Identifying and visualising multimorbidity and comorbidity patterns in patients in the English National Health Service: a population-based study

2022174 citationsJournal Articlegold Open Access

Authors

Valerie Kuan · University College London

Spiros Denaxas · The Alan Turing Institute

Praveetha Patalay · MRC Unit for Lifelong Health and Ageing

Dorothea Nitsch · London School of Hygiene & Tropical Medicine

Rohini Mathur · London School of Hygiene & Tropical Medicine

Arturo González-Izquierdo · Health Data Research UK

Reecha Sofat

Abstract

UK Research and Innovation, Medical Research Council, National Institute for Health and Care Research, Department of Health and Social Care, Wellcome Trust, British Heart Foundation, and The Alan Turing Institute.

Topics & Keywords

Chronic Disease Management Strategies Medical Coding and Health Information Healthcare Systems and Technology

Publication Details

Published in: The Lancet Digital Health

Volume 5, Issue 1, pp. e16-e27

DOI: 10.1016/s2589-7500(22)00187-x

Field-Weighted Citation Impact: 25.73

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Identifying and visualising multimorbidity and comorbidity patterns in patients in the English National Health Service: a population-based study

Authors

Abstract

Topics & Keywords

Publication Details