Evidence map›Paper›PMID 36192724›Full record

Trial reportChiropractic & manual therapies2022

One size does not fit all: Participants' experiences of the selfBACK app to support self-management of low back pain-a qualitative interview study.

Malene J Svendsen, Barbara I Nicholl, Frances S Mair, Karen Wood, Charlotte D N Rasmussen, Mette J Stochkendahl

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Chiropractic & manual therapies, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 7 pooled it
5.2field-weighted citation impact, top 4% 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

18 citing papers in PubMed, 7 syntheses or guidelines pooled it, 30 citations in OpenAlex.

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  5. Moving towards the use of artificial intelligence in pain management.European journal of pain (London, England) · 2025
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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 3 institutions in 2 countries.

Malene J SvendsenDepartment of Sports Science and Clinical Biomechanics, University of Southern Denmark, Campusvej 55 Odense M, DK-5230, Odense, Denmark.
Barbara I NichollGeneral Practice and Primary Care, Institute of Health and Wellbeing, University of Glasgow, Glasgow, GB, UK.
Frances S MairGeneral Practice and Primary Care, Institute of Health and Wellbeing, University of Glasgow, Glasgow, GB, UK.
Karen WoodGeneral Practice and Primary Care, Institute of Health and Wellbeing, University of Glasgow, Glasgow, GB, UK.
Charlotte D N RasmussenThe National Research Centre for the Working Environment, Copenhagen, Denmark.
Mette J StochkendahlDepartment of Sports Science and Clinical Biomechanics, University of Southern Denmark, Campusvej 55 Odense M, DK-5230, Odense, Denmark. m.jensen@kiroviden.sdu.dk.ORCID 0000-0003-0297-8267
University of Glasgow · GBUniversity of Southern Denmark · DKNational Research Centre for the Working Environment · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLow back pain (LBP) is one of the most common reasons for disability globally. Digital interventions are a promising means of supporting people to self-manage LBP, but implementation of digital interventions has been suboptimal. An artificial intelligence-driven app, selfBACK, was developed to support self-management of LBP as an adjunct to usual care. To better understand the process of implementation from a participant perspective, we qualitatively explored factors influencing embedding, integrating, and sustaining engagement with the selfBACK app, and the self-perceived effects, acceptability, and satisfaction with the selfBACK app.

methodsUsing a qualitative interview study and an analytic framework approach underpinned by Normalization Process Theory (NPT), we investigated the experiences of patients who participated in the selfBACK randomized controlled trial (RCT). Interviews focused on the motivation to participate in the RCT, experiences of using the selfBACK app, and views about future intended use and potential of using digital health interventions for self-management of LBP. Participants were purposively sampled to represent diversity in age, sex, and implementation reflected by a proxy measure of number of app-generated self-management plans during the first three months of RCT participation.

resultsTwenty-six participants aged 21-78, eleven females and fifteen men, with two to fourteen self-management plans, were interviewed between August 2019 and April 2020. A broad range of factors influencing implementation of selfBACK within all constructs of NPT were identified. Key facilitating factors were preferences and beliefs favoring self-management, a friendly, motivational, and reassuring supporter, tailoring and personalization, convenience and ease of use, trustworthiness, perceiving benefits, and tracking achievements. Key impeding factors were preferences and beliefs not favoring self-management, functionality issues, suboptimal tailoring and personalization, insufficient time or conflicting life circumstances, not perceiving benefits, and insufficient involvement of health care practitioners. Self-perceived effects on pain and health, behavior/attitude, and gaining useful knowledge varied by participant.

conclusionsThe high prevalence of LBP globally coupled with the advantages of providing help through an app offers opportunities to help countless people. A range of factors should be considered to facilitate implementation of self-management of LBP or similar pain conditions using digital health tools.

Indexed as

Low Back PainMobile ApplicationsSelf-ManagementFemaleHumansInfantMaleQualitative ResearchBarrierDigital healthEngagementFacilitatorsImplementationLow back painmHealthSelf-managementSmartphone app

Identifiers

PMID36192724
PMCPMC9531397
OpenAlexW4300862764

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.