TY - JOUR
PY - 2019//
TI - Employer-mandated obstructive sleep apnea treatment and healthcare cost savings among truckers
JO - Sleep
A1 - Burks, Stephen V.
A1 - Anderson, Jon E.
A1 - Panda, Bibhudutta
A1 - Haider, Rebecca
A1 - Ginader, Tim
A1 - Sandback, Nicole
A1 - Pokutnaya, Darya
A1 - Toso, Derek
A1 - Hughes, Natalie
A1 - Haider, Humza S.
A1 - Brockman, Resa
A1 - Toll, Alice
A1 - Solberg, Nicholas
A1 - Eklund, Jesse
A1 - Cagle, Michael
A1 - Hickman, Jeffery S.
A1 - Mabry, Erin
A1 - Berger, Mark
A1 - Czeisler, Charles A.
A1 - Kales, Stefanos N.
SP - ePub
EP - ePub
VL - ePub
IS - ePub
N2 - OBJECTIVE: To evaluate the effect of an employer-mandated obstructive sleep apnea (OSA) diagnosis and treatment program on non-OSA-program trucker medical insurance claim costs.
METHODS: Retrospective cohort analysis; cohorts constructed by matching (randomly, with replacement) Screen-positive Controls (drivers with insurance screened as likely to have OSA, but not yet diagnosed) with Diagnosed drivers (n=1,516; cases=1,224, OSA Negatives=292), on two factors affecting exposure to medical claims: experience level at hire and weeks of job tenure at the Diagnosed driver's polysomnogram (PSG) date (the "matching date"). All cases received auto-adjusting positive airway pressure (APAP) treatment, and were grouped by objective treatment adherence data: any "Positive Adherence" (n=932) versus "No Adherence" (n=292). Bootstrap resampling produced a difference-in-differences estimate of aggregate non-OSA-program medical insurance claim cost savings for 100 Diagnosed drivers as compared to 100 Screen-positive Controls before and after the PSG/matching date, over an eighteen-month period. A two-part multivariate statistical model was used to set exposures and demographics/-anthropometrics equal across sub-groups, and to generate a difference-in-differences comparison across periods that identified the effect of OSA treatment on per-member per-month costs of an individual driver, separately from cost differences associated with adherence choice.
RESULTS: Eighteen-month non-OSA-program medical claim costs savings from diagnosing (and treating as required) 100 Screen-positive Controls: $153,042 (95% CI: -$5,352, $330,525). Model-estimated effect of treatment on those adhering to APAP: -$441 per-member per-month (95% CI: -$861, -$21).
CONCLUSIONS: Results suggest a carrier-based mandatory OSA program generates substantial savings in non-OSA-program medical insurance claim costs.
© Sleep Research Society 2019. Published by Oxford University Press on behalf of the Sleep Research Society. All rights reserved. For permissions, please e-mail journals.permissions@oup.com.
Language: en
LA - en SN - 0161-8105 UR - http://dx.doi.org/10.1093/sleep/zsz262 ID - ref1 ER -