Evidence map›Paper›PMID 30907739›Full record

ArticleJournal of medical Internet research2019

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

Abstract readHistorical Article
In one paragraph

Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Trial
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  3. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Deborah Loxton *Research Centre for Generational Health and Ageing, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia.ORCID 0000-0002-4745-8612
Melissa L Harris *Research Centre for Generational Health and Ageing, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia.ORCID 0000-0002-5733-9684
Peta ForderResearch Centre for Generational Health and Ageing, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia.ORCID 0000-0003-0591-471X
Jennifer PowersResearch Centre for Generational Health and Ageing, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia.ORCID 0000-0001-8434-3382
Natalie TownsendResearch Centre for Generational Health and Ageing, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia.ORCID 0000-0003-4506-9274
Julie BylesResearch Centre for Generational Health and Ageing, Faculty of Health and Medicine, University of Newcastle, Callaghan, Australia.ORCID 0000-0002-3984-6877
Gita MishraInstitute for Social Science Research, Faculty of Humanities and Social Sciences, The University of Queensland, Herston, Australia.ORCID 0000-0001-9610-5904

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith 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.

objectiveThis study aimed to report on the retention of a cohort of young women who were recruited using an open recruitment strategy.

methodsWomen 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.

resultsOf 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.

conclusionsA 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.

Indexed as

AdolescentAdultCohort StudiesFemaleHistory, 20th CenturyHumansLongitudinal StudiesSocial MediaSurveys and QuestionnairesWomen's HealthYoung Adultattritionretentionsocial mediaWeb-based surveywomen’s healthyoung adult

Identifiers

PMID30907739
PMCPMC6452283

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.