Contingency Management for Patients Receiving Medication for Opioid Use Disorder: A Systematic Review and Meta-analysis.


Journal

JAMA psychiatry
ISSN: 2168-6238
Titre abrégé: JAMA Psychiatry
Pays: United States
ID NLM: 101589550

Informations de publication

Date de publication:
01 10 2021
Historique:
pubmed: 5 8 2021
medline: 19 1 2022
entrez: 4 8 2021
Statut: ppublish

Résumé

Medication treatment for opioid use disorder (MOUD) is efficacious, but comorbid stimulant use and other behavioral health problems often undermine efficacy. To examine the association of contingency management, a behavioral intervention wherein patients receive material incentives contingent on objectively verified behavior change, with end-of-treatment outcomes for these comorbid behavioral problems. A systematic search of PubMed, Cochrane CENTRAL, Web of Science, and reference sections of articles from inception through May 5, 2020. The following search terms were used: vouchers OR contingency management OR financial incentives. Prospective experimental studies of monetary-based contingency management among participants receiving MOUD. Following Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline, 3 independent investigators extracted data from included studies for a random-effects meta-analysis. Primary outcome was the association of contingency management at end-of-treatment assessments with 6 clinical problems: stimulant use, polysubstance use, illicit opioid use, cigarette smoking, therapy attendance, and medication adherence. Random-effects meta-analysis models were used to compute weighted mean effect size estimates (Cohen d) and corresponding 95% CIs separately for each clinical problem and collapsing across the 3 categories assessing abstinence and the 2 assessing treatment adherence outcomes. The search identified 1443 reports of which 74 reports involving 10 444 unique adult participants met inclusion criteria for narrative review and 60 for inclusion in meta-analyses. Contingency management was associated with end-of-treatment outcomes for all 6 problems examined separately, with mean effect sizes for 4 of 6 in the medium-large range (stimulants, Cohen d = 0.70 [95% CI, 0.49-0.92]; cigarette use, Cohen d = 0.78 [95% CI, 0.43-1.14]; illicit opioid use, Cohen d = 0.58 [95% CI, 0.30-0.86]; medication adherence, Cohen d = 0.75 [95% CI, 0.30-1.21]), and 2 in the small-medium range (polysubstance use, Cohen d = 0.46 [95% CI, 0.30-0.62]; therapy attendance, d = 0.43 [95% CI, 0.22-0.65]). Collapsing across abstinence and adherence categories, contingency management was associated with medium effect sizes for abstinence (Cohen d = 0.58; 95% CI, 0.47-0.69) and treatment adherence (Cohen d = 0.62; 95% CI, 0.40-0.84) compared with controls. These results provide evidence supporting the use of contingency management in addressing key clinical problems among patients receiving MOUD, including the ongoing epidemic of comorbid psychomotor stimulant misuse. Policies facilitating integration of contingency management into community MOUD services are sorely needed.

Identifiants

pubmed: 34347030
pii: 2782768
doi: 10.1001/jamapsychiatry.2021.1969
pmc: PMC8340014
doi:

Types de publication

Journal Article Meta-Analysis Research Support, N.I.H., Extramural Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1092-1102

Subventions

Organisme : NIGMS NIH HHS
ID : P20 GM103644
Pays : United States
Organisme : NIDA NIH HHS
ID : T32 DA007242
Pays : United States

Commentaires et corrections

Type : ErratumIn
Type : ErratumIn

Auteurs

Hypatia A Bolívar (HA)

Vermont Center on Behavior and Health, University of Vermont, Burlington.
Department of Psychiatry, University of Vermont, Burlington.

Elias M Klemperer (EM)

Vermont Center on Behavior and Health, University of Vermont, Burlington.
Department of Psychiatry, University of Vermont, Burlington.

Sulamunn R M Coleman (SRM)

Vermont Center on Behavior and Health, University of Vermont, Burlington.
Department of Psychiatry, University of Vermont, Burlington.

Michael DeSarno (M)

Medical Biostatistics, University of Vermont, Burlington.

Joan M Skelly (JM)

Medical Biostatistics, University of Vermont, Burlington.

Stephen T Higgins (ST)

Vermont Center on Behavior and Health, University of Vermont, Burlington.
Department of Psychiatry, University of Vermont, Burlington.
Department of Psychological Science, University of Vermont, Burlington.

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Classifications MeSH