Employer-mandated obstructive sleep apnea treatment and healthcare cost savings among truckers

Author:

Burks Stephen V123ORCID,Anderson Jon E4,Panda Bibhudutta1,Haider Rebecca1,Ginader Tim1,Sandback Nicole1,Pokutnaya Darya4,Toso Derek1,Hughes Natalie1,Haider Humza S4,Brockman Resa4,Toll Alice4,Solberg Nicholas4,Eklund Jesse1,Cagle Michael4,Hickman Jeffery S5,Mabry Erin5,Berger Mark6,Czeisler Charles A78,Kales Stefanos N8910

Affiliation:

1. Division of Social Science, University of Minnesota Morris (UMN Morris), Morris, MN

2. Behavioral and Personnel Economics Program, Institute of Labor Economics (IZA), Bonn, Germany

3. Roadway Safety Institute, Region 5 University Transportation Center, Minneapolis, MN

4. Division of Science and Math, University of Minnesota Morris (UMN Morris), Morris, MN

5. Virginia Tech Transportation Institute, Blacksburg, VA

6. Precision Pulmonary Diagnostics, Houston, TX

7. Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women’s Hospital, Boston, MA

8. Division of Sleep Medicine, Harvard Medical School, Boston, MA

9. Department of Environmental & Occupational Medicine & Epidemiology, Harvard TH Chan School of Public Health, Boston, MA

10. Occupational Medicine, Cambridge Health Alliance, Harvard Medical School, Cambridge, MA

Abstract

Abstract 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 18-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 (PMPM) 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 PMPM (95% CI: −$861, −$21). Conclusions Results suggest a carrier-based mandatory OSA program generates substantial savings in non-OSA-program medical insurance claim costs.

Funder

National Institutes of Health

National Surface Transportation Safety Center for Excellence

Publisher

Oxford University Press (OUP)

Subject

Physiology (medical),Neurology (clinical)

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