College of Medicine and Health, University College Cork, Cork, Ireland.
Primary Care and Public Health, Imperial College London, London, UK
BMJ Open. 2024 May 15;14(5):e081228. doi: 10.1136/bmjopen-2023-081228.
Smartwatches have become ubiquitous for tracking health metrics. These data sets hold substantial potential for enhancing healthcare and public health initiatives; it may be used to track chronic health conditions, detect previously undiagnosed health conditions and better understand public health trends. By first understanding the factors influencing one's continuous use of the device, it will be advantageous to assess factors that may influence a person's willingness to share their individual data sets. This study seeks to comprehensively understand the factors influencing the continued use of these devices and people's willingness to share the health data they generate.
A two-section online survey of smartwatch users over the age of 18 will be conducted (n ≥200). The first section, based on the expectation-confirmation model, will assess factors influencing continued use of smartwatches while the second section will assess willingness to share the health data generated from these devices. Survey data will be analysed descriptively and based on structural equation modelling.Subsequently, six focus groups will be conducted to further understand the issues raised in the survey. Each focus group (n=6) will consist of three smartwatch users: a general practitioner, a public health specialist and an IT specialist. Young smartwatch users (aged 18-44) will be included in three of the focus groups and middle-aged smartwatch users (aged 45-64) will be included in the other three groups. This is to enhance comparison of opinions based on age groups. Data from the focus groups will be analysed using the microinterlocutor approach and an executive summary.After the focus group, participants will complete a brief survey to indicate any changes in their opinions resulting from the discussion.
The results of this study will be disseminated through publication in a peer-reviewed journal, and all associated data will be deposited in a relevant, publicly accessible data repository to ensure transparency and facilitate future research endeavours.This study was approved by the Social Research Ethic Committee (SREC), University College Cork-SREC/SOM/21062023/2.
智能手表已广泛用于追踪健康指标。这些数据集具有很大的潜力,可以增强医疗保健和公共卫生计划;它可用于追踪慢性健康状况,发现以前未诊断出的健康状况,并更好地了解公共卫生趋势。通过首先了解影响人们持续使用该设备的因素,评估可能影响人们愿意分享个人数据集的因素将是有利的。本研究旨在全面了解影响这些设备持续使用的因素以及人们愿意共享其生成的健康数据的因素。
将对 18 岁以上的智能手表用户进行在线调查(n≥200),分两部分进行。第一部分基于期望确认模型,将评估影响智能手表持续使用的因素,第二部分将评估分享这些设备生成的健康数据的意愿。调查数据将进行描述性分析,并基于结构方程模型进行分析。随后,将进行六次焦点小组讨论,以进一步了解调查中提出的问题。每个焦点小组(n=6)将由三名智能手表用户组成:一名全科医生、一名公共卫生专家和一名 IT 专家。将包括三名年轻的智能手表用户(年龄在 18-44 岁之间)和三名中年智能手表用户(年龄在 45-64 岁之间)在三个焦点小组中,以增强基于年龄组的意见比较。焦点小组的数据将使用微观对话者方法进行分析,并提供一份执行摘要。在焦点小组讨论之后,参与者将完成一份简短的调查,以表明讨论是否改变了他们的意见。
本研究的结果将通过在同行评议期刊上发表来传播,并将所有相关数据存入相关的、公开可访问的数据存储库中,以确保透明度并促进未来的研究工作。这项研究已得到科克大学社会研究伦理委员会(SREC)的批准-SREC/SOM/21062023/2。