574 Exploring the potential of a behaviour theory-informed digital intervention for infant fall prevention: mixed methods longitudinal study

<h3>Background</h3> Falls are the most commonly hospitalised injury mechanism of children aged &lt;1 year. Prevention of falls of children this age requires behaviour change in caregivers, and behaviour theory-informed digital intervention (DBCI) may be a novel, effective way of intervention. <h3>Objective</h3> This study aims to evaluate a DBCI developed following a user-centered approach for user experience, the potential for this intervention to prevent infant falls, and its impact on behavioural drivers underpinning fall risk in young children. <h3>Methods</h3> Parents (N=62) downloaded and used the app for 3 months and completed pre-and-post surveys. Knowledge/attitude scores relevant to ‘Potential for fall prevention’ were calculated at baseline and after the intervention, and change tested using paired-sample T tests. The association between behavioral constructs underpinning ‘potential to prevent falls’ scores, and app usage was examined using linear regression. In-depth post study interviews (N=10) were used to understand user experience. <h3>Results</h3> Improvements in parents’ “potential for fall prevention’ were observed after using the intervention (p &lt; .001). Better engagement with the app was positively correlated with parents’ potential to prevent falls (p = 0.015). Positive aspects of user experience centered on learning new knowledge, practical advice, task tracking and notifications. The primary area identified for further improvement was widening the scope of the intervention. <h3>Discussion and Conclusion</h3> This study demonstrates the potential of DBCIs for child injury prevention. The acceptability of the app was high, and important insights were gained from users about how to improve the app further.