Centre for Public Health, Queen's University Belfast, Belfast, UK.
Bristol Trials Centre, University of Bristol, Bristol, UK.
Transl Vis Sci Technol. 2024 Mar 1;13(3):2. doi: 10.1167/tvst.13.3.2.
To describe inequalities in the Monitoring for Neovascular Age-related Macular Degeneration Reactivation at Home (MONARCH) diagnostic test accuracy study for: recruitment; participants' ability to self-test; and adherence to testing using digital applications during follow-up.
Home-monitoring vision tests included two tests implemented as software applications (apps: MyVisionTrack and MultiBit) on an iPod Touch device. Patients were provided with all hardware required to participate (iPod and MIFI device) and trained to use the apps. Regression models estimated associations of age, sex, Index of Multiple Deprivation, strata of time since first diagnosis, and baseline visual acuity at study entry on outcomes of willingness to participate, ability to perform tests, and adherence to weekly testing.
A minority of patients who were approached were willing-in-principle to participate. Increasing age was associated with being unwilling-in-principle to participate. Patients from the most deprived areas had a 47% decrease in odds of being willing compared to those from the middle quintile deprived areas (odds ratio, 0.53; 95% confidence interval = 0.32, 0.88). Increasing age and worse deprivation were not consistently associated either with ability to self-monitor with the index tests, or adherence to weekly testing.
Associations of increasing age and worse deprivation index were associated with unwillingness-in-principle to participate despite the provision of hardware' highlighting the potential for inequality with interventions of the kind evaluated.
The clear evidence of inequalities in participation should prompt future research on ways to encourage adoption of mobile health technologies by underserved populations.
描述在家监测新生血管性年龄相关性黄斑变性再激活(MONARCH)诊断测试准确性研究中的不平等现象:招募;参与者自我检测的能力;以及在随访期间使用数字应用程序进行测试的依从性。
家庭监测视力测试包括两个在 iPod Touch 设备上实现的软件应用程序(应用程序:MyVisionTrack 和 MultiBit)。为患者提供了参与所需的所有硬件(iPod 和 MIFI 设备),并对其进行了应用程序使用培训。回归模型估计了年龄、性别、多重剥夺指数、首次诊断后时间的分层以及研究入组时的基线视力对参与意愿、测试执行能力和每周测试依从性的结果的关联。
少数被接触的患者原则上愿意参与。年龄的增加与原则上不愿意参与有关。与来自中间五分位数剥夺地区的患者相比,来自最贫困地区的患者参与的可能性降低了 47%(优势比,0.53;95%置信区间为 0.32,0.88)。年龄的增加和更严重的贫困与使用索引测试进行自我监测的能力或每周测试的依从性均没有一致的关联。
尽管提供了硬件,但与参与原则上不愿意参与的关联仍然与年龄的增加和贫困指数的恶化有关,这突出了这种评估的干预措施可能存在不平等。
叶剑