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dc.contributor.authorBonner, Carissaen
dc.contributor.authorBatcup, Carysen
dc.contributor.authorAyre, Julieen
dc.contributor.authorPickles, Kristenen
dc.contributor.authorCvejic, Erinen
dc.contributor.authorCopp, Tessaen
dc.contributor.authorCornell, Samuelen
dc.contributor.authorDodd, Rachaelen
dc.contributor.authorIsautier, Jenniferen
dc.contributor.authorNickel, Brookeen
dc.contributor.authorMcCaffery, Kirstenen
dc.date.accessioned2021-09-16T22:00:41Z
dc.date.available2021-09-16T22:00:41Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/2123/26126
dc.description.abstractABSTRACT Background COVID-19 testing and contact tracing has been crucial in Australia's prevention strategy. However, testing for COVID-19 is far from optimal, and behavioural barriers are unknown. Study 1 aimed to identify the range of barriers to testing. Study 2 aimed to estimate prevalence in a nationally relevant sample to target interventions. Methods Study 1: National longitudinal COVID-19 survey from April-November 2020. Testing barriers were included in the June survey (n=1369). Open responses were coded using the COM-B framework (capability-opportunity-motivation). Study 2: Barriers from Study 1 were presented to a new nationally representative sample in November to estimate prevalence (n=2869). Barrier prevalence was analysed by health literacy level using Chi square tests. Results Study 1: 49% strongly agreed to get tested for symptoms, and 69% would self-isolate. Concern about pain was the top barrier from a provided list (11%), but 32 additional barriers were identified from open responses and coded to the COM-B framework. Study 2: The most prevalent barriers were motivation issues (e.g. don't believe symptoms are COVID-19: 28%, few local cases: 18%). Capability issues were also common (e.g. not sure symptoms are bad enough: 19%, not sure whether symptoms need testing: 15%). Many barriers were more prevalent amongst people with low compared to high health literacy, including motivation (preference to self isolate: 21% vs 12%, pain: 15% vs 9%) and capability (not sure symptom needs testing: 12% vs 8%, not sure how to test:11% vs 4%). Conclusion Even in a health system with free and widespread access to COVID-19 testing, motivation and capability barriers were prevalent issues, particularly for people with lower health literacy. This study highlights the important of diagnosing behaviour barriers to target public health interventions for COVID-19 and future pandemics.en
dc.language.isoenen
dc.rightsOtheren
dc.subjectCOVID-19en
dc.subjectCoronavirusen
dc.titleBehavioural barriers to COVID-19 testing in Australia: Two national surveys to identify barriers and estimate prevalence by health literacy levelen
dc.typePreprinten
dc.subject.asrc1117 Public Health and Health Servicesen
dc.subject.asrc11 Medical and Health Sciencesen
dc.identifier.doi10.1101/2021.08.26.21262649
dc.relation.otherNational Health and Medical Research Council; National Heart Foundation of Australiaen
usyd.facultyFaculty of Science, School of Life and Environmental Sciencesen


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