ArticleJournal of healthcare informatics research2023
Factors and Design Features Influencing the Continued Use of Wearable Devices.
Article in Journal of healthcare informatics research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Usability and Technology Acceptance of a Wearable Monitoring System Among Patients with Cardiovascular Diseases: A Cross-Sectional Study.Medicina (Kaunas, Lithuania) · 2026Observational
- The Digital Competences of Exercise Therapists in Obesity Care: A Step Towards Digital Sovereignty Assessed with the DigCompThExO Questionnaire.Healthcare (Basel, Switzerland) · 2026Article
- Patterns and Characteristics of Mobile App Use to Promote Wellness and Manage Illness: Cross-Sectional Study.Journal of medical Internet research · 2026Article
- An innovative data mining-driven optimisation modelling approach based on TAM for the design of elderly-centric ICT products.Scientific reports · 2026Article
- Track more, drop less: dual dimensions of usefulness and configurational pathways to sport wearable usage intention for digital public health.Frontiers in public health · 2026Article
- The Impact of Perceived Usefulness of Wearable Devices on Treatment Adherence in Fracture Patients: The Chain Mediating Roles of Self-Efficacy and Meaning in Life.Patient preference and adherence · 2026Article
- An integrated cognitive load-technology acceptance model for explaining behavioral intention to adopt Smart Physical Education Systems for extracurricular physical activity.Frontiers in psychology · 2026Article
- Smart Healthcare at Home: A Review of AI-Enabled Wearables and Diagnostics Through the Lens of the Pi-CON Methodology.Sensors (Basel, Switzerland) · 2025Review
- Technical Functions of Digital Wearable Products (DWPs) in the Consumer Acceptance Model: A Systematic Review and Bibliometric Analysis with a Biomimetic Perspective.Biomimetics (Basel, Switzerland) · 2025Review
- Comparison of two portable metabolic systems for measuring energy expenditure at rest and during exercise in untrained women.Frontiers in physiology · 2025Article
- IoT-MT: Connected Care System For Elderly Anxiety Management Via Music Therapy.Healthcare technology lettersArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The initial healthy uptake of wearable devices is not necessarily accompanied by sustained or continued use. Accordingly, this study investigates the factors influencing the continuous use of wearable devices with a particular emphasis on design features. We complemented the expectation-confirmation model (ECM) theoretical foundation with various design features such as trust, readability, dialogue support, personalization, device battery, appeal, and social support. The study employs a simultaneous mixed method research design denoted as QUANT + qual. The quantitative analysis leverages partial least squares structural equation modeling (PLS-SEM) using survey data collected from wearable device users. The qualitative analysis complements the quantitative focus of the research by providing insights into the results obtained from the quantitative analysis. We found that subjects tend to use wearables daily (60%) or several times a week (33%), and 91% plan to use them even more. Subjects indicated multiple usages for wearables. Most subjects were using wearables for healthcare and wellness (61%) or sports and fitness (54%) and had smartwatches wearable type (74%). The model explains 24.1% (
Indexed as
Identifiers
What OpenQuestion holds
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.