BackgroundComputer-based decision support has been effective in providing alerts for preventive care. Our objective was to determine whether a personalized asthma management computer-based decision support increases the quality of asthma management and reduces the rate of out-of-control episodes.
+1Centre for Respiratory Medicine and Allergy, Institute of Inflammation and Repair, University of Manchester and University Hospital of South Manchester, Manchester, UK 2Centre for Health Informatics, Institute of Population Health, University of Manchester, Manchester, UK 3David Hide Asthma and Allergy Research Centre, St Mary's Hospital, Newport, Isle of Wight, UK 4Clinical and Experimental Sciences Academic Unit, University of Southampton Faculty of Medicine, Southampton, UK 5NIHR Respiratory Biomedical Research Unit, University Hospital Southampton NHS Foundation Trust, Southampton, UK 6Microsoft Research Cambridge, Cambridge, UK 7Imperial College, London, UK 8Child Health, University of Aberdeen, Aberdeen, UK 9School of Social and Community Medicine, University of Bristol, Bristol, UK 10Human Developmental and Health Academic Unit, University of Southampton Faculty of Medicine, Southampton, UK
Correspondence to Professor Adnan Custovic, University of Manchester, University Hospital of South Manchester, Manchester M23 9LT, UK;firstname.lastname@example.org
We created Asthma e-Lab, a secure web-based research environment to support consistent recording, description and sharing of data, computational/statistical methods and emerging findings across the five UK birth cohorts. The e-Lab serves as a data repository for our unified dataset and provides the computational resources and a scientific social network to support collaborative research.
There is a growing body of evidence attesting to links between early life exposure to stress and childhood asthma. However, available evidence is largely based on small, genetically high risk samples. The aim of this study was to explore the associations between the course of maternal depressive symptoms across early childhood and childhood asthma in a nationally representative longitudinal cohort study of Australian children.