ArticlePloS one2024
Understanding the factors of wearable devices among the patients with thyroid cancer: A modified UTAUT2 model.
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Effects of Performance and Effort Expectancy on AI-Generated Information Adoption Among Chinese Nursing Professionals: Survey-Based SEM Analysis.Journal of advanced nursing · 2026Article
- Flexible bioelectronic sensors promote the advancement of wearable ultrasound technology in the medicine.Microsystems & nanoengineering · 2026Review
- Healthcare consumers' acceptance and use of digital health technology in LMICs and the role of self-efficacy and facilitating conditions: a systematic review and meta-analysis.The Lancet regional health. Western Pacific · 2026Article
- Bridging UTAUT and HBM: determinants of wearable device adoption among chronic disease patients.Frontiers in public health · 2025Article
- Identifying factors shaping the behavioural intention of Nepalese youths to adopt digital health tools.Healthcare technology lettersArticle
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Authors and funding
5 authors.
Funding
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Abstract
Wearable devices hold promising prospects on a global scale, including in China. Thyroid cancer prevalence is notably high in China.This purpose of this researchwas to provide an updated theoretical model for assessing Chinese thyroid cancer patients' intentions towards wearable devices, based on the UTAUT2 framework, and to ascertain the factors that have an impact on these intents. A cross-sectional study with an institutional focus wasconducted from January 20, 2023, to June 30, 2023, at several general hospitals in China. Five hundred participants were recruited to identify predictors of wearable device use.The questionnaire survey about patients' intentionswas collected using a face-to-face method, employing a random sampling technique for patient selection. Four hundred sixty-nine individuals (93.8%) had the intention to use wearable devices. The intentions were highly impacted by performance expectancy (PE), effort expectancy (EE), social influence (SI), hedonic motivation (HM), price value (PV) and habit (HA). Usage intention (UI)was a statistically predictor of Usage behavior (UB). The facilitating condition(FC) was not significant. Gender positively moderated the relationship between EE and UI. Income positively moderated the relationship between all variables and UI.Overall, the utilization of wearable devices among patients diagnosed with thyroid cancer has demonstrated considerable potential. This study offers a series of suggestions for digital health developers,healthcare decision-makers,doctors and patients.
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