Clinical Effectiveness Group
@qmul-ceg.bsky.social
Clinical Effectiveness Group at Queen Mary University of London. We use data to improve population health in north east London and beyond.
In chapter nine, our team foreground children’s voices from school food environments in Bradford and Tower Hamlets, arguing that research and policy can benefit immensely from children and young people’s perspectives and experiences around free school meals. Now available via @uclpress.bsky.social
September 24, 2025 at 12:03 PM
In chapter nine, our team foreground children’s voices from school food environments in Bradford and Tower Hamlets, arguing that research and policy can benefit immensely from children and young people’s perspectives and experiences around free school meals. Now available via @uclpress.bsky.social
Our team will train a cohort of GPs in health data science, research methods, and the clinical effectiveness approach, to develop them into future leaders in primary care across North East London. We can't wait to get started! Find out more and apply: qmul-jobs.tal.net/vx/mobile-0/... 2/2
Academic GP Advanced Fellow - QMUL Jobs
ID: 4562. Title: Academic GP Advanced Fellow . Application Deadline:
qmul-jobs.tal.net
April 29, 2025 at 9:36 AM
Our team will train a cohort of GPs in health data science, research methods, and the clinical effectiveness approach, to develop them into future leaders in primary care across North East London. We can't wait to get started! Find out more and apply: qmul-jobs.tal.net/vx/mobile-0/... 2/2
We found households in NE London were 5x more likely to be overcrowded if they included children. This was more marked if the property was privately rented rather than owner occupied, and if residents were from a South Asian or Black ethnic group. Full analysis in IJPDS: doi.org/10.23889/ijp... 3/3
Inequalities in household overcrowding in an ethnically diverse urban population: a cross-sectional study using linked health and housing records
| International Journal of Population Data S...
doi.org
January 23, 2025 at 3:09 PM
We found households in NE London were 5x more likely to be overcrowded if they included children. This was more marked if the property was privately rented rather than owner occupied, and if residents were from a South Asian or Black ethnic group. Full analysis in IJPDS: doi.org/10.23889/ijp... 3/3
Our team used encrypted Unique Property Reference Numbers to group anonymised health record data into ‘households’, then linked this info to property data to determine overcrowding. Read more on our methods here: www.qmul.ac.uk/ceg/research... With thanks to funders Barts Charity & ADR UK. 2/3
Household units of analysis - Clinical Effectiveness Group FacebookTwitter XInstagramYouTubeLinkedInTikTok
www.qmul.ac.uk
January 23, 2025 at 3:09 PM
Our team used encrypted Unique Property Reference Numbers to group anonymised health record data into ‘households’, then linked this info to property data to determine overcrowding. Read more on our methods here: www.qmul.ac.uk/ceg/research... With thanks to funders Barts Charity & ADR UK. 2/3