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识别影响尼泊尔青年采用数字健康工具行为意向的因素。

Identifying factors shaping the behavioural intention of Nepalese youths to adopt digital health tools.

作者信息

Timsina Sujal Mani, Bhattarai Ujjwal

机构信息

Ace Institute of Management Pokhara University Kathmandu Nepal.

School of Management Kathmandu University Kathmandu Nepal.

出版信息

Healthc Technol Lett. 2025 Feb 7;12(1):e70005. doi: 10.1049/htl2.70005. eCollection 2025 Jan-Dec.

DOI:10.1049/htl2.70005
PMID:39927092
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11803138/
Abstract

The digitalization of healthcare has gained global importance, especially post-COVID-19, yet remains a challenge in developing countries due to the slow adoption of digital health tools. This study aims to identify major predictors impacting the behavioural intention of Nepalese youths to adopt digital health tools by utilizing the framework based on the extended unified theory of acceptance and use of technology (UTAUT-2). The cross-sectional data from 280 respondents was collected from youths (i.e., aged 16-40) in the Kathmandu Valley and were analyzed through PLS-SEM. Most of the respondents were using smartwatches followed by blood pressure monitors and pulse oximeters. The findings revealed hedonic motivation as the strongest predictor of behavioural intention to use digital health tools followed by facilitating conditions, social influence, habit, and performance expectancy. The behavioural intention significantly influenced actual usage behaviour. Additionally, behavioural intention mediated the relationship between the above-mentioned five constructs and usage behaviour, except for effort expectancy and price value. The study emphasizes the role of major predictors such as facilitating conditions in shaping the intention of youths to adopt digital health tools providing insights for government, hospitals, and developers to understand consumer perceptions and motivations.

摘要

医疗保健数字化已在全球范围内变得至关重要,尤其是在新冠疫情之后,但由于数字健康工具采用缓慢,在发展中国家仍是一项挑战。本研究旨在利用基于扩展的技术接受与使用统一理论(UTAUT-2)的框架,确定影响尼泊尔年轻人采用数字健康工具行为意向的主要预测因素。从加德满都谷地的年轻人(即16至40岁)中收集了280名受访者的横截面数据,并通过PLS-SEM进行分析。大多数受访者使用智能手表,其次是血压监测仪和脉搏血氧仪。研究结果显示,享乐动机是使用数字健康工具行为意向的最强预测因素,其次是便利条件、社会影响、习惯和绩效期望。行为意向显著影响实际使用行为。此外,行为意向介导了上述五个构念与使用行为之间的关系,但努力期望和价格价值除外。该研究强调了便利条件等主要预测因素在塑造年轻人采用数字健康工具意向方面的作用,为政府、医院和开发者了解消费者认知和动机提供了见解。

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本文引用的文献

1
Investigating older adults users' willingness to adopt wearable devices by integrating the technology acceptance model (UTAUT2) and the Technology Readiness Index theory.通过整合技术接受模型(UTAUT2)和技术准备指数理论,研究老年用户采用可穿戴设备的意愿。
Front Public Health. 2024 Sep 25;12:1449594. doi: 10.3389/fpubh.2024.1449594. eCollection 2024.
2
Understanding the factors of wearable devices among the patients with thyroid cancer: A modified UTAUT2 model.理解甲状腺癌患者对可穿戴设备使用因素:修正的UTAUT2 模型。
PLoS One. 2024 Jul 26;19(7):e0305944. doi: 10.1371/journal.pone.0305944. eCollection 2024.
3
The evolution of digital health and its continuing challenges.
数字健康的发展及其持续面临的挑战。
BMC Digit Health. 2023;1(1):3. doi: 10.1186/s44247-022-00004-x. Epub 2023 Jan 24.
4
Emergency Preparedness and Modish Practices among Primary Healthcare Delivery Systems Facilitated through Public-private Partnership Models in a South Indian Metropolitan City: A Descriptive Cross-sectional Study.通过公私伙伴关系模式促进印度南部大都市初级卫生保健服务系统中的应急准备和现代实践:一项描述性横断面研究。
Int J Clin Pediatr Dent. 2022 Mar-Apr;15(2):153-158. doi: 10.5005/jp-journals-10005-2353.
5
Challenges and opportunities for implementing digital health interventions in Nepal: A rapid review.尼泊尔实施数字健康干预措施面临的挑战与机遇:快速综述
Front Digit Health. 2022 Aug 25;4:861019. doi: 10.3389/fdgth.2022.861019. eCollection 2022.
6
Modeling the Intention and Adoption of Wearable Fitness Devices: A Study Using SEM-PLS Analysis.建模可穿戴健身设备的使用意愿和采用:基于 SEM-PLS 分析的研究。
Front Public Health. 2022 Jul 6;10:918989. doi: 10.3389/fpubh.2022.918989. eCollection 2022.
7
Attitude and self-care practice on hypertension among antihypertensive medication users in a tertiary care hospital Nepal.尼泊尔一家三级护理医院中抗高血压药物使用者对高血压的态度和自我护理实践
SAGE Open Med. 2021 Aug 18;9:20503121211040707. doi: 10.1177/20503121211040707. eCollection 2021.
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J Anesth. 2021 Oct;35(5):671-709. doi: 10.1007/s00540-021-02967-z. Epub 2021 Aug 2.
9
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Malays Fam Physician. 2021 Jan 31;16(1):8-14. doi: 10.51866/rv1097. eCollection 2021 Mar 25.
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Interact J Med Res. 2020 Sep 18;9(3):e19776. doi: 10.2196/19776.