Effect of the Communities That HEAL Intervention on Overdose Education and Naloxone Distribution: A Cluster-Randomized, Wait-List Controlled Trial.
Objectives. To determine whether the Communities That HEAL (CTH) intervention is effective in increasing naloxone distribution compared with usual care. Methods. The HEALing (Helping to End Addiction Long-Term) Communities Study (HCS) is a cluster-randomized, parallel-arm, wait-list controlled imple...
| Publicado en: | American Journal of Public Health Vol. 115; no. 1; pp. 83 - 95 |
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| Autores principales: | , , , , , , , , , , , , , , , , , , , |
| Formato: | Artículo |
| Publicado: |
American Public Health Association
Jan2025
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=181413117&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 181413117 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00900036 APH jtl: American Journal of Public Health issn: 00900036 maglogo: N pubinfo: dt: Jan2025 vid: 115 iid: 1 pid: 44 pub: American Public Health Association artinfo: ui: 181413117 10.2105/AJPH.2024.307845 ppf: 83 ppct: 12 formats: tig: atl: Effect of the Communities That HEAL Intervention on Overdose Education and Naloxone Distribution: A Cluster-Randomized, Wait-List Controlled Trial. aug: au: Freeman, Patricia R. Walley, Alexander Y. Winhusen, T. John Oga, Emmanuel A. Villani, Jennifer Hunt, Timothy Chandler, Redonna K. Oyler, Douglas R. Reilly, Brittni Gelberg, Kitty Douglas, Christian Lyons, Michael S. Holloway, JaNae Vandergrift, Nathan A. Adams, Joella W. Asman, Katherine Baker, Trevor J. Brancato, Candace J. Cheng, Debbie M. Childerhose, Janet E. su: New York (State) Ohio Kentucky Massachusetts Substance abuse Health education Drug overdose Research funding Statistical sampling Opioid abuse Descriptive statistics Naloxone Health outcome assessment Comparative studies Confidence intervals Narcotic antagonists Regression analysis sug: subj: Substance abuse Health education New York (State) Ohio Kentucky Massachusetts Marketing Research and Public Opinion Polling Drug overdose Research funding Statistical sampling Opioid abuse Descriptive statistics Naloxone Health outcome assessment Comparative studies Confidence intervals Narcotic antagonists Regression analysis ab: Objectives. To determine whether the Communities That HEAL (CTH) intervention is effective in increasing naloxone distribution compared with usual care. Methods. The HEALing (Helping to End Addiction Long-Term) Communities Study (HCS) is a cluster-randomized, parallel-arm, wait-list controlled implementation science trial testing the impact of the CTH intervention on increasing the use of evidence-based practices to lower opioid-related overdose deaths. Communities (n = 67) highly impacted by opioid overdose in Kentucky, Massachusetts, New York, and Ohio were allocated to CTH intervention (n = 34) or wait-list comparison (usual care; n = 33) arms. The primary outcome for this study was the number of naloxone units distributed in HCS communities during the comparison period (July 1, 2021‒June 30, 2022), examined using an intent-to-treat negative binomial regression model. Results. Naloxone distribution was 79% higher in the CTH intervention versus usual care arm (adjusted relative rate = 1.79; 95% confidence interval = 1.28, 2.51; P =.001; adjusted rates of naloxone distribution 3378 vs 1884 naloxone units per 100 000 residents), when controlling for urban‒rural status, state, baseline opioid-related overdose death rate, and baseline naloxone distribution rate. Conclusions. The CTH intervention increased naloxone distribution compared with usual care in communities highly impacted by the opioid crisis. Trial Registration. ClinicalTrials.gov identifier: NCT04111939. (Am J Public Health. 2025;115(1):83–94. https://doi.org/10.2105/AJPH.2024.307845) pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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