Clinical Codelist - Diabetes - Read Codes
                
    
    Schonmann, Y; Mansfield, KE
; Smeeth, L
; Langan, S
 and Nitsch, D
  
  
(2019).
Clinical Codelist - Diabetes - Read Codes.
[Dataset].
London School of Hygiene & Tropical Medicine, London, United Kingdom.
    10.17037/DATA.00001210.
  
              
            
                  Read codes for diabetes, provisional diabetes type (dm_cat), included in the Quality Outcome Framework definition of diabetes (dm_qof)
                
Keywords
Diabetes; Read codes; Clinical code listParent Collection(s)
| Item Type | Dataset | 
|---|---|
| Resource Type | 
                                
                                     Resource Type Resource Description Dataset Quantitative  | 
                            
| Capture method | Observation | 
| Collection Period | 
                                
                                     From To 1 May 2019 31 May 2019  | 
                            
| Date | 1 July 2019 | 
| Language(s) of written materials | English | 
| Creator(s) | 
                                
                                    Schonmann, Y; Mansfield, KE | 
                            
| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Non-Communicable Disease Epidemiology | 
| Research Centre | Electronic Health Record Research Group | 
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom | 
| Date Deposited | 18 Jul 2019 15:53 | 
| Last Modified | 08 Jul 2021 12:49 | 
| Publisher | London School of Hygiene & Tropical Medicine | 
Data / Code
medcodes-diabetesdx.txt
      - 
            
subject  - Data
 - 
            
           - Available under Creative Commons: Attribution 3.0
 - 
              
info  - Read codes for diabetes
 code - text/x-pascal
 - folder_info
 - 44kB
 
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                    ORCID: https://orcid.org/0000-0002-2551-410X
        
      ORCID: https://orcid.org/0000-0002-9168-6022
        
      ORCID: https://orcid.org/0000-0002-7022-7441
        
      ORCID: https://orcid.org/0000-0001-5767-248X