Chotirmall, SH, Rothnie, K, Müllerová, H, Hurst, JR, Smeeth, L, Davis, K, Thomas, SL and Quint, J. 2016. Validation of the Recording of Acute Exacerbations of COPD in UK Primary Care Electronic Healthcare Records. [Online]. PLOS One. Available from: https://doi.org/10.1371/journal.pone.0151357
Chotirmall, SH, Rothnie, K, Müllerová, H, Hurst, JR, Smeeth, L, Davis, K, Thomas, SL and Quint, J. Validation of the Recording of Acute Exacerbations of COPD in UK Primary Care Electronic Healthcare Records [Internet]. PLOS One; 2016. Available from: https://doi.org/10.1371/journal.pone.0151357
Chotirmall, SH, Rothnie, K, Müllerová, H, Hurst, JR, Smeeth, L, Davis, K, Thomas, SL and Quint, J (2016). Validation of the Recording of Acute Exacerbations of COPD in UK Primary Care Electronic Healthcare Records. [Data Collection]. PLOS One. https://doi.org/10.1371/journal.pone.0151357
Description
Acute Exacerbations of COPD (AECOPD) identified from electronic healthcare records (EHR) are important for research, public health and to inform healthcare utilisation and service provision. However, there is no standardised method of identifying AECOPD in UK EHR. We aimed to validate the recording of AECOPD in UK EHR. We randomly selected 1385 patients with COPD from the Clinical Practice Research Datalink. We selected dates of possible AECOPD based on 15 different algorithms between January 2004 and August 2013. Questionnaires were sent to GPs asking for confirmation of their patients’ AECOPD on the dates identified and for any additional relevant information. Responses were reviewed independently by two respiratory physicians. Positive predictive value (PPV) and sensitivity were calculated.
Data capture method | Other |
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Date (Date published in a 3rd party system) | 9 March 2016 |
Language(s) of written materials | English |
Data Creators | Chotirmall, SH, Rothnie, K, Müllerová, H, Hurst, JR, Smeeth, L, Davis, K, Thomas, SL and Quint, J |
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LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Non-Communicable Disease Epidemiology |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
Funders |
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Date Deposited | 15 Apr 2016 10:06 |
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Last Modified | 24 Aug 2021 09:25 |
Publisher | PLOS One |
Downloads
Data / Code
Filename: S1_TablesA-L.docx
Description: Tables A-L: Comparison of responders and non-responders and PPV for various algorithms stratified by patient characteristics
Content type: Dataset
File size: 42kB
Mime-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
Filename: Table1.xls
Description: Description of the algorithms tested
Content type: Dataset
File size: 5kB
Mime-Type: application/msword
Filename: Table2.xls
Description: Characteristics of the 988 patients included in the analysis
Content type: Dataset
File size: 9kB
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Filename: Table3.xls
Description: Flow of events through the study
Content type: Dataset
File size: 9kB
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Filename: Table4.xls
Description: PPV and sensitivity for the algorithms
Content type: Dataset
File size: 9kB
Mime-Type: application/msword
Filename: Table5.xls
Description: PPV and sensitivity of the algorithms to identify AECOPD including only patients for whom additional information was available from their GP questionnaire
Content type: Dataset
File size: 9kB
Mime-Type: application/msword
Filename: Table6.xls
Description: PPV and sensitivity of composite strategies to identify AECOPD including only patients for whom additional information was available from their GP questionnaire
Content type: Dataset
File size: 5kB
Mime-Type: application/msword
Documentation
Filename: S2_AECOPD_Codes.docx
Description: Codes to construct AECOPD algorithms
Content type: Textual content
File size: 44kB
Mime-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document