Evidence map›Paper›PMID 29720359›Full record

ArticleJournal of medical Internet research2018

Diffusion of the Digital Health Self-Tracking Movement in Canada: Results of a National Survey.

Guy Paré, Chad Leaver, Claire Bourget

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07322510 (Health Behaviour Change, Education on Risk Factor Reduction, Physical Activity Guidance, and Nutrition Counselling With a Remote Team to Support Patient Progress Using Technology in Synchronization With Medication Management and CardioWatch 287-2.), which is not on this map. Cited by 52 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 4 pooled it
24.8field-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.

NCT07322510 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Health Behaviour Change, Education on Risk Factor Reduction, Physical Activity Guidance, and Nutrition Counselling With a Remote Team to Support Patient Progress Using Technology in Synchronization With Medication Management and CardioWatch 287-2. (HEARTS in Sync + CardioWatch 287-2)

TypeinterventionalSponsorNova Scotia Health AuthorityRan2026 to 2029Enrolled216ConditionsWearable Device, Cardiovascular Disease, ASCVD Management, CHF - Congestive Heart FailureArmsRemote Patient Monitoring with Corsano CardioWatch 287-2
3 · Its place in the literature

Who cites it

52 citing papers in PubMed, 4 syntheses or guidelines pooled it, 122 citations in OpenAlex.

  1. Pooled it
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  5. Article
  6. Mobile Health Interventions for Adolescent Smoking Prevention: A Scoping Review.Asian Pacific journal of cancer prevention : APJCP · 2026
    Article
  7. Commitment to Self-Tracking Among Wearable-Device Users: Validation of the C2ST Scale and Known-Groups Evidence.European journal of investigation in health, psychology and education · 2026
    Article
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  11. Observational
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  18. Person-Generated Health Data in Women's Health: Scoping Review.Journal of medical Internet research · 2024
    Article
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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

3 authors at 3 institutions in 1 country.

Guy ParéResearch Chair in Digital Health, HEC Montreal, Montreal, QC, Canada.ORCID 0000-0001-7425-1994
Chad LeaverCanada Health Infoway, Toronto, ON, Canada.ORCID 0000-0002-4562-5202
Claire BourgetCEFRIO, Montreal, QC, Canada.ORCID 0000-0002-1799-3016
Canada Health Infoway · CAHEC Montréal · CAMontreal Council on Foreign Relations · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the ever-increasing availability of mobile apps, consumer wearables, and smart medical devices, more and more individuals are self-tracking and managing their personal health data.

objectiveThe aim of this study was to investigate the diffusion of the digital self-tracking movement in Canada. It provides a comprehensive, yet detailed account of this phenomenon. It examines the profile of digital self-trackers, traditional self-trackers, and nontrackers, further investigating the primary motivations for self-tracking and reasons for nontracking; barriers to adoption of connected care technologies; users' appreciation of their self-tracking devices, including what they perceive to be the main benefits; factors that influence people's intention to continue using connected care technologies in the future; and the reasons for usage discontinuance.

methodsWe conducted an online survey with a sample of 4109 Canadian adults, one of the largest ever. To ensure a representative sample, quota method was used (gender, age), following stratification by region. The maximum margin of error is estimated at 1.6%, 19 times out of 20.

resultsOur findings reveal that 66.20% (2720/4109) of our respondents regularly self-track one or more aspects of their health. About one in 4 respondents (1014/4109, 24.68%) currently owns a wearable or smart medical device, and 57.20% (580/1014) use their devices on a regular basis for self-tracking purposes. Digital self-trackers are typically young or mature adults, healthy, employed, university educated, with an annual family income of over $80,000 CAD. The most popular reported device is the fitness tracker or smartwatch that can capture a range of parameters. Currently, mobile apps and digital self-tracking devices are mainly used to monitor physical activity (856/1669, 51.13%), nutrition (545/1669, 32.65%), sleep patterns (482/1669, 28.88%) and, to a much lesser extent, cardiovascular and pulmonary biomarkers (215/1669, 12.88%), medication intake (126/1669, 7.55%), and glucose level (79/1669, 4.73%). Most users of connected care technologies (481/580, 83.0%) are highly satisfied and 88.2% (511/580) intend to continue using their apps and devices in the future. A majority said smart digital devices have allowed them to maintain or improve their health condition (398/580, 68.5%) and to be better informed about their health in general (387/580, 66.6%). About 33.80% of our sample (1389/4109) is composed of people who do not monitor their health or well-being on a regular basis.

conclusionsOur study shows an opportunity to advance the health of Canadians through connected care technologies. Our findings can be used to set baseline information for future research on the rise of digital health self-tracking and its impacts. Although the use of mobile apps, consumer wearables, and smart medical devices could potentially benefit the growing population of patients with chronic conditions, the question remains as to whether it will diffuse broadly beyond early adopters and across cost inequities.

Indexed as

AdolescentAdultCanadaExerciseFemaleFitness TrackersHumansMaleMiddle AgedMobile ApplicationsMonitoring, PhysiologicSurveys and QuestionnairesYoung Adultactivity trackersquantified-selfself-trackingsurvey methodologywearable devices

Identifiers

PMID29720359
PMCPMC5956159
OpenAlexW2802503123

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.