Evidence map›Paper›PMID 35776492›Full record

SynthesisJournal of medical Internet research2022

The Influence of Wearables on Health Care Outcomes in Chronic Disease: Systematic Review.

Graeme Mattison, Oliver Canfell, Doug Forrester, Chelsea Dobbins, Daniel Smith, Juha Töyräs, Clair Sullivan

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 7 pooled it
14.0field-weighted citation impact, top 1% of its field
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

83 citing papers in PubMed, 7 syntheses or guidelines pooled it, 151 citations in OpenAlex.

  1. Pooled it
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  8. Wearable Devices as Tools for Better Hypertension Management in Elderly Patients.Medical science monitor : international medical journal of experimental and clinical research · 2025
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23 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 2 countries.

Graeme MattisonQueensland Digital Health Research Network, Global Change Institute, The University of Queensland, Brisbane, Australia.ORCID 0000-0002-8020-3179
Oliver CanfellQueensland Digital Health Research Network, Global Change Institute, The University of Queensland, Brisbane, Australia.ORCID 0000-0003-2010-3640
Doug ForresterQueensland Digital Health Research Network, Global Change Institute, The University of Queensland, Brisbane, Australia.ORCID 0000-0001-5268-6866
Chelsea DobbinsQueensland Digital Health Research Network, Global Change Institute, The University of Queensland, Brisbane, Australia.ORCID 0000-0001-9420-2452
Daniel SmithMetro North Hospitals and Health Service, Brisbane, Australia.ORCID 0000-0002-8945-1531
Juha TöyräsSchool of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia.ORCID 0000-0002-8035-1606
Clair SullivanQueensland Digital Health Research Network, Global Change Institute, The University of Queensland, Brisbane, Australia.ORCID 0000-0003-2475-9989
The University of Queensland · AUQueensland University of Technology · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic diseases contribute to high rates of disability and mortality. Patient engagement in chronic disease self-management is an essential component of chronic disease models of health care. Wearables provide patient-centered health data in real time, which can help inform self-management decision-making. Despite the perceived benefits of wearables in improving chronic disease self-management, their influence on health care outcomes remains poorly understood.

objectiveThis review aimed to examine the influence of wearables on health care outcomes in individuals with chronic diseases through a systematic review of the literature.

methodsA narrative systematic review was conducted by searching 6 databases for randomized and observational studies published between January 1, 2016, and July 1, 2021, that included the use of a wearable intervention in a chronic disease group to assess its impact on a predefined outcome measure. These outcomes were defined as any influence on the patient or clinician experience, cost-effectiveness, or health care outcomes as a result of the wearable intervention. Data from the included studies were extracted based on 6 key themes, which formed the basis for a narrative qualitative synthesis. All outcomes were mapped against each component of the Quadruple Aim of health care. The guidelines of the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement were followed in this study.

resultsA total of 30 articles were included; studies reported 2446 participants (mean age: range 10.1-74.4 years), and the influence of 14 types of wearables on 18 chronic diseases was presented. The most studied chronic diseases were type 2 diabetes (4/30, 13%), Parkinson disease (3/30, 10%), and chronic lower back pain (3/30, 10%). The results were mixed when assessing the impact on a predefined primary outcome, with 50% (15/30) of studies finding a positive influence on the studied outcome and 50% (15/30) demonstrating a nil effect. There was a positive effect of 3D virtual reality systems on chronic pain in 7% (2/30) of studies that evaluated 2 distinct chronic pain syndromes. Mixed results were observed in influencing exercise capacity; weight; and biomarkers of disease, such as hemoglobin A

conclusionsGiven their popularity and capability, wearables may play an integral role in chronic disease management. However, further research is required to generate a strong evidence base for safe and effective implementation.

trial registrationPROSPERO International Prospective Register of Systematic Reviews CRD42021244562; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=244562.

Indexed as

Chronic PainDiabetes Mellitus, Type 2Wearable Electronic DevicesAdolescentAdultAgedChildChronic DiseaseDelivery of Health CareHumansMiddle AgedQuality of LifeYoung Adultchronic diseasehealth care outcomewearable

Identifiers

PMID35776492
PMCPMC9288104
OpenAlexW4280553349

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.