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BMC Medical Research Methodology
Published in: BMC Medical Research Methodology 1/2009

Open Access 01-12-2009 | Research article

Data enhancement for co-morbidity measurement among patients referred for sleep diagnostic testing: an observational study

Authors: Paul E Ronksley, Willis H Tsai, Hude Quan, Peter Faris, Brenda R Hemmelgarn

Published in: BMC Medical Research Methodology | Issue 1/2009

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Abstract

Background

Observational outcome studies of patients with obstructive sleep apnea (OSA) require adjustment for co-morbidity to produce valid results. The aim of this study was to evaluate whether the combination of administrative data and self-reported data provided a more complete estimate of co-morbidity among patients referred for sleep diagnostic testing.

Methods

A retrospective observational study of 2149 patients referred for sleep diagnostic testing in Calgary, Canada. Self-reported co-morbidity was obtained with a questionnaire; administrative data and validated algorithms (when available) were also used to define the presence of these co-morbid conditions within a two-year period prior to sleep testing.

Results

Patient self-report of co-morbid conditions had varying levels of agreement with those derived from administrative data, ranging from substantial agreement for diabetes (κ = 0.79) to poor agreement for cardiac arrhythmia (κ = 0.14). The enhanced measure of co-morbidity using either self-report or administrative data had face validity, and provided clinically meaningful trends in the prevalence of co-morbidity among this population.

Conclusion

An enhanced measure of co-morbidity using self-report and administrative data can provide a more complete measure of the co-morbidity among patients with OSA when agreement between the two sources is poor. This methodology will aid in the adjustment of these coexisting conditions in observational studies in this area.
Appendix
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Metadata
Title
Data enhancement for co-morbidity measurement among patients referred for sleep diagnostic testing: an observational study
Authors
Paul E Ronksley
Willis H Tsai
Hude Quan
Peter Faris
Brenda R Hemmelgarn
Publication date
01-12-2009
Publisher
BioMed Central
Published in
BMC Medical Research Methodology / Issue 1/2009
Electronic ISSN: 1471-2288
DOI
https://doi.org/10.1186/1471-2288-9-50

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