Davidson, J, Warren-Gash, C, Gayle, A, Strongman, H, Nissen, F and LSHTM Electronic Health Record team. 2021. Clinical codelist - Asthma. [Online]. London School of Hygiene & Tropical Medicine, London, United Kingdom. Available from: https://doi.org/10.17037/DATA.00002397.
Davidson, J, Warren-Gash, C, Gayle, A, Strongman, H, Nissen, F and LSHTM Electronic Health Record team. Clinical codelist - Asthma [Internet]. London School of Hygiene & Tropical Medicine; 2021. Available from: https://doi.org/10.17037/DATA.00002397.
Davidson, J, Warren-Gash, C, Gayle, A, Strongman, H, Nissen, F and LSHTM Electronic Health Record team (2021). Clinical codelist - Asthma. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002397.
Description
Med codes to identify asthma in Aurum, read codes to identify asthma in GOLD, and ICD-10 codes for asthma.
Keywords
Data capture method | Observation |
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Date (Date submitted to LSHTM repository) | 21 May 2021 |
Language(s) of written materials | English |
Data Creators | Davidson, J, Warren-Gash, C, Gayle, A, Strongman, H, Nissen, F and LSHTM Electronic Health Record team |
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Associated roles | Carreira, H (Other) |
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 |
Funders |
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Date Deposited | 28 Jul 2021 14:24 |
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Last Modified | 24 Aug 2021 10:19 |
Publisher | London School of Hygiene & Tropical Medicine |
Downloads
Data / Code
Filename: cr_codelist_asthma_aurum.txt
Description: Medcodeid to identify asthma in Aurum
Content type: Dataset
File size: 9kB
Mime-Type: text/plain
Filename: cr_codelist_asthma_gold.txt
Description: Read codes to identify asthma in GOLD
Content type: Dataset
File size: 5kB
Mime-Type: text/plain
Filename: cr_codelist_asthma_hes.txt
Description: ICD-10 codes for asthma
Content type: Dataset
File size: 188B
Mime-Type: text/plain