Evidence map›Paper›PMID 36897632›Full record

ArticleJMIR human factors2023

Text Messages Exchanged Between Individuals With Opioid Use Disorder and Their mHealth e-Coaches: Content Analysis Study.

Yerina S Ranjit, Warren M Davis, Andrea Fentem, Raven Riordan, Rikki Roscoe, Patricia Cavazos-Rehg

Open access · goldFull text read
In one paragraph

Article in JMIR human factors, 2023. 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
1.0field-weighted citation impact, top 24% of its field
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, 5 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Yerina S RanjitDepartment of Communication, University of Missouri, Columbia, MO, United States.ORCID https://orcid.org/0000-0002-4361-7508
Warren M DavisDepartment of Communication, University of Missouri, Columbia, MO, United States.ORCID https://orcid.org/0000-0001-9745-3337
Andrea FentemDepartment of Psychiatry, Washington University School of Medicine in St Louis, St Louis, MO, United States.ORCID https://orcid.org/0000-0001-9347-7358
Raven RiordanDepartment of Psychiatry, Washington University School of Medicine in St Louis, St Louis, MO, United States.ORCID https://orcid.org/0000-0002-7689-6021
Rikki RoscoeDepartment of Communication, University of Missouri, Columbia, MO, United States.ORCID https://orcid.org/0000-0003-3968-6911
Patricia Cavazos-RehgDepartment of Psychiatry, Washington University School of Medicine in St Louis, St Louis, MO, United States.ORCID https://orcid.org/0000-0003-3352-1198
University of Missouri · USWashington University in St. Louis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOpioid use disorder (OUD) has affected 2.2 million people in the United States. About 7.2 million people reported using illicit drugs in 2019, which contributed to over 70,000 overdose deaths. SMS text messaging interventions have been shown to be effective in OUD recovery. However, the interpersonal communication between individuals in OUD treatment and a support team on digital platforms has not been well examined.

objectiveThis study aims to understand the communication between participants undergoing OUD recovery and their e-coaches by examining the SMS text messages exchanged from the lens of social support and the issues related to OUD treatment.

methodsA content analysis of messages exchanged between individuals recovering from OUD and members of a support team was conducted. Participants were enrolled in a mobile health intervention titled "uMAT-R," a primary feature of which is the ability for patients to instantly connect with a recovery support staff or an "e-coach" via in-app messaging. Our team analyzed dyadic text-based messages of over 12 months. In total, 70 participants' messages and 1196 unique messages were analyzed using a social support framework and OUD recovery topics.

resultsOut of 70 participants, 44 (63%) were between the ages of 31 and 50 years, 47 (67%) were female, 41 (59%) were Caucasian, and 42 (60%) reported living in unstable housing conditions. An average of 17 (SD 16.05) messages were exchanged between each participant and their e-coach. Out of 1196 messages, 64% (n=766) messages were sent by e-coaches and 36% (n=430) by participants. Messages of emotional support occurred the most, with 196 occurrences (n=9, 0.8%) and e-coaches (n=187, 15.6%). Messages of material support had 110 occurrences (participants: n=8, 0.7%; e-coaches: n=102, 8.5%). With OUD recovery topics, opioid use risk factors appeared in most (n=72) occurrences (patient: n=66, 5.5%; e-coach: n=6, 0.5%), followed by a message of avoidance of drug use 3.9% (n=47), which occurred mainly from participants. Depression was correlated with messages of social support (r=0.27; P=.02).

conclusionsIndividuals with OUD who had mobile health needs tended to engage in instant messaging with the recovery support staff. Participants who are engaged in messaging often engage in conversations around risk factors and avoidance of drug use. Instant messaging services can be instrumental in providing the social and educational support needs of individuals recovering from OUD.

Indexed as

content analysiscounselingdepressiondigital healthdruge-coacheHealthmental healthmHealthmobile healthopioidopioid use disorderopiumoverdoserecovery supportsocial supportsubstance usetext messagetext message interventiontext messaging

Identifiers

PMID36897632
PMCPMC10039403
OpenAlexW4320078624

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Textfull text, public
LicenceCC BY
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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.