Identification of patients undergoing chronic kidney replacement therapy in primary and secondary care data: validation study based on OpenSAFELY and UK Renal Registry.
Shalini SanthakumaranLouis FisherViyaasan MahalingasivamLucy PlumbEdward P K ParkerRetha SteenkampCaroline MortonAmir MehrkarSebastian BaconSue LyonRob Konstant-HamblingAlex J WalkerBrian MacKennaLaurie A TomlinsonDorothea NitschPublished in: BMJ medicine (2024)
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.
Keyphrases
- replacement therapy
- smoking cessation
- healthcare
- electronic health record
- big data
- palliative care
- patients undergoing
- public health
- quality improvement
- chronic kidney disease
- type diabetes
- high resolution
- mental health
- gene expression
- machine learning
- data analysis
- risk assessment
- genome wide
- hepatitis c virus
- end stage renal disease
- dna methylation
- health information
- kidney transplantation
- men who have sex with men
- peritoneal dialysis