Optimising COVID-19 testing intentions and behaviour with enhanced messaging dataset

University of Sydney

Dataset description

This dataset includes 1314 adults (equal groups above and below the age of 40 years, equal groups for male and female and equal groups for education). Participants were recruited from New South Wales, Australia into this randomised controlled trial to test the efficacy of providing health literacy-sensitive written information (ie, adapted for people with lower health literacy) for all capability and motivation barriers, where individuals could view information to plan for their top 3 barriers to COVID-19 testing. Anonymous quantitative data on outcomes for each group including the intention to undergo testing for COVID-19 if symptomatic, intentions about other prevention behaviours (self-isolation if symptomatic, social distancing of 1.5 m, washing hands regularly, and wearing masks in crowded indoor areas), understanding of messaging, risk perceptions, social stigma, and self-efficacy (ie, confidence in overcoming perceived barriers to testing) is included in this dataset. The file type is .XLS.
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Source Study

Trial acronym

Not available

Trial ID





Not Applicable


University,Marie Bashir Institute at the University of Sydney

Scientific enquiries

Dr Carissa Bonner

Brief Summary

COVID-19 response in Australia relies on people getting tested should they experience symptoms; however, national data indicate suboptimal uptake. This study aims to improve the uptake of COVID-19 testing by addressing peoples’ specific reasons for not getting tested. We will test the following research questions: (1) Can we improve understanding of government testing messages, by making the messages simpler? (2) Can we improve peoples’ intention to get tested by tailoring prevention information ....
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Key Inclusion Criteria

Live in Australia, aged 18 or over

Key Exclusion Criteria

Live outside Australia, aged under 18. Also quota sampling based on age, gender and education groups, so that these groups are nationally representative, so participants will be excluded from the study if quotas are filled for their age/gender/education category.

Can healthy volunteers participate?




Sample Size    1366

Min. age    18 Years

Max. age    No limit

Sex    Both males and females

Condition category    COVID-19

Condition code    Infection , Public Health , Respiratory


Intervention code Behaviour , Prevention

This study is testing the effects of two interventions (enhanced messaging and enhanced action planning), all conducted online through a survey platform. Participants will be recruited via Dynata, a market research company experienced in panel survey sampling with whom we have a strong track record of collaboration. Dynata has an extensive database of participants (over 600,000 Australian adults) who are willing to be involved in online research. Participants will be directed to the landing page ....
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Control group Active

Education intervention control: NSW Health COVID-19 FAQ COVID-19 testing information on Australian Government website (NSW Health COVID-19 FAQ: ). Questions include ‘Is it safe to get tested for COVID-19?’ ‘Is COVID-19 testing painful?’ ‘Is COVID-19 testing free?’ Action intervention control: Healthdirect Symptom Checker The federal government’s ‘Coronavirus (COVID-19) Symptom Checker’ available via the Hea ....
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Outcome: Intention to undergo COVID-19 testing if symptomatic – measured using a 7 point Likert scale strongly agree-strongly disagree for the question ‘Over the next 4 weeks, I plan to get tested if I have COVID-19 symptoms’. Specifically, we will investigate the effect of the intervention on the proportion of “strongly agree” responses.
Timepoint: This will be measured after the education intervention, and before the second round of randomisation, in the initial survey

Study Protocol: Study protocol
Data Dictionary: Not Available

Will individual participant data (IPD) for this trial be available?


What data in particular will be shared?

Anonymous quantitative data on outcomes for each group - individual participant data regarding the primary and secondary outcomes

When will data be available?


Available to whom?

Any researchers who wish to access the data

Available for what types of analyses?

quantitative analysis

Source study information is derived from the Australian New Zealand Clinical Trials Registry (ANZCTR). For more information on the ANZCTR, please see