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Accepted for/Published in: JMIR Formative Research

Date Submitted: Apr 29, 2021
Date Accepted: Oct 24, 2021

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

The Strategies for Quantitative and Qualitative Remote Data Collection: Lessons From the COVID-19 Pandemic

Tiersma K, Reichman M, Popok PJ, Nelson Z, Barry M, Elwy AR, Flores EJ, Irwin KE, Vranceanu AM

The Strategies for Quantitative and Qualitative Remote Data Collection: Lessons From the COVID-19 Pandemic

JMIR Form Res 2022;6(4):e30055

DOI: 10.2196/30055

PMID: 35394441

PMCID: 9034421

Strategies for Quantitative and Qualitative Remote Data Collection: Lessons from the COVID-19 Pandemic

  • Keenae Tiersma; 
  • Mira Reichman; 
  • Paula J Popok; 
  • Zoe Nelson; 
  • Maura Barry; 
  • A Rani Elwy; 
  • Efrén J Flores; 
  • Kelly E Irwin; 
  • Ana-Maria Vranceanu

ABSTRACT

The COVID-19 pandemic has necessitated a rapid shift to virtual or blended design models for both ongoing and future clinical research activities. Research conducted virtually has the potential to increase the patient-centeredness of clinical research, but may also further widen existing disparities in research participation among underrepresented individuals. In this viewpoint, we present a toolkit of practical strategies for quantitative and qualitative remote research data collection based on prior literature and our own ongoing clinical research to overcome challenges presented by the shift to remote data collection. We aim to contribute to and catalyze the dissemination of best practices related to remote data collection methodologies to address the opportunities presented by this shift and develop strategies for inclusive research.


 Citation

Please cite as:

Tiersma K, Reichman M, Popok PJ, Nelson Z, Barry M, Elwy AR, Flores EJ, Irwin KE, Vranceanu AM

The Strategies for Quantitative and Qualitative Remote Data Collection: Lessons From the COVID-19 Pandemic

JMIR Form Res 2022;6(4):e30055

DOI: 10.2196/30055

PMID: 35394441

PMCID: 9034421

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