Is routine hospital episode data sufficient for identifying individuals with chronic kidney disease?: A comparison study with laboratory data

Lynn M. Robertson; Lucas Denadai; Corri Black; Nicholas Fluck; Gordon Prescott; William Simpson; Katie Wilde; Angharad Marks

doi:10.1177/1460458214562286

Is routine hospital episode data sufficient for identifying individuals with chronic kidney disease? A comparison study with laboratory data

Lynn M. Robertson, Lucas Denadai, Corri Black, Nicholas Fluck, Gordon Prescott, William Simpson, Katie Wilde, Angharad Marks

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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
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	https://doi.org/10.1177/1460458214562286
Publication status	Published - 1 Jun 2016

Bibliographical note

Acknowledgements
We thank the Information Services Division, Scotland, who provided the SMR01 data, and NHS Grampian, who provided the biochemistry data. We also thank the University of Aberdeen’s Data Management Team.

Funding
This work was supported by the Chief Scientists Office for Scotland (grant no. CZH/4/656).

Keywords

databases and data mining
ehealth
electronic health records
record linkage
secondary care

Access to Document

10.1177/1460458214562286Licence: Unspecified

Accepted Manuscript
Lynn M Robertson, Lucas DenadaiCorri Black, Nicholas Fluck, Gordon Prescott, William Simpson, Katie Wilde, Angharad Marks, 'Is routine hospital episode data sufficient for identifying individuals with chronic kidney disease? A comparison study with laboratory data', Health Informatics Journal (Vol 22, Issue 2) pp. 383 - 396. Copyright © The Author(s) 2014. Reprinted by permission of SAGE Publications. Final published version available at: http://dx.doi.org/10.1177/1460458214562286
Accepted author manuscript, 253 KBLicence: Unspecified

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

Corri Black
Person: Clinical Academic

Cite this

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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.",

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Is routine hospital episode data sufficient for identifying individuals with chronic kidney disease? A comparison study with laboratory data

Abstract

Bibliographical note

Keywords

Access to Document

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Datasets

Grampian Laboratory Outcomes Morbidity and Mortality Study (GLOMMS)

Profiles

Corri Black

Cite this