Mortality following hip arthroplasty--inappropriate use of National Joint Registry (NJR) data

2.50
Hdl Handle:
http://hdl.handle.net/11287/593842
Title:
Mortality following hip arthroplasty--inappropriate use of National Joint Registry (NJR) data
Authors:
Whitehouse, S. L.; Bolland, Benjamin J.; Howell, Jonathan R.; Crawford, R. W.; Timperley, Andrew J.
Abstract:
Mortality following hip arthroplasty is affected by a large number of confounding variables each of which must be considered to enable valid interpretation. Relevant variables available from the 2011 NJR data set were included in the Cox model. Mortality rates in hip arthroplasty patients were lower than in the age-matched population across all hip types. Age at surgery, ASA grade, diagnosis, gender, provider type, hip type and lead surgeon grade all had a significant effect on mortality. Schemper's statistic showed that only 18.98% of the variation in mortality was explained by the variables available in the NJR data set. It is inappropriate to use NJR data to study an outcome affected by a multitude of confounding variables when these cannot be adequately accounted for in the available data set.
Citation:
J Arthroplasty. 2014 Sep;29(9):1827-34.
Publisher:
Elsevier
Journal:
The Journal of arthroplasty
Issue Date:
1-Sep-2014
URI:
http://hdl.handle.net/11287/593842
DOI:
10.1016/j.arth.2014.04.022
PubMed ID:
24857335
Additional Links:
http://linkinghub.elsevier.com/retrieve/pii/S0883-5403(14)00264-2
Type:
Journal Article
Language:
eng
ISSN:
1532-8406
Appears in Collections:
Exeter Hip Unit; 2014 RD&E publications

Full metadata record

DC FieldValue Language
dc.contributor.authorWhitehouse, S. L.en
dc.contributor.authorBolland, Benjamin J.en
dc.contributor.authorHowell, Jonathan R.en
dc.contributor.authorCrawford, R. W.en
dc.contributor.authorTimperley, Andrew J.en
dc.date.accessioned2016-01-19T12:35:38Zen
dc.date.available2016-01-19T12:35:38Zen
dc.date.issued2014-09-01en
dc.identifier.citationJ Arthroplasty. 2014 Sep;29(9):1827-34.en
dc.identifier.issn1532-8406en
dc.identifier.pmid24857335en
dc.identifier.doi10.1016/j.arth.2014.04.022en
dc.identifier.urihttp://hdl.handle.net/11287/593842en
dc.description.abstractMortality following hip arthroplasty is affected by a large number of confounding variables each of which must be considered to enable valid interpretation. Relevant variables available from the 2011 NJR data set were included in the Cox model. Mortality rates in hip arthroplasty patients were lower than in the age-matched population across all hip types. Age at surgery, ASA grade, diagnosis, gender, provider type, hip type and lead surgeon grade all had a significant effect on mortality. Schemper's statistic showed that only 18.98% of the variation in mortality was explained by the variables available in the NJR data set. It is inappropriate to use NJR data to study an outcome affected by a multitude of confounding variables when these cannot be adequately accounted for in the available data set.en
dc.language.isoengen
dc.publisherElsevieren
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S0883-5403(14)00264-2en
dc.titleMortality following hip arthroplasty--inappropriate use of National Joint Registry (NJR) dataen
dc.typeJournal Articleen
dc.identifier.journalThe Journal of arthroplastyen

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