Optimising COVID-19 testing intentions and behaviour with enhanced messaging dataset
University of SydneyDataset 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.Identifiers
Source Study
Trial name (public)
Purpose:
Phase:
Trial acronym
Trial ID
ACTRN12620001355965
Funding
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 .... Read more
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?
Yes
Population
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
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 .... Read more
Comparison
Control group Active
Education intervention control: NSW Health COVID-19 FAQ COVID-19 testing information on Australian Government website (NSW Health COVID-19 FAQ: https://www.health.nsw.gov.au/Infectious/covid-19/Pages/frequently-asked-questions.aspx#4 ). 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 .... Read more
Outcomes
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
Will individual participant data (IPD) for this trial be available?
yes
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?
2021-2023
Available to whom?
Any researchers who wish to access the data
Available for what types of analyses?
quantitative analysis