Open AccessCase-Ascertainment Models to Identify Adults with Obstructive Sleep Apnea Using Health Administrative Data: Internal and External Validation
Author(s) -
Tetyana Kendzerska,
Carl van Walraven,
Daniel I. McIsaac,
Marcus Povitz,
Sunita Mulpuru,
Isac Lima,
Robert Talarico,
Shawn D. Aaron,
W. Michael Reisman,
Andrea S. Gershon
Publication year - 2021
Publication title -
clinical epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.868
H-Index - 58
ISSN - 1179-1349
DOI - 10.2147/clep.s308852
Subject(s) - medicine , logistic regression , cart , apnea–hypopnea index , obstructive sleep apnea , nomogram , polysomnography , statistics , apnea , mathematics , mechanical engineering , engineering
There is limited evidence on whether obstructive sleep apnea (OSA) can be accurately identified using health administrative data.