References
- Esteban C, Quintana JM, Garcia-Gutierrez S, et al. Determinants of change in physical activity during moderate-to-severe COPD exacerbation. Int J COPD. 2016;11:251–261. doi:10.2147/COPD.S79580
- Anandan C, Simpson CR, Fischbacher C, Sheikh A. Exploiting the potential of routine data to better understand the disease burden posed by allergic disorders. Clin Exp Allergy. 2006;36(7):866–871. doi:10.1111/j.1365-2222.2006.02520.x
- Goldstein BA. Five analytic challenges in working with electronic health records data to support clinical trials with some solutions. Clin Trials. 2020;17(4):370–376. doi:10.1177/1740774520931211
- Whittaker H, Quint JK. Using routine health data for research: the devil is in the detail. Thorax. 2020;75(9):714–715. doi:10.1136/thoraxjnl-2020-214821
- Introduction to codelists; OpenSAFELY documentation. Available from: https://docs.opensafely.org/codelist-intro/. Accessed January 14, 2022.
- O’Malley KJ, Cook KF, Price MD, Wildes KR, Hurdle JF, Ashton CM. Measuring diagnoses: ICD code accuracy. Health Serv Res. 2005;40(5p2):1620–1639. doi:10.1111/j.1475-6773.2005.00444.x
- Quint JK, Müllerova H, DiSantostefano RL, et al. Validation of chronic obstructive pulmonary disease recording in the clinical practice research datalink (CPRD-GOLD). BMJ open. 2014;4(7):e005540–e. doi:10.1136/bmjopen-2014-005540
- Simpson CR, Anandan C, Fischbacher C, Lefevre K, Sheikh A. Will systematized nomenclature of medicine-clinical terms improve our understanding of the disease burden posed by allergic disorders? Clin Exp Allergy. 2007;37(11):1586–1593. doi:10.1111/j.1365-2222.2007.02830.x
- Tate AR, Dungey S, Glew S, Beloff N, Williams R, Williams T. Quality of recording of diabetes in the UK: how does the GP’s method of coding clinical data affect incidence estimates? Cross-sectional study using the CPRD database. BMJ open. 2017;7(1):e012905–e. doi:10.1136/bmjopen-2016-012905
- Nissen F, Quint JK, Morales DR, Douglas IJ. How to validate a diagnosis recorded in electronic health records. Breathe. 2019;15(1):64–68. doi:10.1183/20734735.0344-2018
- Scott P, Dunscombe R, Evans D, Mukherjee M, Wyatt J. Learning health systems need to bridge the ‘two cultures’ of clinical informatics and data science. J Innov Health Inform. 2018;25(2):126–131. doi:10.14236/jhi.v25i2.1062
- Mukherjee M, Stoddart A, Gupta R, et al. The epidemiology, healthcare and societal burden and costs of asthma in the UK and its member nations: analyses of standalone and linked national databases. BMC Med. 2016;14. doi:10.1186/s12916-016-0657-8
- Al Sallakh MA, Vasileiou E, Rodgers SE, Lyons RA, Sheikh A, Davies GA. Defining asthma and assessing asthma outcomes using electronic health record data: a systematic scoping review. Eur Respir J. 2017;49(6):1700204.
- Nissen F, Quint JK, Wilkinson S, Mullerova H, Smeeth L, Douglas IJ. Validation of asthma recording in electronic health records: a systematic review. Clin Epidemiol. 2017;9:643–656. doi:10.2147/CLEP.S143718
- Rothnie KJ, Müllerová H, Hurst JR, et al. Validation of the recording of acute exacerbations of COPD in UK Primary Care Electronic Healthcare Records. PLoS One. 2016;11(3):e0151357–e. doi:10.1371/journal.pone.0151357
- Jayatunga W, Stone P, Aldridge RW, Quint JK, George J. Code sets for respiratory symptoms in electronic health records research: a systematic review protocol. BMJ open. 2019;9(3):e025965–e. doi:10.1136/bmjopen-2018-025965
- Pikoula M, Quint JK, Nissen F, Hemingway H, Smeeth L, Denaxas S. Identifying clinically important COPD sub-types using data-driven approaches in primary care population based electronic health records. BMC Med Inform Decis Mak. 2019;19(1). doi:10.1186/s12911-019-0805-0
- Health Data Research UK (HDRUK) Phenotype Library. Available from: https://phenotypes.healthdatagateway.org/phenotypes/. Accessed December 01, 2021.
- University of Cambridge Research Methods Hub, Code lists. Available from: https://www.phpc.cam.ac.uk/pcu/research/research-groups/crmh/cprd_cam/codelists/. Accessed December 01, 2021.
- University of Keele Medical Record Data Research, Code Lists. Available from: https://www.keele.ac.uk/mrr/codelists/. Accessed December 01, 2021.
- London School of Hygiene and Tropical Medicine (LSHTM) data compass. Available from: https://datacompass.lshtm.ac.uk/. Accessed December 01, 2021.
- University of Manchester, Clinical Codes. Available at https://clinicalcodes.rss.mhs.man.ac.uk/. Accessed December 01, 2021.
- NHS Digital Clinical Classifications. Available from: https://digital.nhs.uk/services/terminology-and-classifications/clinical-classifications. Accessed December 01, 2021.
- OpenSAFELY Code. Available from: https://www.opensafely.org/code/. Accessed December 01, 2021.
- UK Biobank Primary Care Linked Data. Available from: https://biobank.ndph.ox.ac.uk/showcase/showcase/docs/primary_care_data.pdf. Accessed December 01, 2021.
- Soriano JB, Kendrick PJ, Paulson K, et al. Prevalence and attributable health burden of chronic respiratory diseases, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet Respir Med. 2020;8(6):585–596.
- Jordan K, Porcheret M, Croft P. Quality of morbidity coding in general practice computerized medical records: a systematic review. Fam Pract. 2004;21(4):396–412. doi:10.1093/fampra/cmh409
- Mukherjee M, Wyatt JC, Simpson CR, Sheikh A. Usage of allergy codes in primary care electronic health records: a national evaluation in Scotland. Allergy. 2016;71(11):1594–1602. doi:10.1111/all.12928