Participant Recruitment and Engagement in Automated eHealth Trial Registration: Challenges and Opportunities for Recruiting Women Who Experience Violence.

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dc.contributor.author Koziol-McLain, Jane
dc.contributor.author McLean, Christine
dc.contributor.author Rohan, Maheswaran
dc.contributor.author Sisk, Rose
dc.contributor.author Dobbs, Terry
dc.contributor.author Nada-Raja, Shyamala
dc.contributor.author Wilson, Denise
dc.contributor.author Vandal, Alain C
dc.coverage.spatial Canada
dc.date.accessioned 2023-07-20T04:05:14Z
dc.date.available 2023-07-20T04:05:14Z
dc.date.issued 2016-10
dc.identifier.citation (2016). Journal of Medical Internet Research, 18(10), e281-.
dc.identifier.issn 1439-4456
dc.identifier.uri https://hdl.handle.net/2292/64943
dc.description.abstract <h4>Background</h4>Automated eHealth Web-based research trials offer people an accessible, confidential opportunity to engage in research that matters to them. eHealth trials may be particularly useful for sensitive issues when seeking health care may be accompanied by shame and mistrust. Yet little is known about people's early engagement with eHealth trials, from recruitment to preintervention autoregistration processes. A recent randomized controlled trial that tested the effectiveness of an eHealth safety decision aid for New Zealand women in the general population who experienced intimate partner violence (isafe) provided the opportunity to examine recruitment and preintervention participant engagement with a fully automated Web-based registration process. The trial aimed to recruit 340 women within 24 months.<h4>Objective</h4>The objective of our study was to examine participant preintervention engagement and recruitment efficiency for the isafe trial, and to analyze dropout through the registration pathway, from recruitment to eligibility screening and consent, to completion of baseline measures.<h4>Methods</h4>In this case study, data collection sources included the trial recruitment log, Google Analytics reports, registration and program metadata, and costs. Analysis included a qualitative narrative of the recruitment experience and descriptive statistics of preintervention participant engagement and dropout rates. A Koyck model investigated the relationship between Web-based online marketing website advertisements (ads) and participant accrual.<h4>Results</h4>The isafe trial was launched on September 17, 2012. Placement of ads in an online classified advertising platform increased the average number of recruited participants per month from 2 to 25. Over the 23-month recruitment period, the registration website recorded 4176 unique visitors. Among 1003 women meeting eligibility criteria, 51.55% (517) consented to participate; among the 501 women who enrolled (consented, validated, and randomized), 412 (82.2%) were accrued (completed baseline assessments). The majority (n=52, 58%) of the 89 women who dropped out between enrollment and accrual never logged in to the allocated isafe website. Of every 4 accrued women, 3 (314/412, 76.2%) identified the classified ad as their referral source, followed by friends and family (52/412, 12.6%). Women recruited through a friend or relative were more likely to self-identify as indigenous Māori and live in the highest-deprivation areas. Ads increased the accrual rate by a factor of 74 (95% CI 49-112).<h4>Conclusions</h4>Print advertisements, website links, and networking were costly and inefficient methods for recruiting participants to a Web-based eHealth trial. Researchers are advised to limit their recruitment efforts to Web-based online marketplace and classified advertising platforms, as in the isafe case, or to social media. Online classified advertising in "Jobs-Other-volunteers" successfully recruited a diverse sample of women experiencing intimate partner violence. Preintervention recruitment data provide critical information to inform future research and critical analysis of Web-based eHealth trials.<h4>Clinicaltrial</h4>Australian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12612000708853; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12612000708853 (Archived by WebCite at http://www.webcitation/6lMGuVXdK).
dc.format.medium Electronic
dc.language eng
dc.publisher JMIR Publications
dc.relation.ispartofseries Journal of medical Internet research
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher.
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm
dc.rights.uri http://creativecommons.org/licenses/by/2.0/
dc.subject Humans
dc.subject Telemedicine
dc.subject Patient Selection
dc.subject Spouse Abuse
dc.subject Internet
dc.subject Adolescent
dc.subject Adult
dc.subject Aged
dc.subject Middle Aged
dc.subject Female
dc.subject Young Adult
dc.subject Web-based trials
dc.subject dropout
dc.subject eHealth
dc.subject intimate partner violence
dc.subject recruitment
dc.subject Clinical Research
dc.subject Clinical Trials and Supportive Activities
dc.subject 5 Gender Equality
dc.subject 3 Good Health and Well Being
dc.subject Science & Technology
dc.subject Life Sciences & Biomedicine
dc.subject Health Care Sciences & Services
dc.subject Medical Informatics
dc.subject SAFETY DECISION AID
dc.subject RANDOMIZED CONTROLLED-TRIAL
dc.subject HELP-SEEKING BEHAVIOR
dc.subject DOMESTIC VIOLENCE
dc.subject ABUSED WOMEN
dc.subject HEALTH
dc.subject DISCLOSURE
dc.subject STRENGTH
dc.subject BARRIERS
dc.subject 1117 Public Health and Health Services
dc.subject Clinical
dc.subject Public Health
dc.subject 08 Information and Computing Sciences
dc.subject 11 Medical and Health Sciences
dc.subject 17 Psychology and Cognitive Sciences
dc.title Participant Recruitment and Engagement in Automated eHealth Trial Registration: Challenges and Opportunities for Recruiting Women Who Experience Violence.
dc.type Journal Article
dc.identifier.doi 10.2196/jmir.6515
pubs.issue 10
pubs.begin-page e281
pubs.volume 18
dc.date.updated 2023-06-28T04:36:34Z
dc.rights.holder Copyright: The authors en
dc.identifier.pmid 27780796 (pubmed)
pubs.author-url https://www.ncbi.nlm.nih.gov/pubmed/27780796
pubs.publication-status Published
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.subtype research-article
pubs.subtype Randomized Controlled Trial
pubs.subtype Journal Article
pubs.elements-id 544812
pubs.org-id Science
pubs.org-id Statistics
dc.identifier.eissn 1438-8871
dc.identifier.pii v18i10e281
pubs.number ARTN e281
pubs.record-created-at-source-date 2023-06-28
pubs.online-publication-date 2016-10-25


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