Evidence map›Paper›PMID 42460159›Full record

ArticleDigital health

Initial evidence of effects of a novel digital behavioural treatment for chronic pain: A series of replicated randomized single-case experimental design studies.

Haya Al Sharaa, Sara Laureen Bartels, Patrick Onghena, Afra Taygar, Linnéa Engman, Ida Flink, Suzanne Petersson, Katja Boersma, Lance M McCracken, Laura Simons and 2 more

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Haya Al SharaaDepartment of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.ORCID https://orcid.org/0009-0001-0644-9859
Sara Laureen BartelsDepartment of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.
Patrick OnghenaMethodology of Educational Sciences Research Group, Faculty of Psychology and Educational Sciences, KU Leuven, Leuven, Belgium.ORCID https://orcid.org/0000-0002-3986-8312
Afra TaygarDepartment of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.
Linnéa EngmanDepartment of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.
Ida FlinkCentre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institute,Stockholm, Sweden.
Suzanne PeterssonDepartment of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.
Katja BoersmaSchool of Behavioural, Social and Legal Sciences, Örebro University, Örebro, Sweden.
Lance M McCrackenDivision of Clinical Psychology, Department of Psychology, Uppsala University, Uppsala, Sweden.
Laura SimonsDepartment of Anaesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.
Johan W S VlaeyenExperimental Health Psychology, Maastricht University, Maastricht, the Netherlands.
Rikard K WicksellDepartment of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic pain affects up to 20% of the population and often results in significant distress, disability, and reduced quality of life. Despite compelling evidence for behavioural treatments, treatment access remains limited. To improve access, a digital behavioural treatment for chronic pain was developed as part of the multi-phase 'DAHLIA' project. The present study evaluates the effects of this newly developed digital behavioural treatment. Methods: Data were collected in a single-arm, iterative trial using a replicated single-case experimental design (SCED). In total, 56 participants received treatment (mean age 47, 87% female, varied pain regions). Participants completed twice daily digital diaries and questionnaires at pre-, and post-treatment, and at 3- and 6-months follow-ups. Diary items and questionnaires assessed psychological flexibility and acceptance, pain-related functioning, pain intensity, and general well-being. Daily diary data were examined using a combined p-value approach to conduct a meta-analysis of the SCED data, and questionnaire data were analysed using linear mixed models. Results: Meta-analyses of daily diary data showed significant improvements in most pain-related items, indicating the utility of treatment in everyday life. Linear mixed model analyses of effects showed significant improvements over time in key outcomes with the largest changes observed in pain acceptance and psychological flexibility and smaller effects in pain-related functioning. Conclusion: This study provides initial evidence for the newly developed digital behavioural treatment for chronic pain. Findings suggest that the treatment can improve resilience, daily functioning and symptoms and suggest the potential of the treatment as an effective evidence-based treatment for chronic pain.

Indexed as

chronic paindigital < generallinear mixed modelsrandomization testsingle-case experimental study

Identifiers

PMID42460159
PMCPMC13369405

What Socratic holds

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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 Socratic graph.