Clinical Codelist - Diabetes Mellitus Diagnostic - Read Codes

Mansfield, KE, Schmidt, SAJ, Darvalics, B, Mulick, A, Abuabara, K, Wong, A, Sørensen, HT, Smeeth, L, Bhaskaran, K, Silva, I, Silverwood, R and Langan, S. 2019. Clinical Codelist - Diabetes Mellitus Diagnostic - Read Codes. [Online]. London School of Hygiene & Tropical Medicine, London, United Kingdom. Available from: https://doi.org/10.17037/DATA.00001280.

Mansfield, KE, Schmidt, SAJ, Darvalics, B, Mulick, A, Abuabara, K, Wong, A, Sørensen, HT, Smeeth, L, Bhaskaran, K, Silva, I, Silverwood, R and Langan, S. Clinical Codelist - Diabetes Mellitus Diagnostic - Read Codes [Internet]. London School of Hygiene & Tropical Medicine; 2019. Available from: https://doi.org/10.17037/DATA.00001280.

Mansfield, KE, Schmidt, SAJ, Darvalics, B, Mulick, A, Abuabara, K, Wong, A, Sørensen, HT, Smeeth, L, Bhaskaran, K, Silva, I, Silverwood, R and Langan, S (2019). Clinical Codelist - Diabetes Mellitus Diagnostic - Read Codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001280.

Description

Data capture method Observation
Data Collection Period
FromTo
1 July 201731 July 2017
Date (Date submitted to LSHTM repository) 1 July 2019
Language(s) of written materials English
Data Creators Mansfield, KE, Schmidt, SAJ, Darvalics, B, Mulick, A, Abuabara, K, Wong, A, Sørensen, HT, Smeeth, L, Bhaskaran, K, Silva, I, Silverwood, R and Langan, S
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
ProjectFunderGrant NumberFunder URI
UNSPECIFIEDWellcome TrustUNSPECIFIEDhttp://dx.doi.org/10.13039/100010269
Date Deposited 23 Jul 2019 13:38
Last Modified 08 Jul 2021 12:52
Publisher London School of Hygiene & Tropical Medicine

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Filename: readcodes-DM-exca.txt

Description: Read Codes - Diabetes Mellitus

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Content type: Dataset

File size: 43kB

Mime-Type: text/x-pascal

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