A Digital Health Initiative (COVIDsmart) for Remote Data Collection and Study of COVID-19’s Impact on the State of Virginia: Prospective Cohort Study

Author:

Schilling JoshORCID,Klein DaveORCID,Bartholmae Marilyn MORCID,Shokouhi SepidehORCID,Toepp Angela JORCID,Roess Amira AORCID,Sill Joshua MORCID,Karpov Matvey VORCID,Maney KathleenORCID,Brown K PearsonORCID,Levy Brian LORCID,Renshaw Keith DORCID,Dodani SunitaORCID,Jain PradumanORCID

Abstract

Background 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. Objective The aim is to describe the digital recruitment strategies and data collection tools applied in the COVIDsmart study and share the preliminary study results. Methods 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. Results 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). Conclusions 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.

Publisher

JMIR Publications Inc.

Subject

Health Informatics,Medicine (miscellaneous)

Reference32 articles.

1. Impact on mental health by “Living in Isolation and Quarantine” during COVID-19 pandemic

2. Prevalence of stress, anxiety, depression among the general population during the COVID-19 pandemic: a systematic review and meta-analysis

3. ConstantinoAKWHO says omicron variant could change the course of the Covid pandemicCNBC20212022-11-08https://www.cnbc.com/2021/12/08/who-says-omicron-covid-variant-could-change-the-course-of-the-pandemic.html

4. Effectiveness of Covid-19 Vaccines in Ambulatory and Inpatient Care Settings

5. COVID-19 Vaccines WorkCenters for Disease Control and Prevention2022-11-14https://www.cdc.gov/coronavirus/2019-ncov/vaccines/effectiveness/work.html

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