Missed Opportunities for Chronic Kidney Disease Recognition in Irish Primary Care: A Nationwide Electronic Health Record Study

Objectives: To examine chronic kidney disease (CKD) diagnostic coding in Irish primary care using electronic health records (EHRs). Methods: This retrospective cohort study used EHR data from 592,888 active patients across 66 Irish primary care practices. Adults aged ≥20 years meeting laboratory-based CKD criteria were identified. CKD coding was defined by the presence of an ICD-10 or ICPC-2 diagnosis code. Coding rates were evaluated overall and by CKD stages, comorbidities, and practices. Results: Among 19,382 adults with laboratory-confirmed CKD (median age 76 years; 55.7% female), 14.6% had a documented CKD diagnosis code. Coding increased with disease severity, from 4.8% in stages 1-2 to 19.6% in stages 3-5, and varied by comorbidity burden, with only 10.1% of patients without major cardiometabolic comorbidities coded. Substantial practice-level variation was observed, with over half of practices (34/61) recording coding rates below 10%, while four exceeded 40%. Most patients (85.4%) remained uncoded throughout follow-up. Conclusions: This first nationwide study of CKD coding in Irish primary care network demonstrates substantial under-coding despite laboratory evidence, with marked variation between practices. Improving coding consistency and completeness may enhance CKD recognition, support earlier intervention, and improve patient outcomes.

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Journal
medRxiv
Published
2026-10-29
DOI
https://doi.org/10.64898/2026.10.27.26366613
Primary Topic
Medical Coding and Health Information
Type
preprint
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preprint

Missed Opportunities for Chronic Kidney Disease Recognition in Irish Primary Care: A Nationwide Electronic Health Record Study

Benjamin M. Jacob, Austin G. Stack, Danyao Jin, Donal J. Sexton et al.
2 links
medRxiv
Medical Coding and Health Information
preprint

Missed Opportunities for Chronic Kidney Disease Recognition in Irish Primary Care: A Nationwide Electronic Health Record Study

Benjamin M. Jacob, Austin G. Stack, Danyao Jin, Donal J. Sexton, Benjamin van Hecke, Donal Bailey, Patrick Redmond, Aoife Coughlan, Harriet A. Dickinson, Michael M. Hayes, Keelan Eyers, Emma Ryan
preprint en

Abstract

Objectives: To examine chronic kidney disease (CKD) diagnostic coding in Irish primary care using electronic health records (EHRs). Methods: This retrospective cohort study used EHR data from 592,888 active patients across 66 Irish primary care practices. Adults aged ≥20 years meeting laboratory-based CKD criteria were identified. CKD coding was defined by the presence of an ICD-10 or ICPC-2 diagnosis code. Coding rates were evaluated overall and by CKD stages, comorbidities, and practices. Results: Among 19,382 adults with laboratory-confirmed CKD (median age 76 years; 55.7% female), 14.6% had a documented CKD diagnosis code. Coding increased with disease severity, from 4.8% in stages 1-2 to 19.6% in stages 3-5, and varied by comorbidity burden, with only 10.1% of patients without major cardiometabolic comorbidities coded. Substantial practice-level variation was observed, with over half of practices (34/61) recording coding rates below 10%, while four exceeded 40%. Most patients (85.4%) remained uncoded throughout follow-up. Conclusions: This first nationwide study of CKD coding in Irish primary care network demonstrates substantial under-coding despite laboratory evidence, with marked variation between practices. Improving coding consistency and completeness may enhance CKD recognition, support earlier intervention, and improve patient outcomes.

medRxiv
Royal College of Surgeons in Ireland (IE), Trinity College Dublin (IE), University of Limerick (IE), Boehringer Ingelheim (United Kingdom) (GB)
Good health and well-being
Medical Coding and Health Information
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