Evidence map›Paper›PMID 40627437›Full record

ArticleJMIR formative research2025

User-Driven Development of a Digital Behavioral Intervention for Chronic Pain: Multimethod Multiphase Study.

Afra Selma Taygar, Sara Laureen Bartels, Rocío de la Vega, Ida Flink, Linnéa Engman, Suzanne Petersson, Sophie I Johnsson, Katja Boersma, Lance M McCracken, Rikard K Wicksell

Abstract read
In one paragraph

Article in JMIR formative research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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.

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

6 citing papers in PubMed.

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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

10 authors.

Afra Selma TaygarDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-8392-1531
Sara Laureen BartelsDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-2626-2557
Rocío de la VegaDepartment of Personality, Assessment and Psychological Treatment, Universidad de Málaga, Málaga, Spain.ORCID 0000-0002-2517-6948
Ida FlinkDepartment of Social and Psychological Studies, Karlstad University, Karlstad, Sweden.ORCID 0000-0003-2718-7402
Linnéa EngmanDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-8350-1836
Suzanne PeterssonDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-4811-2090
Sophie I JohnssonDepartment of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-9383-1465
Katja BoersmaSchool of Behavioural, Social and Legal Sciences, Center for Health and Medical Psychology (CHAMP), Örebro University, Örebro, Sweden.ORCID 0000-0001-9429-9012
Lance M McCrackenDepartment of Clinical Psychology, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-9734-0153
Rikard K WicksellDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-3525-7573

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent research shows that chronic pain affects 27% of the adult population. For many, pain significantly impairs quality of life and everyday functioning. Behavioral interventions have shown utility, but access remains limited. Digital health solutions can increase reach, but there is a need for user-friendly, feasible, and evidence-based digital interventions.

objectiveThis study aimed to clarify how a digital behavioral intervention for people with chronic pain can be developed through a user-centered approach to address the needs and preferences of the target population.

methodsThis study used a multimethod approach involving end users, namely, patients with chronic pain and therapists, to develop prototypes for a digital behavioral intervention across 3 phases. In the preparation phase (phase 0), fictional patient personas (n=3) were created to represent the diversity of the target population while emphasizing transdiagnostic features across people with chronic pain. In the design phase (phase 1), qualitative data from focus groups with patients (n=5; aged 37-51 years; 4/5, 80% women; 2/5, 40% diagnosed with Ehlers-Danlos syndrome; 3/5, 60% either undiagnosed or uncertain about their diagnosis) and therapists (n=12 licensed psychologists; aged 29-64 years; 9/12, 75% women) were collected to explore end-user preferences for the intervention design and content. In the testing phase (phase 2), the initial full prototype of the digital intervention was piloted with patients (n=11; aged 36-58 years; 9/11, 82% women; with diverse diagnoses, including migraine, arthritis, fibromyalgia, complex regional pain syndrome, hypermobile Ehlers-Danlos syndrome, herniated disc, chronic fatigue syndrome, and 1/11, 9% cases of undiagnosed pain) and therapists (n=3 licensed psychologists; aged 36-58 y; 3/3, 100% women). The Consolidated Framework for Implementation Research was used to structure analyses of end-user feedback.

resultsOn the basis of end-user input, a 6-week digital behavioral intervention for chronic pain was created. Focus groups highlighted the importance of accessibility and adaptability of the digital intervention, emphasizing the need for tailored content, flexibility (eg, contact with the therapist via asynchronous messaging, telephone, or video calls), and user-friendly design (eg, easy navigation between modules, short microsessions, and visualizations). Average weekly ratings (scale from 1=not at all to 7=very much) by patients during pilot-testing indicated that the intervention was helpful (mean range 4.27-5.45, SD range 1.20-2.20), enjoyable (mean range 3.81-4.81, SD range 1.12-2.08), and understandable (mean range 4.45-6, SD range 1.30-1.86), suggesting initial acceptability and usability of the intervention.

conclusionsThe results illustrated the utility of the patient personas when preparing, of the focus groups when designing, and of the end-user feedback when testing this new digital intervention for people with chronic pain. The findings indicated that the intervention is promising while also providing relevant end-user suggestions (eg, video content, text-to-speech function, and add-on modules) to guide further improvements.

Indexed as

Behavior TherapyChronic PainAdultFemaleFocus GroupsHumansMaleMiddle AgedQualitative ResearchQuality of LifeUser-Centered Designbehavioral interventionchronic paindevelopmentdigital therapeuticsend-user involvement

Identifiers

PMID40627437
PMCPMC12284454

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.