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Patterns and effects of missing comorbidity data for patients starting renal replacement therapy in England, Wales and Northern Ireland

Collier, Timothy, Steenkamp, Retha, Tomson, Charlie, Caskey, Fergus, Ansell, David, Roderick, Paul and Nitsch, Dorothea (2011) Patterns and effects of missing comorbidity data for patients starting renal replacement therapy in England, Wales and Northern Ireland Nephrology, Dialysis, Transplantation, 26, (11), pp. 3651-3658. (doi:10.1093/ndt/gfr111). (PMID:21436380).

Record type: Article


Background. Renal Registries play a key role in assessing quality of care and outcomes of renal replacement therapy and comparisons of outcomes between groups should adjust for differences in comorbidities. This study aimed to describe patterns of missing comorbidity data and differences in survival between patients with comorbidity data returned and those with missing comorbidity data.

Methods. Trends in comorbidity data returns by year (1998–2006) and within centres were examined using descriptive statistics. Survival of patients was described using Kaplan–Meier graphs (log-rank tests) and hazard ratios were calculated using Cox proportional hazard models. Last follow-up was at 31 December 2007. A range of sensitivity analyses were carried out, including multiple imputation.

Results. Among 34 059 patients, there were 62% who had no comorbidity data. The completeness of comorbidity data increased markedly from 17% in 1998 to 47% in 2003, but had fallen back to 37% by the year 2006. Those with a missing comorbidity generally do considerably worse than those without the comorbidity and in most cases more closely follow the survival curve of those with the comorbidity. Multiple imputation analysis suggested that those with missing information on comorbidity have higher prevalence of comorbidity than seen in those with available data. Treating missing comorbidity entries as indication of absent comorbidity (i.e. a tick only if yes policy) would lead to an attenuation of the effect of comorbidity on survival.

Conclusions. Missing data lead to difficulties in performing between centre comparisons. A ‘tick if present policy’ in comorbidity data collection should be discouraged. Much more work is needed to fully understand why levels of missing comorbidity data are so high and to identify strategies to improve recording.

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More information

Published date: November 2011
Keywords: comobidity, dialysis, missing data, renal registry, survival
Organisations: Primary Care & Population Sciences


Local EPrints ID: 335434
ISSN: 0931-0509
PURE UUID: 23bbeaa8-4d58-4a66-be66-6f9605db24a8
ORCID for Paul Roderick: ORCID iD

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Date deposited: 13 Mar 2012 11:17
Last modified: 18 Jul 2017 06:10

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Author: Timothy Collier
Author: Retha Steenkamp
Author: Charlie Tomson
Author: Fergus Caskey
Author: David Ansell
Author: Paul Roderick ORCID iD
Author: Dorothea Nitsch

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