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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Jun 13, 2018
Open Peer Review Period: Jun 16, 2018 - Aug 11, 2018
Date Accepted: Jan 3, 2019
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Factors Influencing Web-Based Survey Response for a Longitudinal Cohort of Young Women Born Between 1989 and 1995

Loxton D, Harris ML, Forder P, Powers J, Townsend N, Byles J, Mishra G

Factors Influencing Web-Based Survey Response for a Longitudinal Cohort of Young Women Born Between 1989 and 1995

J Med Internet Res 2019;21(3):e11286

DOI: 10.2196/11286

PMID: 30907739

PMCID: 6452283

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Factors Influencing Web-Based Survey Response for a Longitudinal Cohort of Young Women Born Between 1989 and 1995

  • Deborah Loxton; 
  • Melissa L Harris; 
  • Peta Forder; 
  • Jennifer Powers; 
  • Natalie Townsend; 
  • Julie Byles; 
  • Gita Mishra

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.


 Citation

Please cite as:

Loxton D, Harris ML, Forder P, Powers J, Townsend N, Byles J, Mishra G

Factors Influencing Web-Based Survey Response for a Longitudinal Cohort of Young Women Born Between 1989 and 1995

J Med Internet Res 2019;21(3):e11286

DOI: 10.2196/11286

PMID: 30907739

PMCID: 6452283

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