Attitude to Health clinical trials

Testing New Ways to Name Antimicrobial Resistance

This study aims to investigate the public's views on antibiotics and the impact of different ways to name the potential consequences of antibiotics not working in the future. It is known that current ways to name this don't resonate well with the public, and the study team have worked with members of the public through focus groups and community workshops to develop new ways of describing this in a process of co-design. This study aims to test four different ways of presenting this potential crisis to the public, some of which are new communication strategies designed by the public themselves, to evaluate which are the most memorable and investigate the impact on behaviour change. Adults aged over 18, living in the United Kingdom, who have already signed up to a market panel research company will be eligible to participate in this study. Participants will be invited to complete a short online survey (this should take around five minutes), advertised to them by the market research panel they have already signed up to. This survey is completely anonymous, and contains some multiple-choice questions, and some that require a short free text response. At the start of the survey one of the four ways to name AMR will be presented to participants in the form of a poster. This study aims to result in an improved understanding regarding the general public's understanding of antibiotic use and investigate the impact of communication on behaviour change. The data from this study may be used to inform future public health campaigns on this topic and improve the use of antibiotics. This study will be conducted online using the Predictiv platform, an online platform built by the Behavioural Insights Team. The study is being run in collaboration between the Behavioural Insights Team and the Institute of Global Health Innovation at Imperial College London. Is it anticipated that the survey will open in April 2024 and be open until recruitment of 4000 participants is complete. This is expected to take 4-6 weeks.