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


Autoria(s): Robertson, Lynn M; Denadai, Lucas; Black, Corri; Fluck, Nicholas; Prescott, Gordon; Simpson, William; Wilde, Katie; Marks, Angharad
Data(s)

12/07/2016

12/07/2016

01/06/2016

Resumo

© The Author(s) 2014. 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).

Peer reviewed

Postprint

Formato

14

Identificador

Robertson , L M , Denadai , L , Black , C , Fluck , N , Prescott , G , Simpson , W , Wilde , K & Marks , A 2016 , ' Is routine hospital episode data sufficient for identifying individuals with chronic kidney disease? : A comparison study with laboratory data ' Health Informatics Journal , vol 22 , no. 2 , pp. 383-396 . , 10.1177/1460458214562286

1460-4582

PURE: 45922887

PURE UUID: 2c26deef-4372-4ac1-af1d-fb2dd141a037

PubMed: 25552482

http://hdl.handle.net/2164/6207

http://dx.doi.org/10.1177/1460458214562286

Idioma(s)

eng

Relação

Health Informatics Journal

Direitos

This is the author's accepted manuscript of an article published in Health Informatics Journal at http://dx.doi.org/10.1177/1460458214562286

Palavras-Chave #databases and data mining #ehealth #electronic health records #record linkage #secondary care #R Medicine #R
Tipo

Journal article

Contribuinte(s)

University of Aberdeen, Medicine, Medical Sciences & Nutrition, Other Applied Health Sciences

University of Aberdeen, Chronic Disease Research Group

University of Aberdeen, Data Safe Haven

University of Aberdeen, IT Services, Research & Data Management