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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 M, 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

Factors influencing online survey response for a longitudinal cohort of young women born 1989-95

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

ABSTRACT

Background:

With health research practices shifting towards 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:

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 2012-13 were followed up annually via online surveys in 2014, 2015 and 2016. Prevalence ratios for survey response were calculated using log-binomial model with generalised estimating equations with demographic, health-related and recruitment method characteristics examined as explanatory factors.

Results:

Of the 17,012 women who completed the baseline survey, approximately two-thirds completed the second survey, and just over half completed surveys 3 and 4, respectively. Women demonstrated transient patterns of responding with only 38% of women completing all four surveys. While retention of young women was associated with age, education, health status and health behaviours, 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 (e.g. 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 M, 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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