Evidence map›Paper›PMID 39498372›Full record

ArticleDrug and alcohol dependence reports2024

Engagement in substance use disorder treatment after an emergency department visit among persons at high risk of opioid overdose: A prediction analysis.

Fiona Bhondoekhan, Yu Li, Benjamin D Hallowell, Linda Mahoney, Mackenzie M Daly, Jamieson Goulet, Francesca L Beaudoin, Laura C Chambers, Brandon D L Marshall

Abstract read
In one paragraph

Article in Drug and alcohol dependence reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Fiona BhondoekhanBrown University School of Public Health, Department of Epidemiology, 121 South Main Street, Providence, RI, USA.
Yu LiBrown University School of Public Health, Department of Epidemiology, 121 South Main Street, Providence, RI, USA.
Benjamin D HallowellRhode Island Department of Health, Providence, RI, USA.
Linda MahoneyDepartment of Behavioral Healthcare, Developmental Disabilities and Hospitals, Cranston, RI, USA.
Mackenzie M DalyDepartment of Behavioral Healthcare, Developmental Disabilities and Hospitals, Cranston, RI, USA.
Jamieson GouletDepartment of Behavioral Healthcare, Developmental Disabilities and Hospitals, Cranston, RI, USA.
Francesca L BeaudoinBrown University School of Public Health, Department of Epidemiology, 121 South Main Street, Providence, RI, USA.
Laura C ChambersBrown University School of Public Health, Department of Epidemiology, 121 South Main Street, Providence, RI, USA.
Brandon D L MarshallBrown University School of Public Health, Department of Epidemiology, 121 South Main Street, Providence, RI, USA.

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI CURT G BECKWITH, DEBBIE M. CHENG · 1998 to 2026
$51.7M
Project 4: Neonatal Abstinence Syndrome (NAS): Fetus to First YearsP20GM125507 · NIGMS · RHODE ISLAND HOSPITAL · PI CURT G BECKWITH · 2018 to 2026
$23.4M
NIAID NIH HHS P30 AI042853NIGMS NIH HHS P20 GM125507
6 · The paper itself

Abstract

Background: Certified peer recovery specialists (CPRS) and licensed clinical social workers (LCSWs) can facilitate substance use disorder (SUD) treatment engagement for emergency department (ED) patients at risk for overdose. Predictors of treatment engagement after such behavioral services are unknown. Methods: This secondary analysis included Rhode Island ED patients at high risk for opioid overdose participating in a randomized controlled trial comparing the effectiveness of CPRS and LCSWs services (2018-2021). SUD treatment engagement within 90 days post-discharge was identified using statewide administrative data. Potential predictors were obtained from baseline questionnaires. Classification and regression trees (CART) were used to identify predictors of treatment engagement. Results: In the ED, 323 and 325 participants received CPRS and LCSWs services, respectively, among whom 141 (43.7 %) and 137 (42.2 %) engaged in SUD treatment within 90 days post-discharge. For the CPRS group, predictors of treatment engagement included unhealthy alcohol use, prescription opioid or benzodiazepine use in past 6 months, and lifetime history of: unstable housing, barriers to treatment, bipolar disorder diagnosis, addiction treatment, and recovery services. In the LCSW group, predictors included health insurance, current pain, opioid overdose in past year, and lifetime history of anxiety disorder diagnosis and mental illness treatment. However, CART had low predictive accuracy (CPRS: 60.9 %, LCSW: 54.8 %). Conclusions: Among ED patients at high risk of opioid overdose receiving behavioral services, 90-day SUD treatment engagement was high. Sociobehavioral and clinical patient characteristics did not accurately predict treatment engagement. Behavioral services should be offered to all ED patients at high risk of opioid overdose.

Indexed as

CART prediction analysisEmergency medicineOpioid overdosePeer recovery specialistsSocial workSubstance use disorder treatment

Identifiers

PMID39498372
PMCPMC11534179

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.