Is routine hospital episode data sufficient for identifying individuals with chronic kidney disease? : A comparison study with laboratory data
| dc.contributor.author | Robertson, Lynn M. | |
| dc.contributor.author | Denadai, Lucas | |
| dc.contributor.author | Black, Corri | |
| dc.contributor.author | Fluck, Nicholas | |
| dc.contributor.author | Prescott, Gordon | |
| dc.contributor.author | Simpson, William | |
| dc.contributor.author | Wilde, Katie | |
| dc.contributor.author | Marks, Angharad | |
| dc.contributor.institution | University of Aberdeen.Chronic Disease Research Group | en |
| dc.contributor.institution | University of Aberdeen.Other Applied Health Sciences | en |
| dc.contributor.institution | University of Aberdeen.Grampian Data Safe Haven (DaSH) | en |
| dc.contributor.institution | University of Aberdeen.Institute of Applied Health Sciences | en |
| dc.contributor.institution | University of Aberdeen.Farr Aberdeen | en |
| dc.date.accessioned | 2016-07-12T13:40:03Z | |
| dc.date.available | 2016-07-12T13:40:03Z | |
| dc.date.issued | 2016-06-01 | |
| dc.description | 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). | en |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 14 | |
| dc.format.extent | 258631 | |
| dc.identifier | 45922887 | |
| dc.identifier | 2c26deef-4372-4ac1-af1d-fb2dd141a037 | |
| dc.identifier | 25552482 | |
| dc.identifier | 84971324433 | |
| dc.identifier.citation | 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. https://doi.org/10.1177/1460458214562286 | en |
| dc.identifier.doi | 10.1177/1460458214562286 | |
| dc.identifier.iss | 2 | en |
| dc.identifier.issn | 1460-4582 | |
| dc.identifier.other | ORCID: /0000-0003-1910-462X/work/43958830 | |
| dc.identifier.other | ORCID: /0000-0001-5024-8846/work/165792279 | |
| dc.identifier.uri | http://hdl.handle.net/2164/6207 | |
| dc.identifier.vol | 22 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | Health Informatics Journal | en |
| dc.subject | databases and data mining | en |
| dc.subject | ehealth | en |
| dc.subject | electronic health records | en |
| dc.subject | record linkage | en |
| dc.subject | secondary care | en |
| dc.subject | R Medicine | en |
| dc.subject | Chief Scientist Office (CSO) | en |
| dc.subject | CZH/4/656 | en |
| dc.subject.lcc | R | en |
| dc.title | Is routine hospital episode data sufficient for identifying individuals with chronic kidney disease? : A comparison study with laboratory data | en |
| dc.type | Journal article | en |
