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Recruiting and retaining community-based participants in a COVID-19 longitudinal cohort and social networks study: lessons from Victoria, Australia

BACKGROUND: Longitudinal studies are critical to informing evolving responses to COVID-19 but can be hampered by attrition bias, which undermines their reliability for guiding policy and practice. We describe recruitment and retention in the Optimise Study, a longitudinal cohort and social networks...

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Autores principales: Nguyen, Thi, Thomas, Alexander J., Kerr, Phoebe, Stewart, Ashleigh C., Wilkinson, Anna Lee, Nguyen, Long, Altermatt, Aimée, Young, Kathryn, Heath, Katherine, Bowring, Anna, Fletcher-Lartey, Stephanie, Lusher, Dean, Hill, Sophie, Pedrana, Alisa, Stoové, Mark, Gibney, Katherine, Hellard, Margaret
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9969937/
https://www.ncbi.nlm.nih.gov/pubmed/36849927
http://dx.doi.org/10.1186/s12874-023-01874-z
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author Nguyen, Thi
Thomas, Alexander J.
Kerr, Phoebe
Stewart, Ashleigh C.
Wilkinson, Anna Lee
Nguyen, Long
Altermatt, Aimée
Young, Kathryn
Heath, Katherine
Bowring, Anna
Fletcher-Lartey, Stephanie
Lusher, Dean
Hill, Sophie
Pedrana, Alisa
Stoové, Mark
Gibney, Katherine
Hellard, Margaret
author_facet Nguyen, Thi
Thomas, Alexander J.
Kerr, Phoebe
Stewart, Ashleigh C.
Wilkinson, Anna Lee
Nguyen, Long
Altermatt, Aimée
Young, Kathryn
Heath, Katherine
Bowring, Anna
Fletcher-Lartey, Stephanie
Lusher, Dean
Hill, Sophie
Pedrana, Alisa
Stoové, Mark
Gibney, Katherine
Hellard, Margaret
author_sort Nguyen, Thi
collection PubMed
description BACKGROUND: Longitudinal studies are critical to informing evolving responses to COVID-19 but can be hampered by attrition bias, which undermines their reliability for guiding policy and practice. We describe recruitment and retention in the Optimise Study, a longitudinal cohort and social networks study that aimed to inform public health and policy responses to COVID-19. METHODS: Optimise recruited adults residing in Victoria, Australia September 01 2020–September 30 2021. High-frequency follow-up data collection included nominating social networks for study participation and completing a follow-up survey and four follow-up diaries each month, plus additional surveys if they tested positive for COVID-19 or were a close contact. This study compared number recruited to a-priori targets as of September 302,021, retention as of December 31 2021, comparing participants retained and not retained, and follow-up survey and diary completion October 2020–December 2021. Retained participants completed a follow-up survey or diary in each of the final three-months of their follow-up time. Attrition was defined by the number of participants not retained, divided by the number who completed a baseline survey by September 302,021. Survey completion was calculated as the proportion of follow-up surveys or diaries sent to participants that were completed between October 2020–December 2021. RESULTS: At September 302,021, 663 participants were recruited and at December 312,021, 563 were retained giving an overall attrition of 15% (n = 100/663). Among the 563 retained, survey completion was 90% (n = 19,354/21,524) for follow-up diaries and 89% (n = 4936/5560) for monthly follow-up surveys. Compared to participants not retained, those retained were older (t-test, p <  0.001), and more likely to be female (χ(2), p = 0.001), and tertiary educated (χ(2), p = 0.018). CONCLUSION: High levels of study retention and survey completion demonstrate a willingness to participate in a complex, longitudinal cohort study with high participant burden during a global pandemic. We believe comprehensive follow-up strategies, frequent dissemination of study findings to participants, and unique data collection systems have contributed to high levels of study retention. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-023-01874-z.
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spelling pubmed-99699372023-02-28 Recruiting and retaining community-based participants in a COVID-19 longitudinal cohort and social networks study: lessons from Victoria, Australia Nguyen, Thi Thomas, Alexander J. Kerr, Phoebe Stewart, Ashleigh C. Wilkinson, Anna Lee Nguyen, Long Altermatt, Aimée Young, Kathryn Heath, Katherine Bowring, Anna Fletcher-Lartey, Stephanie Lusher, Dean Hill, Sophie Pedrana, Alisa Stoové, Mark Gibney, Katherine Hellard, Margaret BMC Med Res Methodol Research BACKGROUND: Longitudinal studies are critical to informing evolving responses to COVID-19 but can be hampered by attrition bias, which undermines their reliability for guiding policy and practice. We describe recruitment and retention in the Optimise Study, a longitudinal cohort and social networks study that aimed to inform public health and policy responses to COVID-19. METHODS: Optimise recruited adults residing in Victoria, Australia September 01 2020–September 30 2021. High-frequency follow-up data collection included nominating social networks for study participation and completing a follow-up survey and four follow-up diaries each month, plus additional surveys if they tested positive for COVID-19 or were a close contact. This study compared number recruited to a-priori targets as of September 302,021, retention as of December 31 2021, comparing participants retained and not retained, and follow-up survey and diary completion October 2020–December 2021. Retained participants completed a follow-up survey or diary in each of the final three-months of their follow-up time. Attrition was defined by the number of participants not retained, divided by the number who completed a baseline survey by September 302,021. Survey completion was calculated as the proportion of follow-up surveys or diaries sent to participants that were completed between October 2020–December 2021. RESULTS: At September 302,021, 663 participants were recruited and at December 312,021, 563 were retained giving an overall attrition of 15% (n = 100/663). Among the 563 retained, survey completion was 90% (n = 19,354/21,524) for follow-up diaries and 89% (n = 4936/5560) for monthly follow-up surveys. Compared to participants not retained, those retained were older (t-test, p <  0.001), and more likely to be female (χ(2), p = 0.001), and tertiary educated (χ(2), p = 0.018). CONCLUSION: High levels of study retention and survey completion demonstrate a willingness to participate in a complex, longitudinal cohort study with high participant burden during a global pandemic. We believe comprehensive follow-up strategies, frequent dissemination of study findings to participants, and unique data collection systems have contributed to high levels of study retention. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-023-01874-z. BioMed Central 2023-02-27 /pmc/articles/PMC9969937/ /pubmed/36849927 http://dx.doi.org/10.1186/s12874-023-01874-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Nguyen, Thi
Thomas, Alexander J.
Kerr, Phoebe
Stewart, Ashleigh C.
Wilkinson, Anna Lee
Nguyen, Long
Altermatt, Aimée
Young, Kathryn
Heath, Katherine
Bowring, Anna
Fletcher-Lartey, Stephanie
Lusher, Dean
Hill, Sophie
Pedrana, Alisa
Stoové, Mark
Gibney, Katherine
Hellard, Margaret
Recruiting and retaining community-based participants in a COVID-19 longitudinal cohort and social networks study: lessons from Victoria, Australia
title Recruiting and retaining community-based participants in a COVID-19 longitudinal cohort and social networks study: lessons from Victoria, Australia
title_full Recruiting and retaining community-based participants in a COVID-19 longitudinal cohort and social networks study: lessons from Victoria, Australia
title_fullStr Recruiting and retaining community-based participants in a COVID-19 longitudinal cohort and social networks study: lessons from Victoria, Australia
title_full_unstemmed Recruiting and retaining community-based participants in a COVID-19 longitudinal cohort and social networks study: lessons from Victoria, Australia
title_short Recruiting and retaining community-based participants in a COVID-19 longitudinal cohort and social networks study: lessons from Victoria, Australia
title_sort recruiting and retaining community-based participants in a covid-19 longitudinal cohort and social networks study: lessons from victoria, australia
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9969937/
https://www.ncbi.nlm.nih.gov/pubmed/36849927
http://dx.doi.org/10.1186/s12874-023-01874-z
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