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

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 d...

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Autores principales: Tiersma, Keenae, Reichman, Mira, Popok, Paula J, Nelson, Zoe, Barry, Maura, Elwy, A Rani, Flores, Efrén J, Irwin, Kelly E, Vranceanu, Ana-Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9034421/
https://www.ncbi.nlm.nih.gov/pubmed/35394441
http://dx.doi.org/10.2196/30055
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author Tiersma, Keenae
Reichman, Mira
Popok, Paula J
Nelson, Zoe
Barry, Maura
Elwy, A Rani
Flores, Efrén J
Irwin, Kelly E
Vranceanu, Ana-Maria
author_facet Tiersma, Keenae
Reichman, Mira
Popok, Paula J
Nelson, Zoe
Barry, Maura
Elwy, A Rani
Flores, Efrén J
Irwin, Kelly E
Vranceanu, Ana-Maria
author_sort Tiersma, Keenae
collection PubMed
description 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.
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spelling pubmed-90344212022-04-24 The Strategies for Quantitative and Qualitative Remote Data Collection: Lessons From the COVID-19 Pandemic Tiersma, Keenae Reichman, Mira Popok, Paula J Nelson, Zoe Barry, Maura Elwy, A Rani Flores, Efrén J Irwin, Kelly E Vranceanu, Ana-Maria JMIR Form Res Viewpoint 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. JMIR Publications 2022-04-08 /pmc/articles/PMC9034421/ /pubmed/35394441 http://dx.doi.org/10.2196/30055 Text en ©Keenae Tiersma, Mira Reichman, Paula J Popok, Zoe Nelson, Maura Barry, A Rani Elwy, Efrén J Flores, Kelly E Irwin, Ana-Maria Vranceanu. Originally published in JMIR Formative Research (https://formative.jmir.org), 08.04.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.
spellingShingle Viewpoint
Tiersma, Keenae
Reichman, Mira
Popok, Paula J
Nelson, Zoe
Barry, Maura
Elwy, A Rani
Flores, Efrén J
Irwin, Kelly E
Vranceanu, Ana-Maria
The Strategies for Quantitative and Qualitative Remote Data Collection: Lessons From the COVID-19 Pandemic
title The Strategies for Quantitative and Qualitative Remote Data Collection: Lessons From the COVID-19 Pandemic
title_full The Strategies for Quantitative and Qualitative Remote Data Collection: Lessons From the COVID-19 Pandemic
title_fullStr The Strategies for Quantitative and Qualitative Remote Data Collection: Lessons From the COVID-19 Pandemic
title_full_unstemmed The Strategies for Quantitative and Qualitative Remote Data Collection: Lessons From the COVID-19 Pandemic
title_short The Strategies for Quantitative and Qualitative Remote Data Collection: Lessons From the COVID-19 Pandemic
title_sort strategies for quantitative and qualitative remote data collection: lessons from the covid-19 pandemic
topic Viewpoint
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9034421/
https://www.ncbi.nlm.nih.gov/pubmed/35394441
http://dx.doi.org/10.2196/30055
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