Outpatient health care utilization for sleep disorders in the Cerner Health Facts database.

Document Type

Article

Publication Date

2-1-2021

Identifier

DOI: 10.5664/jcsm.8838

Abstract

STUDY OBJECTIVES: Sleep disorders are common in the general population. This study aimed to identify direct health care utilization for sleep disorders using big data through the Cerner Health Facts database.

METHODS: The Cerner Health Facts database has 68.7 million patients in the data warehouse, documenting approximately 506.9 million encounters from 100 nonaffiliated health care systems. To identify sleep-related health care utilization, we examined the frequency of outpatient encounters related to sleep disorders between the years 2000 and 2017. Sleep disorders were grouped-based on the International Classification of Sleep Disorders-Third Edition.

RESULTS: Approximately 20.5 million patients were identified with a total of 127.4 million outpatient encounters. In pediatric patients (ages 0-18 years), health care utilization for major sleep diagnoses was measured per 100,000 encounters. Sleep-related breathing disorders ranked first among common sleep disorders for pediatric patients followed by parasomnia, insomnia, sleep movement disorders, hypersomnolence, then circadian rhythm disorders (820.1, 258.1, 181.6, 68.3, 48.1, and 16.2 per 100,000 encounters, respectively). However, in adult patients, the ranking was slightly different, with sleep-related breathing disorders ranked first, followed by insomnia, sleep-related movement disorders, hypersomnolence, parasomnia, then circadian rhythm disorders (1352.6, 511.6, 166.3, 79.1, 25.7, and 4.2 per 100,000 encounters, respectively). In general, there was a bimodal pattern with a clear dip in sleep-related health care utilization in young adults age (age 19-29 years), with the exception of insomnia.

CONCLUSIONS: Patients with sleep disorders show relatively low health care utilization despite a known high prevalence of sleep disorders in the general population. This finding may highlight under-recognition of sleep problems or decreased access to health care for sleep disorders. In addition, this study highlights the effect of age-based variation on different sleep disorders, which may have an impact on allocating resources.

Journal Title

J Clin Sleep Med

Volume

17

Issue

2

First Page

203

Last Page

209

Keywords

Cerner; big data; health care; health facts; prevalence; sleep disorders; utilization

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