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Accepted for/Published in: JMIR Formative Research

Date Submitted: Feb 24, 2022
Date Accepted: Jan 9, 2023
Date Submitted to PubMed: Feb 16, 2023

The final, peer-reviewed published version of this preprint can be found here:

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

Schilling J, Klein D, Bartholmae MM, Shokouhi S, Toepp AJ, Roess AA, Sill JM, Karpov MV, Maney K, Brown KP, Levy BL, Renshaw KD, Dodani S, Jain P

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

JMIR Form Res 2023;7:e37550

DOI: 10.2196/37550

PMID: 36795656

PMCID: 10018797

COVIDsmart: A Digital Health Initiative for Remote Data Collection and Study of COVID’s Impact on the State of Virginia

  • Josh Schilling; 
  • Dave Klein; 
  • Marilyn M Bartholmae; 
  • Sepideh Shokouhi; 
  • Angela J Toepp; 
  • Amira A Roess; 
  • Joshua M Sill; 
  • Matvey V Karpov; 
  • Kathleen Maney; 
  • K Pearson Brown; 
  • Brian L Levy; 
  • Keith D Renshaw; 
  • Sunita Dodani; 
  • Praduman Jain

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. In addition, COVID-induced economic setbacks have 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. Here we describe how digital tools were used to capture the effects of the pandemic on the overall wellbeing of diverse communities across large geographical areas within the state of Virginia.

Objective:

The objective of this paper is to describe the digital recruitment strategies and data collection tools applied in the COVIDsmart study and share preliminary study results.

Methods:

COVIDsmart conducted digital recruitment, eConsent, and survey collection through a HIPAA compliant digital health platform. This is alternative to traditional in-person recruitment and onboarding method used for studies. Participants in Virginia were actively recruited over three months utilizing 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/work functioning, social/family functioning, and economic impact. Data were collected using validated questionnaires or surveys reviewed by an expert panel that were completed in a cyclical fashion. To retain high level of engagement throughout the study, participants were incentivized to stay enrolled and complete more surveys to further their chances of receiving monthly gift card drawing and/or one of multiple grand prizes.

Results:

Virtual recruitment demonstrated relatively high rates of interest in Virginia (N=3,737), and 782 have consented to participate in the study (21.1%). The most successful recruitment technique was the effective use of newsletters/emails (41.4%). The primary reason for contributing as a study participant was advancing research (79.9%), followed by the need to give back to their community (64.8%). Incentives only reported as a reason among 21% of the consented participants. Overall, the primary reason for contributing as a study participant was attributed to altruism at 88.6%.

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 across multi-disciplinary groups led to the development of effective digital recruitment, enrollment, and data collection strategies to evaluate the pandemic effects on a large, diverse population. These findings may inform effective recruitment techniques across diverse communities and participants' interest in remote digital health studies.


 Citation

Please cite as:

Schilling J, Klein D, Bartholmae MM, Shokouhi S, Toepp AJ, Roess AA, Sill JM, Karpov MV, Maney K, Brown KP, Levy BL, Renshaw KD, Dodani S, Jain P

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

JMIR Form Res 2023;7:e37550

DOI: 10.2196/37550

PMID: 36795656

PMCID: 10018797

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© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.

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