Alison O'Mara-Eves

TL;DR: It was unclear whether interventions prevented smoking relapse among women who had stopped smoking spontaneously in early pregnancy, but high-quality evidence suggests incentive-based interventions are effective when compared with an alternative (non-contingent incentive) intervention.

TL;DR: Using text mining to prioritise the order in which items are screened should be considered safe and ready for use in ‘live’ reviews, and the use of text mining as a ‘second screener’ may also be used cautiously.

TL;DR: A multimethod systematic review builds on the evidence that underpins the current UK guidance on community engagement to identify theoretical models underpinning community engagement and to explore mechanisms and contexts through which communities are engaged to identify community engagement approaches that are effective in reducing health inequalities.

TL;DR: There is solid evidence that community engagement interventions have a positive impact on a range of health outcomes across various conditions.

TL;DR: The Human Behaviour-Change Project will use Artificial Intelligence and Machine Learning to develop and evaluate a ‘Knowledge System’ that automatically extracts, synthesises and interprets findings from BCI evaluation reports to generate new insights about behaviour change and improve prediction of intervention effectiveness.