Literature DB >> 22518045

A randomised controlled trial to compare opt-in and opt-out parental consent for childhood vaccine safety surveillance using data linkage.

Jesia G Berry1, Philip Ryan, Michael S Gold, Annette J Braunack-Mayer, Katherine M Duszynski.   

Abstract

INTRODUCTION: No consent for health and medical research is appropriate when the criteria for a waiver of consent are met, yet some ethics committees and data custodians still require informed consent.
METHODS: A single-blind parallel-group randomised controlled trial: 1129 families of children born at a South Australian hospital were sent information explaining data linkage of childhood immunisation and hospital records for vaccine safety surveillance with 4 weeks to opt in or opt out by reply form, telephone or email. A subsequent telephone interview gauged the intent of 1026 parents (91%) in relation to their actions and the sociodemographic differences between participants and non-participants in each arm.
RESULTS: The participation rate was 21% (n=120/564) in the opt-in arm and 96% (n=540/565) in the opt-out arm (χ(2) (1 df) = 567.7, p<0.001). Participants in the opt-in arm were more likely than non-participants to be older, married/de facto, university educated and of higher socioeconomic status. Participants in the opt-out arm were similar to non-participants, except men were more likely to opt out. Substantial proportions did not receive, understand or properly consider study invitations, and opting in or opting out behaviour was often at odds with parents' stated underlying intentions.
CONCLUSIONS: The opt-in approach resulted in low participation and a biased sample that would render any subsequent data linkage unfeasible, while the opt-out approach achieved high participation and a representative sample. The waiver of consent afforded under current privacy regulations for data linkage studies meeting all appropriate criteria should be granted by ethics committees, and supported by data custodians. TRIAL REGISTRATION NUMBER: Australian New Zealand Clinical Trials Registry ACTRN12610000332022.

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Year:  2012        PMID: 22518045     DOI: 10.1136/medethics-2011-100145

Source DB:  PubMed          Journal:  J Med Ethics        ISSN: 0306-6800            Impact factor:   2.903


  7 in total

1.  Different Approaches to requesting Consent for Routine data linkage in Neonatal follow-up (ACORN): protocol for a 2×2 factorial randomised trial.

Authors:  Jane E Harding; Aakash Bajirao Rajay; Jane Marie Alsweiler; Gavin Brown; Caroline Anne Crowther; Nike Franke; Greg Gamble; Christopher McKinlay; Barry Milne; Jenny Rogers; Trecia Wouldes
Journal:  BMJ Open       Date:  2022-07-13       Impact factor: 3.006

2.  Parental opinions regarding an opt-out consent process for inpatient pediatric prospective observational research in the US.

Authors:  Danielle M Fernandes; Allison P Roland; Marilyn C Morris
Journal:  Pragmat Obs Res       Date:  2017-01-19

3.  Opt-out policy and its improvements promote COVID-19 vaccinations.

Authors:  Xin Liu; Ning Zhao; Shu Li; Rui Zheng
Journal:  Soc Sci Med       Date:  2022-06-22       Impact factor: 5.379

4.  Randomized Quality Improvement Trial of Opting-In Versus Opting-Out to Increase Influenza Vaccination Rates during Pregnancy.

Authors:  Susan H Wootton; Sean C Blackwell; George Saade; Pamela D Berens; Maria Hutchinson; Charles E Green; Sujatha Sridhar; Kara M Elam; Jon E Tyson
Journal:  AJP Rep       Date:  2018-08-28

5.  Consent to data linkage in a large online epidemiological survey of 18-23 year old Australian women in 2012-13.

Authors:  Anna Graves; Deirdre McLaughlin; Janni Leung; Jennifer Powers
Journal:  BMC Med Res Methodol       Date:  2019-12-11       Impact factor: 4.615

6.  Sources of potential bias when combining routine data linkage and a national survey of secondary school-aged children: a record linkage study.

Authors:  Kelly Morgan; Nicholas Page; Rachel Brown; Sara Long; Gillian Hewitt; Marcos Del Pozo-Banos; Ann John; Simon Murphy; Graham Moore
Journal:  BMC Med Res Methodol       Date:  2020-07-02       Impact factor: 4.612

7.  A novel metadata management model to capture consent for record linkage in longitudinal research studies.

Authors:  Christiana McMahon; Spiros Denaxas
Journal:  Inform Health Soc Care       Date:  2017-11-06       Impact factor: 2.439

  7 in total

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