Validation of the Recording of Acute Exacerbations of COPD in UK Primary Care Electronic Healthcare Records
, Davis, K, Thomas, SL and Quint, J
(2016).
Validation of the Recording of Acute Exacerbations of COPD in UK Primary Care Electronic Healthcare Records.
[Dataset].
PLOS One.
https://doi.org/10.1371/journal.pone.0151357
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.
Keywords
Antibiotics, Chronic obstructive pulmonary disease, Physicians, Primary care, Health services research, Algorithms, Diagnostic medicine, Public and occupational health| Item Type | Dataset |
|---|---|
| Capture method | Other |
| Date | 9 March 2016 |
| Language(s) of written materials | English |
| Creator(s) |
Chotirmall, SH, Rothnie, K, Müllerová, H, Hurst, JR, Smeeth, L, Davis, K, Thomas, SL and Quint, J
|
| 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 |
Project Funder Grant Number Funder URI |
| Date Deposited | 15 Apr 2016 10:06 |
| Last Modified | 24 Aug 2021 09:25 |
| Publisher | PLOS One |
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subject - Data
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info - Tables A-L: Comparison of responders and non-responders and PPV for various algorithms stratified by patient characteristics
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info - Codes to construct AECOPD algorithms
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subject - Documentation
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info - Patient flow through the study
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subject - Data
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info - Description of the algorithms tested
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info - Characteristics of the 988 patients included in the analysis
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info - Flow of events through the study
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info - PPV and sensitivity for the algorithms
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subject - Data
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info - PPV and sensitivity of the algorithms to identify AECOPD including only patients for whom additional information was available from their GP questionnaire
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subject - Data
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info - PPV and sensitivity of composite strategies to identify AECOPD including only patients for whom additional information was available from their GP questionnaire
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