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Barriers to and Facilitators of Using a One Button Tracker and Web-Based Data Analytics Tool for Personal Science: Exploratory Study.

作者信息

van de Belt Tom H, de Croon Aimee, Freriks Faye, Blomseth Christiansen Thomas, Eg Larsen Jakob, de Groot Martijn

机构信息

Health Innovation Labs, Radboud University Medical Center, Nijmegen, Netherlands.

Konsulent Blomseth, Copenhagen, Denmark.

出版信息

JMIR Form Res. 2022 Mar 1;6(3):e32704. doi: 10.2196/32704.


DOI:10.2196/32704
PMID:35230247
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8924778/
Abstract

BACKGROUND: Individuals' self-tracking of subjectively experienced phenomena related to health can be challenging, as current options for instrumentation often involve too much effort in the moment or rely on retrospective self-reporting, which is likely to impair accuracy and compliance. OBJECTIVE: This study aims to assess the usability and perceived usefulness of low-effort, in-the-moment self-tracking using simple instrumentation and to establish the amount of support needed when using this approach. METHODS: In this exploratory study, the One Button Tracker-a press-button device that records time stamps and durations of button presses-was used for self-tracking. A total of 13 employees of an academic medical center chose a personal research question and used the One Button Tracker to actively track specific subjectively experienced phenomena for 2 to 4 weeks. To assess usability and usefulness, we combined qualitative data from semistructured interviews with quantitative results from the System Usability Scale. RESULTS: In total, 29 barriers and 15 facilitators for using the One Button Tracker were found. Ease of use was the most frequently mentioned facilitator. The One Button Tracker's usability received a median System Usability Scale score of 75.0 (IQR 42.50), which is considered as good usability. Participants experienced effects such as an increased awareness of the tracked phenomenon, a confirmation of personal knowledge, a gain of insight, and behavior change. Support and guidance during all stages of the self-tracking process were judged as valuable. CONCLUSIONS: The low-effort, in-the-moment self-tracking of subjectively experienced phenomena has been shown to support personal knowledge gain and health behavior change for people with an interest in health promotion. After addressing barriers and formally validating the collected data, self-tracking devices may well be helpful for additional user types or health questions.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/998a/8924778/bb74e0e440cf/formative_v6i3e32704_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/998a/8924778/9e0088e906ad/formative_v6i3e32704_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/998a/8924778/bb74e0e440cf/formative_v6i3e32704_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/998a/8924778/9e0088e906ad/formative_v6i3e32704_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/998a/8924778/bb74e0e440cf/formative_v6i3e32704_fig2.jpg

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本文引用的文献

[1]
Experiences With Wearable Activity Data During Self-Care by Chronic Heart Patients: Qualitative Study.

J Med Internet Res. 2020-7-20

[2]
The Feasibility of a Using a Smart Button Mobile Health System to Self-Track Medication Adherence and Deliver Tailored Short Message Service Text Message Feedback.

JMIR Form Res. 2019-6-25

[3]
Approaches to governance of participant-led research: a qualitative case study.

BMJ Open. 2019-4-2

[4]
Wearable activity trackers, accuracy, adoption, acceptance and health impact: A systematic literature review.

J Biomed Inform. 2019-3-23

[5]
Self-tracking of Physical Activity in People With Type 2 Diabetes: A Randomized Controlled Trial.

Comput Inform Nurs. 2018-7

[6]
Self-tracking for Mental Wellness: Understanding Expert Perspectives and Student Experiences.

Proc SIGCHI Conf Hum Factor Comput Syst. 2017-5-2

[7]
Key Components in eHealth Interventions Combining Self-Tracking and Persuasive eCoaching to Promote a Healthier Lifestyle: A Scoping Review.

J Med Internet Res. 2017-8-1

[8]
Design and Usability of a Heart Failure mHealth System: A Pilot Study.

JMIR Hum Factors. 2017-3-24

[9]
Understanding factors affecting patient and public engagement and recruitment to digital health interventions: a systematic review of qualitative studies.

BMC Med Inform Decis Mak. 2016-9-15

[10]
Refining the Concepts of Self-quantification Needed for Health Self-management. A Thematic Literature Review.

Methods Inf Med. 2017-1-9

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