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The HEALing (Helping to End Addiction Long-term

Authors :
Leyla Stambaugh
Emmanuel A. Oga
Debbie M. Cheng
Drew Speer
Terry T.-K. Huang
R. Craig Lefebvre
Katherine L. Thompson
Richard Saitz
Dana Bernson
Katherine R. Marks
Michael W. Konstan
Timothy R. Huerta
Marc R. Larochelle
Jennifer Miles
Nabila El-Bassel
Greg Young
Jag Chhatwal
Jeffrey H. Samet
Bridget Freisthler
Sarah Mann
Daniel J. Feaster
Daniel M. Walker
Michael S. Lyons
Joshua A. Barocas
Frances R. Levin
April M. Young
Danelle Stevens-Watkins
Darcy A. Freedman
Sharon L. Walsh
Eric E. Seiber
Hilary L. Surratt
Bruce D. Rapkin
Andrea Czajkowski
Philip M. Westgate
Sandra Rodriguez
Theresa Winhusen
Damara Gutnick
Benjamin P. Linas
Denis Nash
Pamela J. Salsberry
Michelle R. Lofwall
Joshua L. Bush
Jeffery C. Talbert
Tara McCrimmon
Rebecca D. Jackson
David W. Lounsbury
Kim Toussant
Maneesha Aggarwal
Amy Button
Nicky Lewis
Nathan A. Vandergrift
Hannah K. Knudsen
Nasim S. Sabounchi
Gary A. Zarkin
Dawn Goddard-Eckrich
Cortney C. Miller
Kathryn E. McCollister
Tracy Plouck
Scott T. Walters
Soledad Fernandez
Aimee N.C. Campbell
Heather M. Bush
Edward V. Nunes
Svetla Slavova
LaShawn Glasgow
Bruce R. Schackman
Charles Edward Knott
James L. David
Lisa Rosen-Metsch
Thomas Clarke
Donald W. Helme
Erika L. Crable
Ann Scheck McAlearney
Timothy Hunt
Elwin Wu
Michael D. Slater
Redonna K. Chandler
Arnie Aldridge
Kevin Paul Conway
Caroline Savitsky
Donna Beers
Mari-Lynn Drainoni
Rachel Bowers-Sword
Laura C. Fanucchi
Carrie B. Oser
Robin Kerner
Elisabeth Dowling Root
Carolina Barbosa
Katherine M. Keyes
Carly Bridden
Patricia R. Freeman
Jennifer L. Brown
Michael D. Stein
Alexander Y. Walley
Jennifer Villani
Linda Sprague Martinez
Trevor Baker
Ayaz Hyder
Michele Staton
Louisa Gilbert
Magdalena Cerdá
Kristin Harlow
Tracy A. Battaglia
Source :
Drug and Alcohol Dependence
Publication Year :
2020

Abstract

Highlights • HEALing Communities Study is a parallel-group cluster randomized controlled trial. • Communities That HEAL intervention’s goal is to reduce opioid overdose deaths. • Structured consensus decision-making strategy guided study measure development. • More than 80 study measure specifications and a common data model were developed. • The study will provide methodology and longitudinal community data for research.<br />Background Opioid overdose deaths remain high in the U.S. Despite having effective interventions to prevent overdose deaths, there are numerous barriers that impede their adoption. The primary aim of the HEALing Communities Study (HCS) is to determine the impact of an intervention consisting of community-engaged, data-driven selection, and implementation of an integrated set of evidence-based practices (EBPs) on reducing opioid overdose deaths. Methods The HCS is a four year multi-site, parallel-group, cluster randomized wait-list controlled trial. Communities (n = 67) in Kentucky, Massachusetts, New York and Ohio are randomized to active intervention (Wave 1), which starts the intervention in Year 1 or the wait-list control (Wave 2), which starts the intervention in Year 3. The HCS will test a conceptually driven framework to assist communities in selecting and adopting EBPs with three components: 1) A community engagement strategy with local coalitions to guide and implement the intervention; 2) A compendium of EBPs coupled with technical assistance; and 3) A series of communication campaigns to increase awareness and demand for EBPs and reduce stigma. An implementation science framework guides the intervention and allows for examination of the multilevel contexts that promote or impede adoption and expansion of EBPs. The primary outcome, number of opioid overdose deaths, will be compared between Wave 1 and Wave 2 communities during Year 2 of the intervention for Wave 1. Numerous secondary outcomes will be examined. Discussion The HCS is the largest community-based implementation study in the field of addiction with an ambitious goal of significantly reducing fatal opioid overdoses.

Details

ISSN :
18790046
Volume :
217
Database :
OpenAIRE
Journal :
Drug and alcohol dependence
Accession number :
edsair.doi.dedup.....e9ace87c682aff7999b61dabbd5ed30a