Behavioural barriers to COVID-19 testing in Australia: Two national surveys to identify barriers and estimate prevalence by health literacy level
| Field | Value | Language |
| dc.contributor.author | Bonner, Carissa | en |
| dc.contributor.author | Batcup, Carys | en |
| dc.contributor.author | Ayre, Julie | en |
| dc.contributor.author | Pickles, Kristen | en |
| dc.contributor.author | Cvejic, Erin | en |
| dc.contributor.author | Copp, Tessa | en |
| dc.contributor.author | Cornell, Samuel | en |
| dc.contributor.author | Dodd, Rachael | en |
| dc.contributor.author | Isautier, Jennifer | en |
| dc.contributor.author | Nickel, Brooke | en |
| dc.contributor.author | McCaffery, Kirsten | en |
| dc.date.accessioned | 2021-09-16T22:00:41Z | |
| dc.date.available | 2021-09-16T22:00:41Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | https://hdl.handle.net/2123/26126 | |
| dc.description.abstract | ABSTRACT 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.iso | en | en |
| dc.rights | Other | en |
| dc.subject | COVID-19 | en |
| dc.subject | Coronavirus | en |
| dc.title | Behavioural barriers to COVID-19 testing in Australia: Two national surveys to identify barriers and estimate prevalence by health literacy level | en |
| dc.type | Preprint | en |
| dc.subject.asrc | 1117 Public Health and Health Services | en |
| dc.subject.asrc | 11 Medical and Health Sciences | en |
| dc.identifier.doi | 10.1101/2021.08.26.21262649 | |
| dc.relation.other | National Health and Medical Research Council; National Heart Foundation of Australia | en |
| usyd.faculty | Faculty of Science, School of Life and Environmental Sciences | en |
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