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

作者信息

Paré Guy, Leaver Chad, Bourget Claire

机构信息

Research Chair in Digital Health, HEC Montreal, Montreal, QC, Canada.

Canada Health Infoway, Toronto, ON, Canada.

出版信息

J Med Internet Res. 2018 May 2;20(5):e177. doi: 10.2196/jmir.9388.


DOI:10.2196/jmir.9388
PMID:29720359
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5956159/
Abstract

BACKGROUND: With 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. OBJECTIVE: The 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. METHODS: We 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. RESULTS: Our 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. CONCLUSIONS: Our 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.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad70/5956159/bcde64ccfda1/jmir_v20i5e177_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad70/5956159/bcde64ccfda1/jmir_v20i5e177_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad70/5956159/bcde64ccfda1/jmir_v20i5e177_fig1.jpg

相似文献

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

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本文引用的文献

[1]
Effectiveness of mHealth interventions for patients with diabetes: An overview of systematic reviews.

PLoS One. 2017-3-1

[2]
Can Mobile Phone Apps Influence People's Health Behavior Change? An Evidence Review.

J Med Internet Res. 2016-10-31

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J Med Internet Res. 2015-8-19

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Effects of home telemonitoring interventions on patients with chronic heart failure: an overview of systematic reviews.

J Med Internet Res. 2015-3-12

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A primary care nurse-delivered walking intervention in older adults: PACE (pedometer accelerometer consultation evaluation)-Lift cluster randomised controlled trial.

PLoS Med. 2015-2-17

[10]
DietBet: A Web-Based Program that Uses Social Gaming and Financial Incentives to Promote Weight Loss.

JMIR Serious Games. 2014-2-7

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