Aldridge Robert W, Burns Rachel, Kirkby Victoria, Elsay Nadia, Murray Elizabeth, Perski Olga, Navaratnam Annalan M, Williamson Elizabeth J, Nieto-Martínez Ramfis, Miranda J Jaime, Hugenholtz Greg C G
UCL Public Health Data Science Research Group, Institute of Health Informatics, University College London, London, Camden, NW1 2DA, UK.
Primary Care & Population Health, Institute of Epidemiology & Health Care, University College London, London, NW3 2PF, UK.
Wellcome Open Res. 2020 Nov 11;5:268. doi: 10.12688/wellcomeopenres.16348.1. eCollection 2020.
: We have a limited understanding of the broader determinants of health of international migrants and how these change over time since migration to the United Kingdom (UK). To address this knowledge gap, we aim to conduct a prospective cohort study with data acquisition via a smartphone application (app). In this pilot study, we aim to 1) determine the feasibility of the use of an app for data collection in international migrants, 2) optimise app engagement by quantifying the impact of specific design features on the completion rates of survey questionnaires and on study retention, 3) gather preliminary profile health status data, to begin to examine how risk factors for health are distributed among migrants. : We will recruit 275 participants through a social media campaign and through third sector organisations that work with or support migrants in the UK. Following consent and registration, data will be collected via surveys. To optimise app engagement and study retention, we will quantify the impact of specific design features (i.e. the frequency of survey requests, the time of day for app notifications, the frequency of notifications, and the wording of notifications) via micro-randomised process evaluations. The primary outcome for this study is survey completion rates with numerator as the number of surveys completed and denominator as the total number of available surveys. Secondary outcomes are study retention rates and ratings of interest after app usage. : We have obtained approval to use consented patient identifiable data from the University College London Ethics Committee. Improving engagement with the app and gathering preliminary health profile data will help us identify accessibility and usability issues and other barriers to app and study engagement prior to moving to a larger study.
我们对国际移民健康的更广泛决定因素以及自移民到英国后这些因素如何随时间变化的了解有限。为了填补这一知识空白,我们旨在通过智能手机应用程序(app)进行前瞻性队列研究并采集数据。在这项试点研究中,我们旨在:1)确定使用该应用程序收集国际移民数据的可行性;2)通过量化特定设计特征对调查问卷完成率和研究留存率的影响来优化应用程序的参与度;3)收集初步的健康状况数据,以开始研究健康风险因素在移民中的分布情况。
我们将通过社交媒体活动以及与英国移民合作或为其提供支持的第三部门组织招募275名参与者。获得同意并完成注册后,将通过调查收集数据。为了优化应用程序的参与度和研究留存率,我们将通过微观随机过程评估来量化特定设计特征(即调查请求的频率、应用程序通知的时间、通知的频率以及通知的措辞)的影响。本研究的主要结果是调查完成率,分子为完成的调查数量,分母为可用调查的总数。次要结果是研究留存率以及应用程序使用后的兴趣评分。
我们已获得伦敦大学学院伦理委员会的批准,可以使用已同意的可识别患者数据。在开展更大规模研究之前,提高对该应用程序的参与度并收集初步的健康状况数据将有助于我们识别可及性和可用性问题以及其他应用程序和研究参与方面的障碍。