Evidence map›Paper›PMID 39175941›Full record

ArticleCanadian journal of pain = Revue canadienne de la douleur2024

Randomized controlled trial investigating the effectiveness of a multimodal mobile application for the treatment of chronic pain.

Cynthia J Thomson, Hanna Pahl, Luisa V Giles

Registry-linked trialAbstract read
In one paragraph

Article in Canadian journal of pain = Revue canadienne de la douleur, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07143396 (Evaluation of a Mind-Body Application in Combination With a Graded Movement Program for the Treatment of Chronic Pain), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

NCT07143396 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

Evaluation of a Mind-Body Application in Combination With a Graded Movement Program for the Treatment of Chronic Pain

TypeinterventionalSponsorUniversity of the Fraser ValleyRan2025 to 2025Enrolled100ConditionsChronic Pain, Migraine, Chronic Pain SyndromeArmsMind-body mobile application and guided movement
3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Daily Consistency Over Timing: Routine Formation and Population-Specific Opportunities in mHealth User Adherence.Extended abstracts on Human factors in computing systems. CHI Conference · 2026
    Article
  5. Review
  6. Article
  7. Article
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

3 authors.

Cynthia J ThomsonSchool of Kinesiology, University of the Fraser Valley, Abbotsford, British Columbia, Canada.
Hanna PahlSchool of Kinesiology, University of the Fraser Valley, Abbotsford, British Columbia, Canada.
Luisa V GilesSchool of Kinesiology, University of the Fraser Valley, Abbotsford, British Columbia, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Until recently, treatments for chronic pain commonly relied on in-person interventions, and despite more hybrid care options today, capacity for delivery remains challenged. Digital programs focusing on the psychosocial aspects of pain may provide low-barrier alternatives. Aims: Through a randomized controlled trial, we investigated the effectiveness of a multimodal mobile application. Methods: Participants ( Results: We observed significant improvements in the intervention group compared to the control group with estimated changes of -0.67 (95% confidence interval [CI] -1.04 to -0.29, Conclusions: A short-term mobile app intervention resulted in significant improvements across physical and mental health outcomes compared to wait-listed usual care.

Indexed as

biopsychosocial modelmeditationmobile apppain educationpain management

Identifiers

PMID39175941
PMCPMC11340744

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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.