Pharmacology (medical)

Fingerprint

Dive into the research topics of 'Community dashboards to support data-informed decision-making in the HEALing communities study'. Together they form a unique fingerprint.

Cite this