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Identification of patients undergoing chronic kidney replacement therapy in primary and secondary care data: validation study based on OpenSAFELY and UK Renal Registry.
- Source :
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BMJ medicine [BMJ Med] 2024 Apr 18; Vol. 3 (1), pp. e000807. Date of Electronic Publication: 2024 Apr 18 (Print Publication: 2024). - Publication Year :
- 2024
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Abstract
- Objective: To validate primary and secondary care codes in electronic health records to identify people receiving chronic kidney replacement therapy based on gold standard registry data.<br />Design: Validation study using data from OpenSAFELY and the UK Renal Registry, with the approval of NHS England.<br />Setting: Primary and secondary care electronic health records from people registered at 45% of general practices in England on 1 January 2020, linked to data from the UK Renal Registry (UKRR) within the OpenSAFELY-TPP platform, part of the NHS England OpenSAFELY covid-19 service.<br />Participants: 38 745 prevalent patients (recorded as receiving kidney replacement therapy on 1 January 2020 in UKRR data, or primary or secondary care data) and 10 730 incident patients (starting kidney replacement therapy during 2020), from a population of 19 million people alive and registered with a general practice in England on 1 January 2020.<br />Main Outcome Measures: Sensitivity and positive predictive values of primary and secondary care code lists for identifying prevalent and incident kidney replacement therapy cohorts compared with the gold standard UKRR data on chronic kidney replacement therapy. Agreement across the data sources overall, and by treatment modality (transplantation or dialysis) and personal characteristics.<br />Results: Primary and secondary care code lists were sensitive for identifying the UKRR prevalent cohort (91.2% (95% confidence interval (CI) 90.8% to 91.6%) and 92.0% (91.6% to 92.4%), respectively), but not the incident cohort (52.3% (50.3% to 54.3%) and 67.9% (66.1% to 69.7%)). Positive predictive values were low (77.7% (77.2% to 78.2%) for primary care data and 64.7% (64.1% to 65.3%) for secondary care data), particularly for chronic dialysis (53.7% (52.9% to 54.5%) for primary care data and 49.1% (48.0% to 50.2%) for secondary care data). Sensitivity decreased with age and index of multiple deprivation in primary care data, but the opposite was true in secondary care data. Agreement was lower in children, with 30% (295/980) featuring in all three datasets. Half (1165/2315) of the incident patients receiving dialysis in UKRR data had a kidney replacement therapy code in the primary care data within three months of the start date of the kidney replacement therapy. No codes existed whose exclusion would substantially improve the positive predictive value without a decrease in sensitivity.<br />Conclusions: Codes used in primary and secondary care data failed to identify a small proportion of prevalent patients receiving kidney replacement therapy. Codes also identified many patients who were not recipients of chronic kidney replacement therapy in UKRR data, particularly dialysis codes. Linkage with UKRR kidney replacement therapy data facilitated more accurate identification of incident and prevalent kidney replacement therapy cohorts for research into this vulnerable population. Poor coding has implications for any patient care (including eligibility for vaccination, resourcing, and health policy responses in future pandemics) that relies on accurate reporting of kidney replacement therapy in primary and secondary care data.<br />Competing Interests: Competing interests: All authors have completed the ICMJE uniform disclosure form at www.icmje.org/disclosure-of-interest/ and declare: support from the Wellcome Trust, Medical Research Council (MRC), UK Research and Innovation, National Institute for Health and Care Research (NIHR), Health Data Research UK, National Core Studies, and Health and Safety Executive for the submitted work; VM is supported by a fellowship grant from the NIHR; LP is supported by grants from Kidney Research UK and the Academy of Medical Sciences, and is the paediatric research lead for the UK Kidney Association (UKKA) for which she receives support for conference attendance; SL holds a contract with UKKA to provide support in medical writing (not for this study), has received consulting fees from Novartis Pharma AG and Guy’s and St Thomas’ NHS Trust, payment for a report for the European Renal Association, support for conference attendance from the European Renal Association, is the chair of the UKKA patient council, a trustee of Guy’s and St Thomas’ Kidney Patients’ Association, and a member of the Kidney Care UK Patient Advisory Group; LT holds grants from the MRC, Wellcome, NIHR, and GSK (no personal payment received), has consulted for Bayer (no personal payment received), received support from the Medicines and Healthcare products Regulatory Agency (MHRH) to attend an expert advisory group, and participates on four non-industry funded trial advisory committees; no financial relationships with any organisations that might have an interest in the submitted work in the previous three years; no other relationships or activities that could appear to have influenced the submitted work.<br /> (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY. Published by BMJ.)
Details
- Language :
- English
- ISSN :
- 2754-0413
- Volume :
- 3
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- BMJ medicine
- Publication Type :
- Academic Journal
- Accession number :
- 38645891
- Full Text :
- https://doi.org/10.1136/bmjmed-2023-000807