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Evaluating recruitment strategies for AUSPICE, a large Australian community-based randomised controlled trial

dc.contributor.authorPeel, Roseanne
dc.contributor.authorRen, Shu
dc.contributor.authorHure, Alexis
dc.contributor.authorEvans, Tiffany-Jane
dc.contributor.authorD'Este, Catherine
dc.contributor.authorAbhayaratna, Walter
dc.contributor.authorTonkin, Andrew
dc.contributor.authorHopper, Ingrid
dc.contributor.authorThrift, Amanda
dc.contributor.authorLevi, Christopher
dc.contributor.authorSturm, Jonathan
dc.contributor.authorDurrheim, David N.
dc.date.accessioned2019-12-17T04:58:26Z
dc.date.available2019-12-17T04:58:26Z
dc.date.issued2019-03-25
dc.date.updated2019-07-28T08:21:07Z
dc.description.abstractObjectives To examine the effectiveness of different strategies for recruiting participants for a large Australian randomised controlled trial (RCT), the Australian Study for the Prevention through Immunisation of Cardiovascular Events (AUSPICE). Design, setting, participants Men and women aged 55–60 years with at least two cardiovascular risk factors (hypertension, hypercholesterolaemia, overweight/obesity) were recruited for a multicentre placebo‐controlled RCT assessing the effectiveness of 23‐valent pneumococcal polysaccharide vaccine (23vPPV) for preventing cardiovascular events. Methods Invitations were mailed by the Australian Department of Human Services to people in the Medicare database aged 55–60 years; reminders were sent 2 weeks later. Invitees could respond in hard copy or electronically. Direct recruitment was supplemented by asking invitees to extend the invitation to friends and family (snowball sampling) and by Facebook advertising. Main outcome Proportions of invitees completing screening questionnaire and recruited for participation in the RCT. Results 21 526 of 154 992 invited people (14%) responded by completing the screening questionnaire, of whom 4725 people were eligible and recruited for the study. Despite the minimal study burden (one questionnaire, one clinic visit), the overall participation rate was 3%, or an estimated 10% of eligible persons. Only 16% of eventual participants had responded within 2 weeks of the initial invitation letter (early responders); early and late responders did not differ in their demographic or medical characteristics. Socio‐economic disadvantage did not markedly influence response rates. Facebook advertising and snowball sampling did not increase recruitment. Conclusions Trial participation rates are low, and multiple concurrent methods are needed to maximise recruitment. Social media strategies may not be successful in older age groups.en_AU
dc.description.sponsorshipThe study was funded by a National Health and Medical Research Council (NHMRC) project grant (APP1062563). Ingrid Hopper and Philip Hansbro were supported by NHMRC fellowships.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn0025-729Xen_AU
dc.identifier.urihttp://hdl.handle.net/1885/195678
dc.language.isoen_AUen_AU
dc.provenancehttps://onlinelibrary.wiley.com/page/journal/13265377/homepage/overview..."MJA research articles are freely available online" (as at 17/12/19)en_AU
dc.publisherAustralasian Medical Associationen_AU
dc.relationhttp://purl.org/au-research/grants/nhmrc/1062563en_AU
dc.rights© 2019 AMPCo Pty Ltden_AU
dc.sourceMedical Journal of Australiaen_AU
dc.titleEvaluating recruitment strategies for AUSPICE, a large Australian community-based randomised controlled trialen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
dcterms.dateAccepted2019-01-24
local.bibliographicCitation.issue9en_AU
local.bibliographicCitation.lastpage415en_AU
local.bibliographicCitation.startpage409en_AU
local.contributor.affiliationPeel, Roseanne, University of Newcastleen_AU
local.contributor.affiliationRen, Shu, University of Newcastleen_AU
local.contributor.affiliationHure, Alexis, University of Newcastleen_AU
local.contributor.affiliationEvans, Tiffany-Jane, Hunter Medical Research Instituteen_AU
local.contributor.affiliationD'Este, Catherine, College of Health and Medicine, ANUen_AU
local.contributor.affiliationAbhayaratna, Walter, College of Health and Medicine, ANUen_AU
local.contributor.affiliationTonkin, Andrew, Monash Universityen_AU
local.contributor.affiliationHopper, Ingrid, Monash Universityen_AU
local.contributor.affiliationThrift, Amanda, Monash Universityen_AU
local.contributor.affiliationLevi, Christopher, University of Newcastleen_AU
local.contributor.affiliationSturm, Jonathan, The University of Newcastleen_AU
local.contributor.affiliationDurrheim, David N., University of Newcastleen_AU
local.contributor.authoruidD'Este, Catherine, u5460340en_AU
local.contributor.authoruidAbhayaratna, Walter, u3379649en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor111711 - Health Information Systems (incl. Surveillance)en_AU
local.identifier.absseo920204 - Evaluation of Health Outcomesen_AU
local.identifier.ariespublicationu5786633xPUB805en_AU
local.identifier.citationvolume210en_AU
local.identifier.doi10.5694/mja2.50117en_AU
local.identifier.scopusID2-s2.0-85063394750
local.type.statusPublished Versionen_AU

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