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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
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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. |
format | Online Article Text |
id | pubmed-9034421 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
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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