A
Alison O'Mara-Eves
Researcher at Institute of Education
Publications - 45
Citations - 2913
Alison O'Mara-Eves is an academic researcher from Institute of Education. The author has contributed to research in topics: Systematic review & Public health. The author has an hindex of 18, co-authored 45 publications receiving 2312 citations. Previous affiliations of Alison O'Mara-Eves include University College London.
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Journal ArticleDOI
Psychosocial interventions for supporting women to stop smoking in pregnancy
Catherine Chamberlain,Alison O'Mara-Eves,Jessie Porter,Tim Coleman,Susan Perlen,James Thomas,Joanne E. McKenzie +6 more
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.
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Using text mining for study identification in systematic reviews: a systematic review of current approaches
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.
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Community engagement to reduce inequalities in health: a systematic review, meta-analysis and economic analysis
Alison O'Mara-Eves,Ginny Brunton,David McDaid,Sandy Oliver,Josephine Kavanagh,Farah Jamal,Tihana Matosevic,Angela Harden,Angela Harden,James Thomas +9 more
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.
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The effectiveness of community engagement in public health interventions for disadvantaged groups: a meta-analysis.
Alison O'Mara-Eves,Ginny Brunton,Sandy Oliver,Jennifer M. Kavanagh,Farah Jamal,Jay C. Thomas +5 more
TL;DR: There is solid evidence that community engagement interventions have a positive impact on a range of health outcomes across various conditions.
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The Human Behaviour-Change Project: harnessing the power of artificial intelligence and machine learning for evidence synthesis and interpretation
Susan Michie,James Thomas,Marie Johnston,Pol Mac Aonghusa,John Shawe-Taylor,Michael Kelly,Léa A. Deleris,Ailbhe Finnerty,Marta M. Marques,Emma Norris,Alison O'Mara-Eves,Robert West +11 more
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.