ArticleJournal of medical Internet research2018
Diffusion of the Digital Health Self-Tracking Movement in Canada: Results of a National Survey.
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.
What it found
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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.
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.
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)
Who cites it
52 citing papers in PubMed, 4 syntheses or guidelines pooled it, 122 citations in OpenAlex.
- Effectiveness of digital healthcare in managing menstrual symptoms: a systematic review.Women's health nursing (Seoul, Korea) · 2025Pooled it
- Improving Acceptability of mHealth Apps-The Use of the Technology Acceptance Model to Assess the Acceptability of mHealth Apps: Systematic Review.Journal of medical Internet research · 2025Pooled it
- Remote monitoring technologies for measuring cardiovascular functions in community-dwelling adults: a systematic review.GeroScience · 2023Pooled it
- Fitbit-Based Interventions for Healthy Lifestyle Outcomes: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2020Pooled it
- Optimizing Usability of Digital Health Interventions for Nondigitally Native Adults: A Framework-Based Approach to Develop Just-in-Time Adaptive Interventions (JITAIs) and Other Adaptations.JMIR human factors · 2026Article
- Mobile Health Interventions for Adolescent Smoking Prevention: A Scoping Review.Asian Pacific journal of cancer prevention : APJCP · 2026Article
- 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 · 2026Article
- Intention to use smartphone medical applications among patients with chronic disease in southwest Ethiopia: an extended UTAUT2 model approach.BMC medical informatics and decision making · 2026Article
- How weak AI promotes exercise in China: evidence from CLDS2018.BMC public health · 2026Article
- Sleep, Health Care-Seeking Behaviors, and Perceptions Associated With the Use of Sleep Wearables in Canada: Results From a Nationally Representative Survey.Journal of medical Internet research · 2025Article
- Consumer Wearable Usage to Collect Health Data Among Adults Living in Germany: Nationwide Observational Survey Study.JMIR mHealth and uHealth · 2025Observational
- Feasibility of Wearable Digital Healthcare Devices Among Korean Male Seafarers: A Pilot Study.Healthcare (Basel, Switzerland) · 2025Article
- Promoting Digital Health Data Literacy: The Datum Project.JMIR formative research · 2025Article
- The impact of confidentiality and privacy concerns on behavioral intention to adopt electronic personal health records among chronic patients in southwest Ethiopia in 2023: an application of the UTAUT2 model.Frontiers in digital health · 2025Article
- Factors Related to mHealth App Use Among Japanese Workers: Cross-Sectional Survey.JMIR human factors · 2024Article
- Article
- Exploring the Experiences of Community-Dwelling Older Adults on Using Wearable Monitoring Devices With Regular Support From Community Health Workers, Nurses, and Social Workers: Qualitative Descriptive Study.Journal of medical Internet research · 2024Article
- Person-Generated Health Data in Women's Health: Scoping Review.Journal of medical Internet research · 2024Article
- Factors influencing smartwatch use and comfort with health data sharing: a sequential mixed-method study protocol.BMJ open · 2024Article
- Understanding Adolescents' Experiences With Menstrual Pain to Inform the User-Centered Design of a Mindfulness-Based App: Mixed Methods Investigation Study.JMIR pediatrics and parenting · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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