Shi Lu, Fiscella Nicole, Leung Willie
Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA.
Department of Exercise Science, Lebanon Valley College, Annville, PA, USA.
Disabil Rehabil Assist Technol. 2025 May;20(4):1117-1122. doi: 10.1080/17483107.2024.2436128. Epub 2024 Dec 3.
The study aims to examine the association between disability status and willingness to share wearable devices and mobile apps data for public health research using the 2017 Behavioral risk Factor Surveillance System (BRFSS) through secondary data analysis. Current wearable device and mobile apps users at the time of the 2017 BRFSS survey administration from eight states were included in the analysis. Descriptive, chi-square analysis, and multivariable logistic regressions were performed to examine the associations. Subsample analyses were also conducted for individuals with disabilities and different types of disability, including visual impairments, hearing impairments, cognitive disability, independent living disability, self-care disability, and mobility disability on their willingness to share wearable device and mobile app data. Among the 1575 wearable device and mobile app users, 17.8% (95% CI [14.6, 22.0]) were participants with disabilities. Less than half of the participants (43.8%, 95% CI [38.0, 50.0]) were willing to share their data for public health research with no significant differences between those with and without disabilities or among specific disability types. The findings underscore a general reluctance to share information for public health research. To address this reluctance, it is crucial to enhance public awareness of the potential benefits and educate users on how sharing data could contribute to understanding health behaviors and identifying public health needs.
该研究旨在通过二次数据分析，利用2017年行为风险因素监测系统（BRFSS），检验残疾状况与为公共卫生研究分享可穿戴设备和移动应用程序数据的意愿之间的关联。分析纳入了2017年BRFSS调查管理时来自八个州的当前可穿戴设备和移动应用程序用户。进行了描述性分析、卡方分析和多变量逻辑回归以检验关联。还对残疾个体和不同类型的残疾进行了子样本分析，包括视力障碍、听力障碍、认知残疾、独立生活残疾、自我护理残疾和行动残疾，以了解他们分享可穿戴设备和移动应用程序数据的意愿。在1575名可穿戴设备和移动应用程序用户中，17.8%（95%置信区间[14.6, 22.0]）是残疾参与者。不到一半的参与者（43.8%，95%置信区间[38.0, 50.0]）愿意为公共卫生研究分享他们的数据，残疾参与者和非残疾参与者之间或特定残疾类型之间没有显著差异。研究结果强调了普遍不愿意为公共卫生研究分享信息的情况。为了解决这种不情愿，提高公众对潜在益处的认识并教育用户了解分享数据如何有助于理解健康行为和确定公共卫生需求至关重要。
