Is routine hospital episode data sufficient for identifying individuals with chronic kidney disease? A comparison study with laboratory data. (June 2016)

• Record Type: Journal Article
• Authors: Robertson, Lynn M; Denadai, Lucas; Black, Corri; Fluck, Nicholas; Prescott, Gordon; Simpson, William; Wilde, Katie; Marks, Angharad
• Is Part Of: Health informatics journal. Volume 22:Number 2(2016:Jun.)
• Page Start: 383
• Page End: 396
• Publication Date: 2016-06
• Subjects: databases and data mining -- ehealth -- electronic health records -- record linkage -- secondary care; Medical informatics -- Periodicals; 610.285
• DOI: 10.1177/1460458214562286
• Languages: English
• ISSNs: 1460-4582

Abstract

Internationally, investment in the availability of routine health care data for improving health, health surveillance and health care is increasing. We assessed the validity of hospital episode data for identifying individuals with chronic kidney disease compared to biochemistry data in a large population-based cohort, the Grampian Laboratory Outcomes, Morbidity and Mortality Study-II (n = 70, 435). Grampian Laboratory Outcomes, Morbidity and Mortality Study-II links hospital episode data to biochemistry data for all adults in a health region with impaired kidney function and random samples of individuals with normal and unmeasured kidney function in 2003. We compared identification of individuals with chronic kidney disease by hospital episode data (based on International Classification of Diseases-10 codes) to the reference standard of biochemistry data (at least two estimated glomerular filtration rates <60 mL/min/1.73 m 2 at least 90 days apart). Hospital episode data, compared to biochemistry data, identified a lower prevalence of chronic kidney disease and had low sensitivity (<10%) but high specificity (>97%). Using routine health care data from multiple sources offers the best opportunity to identify individuals with chronic kidney disease.