An Overdose Forecasting Dashboard For Local Harm-Reduction Response.

Details

• Alternative Title:
  Health Promotion Practice, May 2025: An Overdose Forecasting Dashboard For Local Harm-Reduction Response.
• Journal Article:
  Health Promotion Practice
• Personal Author:
  Krieger, Maxwell ; Yedinak, Jesse ; Duong, Ellen ; Macmadu, Alexandria ; Skinner, Alexandra ; Allen, Bennett ; Pratty, Claire ; Ahern, Jennifer ; Cerdá, Magdalena ; Marshall, Brandon D. L.
• Description:
  As the United States grapples with an ongoing overdose crisis, states and jurisdictions are adopting novel approaches to reduce overdose mortality. In one novel approach, public health researchers and leaders in Rhode Island leveraged the state's robust surveillance data and collaborations between government, academic, and community-based organizations (CBOs) to launch the PROVIDENT (PReventing OVerdose using Information and Data from the EnvironmeNT) project, a population-based randomized controlled research trial (NCT05096429) in December 2019. The PROVIDENT trial utilizes machine learning (ML) methods to identify neighborhoods at risk of future overdose deaths at the census-block-group level to inform community-level overdose prevention resource distribution. To disseminate the ML model predictions, our research team developed an interactive, online mapping dashboard in close collaboration with three statewide CBOs. We measured whether these organizations utilized the PROVIDENT dashboard to allocate harm-reduction services based on ML model predictions and collected information about their data-driven decision-making processes. This case study describes how we assembled and piloted this overdose forecasting dashboard for use by CBOs between November 2021 and August 2024. By measuring dashboard logins, completed surveys, and engagement with ongoing training, we illustrate how organizations utilized ML and surveillance data to inform their outreach efforts and generate valuable insights at a neighborhood level.
• Content Notes:
  Author manuscript
• Subjects:
  • Drug Overdose
  • Public Health
  • Community Health Services
  • Machine Learning
• Keywords:
  • overdose prevention
  • machine learning
  • forecasting
  • predictive analytics
  • data dashboard
  • data visualization
  • GIS
  • neighborhood
  • community organizations
• Source:
  Health Promotion Practice, May 2025
• DOI:
  https://doi.org/10.1177/15248399251335620
• ISSN:
  1524-8399
• Pubmed ID:
  40325596
• Pubmed Central ID:
  PMC12651787
• Document Type:
  Text
• Funding:
  K01 CE003586/CE/NCIPC CDC HHSUnited States/ ; K01CE003586/ACL/ACL HHSUnited States/ ; P20 GM125507/GM/NIGMS NIH HHSUnited States/ ; R01 DA046620/DA/NIDA NIH HHSUnited States/
• Name as Subject:
  Rhode Island
• Genre:
  Journal Article
• Pages in Document:
  9 pdf pages
• Download URL:
  https://stacks.cdc.gov/view/cdc/261433/cdc_261433_DS1.pdf
• File Type:
  [PDF - 815.91 KB]
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha-512:7470c89205c95a8c8f252c225654bb70ad8059e54f2c4af78358280d81cea4b545febd8e85db7e80adeb4e6a40163340d928e6f9b41956b6f982fb12c140566a