Evidence map›Paper›PMID 41099037›Full record

ArticleBMJ public health2025

Patients' use of mHealth in their obesity treatment: a Swedish descriptive observational study.

Kajsa Cederblad, Madeleine Blusi, Stephanie E Bonn, Anne Christenson

Abstract read
In one paragraph

Article in BMJ public health, 2025. 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
–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

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

4 authors.

Kajsa CederbladCenter for Obesity, Academic Specialist Center, Stockholm Health Services, Stockholm, Sweden.
Madeleine BlusiDepartment of Nursing, Umeå University, Umeå, Sweden.ORCID https://orcid.org/0000-0003-1428-1950
Stephanie E BonnDepartment of Medicine Solna, Clinical Epidemiology Division, Karolinska Institutet, Stockholm, Sweden.
Anne ChristensonCenter for Obesity, Academic Specialist Center, Stockholm Health Services, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-8519-8778

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Successful obesity treatment involves frequent follow-up contacts, but the use of mHealth contacts has not been evaluated. We aimed to investigate patients' use of an mHealth chat in their obesity treatment. Methods: In this descriptive observational study, we included 492 patients, 16 years or older, from a specialist obesity treatment clinic in Sweden. We assessed chat usage during their first 6 months of treatment, and compared subgroups, considering factors such as age, sex, body mass index (BMI), socioeconomic status, prescribed weight management medications and digital welcome letter. Results: Participants had a mean BMI of 42.5 kg/m Conclusion: Integrating mHealth solutions, including chat function, into obesity treatment programmes can be a way to maintain patient contact, also for patients with low socioeconomic status. Healthcare provider-initiated digital interactions may encourage greater patient engagement.

Indexed as

AdolescentDigital HealthHealth Services AccessibilityObesitySociodemographic Factors

Identifiers

PMID41099037
PMCPMC12519644

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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.