You are here

  • Home
  • Archive
  • Volume 8, Issue 6
  • Using electronic health records to quantify and stratify the severity of type 2 diabetes in primary care in England: rationale and cohort study design

Article info

Article menu

Download PDFPDF

Diabetes and endocrinology
Protocol
Using electronic health records to quantify and stratify the severity of type 2 diabetes in primary care in England: rationale and cohort study design

Authors

  • Salwa S Zghebi Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester, UK NIHR School for Primary Care Research, Centre for Primary Care, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester, UK PubMed articlesGoogle scholar articles
  • Martin K Rutter Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester, UK Manchester Diabetes Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre (MAHSC), Manchester, UK PubMed articlesGoogle scholar articles
  • Darren M Ashcroft Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester, UK PubMed articlesGoogle scholar articles
  • Chris Salisbury Centre for Academic Primary Care, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK PubMed articlesGoogle scholar articles
  • Christian Mallen Research Institute for Primary Care and Health Sciences, Keele University, Staffordshire, UK PubMed articlesGoogle scholar articles
  • Carolyn A Chew-Graham Research Institute for Primary Care and Health Sciences, Keele University, Staffordshire, UK PubMed articlesGoogle scholar articles
  • David Reeves Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester, UK PubMed articlesGoogle scholar articles
  • Harm van Marwijk Division of Primary Care and Public Health, Brighton and Sussex Medical School, University of Brighton, Brighton, UK PubMed articlesGoogle scholar articles
  • Nadeem Qureshi Division of Primary Care, School of Medicine, University of Nottingham, Nottingham, UK PubMed articlesGoogle scholar articles
  • Stephen Weng Division of Primary Care, School of Medicine, University of Nottingham, Nottingham, UK PubMed articlesGoogle scholar articles
  • Niels Peek Division of Informatics, Imaging & Data Sciences (L5), School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester, UK PubMed articlesGoogle scholar articles
  • Claire Planner Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester, UK PubMed articlesGoogle scholar articles
  • Magdalena Nowakowska Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester, UK NIHR School for Primary Care Research, Centre for Primary Care, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester, UK PubMed articlesGoogle scholar articles
  • Mamas Mamas Keele Cardiovascular Research group, Centre for Prognosis Research, Institute for Primary Care and Health Sciences, Keele University, Stoke-on-Trent, UK PubMed articlesGoogle scholar articles
  • Evangelos Kontopantelis Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester, UK NIHR School for Primary Care Research, Centre for Primary Care, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester, UK PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Salwa S Zghebi; salwa.zghebi{at}manchester.ac.uk
View Full Text

Citation

Zghebi SS, Rutter MK, Ashcroft DM, et al
Using electronic health records to quantify and stratify the severity of type 2 diabetes in primary care in England: rationale and cohort study design
BMJ Open 2018;8:e020926. doi: 10.1136/bmjopen-2017-020926

Publication history

  • Received December 1, 2017
  • Revised April 10, 2018
  • Accepted May 9, 2018
  • First published June 30, 2018.
Online issue publication 
June 30, 2018
Previous versions
Review history

Request permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.

Copyright information

© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an open access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/