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 (kappa = 0.79) to poor agreement for cardiac arrhythmia (kappa = 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.
journal_name
BMC Med Res Methodoljournal_title
BMC medical research methodologyauthors
Ronksley PE,Tsai WH,Quan H,Faris P,Hemmelgarn BRdoi
10.1186/1471-2288-9-50subject
Has Abstractpub_date
2009-07-15 00:00:00pages
50issn
1471-2288pii
1471-2288-9-50journal_volume
9pub_type
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