Evidence map›Paper›PMID 32673272›Full record

ArticleJMIR research protocols2020

Feasibility of a Mobile Health App for Routine Outcome Monitoring and Feedback in Mutual Support Groups Coordinated by SMART Recovery Australia: Protocol for a Pilot Study.

Peter J Kelly, Alison K Beck, Amanda L Baker, Frank P Deane, Leanne Hides, Victoria Manning, Anthony Shakeshaft, Briony Larance, Joanne Neale, John Kelly and 6 more

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.2field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 9 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

16 authors at 8 institutions in 3 countries.

Peter J KellyFaculty of Social Sciences, School of Psychology, University of Wollongong, Wollongong, Australia.ORCID https://orcid.org/0000-0003-0500-1865
Alison K BeckFaculty of Social Sciences, School of Psychology, University of Wollongong, Wollongong, Australia.ORCID https://orcid.org/0000-0002-9031-2117
Amanda L BakerSchool of Medicine and Public Health, University of Newcastle, Callaghan, Australia.ORCID https://orcid.org/0000-0002-3328-7146
Frank P DeaneFaculty of Social Sciences, School of Psychology, University of Wollongong, Wollongong, Australia.ORCID https://orcid.org/0000-0002-6247-7416
Leanne HidesCentre for Youth Substance Abuse Research, Lives Lived Well Group, School of Psychology, University of Queensland, Brisbane St Lucia, Australia.ORCID https://orcid.org/0000-0002-4550-8460
Victoria ManningFaculty of Medicine, Nursing and Health Sciences, Eastern Health Clinical School, Monash University, Melbourne, Australia.ORCID https://orcid.org/0000-0003-3908-5980
Anthony ShakeshaftFaculty of Arts and Social Sciences, Centre for Social Research in Health, University of New South Wales, Sydney, Australia.ORCID https://orcid.org/0000-0002-5472-0930
Briony LaranceFaculty of Social Sciences, School of Psychology, University of Wollongong, Wollongong, Australia.ORCID https://orcid.org/0000-0003-3800-7673
Joanne NealeInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-1502-5983
John KellyCentre for Addiction Medicine, Harvard Medical School, Harvard University, Boston, MA, United States.ORCID https://orcid.org/0000-0001-6915-0750
Christopher OldmeadowClinical Research Design, IT and Statistical Support Unit, Hunter Medical Research Institute, New Lambton, Australia.ORCID https://orcid.org/0000-0001-6104-1322
Andrew SearlesHealth Research Economics Unit, Hunter Medical Research Institute, New Lambton, Australia.ORCID https://orcid.org/0000-0002-9452-9735
Carla TreloarFaculty of Arts and Social Sciences, Centre for Social Research in Health, University of New South Wales, Sydney, Australia.ORCID https://orcid.org/0000-0002-8230-0386
Rebecca M GrayFaculty of Arts and Social Sciences, Centre for Social Research in Health, University of New South Wales, Sydney, Australia.ORCID https://orcid.org/0000-0002-5637-623X
Angela ArgentSMART Recovery Australia, Sydney, Australia.ORCID https://orcid.org/0000-0002-8546-882X
Ryan McGlaughlinSMART Recovery Australia, Sydney, Australia.ORCID https://orcid.org/0000-0002-7456-4541
University of Wollongong · AUUNSW Sydney · AUHunter Medical Research Institute · AUEastern Health · AUHarvard University · USKing's College London · GBThe University of Queensland · AUUniversity of Newcastle Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the importance and popularity of mutual support groups, there have been no systematic attempts to implement and evaluate routine outcome monitoring (ROM) in these settings. Unlike other mutual support groups for addiction, trained facilitators lead all Self-Management and Recovery Training (SMART Recovery) groups, thereby providing an opportunity to implement ROM as a routine component of SMART Recovery groups.

objectiveThis study protocol aims to describe a stage 1 pilot study designed to explore the feasibility and acceptability of a novel, purpose-built mobile health (mHealth) ROM and feedback app (Smart Track) in SMART Recovery groups coordinated by SMART Recovery Australia (SRAU) The secondary objectives are to describe Smart Track usage patterns, explore psychometric properties of the ROM items (ie, internal reliability and convergent and divergent validity), and provide preliminary evidence for participant reported outcomes (such as alcohol and other drug use, self-reported recovery, and mental health).

methodsParticipants (n=100) from the SMART Recovery groups across New South Wales, Australia, will be recruited to a nonrandomized, prospective, single-arm trial of the Smart Track app. There are 4 modes of data collection: (1) ROM data collected from group participants via the Smart Track app, (2) data analytics summarizing user interactions with Smart Track, (3) quantitative interview and survey data of group participants (baseline, 2-week follow-up, and 2-month follow-up), and (4) qualitative interviews with group participants (n=20) and facilitators (n=10). Feasibility and acceptability (primary objectives) will be analyzed using descriptive statistics, a cost analysis, and a qualitative evaluation.

resultsAt the time of submission, 13 sites (25 groups per week) had agreed to be involved. Funding was awarded on August 14, 2017, and ethics approval was granted on April 26, 2018 (HREC/18/WGONG/34; 2018/099). Enrollment is due to commence in July 2019. Data collection is due to be finalized in October 2019.

conclusionsTo the best of our knowledge, this study is the first to use ROM and tailored feedback within a mutual support group setting for addictive behaviors. Our study design will provide an opportunity to identify the acceptability of a novel mHealth ROM and feedback app within this setting and provide detailed information on what factors promote or hinder ROM usage within this context. This project aims to offer a new tool, should Smart Track prove feasible and acceptable, that service providers, policy makers, and researchers could use in the future to understand the impact of SMART Recovery groups.

trial registrationAustralian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12619000686101; https://anzctr.org.au/Trial/Registration/TrialReview.aspx?id=377336. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/15113.

Indexed as

addictionmHealthmobile phonemutual aidmutual support grouproutine outcome monitoringSMART Recoverytreatment progress feedback

Identifiers

PMID32673272
PMCPMC7380906
OpenAlexW3021633900

What OpenQuestion holds

Textmetadata
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.