Evidence map›Paper›PMID 39367439›Full record

Trial reportBMC women's health2024

Examining use of telehealth in jails: linking women to community OUD services.

Michele Staton, Mary Levi, Erin Winston, Carrie B Oser, Amanda Fallin-Bennett, Megan Dickson, J Matthew Webster, Carl Leukefeld, Martha Tillson

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC women's health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04069624 (Kentucky Women's Justice Community Opioid Innovation Network), which is not on this map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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.

NCT04069624 nacompletednot on this map

Kentucky Women's Justice Community Opioid Innovation Network

TypeinterventionalSponsorMichele StatonRan2020 to 2026Enrolled900ConditionsOpioid-use DisorderArmsMOUD Pre-Treatment Telehealth, MOUD Pre-Treatment Telehealth and Peer Navigator, Services as Usual
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. 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.

Michele StatonCollege of Medicine, Department of Behavioral Science, University of Kentucky, 1100 Veterans Drive, Lexington, KY, 40536, USA. mstaton@uky.edu.
Mary LeviCollege of Arts & Sciences, Department of Psychology, University of Kentucky, 106 Kastle Hall, Lexington, KY, 40506, USA.
Erin WinstonCenter on Drug and Alcohol Research, University of Kentucky, 643 Maxwelton Court, Lexington, KY, 40506, USA.
Carrie B OserCollege of Arts & Sciences, Department of Sociology, University of Kentucky, 1531 Patterson Office Tower, 40506, Lexington, KY, USA.
Amanda Fallin-BennettCollege of Nursing, University of Kentucky, 751 Rose Street, 40536, Lexington, KY, USA.
Megan DicksonCollege of Medicine, Department of Behavioral Science, University of Kentucky, 1100 Veterans Drive, Lexington, KY, 40536, USA.
J Matthew WebsterCollege of Medicine, Department of Behavioral Science, University of Kentucky, 1100 Veterans Drive, Lexington, KY, 40536, USA.
Carl LeukefeldCollege of Medicine, Department of Behavioral Science, University of Kentucky, 1100 Veterans Drive, Lexington, KY, 40536, USA.
Martha TillsonCenter on Drug and Alcohol Research, University of Kentucky, 643 Maxwelton Court, Lexington, KY, 40506, USA.

Funding

Kentucky Women's Justice Community Opioid Innovation Network (WJCOIN)UG1DA050069 · NIDA · UNIVERSITY OF KENTUCKY · PI STATON, MICHELE · 2019 to 2023
$8.8M
NIDA NIH HHS UG1 DA050069NIDA NIH HHS UG1DA050069
6 · The paper itself

Abstract

backgroundOpioid use disorder (OUD) remains a significant health care need for women, particularly those involved in the criminal legal system (CLS). There are no studies to date that focus on the utilization of telehealth as a platform for assessment and linkage to medications to treat opioid use disorder (MOUD) at community re-entry for women, despite the fact that women have unique risk factors that may contribute to opioid relapse in the community. The purpose of this mixed-methods study is to provide an overview of the innovative use of telehealth for linking incarcerated women to community MOUD treatment in the Kentucky-hub of the Justice Community Opioid Innovation Network (JCOIN).

methodsThis study incorporates qualitative and quantitative data collection with MOUD providers, recovery staff involved in peer navigation services, and women who are incarcerated to understand perceptions of the use of telehealth prior to jail release as a linkage to community services.

resultsFindings from this study suggest overall support for the use of telehealth between community MOUD treatment providers and women who are incarcerated using videoconferencing technology. On average, there was very little variation in provider favorable feedback related to clinical engagement or in face-to-face comparability, as well as how telehealth allowed the participant to discuss personal and sensitive issues during the clinical assessment.

conclusionsStudy findings suggest benefits associated with the use of telehealth in increasing access to treatment for women with OUD. Jails are critical venues for telehealth interventions because they provide the opportunity to reach women who have been actively using illicit substances, often have advanced-stage substance use disorders which have compromised their health and mental health, and often have not been previously identified as needing treatment.

trial registrationThis study was originally registered on 8/23/19, ClinicalTrials.gov, #NCT04069624.

Indexed as

JailsOpioid-Related DisordersPrisonersTelemedicineAdultFemaleHumansKentuckyMiddle AgedPrisonsJailsOpioid use disorderTelehealthWomen

Identifiers

PMID39367439
PMCPMC11451235

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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.