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Behavioural barriers to COVID-19 testing in Australia: Two national surveys to identify barriers and estimate prevalence by health literacy level
Carissa Bonner; Carys Batcup; Julie Ayre; Kristen Pickles; Erin Cvejic; Tessa Copp; Samuel Cornell; Rachael Dodd; Jennifer Isautier; Brooke Nickel; Kirsten J McCaffery.
Afiliação
  • Carissa Bonner; The University of Sydney
  • Carys Batcup; The University of Sydney
  • Julie Ayre; The University of Sydney
  • Kristen Pickles; The University of Sydney
  • Erin Cvejic; The University of Sydney
  • Tessa Copp; The University of Sydney
  • Samuel Cornell; The University of Sydney
  • Rachael Dodd; The University Of Sydney
  • Jennifer Isautier; The University of Sydney
  • Brooke Nickel; The University of Sydney
  • Kirsten J McCaffery; The University of Sydney
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21262649
ABSTRACT
BackgroundCOVID-19 testing and contact tracing has been crucial in Australias 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. MethodsStudy 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. ResultsStudy 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. dont 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 test11% vs 4%). ConclusionEven 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.
Licença
cc_by_nc_nd
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2021 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2021 Tipo de documento: Preprint
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