Evidence map›Paper›PMID 35482630›Full record

ArticleExperimental and clinical psychopharmacology2023

Implications of epidemic-pandemic convergence for routine care adoption of contingency management: A case study.

Sean D Regnier, Anthony DeFulio

Abstract read
In one paragraph

Article in Experimental and clinical psychopharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Sean D RegnierDepartment of Psychology.
Anthony DeFulioDepartment of Psychology.ORCID 0000-0002-8211-7047

Funding

Research Training in Drug Abuse BehaviorT32DA035200 · NIDA · UNIVERSITY OF KENTUCKY · PI CRAIG R RUSH, William Walton Stoops · 2013 to 2026
$4.4M
Smartphone-based rewards as a bridge to treatment for naloxone reversal patientsR41DA049390 · NIDA · DYNAMICARE HEALTH, INC. · PI DEFULIO, ANTHONY · 2019 to 2019
$222k
NIDA NIH HHS R41 DA049390NIDA NIH HHS T32 DA035200
6 · The paper itself

Abstract

The significant increase in opioid-related drug overdoses during the coronavirus disease (COVID-19) pandemic has put an unprecedented burden on hospital emergency departments, who saw as high as an approximate 150% increase in emergency department (ED) admission rates in the initial months of the pandemic. Although overdose is a clear sign of problem drug use, only a small proportion of nonfatal overdose patients enroll in treatment within 30 days of their overdose. To bridge the gap between opioid overdoses and treatment entry, a smartphone-smart debit card contingency management program was developed to promote entry into medication-assisted treatment by out-of-treatment opioid users who have recently received care in a hospital emergency department. The case study described in this article highlights a successful implementation of this intervention despite numerous disruptions related to COVID-19 that would have made engagement difficult without the remote access to contingency management provided by this technology. Patient status over time is presented in conjunction with contingency management earnings. Technology-based contingency management may provide improved scalability, rigorous outcomes metrics, and lower costs than prior onsite, manual contingency management (CM) approaches. The COVID-19 pandemic, in combination with the opioid epidemic has created a context in which historical obstacles to the adoption of contingency management may be overcome. This case study demonstrates the potential utility of smartphone-based contingency management when in-person care is difficult to access or disrupted. The requirement for further research demonstrating the efficacy of these approaches is discussed. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Indexed as

COVID-19Drug OverdoseOpioid-Related DisordersAnalgesics, OpioidHumansPandemicsAnalgesics, Opioid

Identifiers

PMID35482630
PMCPMC10128617

What OpenQuestion holds

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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.