Schilling Josh, Klein Dave, Bartholmae Marilyn M, Shokouhi Sepideh, Toepp Angela J, Roess Amira A, Sill Joshua M, Karpov Matvey V, Maney Kathleen, Brown K Pearson, Levy Brian L, Renshaw Keith D, Dodani Sunita, Jain Praduman
Vibrent Health, Fairfax, VA, United States.
Department of Psychiatry and Behavioral Health, Eastern Virginia Medical School, Norfolk, VA, United States.
JMIR Form Res. 2023 Mar 15;7:e37550. doi: 10.2196/37550.
The COVID-19 pandemic has affected people's lives beyond severe and long-term physical health symptoms. Social distancing and quarantine have led to adverse mental health outcomes. COVID-19-induced economic setbacks have also likely exacerbated the psychological distress affecting broader aspects of physical and mental well-being. Remote digital health studies can provide information about the pandemic's socioeconomic, mental, and physical impact. COVIDsmart was a collaborative effort to deploy a complex digital health research study to understand the impact of the pandemic on diverse populations. We describe how digital tools were used to capture the effects of the pandemic on the overall well-being of diverse communities across large geographical areas within the state of Virginia.
The aim is to describe the digital recruitment strategies and data collection tools applied in the COVIDsmart study and share the preliminary study results.
COVIDsmart conducted digital recruitment, e-Consent, and survey collection through a Health Insurance Portability and Accountability Act-compliant digital health platform. This is an alternative to the traditional in-person recruitment and onboarding method used for studies. Participants in Virginia were actively recruited over 3 months using widespread digital marketing strategies. Six months of data were collected remotely on participant demographics, COVID-19 clinical parameters, health perceptions, mental and physical health, resilience, vaccination status, education or work functioning, social or family functioning, and economic impact. Data were collected using validated questionnaires or surveys, completed in a cyclical fashion and reviewed by an expert panel. To retain a high level of engagement throughout the study, participants were incentivized to stay enrolled and complete more surveys to further their chances of receiving a monthly gift card and one of multiple grand prizes.
Virtual recruitment demonstrated relatively high rates of interest in Virginia (N=3737), and 782 (21.1%) consented to participate in the study. The most successful recruitment technique was the effective use of newsletters or emails (n=326, 41.7%). The primary reason for contributing as a study participant was advancing research (n=625, 79.9%), followed by the need to give back to their community (n=507, 64.8%). Incentives were only reported as a reason among 21% (n=164) of the consented participants. Overall, the primary reason for contributing as a study participant was attributed to altruism at 88.6% (n=693).
The COVID-19 pandemic has accelerated the need for digital transformation in research. COVIDsmart is a statewide prospective cohort to study the impact of COVID-19 on Virginians' social, physical, and mental health. The study design, project management, and collaborative efforts led to the development of effective digital recruitment, enrollment, and data collection strategies to evaluate the pandemic's effects on a large, diverse population. These findings may inform effective recruitment techniques across diverse communities and participants' interest in remote digital health studies.
新冠疫情对人们生活的影响不仅限于严重且长期的身体健康症状。社交距离和隔离措施已导致不良心理健康后果。新冠疫情引发的经济挫折也可能加剧了影响身心健康更广泛层面的心理困扰。远程数字健康研究能够提供有关疫情的社会经济、心理和身体影响的信息。“新冠智能研究”(COVIDsmart)是一项合作开展的复杂数字健康研究,旨在了解疫情对不同人群的影响。我们描述了如何使用数字工具来捕捉疫情对弗吉尼亚州广大地理区域内不同社区整体福祉的影响。
旨在描述“新冠智能研究”中应用的数字招募策略和数据收集工具,并分享初步研究结果。
“新冠智能研究”通过一个符合《健康保险流通与责任法案》(Health Insurance Portability and Accountability Act)的数字健康平台进行数字招募、电子同意和调查收集。这是用于研究的传统面对面招募和入职方法的替代方式。使用广泛的数字营销策略在3个月内积极招募弗吉尼亚州的参与者。通过远程收集了6个月关于参与者人口统计学、新冠临床参数、健康认知、身心健康、恢复力、疫苗接种状况、教育或工作功能、社交或家庭功能以及经济影响的数据。数据通过经过验证的问卷或调查收集,以循环方式完成并由专家小组审查。为了在整个研究过程中保持较高的参与度,激励参与者继续参与并完成更多调查,以增加他们获得月度礼品卡和多个大奖之一的机会。
虚拟招募在弗吉尼亚州显示出相对较高的兴趣率(N = 3737),782人(21.1%)同意参与研究。最成功的招募技术是有效使用时事通讯或电子邮件(n = 326,41.7%)。作为研究参与者做出贡献的主要原因是推动研究(n = 625,79.9%),其次是回馈社区的需求(n = 507,64.8%)。只有21%(n = 164)的同意参与者将激励措施作为参与原因。总体而言,作为研究参与者做出贡献的主要原因归因于利他主义的占88.6%(n = 693)。
新冠疫情加速了研究中数字转型的需求。“新冠智能研究”是一项全州范围的前瞻性队列研究,旨在研究新冠疫情对弗吉尼亚人社会、身体和心理健康的影响。该研究设计、项目管理和合作努力促成了有效的数字招募、入组和数据收集策略的制定,以评估疫情对大量不同人群的影响。这些发现可能为不同社区的有效招募技术以及参与者对远程数字健康研究的兴趣提供参考。