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

Keenae M. Tiersma, Mira Reichman, Paula Popok, Zoe Nelson, Maura Barry, A. Rani Elwy, Efrén J. Flores, Kelly Irwin, Ana‐Maria Vranceanu

2022JMIR Formative Research30 citationsDOIOpen Access PDF

Abstract

The COVID-19 pandemic has necessitated a rapid shift to web-based or blended design models for both ongoing and future clinical research activities. Research conducted virtually not only 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 discuss practical strategies for quantitative and qualitative remote research data collection based on previous 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.

Topics & Concepts

Data collectionCoronavirus disease 2019 (COVID-19)Pandemic2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Qualitative researchQualitative propertyData scienceComputer scienceMedicineSociologyVirologySocial scienceMachine learningInfectious disease (medical specialty)PathologyDiseaseOutbreakTelemedicine and Telehealth ImplementationMobile Health and mHealth ApplicationsCOVID-19 and healthcare impacts
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