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Factors Influencing Web-Based Survey Response for a Longitudinal Cohort of Young Women Born Between 1989 and 1995
BACKGROUND: With health research practices shifting toward rapid recruitment of samples through the use of online approaches, little is known about the impact of these recruitment methods on continued participation in cohort studies. OBJECTIVE: This study aimed to report on the retention of a cohort...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6452283/ https://www.ncbi.nlm.nih.gov/pubmed/30907739 http://dx.doi.org/10.2196/11286 |
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author | Loxton, Deborah Harris, Melissa L Forder, Peta Powers, Jennifer Townsend, Natalie Byles, Julie Mishra, Gita |
author_facet | Loxton, Deborah Harris, Melissa L Forder, Peta Powers, Jennifer Townsend, Natalie Byles, Julie Mishra, Gita |
author_sort | Loxton, Deborah |
collection | PubMed |
description | BACKGROUND: With health research practices shifting toward rapid recruitment of samples through the use of online approaches, little is known about the impact of these recruitment methods on continued participation in cohort studies. OBJECTIVE: This study aimed to report on the retention of a cohort of young women who were recruited using an open recruitment strategy. METHODS: Women from the 1989-95 cohort of the Australian Longitudinal Study on Women’s Health, recruited in 2012 and 2013 were followed up annually via Web-based surveys in 2014, 2015, and 2016. Prevalence ratios for survey response were calculated using log-binomial models with generalized estimating equations including demographic, health-related, and recruitment method characteristics examined as explanatory factors. RESULTS: Of the 17,012 women who completed the baseline survey (Survey 1) in 2012 to 2013, approximately two-thirds completed Survey 2 (2014), and just over half completed Surveys 3 (2015) and 4 (2016). Women demonstrated transient patterns of responding with 38.21% (6501/17,012) of women completing all 4 surveys. Although retention of young women was associated with older age, higher education, higher self-rated health status, and low engagement with adverse health behaviors, the method of recruitment was a key determinant of study participation in the multivariate model. Although women were more likely to be recruited into the cohort via social media (eg, Facebook), retention over time was higher for women recruited through traditional media and referral approaches. CONCLUSIONS: A balance must be obtained between achieving representativeness, achieving rapid cohort recruitment, and mitigating the pitfalls of attrition based on recruitment method in the new era of cohort studies, where traditional recruitment methods are no longer exclusively viable options. |
format | Online Article Text |
id | pubmed-6452283 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-64522832019-04-17 Factors Influencing Web-Based Survey Response for a Longitudinal Cohort of Young Women Born Between 1989 and 1995 Loxton, Deborah Harris, Melissa L Forder, Peta Powers, Jennifer Townsend, Natalie Byles, Julie Mishra, Gita J Med Internet Res Original Paper BACKGROUND: With health research practices shifting toward rapid recruitment of samples through the use of online approaches, little is known about the impact of these recruitment methods on continued participation in cohort studies. OBJECTIVE: This study aimed to report on the retention of a cohort of young women who were recruited using an open recruitment strategy. METHODS: Women from the 1989-95 cohort of the Australian Longitudinal Study on Women’s Health, recruited in 2012 and 2013 were followed up annually via Web-based surveys in 2014, 2015, and 2016. Prevalence ratios for survey response were calculated using log-binomial models with generalized estimating equations including demographic, health-related, and recruitment method characteristics examined as explanatory factors. RESULTS: Of the 17,012 women who completed the baseline survey (Survey 1) in 2012 to 2013, approximately two-thirds completed Survey 2 (2014), and just over half completed Surveys 3 (2015) and 4 (2016). Women demonstrated transient patterns of responding with 38.21% (6501/17,012) of women completing all 4 surveys. Although retention of young women was associated with older age, higher education, higher self-rated health status, and low engagement with adverse health behaviors, the method of recruitment was a key determinant of study participation in the multivariate model. Although women were more likely to be recruited into the cohort via social media (eg, Facebook), retention over time was higher for women recruited through traditional media and referral approaches. CONCLUSIONS: A balance must be obtained between achieving representativeness, achieving rapid cohort recruitment, and mitigating the pitfalls of attrition based on recruitment method in the new era of cohort studies, where traditional recruitment methods are no longer exclusively viable options. JMIR Publications 2019-03-25 /pmc/articles/PMC6452283/ /pubmed/30907739 http://dx.doi.org/10.2196/11286 Text en ©Deborah Loxton, Melissa L Harris, Peta Forder, Jennifer Powers, Natalie Townsend, Julie Byles, Gita Mishra. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 25.03.2019. 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 the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Loxton, Deborah Harris, Melissa L Forder, Peta Powers, Jennifer Townsend, Natalie Byles, Julie Mishra, Gita Factors Influencing Web-Based Survey Response for a Longitudinal Cohort of Young Women Born Between 1989 and 1995 |
title | Factors Influencing Web-Based Survey Response for a Longitudinal Cohort of Young Women Born Between 1989 and 1995 |
title_full | Factors Influencing Web-Based Survey Response for a Longitudinal Cohort of Young Women Born Between 1989 and 1995 |
title_fullStr | Factors Influencing Web-Based Survey Response for a Longitudinal Cohort of Young Women Born Between 1989 and 1995 |
title_full_unstemmed | Factors Influencing Web-Based Survey Response for a Longitudinal Cohort of Young Women Born Between 1989 and 1995 |
title_short | Factors Influencing Web-Based Survey Response for a Longitudinal Cohort of Young Women Born Between 1989 and 1995 |
title_sort | factors influencing web-based survey response for a longitudinal cohort of young women born between 1989 and 1995 |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6452283/ https://www.ncbi.nlm.nih.gov/pubmed/30907739 http://dx.doi.org/10.2196/11286 |
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