Evidence map›Paper›PMID 41132394›Full record

ArticleFrontiers in digital health2025

Wearable technology in the management of complex chronic illness: preliminary survey results on self-reported outcomes.

Abbey Sawyer, Rory Preston, Harry Leeming, Luke Martin-Fuller, Amy Proal, David Putrino

Registry-linked trialAbstract read
In one paragraph

Article in Frontiers in digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07454395 (Investigating the Effect of Swimming on Autonomic and Symptomatic Responses in Individuals With Myalgic Encephalomyelitis/Chronic Fatigue Syndrome), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT07454395 nasuspendednot on this mapstarted 2026, after this paper: background citation

Investigating the Effect of Swimming on Autonomic and Symptomatic Responses in Individuals With Myalgic Encephalomyelitis/Chronic Fatigue Syndrome

TypeinterventionalSponsorSimon Fraser UniversityRan2026 to 2027Enrolled50ConditionsME/CFS, Long COVID, Post- COVID-19 Syndrome, POTS - Postural Orthostatic Tachycardia SyndromeArmsSwimming, Cycling
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Abbey SawyerCohen Center for Recovery from Complex Chronic Illness, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Rory PrestonVisible Health Inc., Wilmington, DE, United States.
Harry LeemingVisible Health Inc., Wilmington, DE, United States.
Luke Martin-FullerVisible Health Inc., Wilmington, DE, United States.
Amy ProalPolybio Research Foundation, Medford, MA, United States.
David PutrinoCohen Center for Recovery from Complex Chronic Illness, Icahn School of Medicine at Mount Sinai, New York, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Complex chronic illnesses like Long Covid (LC) and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) are marked by fluctuating symptoms, often exacerbated by physical, cognitive, or emotional exertion in a phenomenon known as post-exertional malaise (PEM). Home monitoring technologies offer potential benefits by enabling individuals to track symptoms and biometrics, aiding in disease self-management. However, the general effectiveness of such tools is still unknown. Methods: A random sample of users of the Visible mobile application (Visible Plus; requires both the armband and paid subscription), aged 18 or older and with self-identified complex chronic illnesses such as LC or ME/CFS, were invited to complete an online survey regarding the impact of the app on their chronic disease self-management. Descriptive statistics related to the responses were analyzed and reported. Results: The survey was distributed to 2,636 people, with 1,301 participants responding (49.3% response rate). The average age was 46 years. 82% of respondents were female, 8% were male, 8% were non-binary, and 2% preferred not to say or preferred to self-describe. Participants self-identified as having ME/CFS only ( Discussion: Home-monitoring based mobile applications are feasible and acceptable for a motivated subgroup of people with energy-limiting complex chronic illnesses, and are associated with self-reported benefits in energy management and participation in daily activities. The findings of this study should be interpreted as descriptive and hypothesis-generating and do not represent clinically significant effects, underscoring the need for randomized controlled trials to formally evaluate efficacy. Future studies should incorporate a comparison group to better differentiate intervention effects from improvements gained through lived experience.

Indexed as

home monitoringlong covidME/CFSmyalgic encephalitissurvey

Identifiers

PMID41132394
PMCPMC12541780

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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.