Evidence map›Paper›PMID 40779762›Full record

ArticleJMIR medical informatics2025

Dolodoc, an App to Leverage Self-Management of Chronic Pain: Design, Development, and Implementation Report.

Frederic Ehrler, Julie Guebey, Jessica Rochat, Laetitia Gosetto, Benno Rehberg, Christian Lovis, Aude Molinard-Chenu

Abstract read
In one paragraph

Article in JMIR medical informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Frederic EhrlerDivision of medical information science, Diagnostic department, University Hospital of Geneva, Gabrielle Perret Gentil 4, Geneva, 1200, Switzerland, 41 765327838.ORCID 0000-0001-9734-3242
Julie GuebeyDivision of medical information science, Diagnostic department, University Hospital of Geneva, Gabrielle Perret Gentil 4, Geneva, 1200, Switzerland, 41 765327838.ORCID 0009-0009-3758-4656
Jessica RochatDivision of medical information science, Diagnostic department, University Hospital of Geneva, Gabrielle Perret Gentil 4, Geneva, 1200, Switzerland, 41 765327838.ORCID 0000-0001-8438-6745
Laetitia GosettoDivision of medical information science, Diagnostic department, University Hospital of Geneva, Gabrielle Perret Gentil 4, Geneva, 1200, Switzerland, 41 765327838.ORCID 0000-0002-9432-2160
Benno RehbergAnesthesiology, University Hospital of Geneva, Geneva, Switzerland.ORCID 0000-0002-3145-1555
Christian LovisDivision of medical information science, Diagnostic department, University Hospital of Geneva, Gabrielle Perret Gentil 4, Geneva, 1200, Switzerland, 41 765327838.ORCID 0000-0002-2681-8076
Aude Molinard-ChenuDivision of medical information science, Diagnostic department, University Hospital of Geneva, Gabrielle Perret Gentil 4, Geneva, 1200, Switzerland, 41 765327838.ORCID 0000-0002-2552-9520

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic pain affects approximately 19% of the European population and presents major challenges, both in terms of individual impact and the economic burden on health care systems. While clinical expertise remains essential, patient empowerment through self-management tools has become a key component in the long-term management of chronic pain. Objective: This report describes the development and implementation of Dolodoc, a mobile app designed to support patients with chronic pain in monitoring and managing their condition. Methods: Developed by a research and development team at the University Hospitals of Geneva, Dolodoc enables users to track their pain across 7 dimensions of daily life. A digital coach provides personalized guidance, drawing from a corpus of over 80 evidence-based recommendations elaborated by clinical experts. The project was conducted over 4 years with the early involvement of stakeholders, including pain specialists and end users, to ensure alignment with user needs. Emphasis was placed on both the scientific validity and accessibility of the recommendations. Results: The project was completed on time and within budget. The app was made freely available to patients identified as likely to benefit. However, a notable limitation is the absence of predefined key performance indicators to assess the impact of the intervention quantitatively. Conclusions: This implementation report illustrates how mobile technology can be leveraged in a university hospital context to address the needs of patients with chronic pain and promote self-management. Early and sustained collaboration with stakeholders was instrumental in aligning the solution with both clinical evidence and user expectations.

Indexed as

Chronic PainMobile ApplicationsPain ManagementSelf-ManagementHumanschronic painhealth behavior changeimplementationmHealthself-managementuser-centered design

Identifiers

PMID40779762
PMCPMC12334107

What Socratic holds

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LicenceCC BY
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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 Socratic graph.