Evidence map›Paper›PMID 39652850›Full record

ArticleInteractive journal of medical research2024

Wearable Devices for Supporting Chronic Disease Self-Management: Scoping Review.

Marie-Pierre Gagnon, Steven Ouellet, Eugène Attisso, Wilfried Supper, Samira Amil, Caroline Rhéaume, Jean-Sébastien Paquette, Christian Chabot, Marie-Claude Laferrière, Maxime Sasseville

Abstract readScoping Review
In one paragraph

Article in Interactive journal of medical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 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.

Marie-Pierre GagnonFaculty of Nursing Sciences, Université Laval, Québec, QC, Canada.ORCID https://orcid.org/0000-0002-0782-5457
Steven OuelletFaculty of Nursing Sciences, Université Laval, Québec, QC, Canada.ORCID https://orcid.org/0000-0003-2158-0043
Eugène AttissoFaculty of Nursing Sciences, Université Laval, Québec, QC, Canada.ORCID https://orcid.org/0000-0002-0820-0993
Wilfried SupperFaculty of Nursing Sciences, Université Laval, Québec, QC, Canada.ORCID https://orcid.org/0009-0002-6642-5768
Samira AmilVITAM Research Center on Sustainable Health, Québec, QC, Canada.ORCID https://orcid.org/0000-0002-4024-9762
Caroline RhéaumeVITAM Research Center on Sustainable Health, Québec, QC, Canada.ORCID https://orcid.org/0000-0002-1863-4410
Jean-Sébastien PaquetteVITAM Research Center on Sustainable Health, Québec, QC, Canada.ORCID https://orcid.org/0000-0002-9524-6761
Christian ChabotPatient Partner, VITAM Research Center on Sustainable Health, Québec, QC, Canada.ORCID https://orcid.org/0000-0001-7449-1154
Marie-Claude LaferrièreLibrary, Université Laval, Québec, QC, Canada.ORCID https://orcid.org/0000-0002-2820-1387
Maxime SassevilleFaculty of Nursing Sciences, Université Laval, Québec, QC, Canada.ORCID https://orcid.org/0000-0003-1694-1414

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeople with chronic diseases can benefit from wearable devices in managing their health and encouraging healthy lifestyle habits. Wearables such as activity trackers or blood glucose monitoring devices can lead to positive health impacts, including improved physical activity adherence or better management of type 2 diabetes. Few literature reviews have focused on the intersection of various chronic diseases, the wearable devices used, and the outcomes evaluated in intervention studies, particularly in the context of primary health care.

objectiveThis study aims to identify and describe (1) the chronic diseases represented in intervention studies, (2) the types or combinations of wearables used, and (3) the health or health care outcomes assessed and measured.

methodsWe conducted a scoping review following the Joanna Briggs Institute guidelines, searching the MEDLINE and Web of Science databases for studies published between 2012 and 2022. Pairs of reviewers independently screened titles and abstracts, applied the selection criteria, and performed full-text screening. We included interventions using wearables that automatically collected and transmitted data to adult populations with at least one chronic disease. We excluded studies with participants with only a predisposition to develop a chronic disease, hospitalized patients, patients with acute diseases, patients with active cancer, and cancer survivors. We included randomized controlled trials and cohort, pretest-posttest, observational, mixed methods, and qualitative studies.

resultsAfter the removal of 1987 duplicates, we screened 4540 titles and abstracts. Of the remaining 304 articles after exclusions, we excluded 215 (70.7%) full texts and included 89 (29.3%). Of these 89 texts, 10 (11%) were related to the same interventions as those in the included studies, resulting in 79 studies being included. We structured the results according to chronic disease clusters: (1) diabetes, (2) heart failure, (3) other cardiovascular conditions, (4) hypertension, (5) multimorbidity and other combinations of chronic conditions, (6) chronic obstructive pulmonary disease, (7) chronic pain, (8) musculoskeletal conditions, and (9) asthma. Diabetes was the most frequent health condition (18/79, 23% of the studies), and wearable activity trackers were the most used (42/79, 53% of the studies). In the 79 included studies, 74 clinical, 73 behavioral, 36 patient technology experience, 28 health care system, and 25 holistic or biopsychosocial outcomes were reported.

conclusionsThis scoping review provides an overview of the wearable devices used in chronic disease self-management intervention studies, revealing disparities in both the range of chronic diseases studied and the variety of wearable devices used. These findings offer researchers valuable insights to further explore health care outcomes, validate the impact of concomitant device use, and expand their use to other chronic diseases.

trial registrationOpen Science Framework Registries (OSF) s4wfm; https://osf.io/s4wfm.

Indexed as

chronic diseasesdevicesempowermentmHealthmobile healthmobile phonePRISMAreviewscopingself-careself-managementwearable

Identifiers

PMID39652850
PMCPMC11667132

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.