Literature DB >> 25552482

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

Lynn M Robertson1, Lucas Denadai2, Corri Black3, Nicholas Fluck4, Gordon Prescott2, William Simpson4, Katie Wilde2, Angharad Marks3.   

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.
© The Author(s) 2014.

Entities:  

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

Mesh:

Year:  2014        PMID: 25552482     DOI: 10.1177/1460458214562286

Source DB:  PubMed          Journal:  Health Informatics J        ISSN: 1460-4582            Impact factor:   2.681


  4 in total

1.  Prevalence and recognition of chronic kidney disease in Stockholm healthcare.

Authors:  Alessandro Gasparini; Marie Evans; Josef Coresh; Morgan E Grams; Olof Norin; Abdul R Qureshi; Björn Runesson; Peter Barany; Johan Ärnlöv; Tomas Jernberg; Björn Wettermark; Carl G Elinder; Juan-Jesüs Carrero
Journal:  Nephrol Dial Transplant       Date:  2016-10-13       Impact factor: 5.992

2.  The Impact of the Choice of Data Source in Record Linkage Studies Estimating Mortality in Venous Thromboembolism.

Authors:  Arlene M Gallagher; Tim Williams; Hubert G M Leufkens; Frank de Vries
Journal:  PLoS One       Date:  2016-02-10       Impact factor: 3.240

3.  Hip fracture incidence and mortality in chronic kidney disease: the GLOMMS-II record linkage cohort study.

Authors:  Lynn Robertson; Corrinda Black; Nick Fluck; Sharon Gordon; Rosemary Hollick; Huong Nguyen; Gordon Prescott; Angharad Marks
Journal:  BMJ Open       Date:  2018-04-12       Impact factor: 2.692

4.  A scheme based on ICD-10 diagnoses and drug prescriptions to stage chronic kidney disease severity in healthcare administrative records.

Authors:  Leif Friberg; Alessandro Gasparini; Juan Jesus Carrero
Journal:  Clin Kidney J       Date:  2017-08-02
  4 in total

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