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.
Original language | English |
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Pages (from-to) | 383-396 |
Number of pages | 14 |
Journal | Health Informatics Journal |
Volume | 22 |
Issue number | 2 |
Early online date | 31 Dec 2014 |
DOIs | |
Publication status | Published - 1 Jun 2016 |
Keywords
- databases and data mining
- ehealth
- electronic health records
- record linkage
- secondary care
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Dive into the research topics of 'Is routine hospital episode data sufficient for identifying individuals with chronic kidney disease? A comparison study with laboratory data'. Together they form a unique fingerprint.Datasets
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Grampian Laboratory Outcomes Morbidity and Mortality Study (GLOMMS)
Black, C. (Creator) & Marks, A. (Creator), Grampian Data Safe Haven, 2014
http://www.abdn.ac.uk/ims/research/immunology/renal-304.php
Dataset
Profiles
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Corri Black
- Aberdeen Centre For Health Data Science
- School of Medicine, Medical Sciences & Nutrition, Centre for Health Data Science
- School of Medicine, Medical Sciences & Nutrition, Applied Health Sciences - Personal Chair (Clinical)
- School of Medicine, Medical Sciences & Nutrition, Grampian Data Safe Haven (DaSH)
- School of Medicine, Medical Sciences & Nutrition, Chronic Disease Research Group
- School of Medicine, Medical Sciences & Nutrition, Farr Aberdeen
Person: Clinical Academic