Strategies to record and use ethnicity information in routine health data.

Routen, Ash; Akbari, Ashley; Banerjee, Amitava; Katikireddi, Srinivasa Vittal; Mathur, Rohini; McKee, Martin; Nafilyan, Vahe; Khunti, Kamlesh

Routen, Ash; Akbari, Ashley; Banerjee, Amitava; Katikireddi, Srinivasa Vittal; Mathur, Rohini; McKee, Martin; Nafilyan, Vahe; Khunti, Kamlesh.

Routen A; Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, UK.
Akbari A; Population Data Science, Swansea University Medical School, Swansea University, Swansea, UK.
Banerjee A; Faculty of Population Health Sciences, Institute of Health Informatics, University College London, London, UK.
Katikireddi SV; MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK.
Mathur R; London School of Hygiene and Tropical Medicine, Faculty of Epidemiology and Population Health, London, UK.
McKee M; London School of Hygiene and Tropical Medicine, Faculty of Public Health & Policy, London, UK.
Nafilyan V; Office for National Statistics, Government Buildings, Newport, UK.
Khunti K; Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, UK. kk22@leicester.ac.uk.

Nat Med ; 28(7): 1338-1342, 2022 07.

Article in English | MEDLINE | ID: covidwho-1972635

Subject(s)

Ethnicity; Humans

Fulltext

XML

PubMed Links

Search on Google

Full text: Available Collection: International databases Database: MEDLINE Main subject: Ethnicity Type of study: Randomized controlled trials Limits: Humans Language: English Journal: Nat Med Journal subject: Molecular Biology / Medicine Year: 2022 Document Type: Article Affiliation country: S41591-022-01842-y

Similar

MEDLINE

LILACS

LIS

Fulltext

XML

PubMed Links

Search on Google