Robert Stansbury1, Patrick Strollo2,3, Nathan Pauly4, Ira Sharma5, Marco Schaaf4, Anina Aaron4, Judith Feinberg6. 1. Section of Pulmonary, Critical Care, and Sleep Medicine, West Virginia University Department of Medicine, Morgantown, West Virginia. 2. Department of Medicine, VA Pittsburgh, Pittsburgh, Pennsylvania. 3. Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania. 4. Office of Health Affairs, West Virginia University, Morgantown, West Virginia. 5. University of Pittsburgh, Pittsburgh, Pennsylvania. 6. Department of Behavioral Medicine and Psychiatry, West Virginia University, Morgantown, West Virginia.
Abstract
STUDY OBJECTIVES: To assess the prevalence rates of sleep-disordered breathing (SDB) in a high-risk and rural-dwelling Medicaid population with significant comorbidities. METHODS: Our study analyzed anonymized administrative claims data from West Virginia (WV) Medicaid. Claims data from 2019 were aggregated at the individual level to assess the overall prevalence of SDB and related conditions among adult Medicaid beneficiaries. The prevalence rate of SDB, specifically among individuals who had comorbid congestive heart failure, chronic obstructive pulmonary disease, or obesity, was determined. Finally, we compared our prevalence estimates from this Medicaid database with prevalence rates from national datasets including the Centers for Disease Control and Prevention's Behavioral Risk Factor Surveillance System. RESULTS: Of the total 413,757 Medicaid enrollees ≥ 18 years old analyzed, 36,433 had a diagnosis code of SDB for an overall prevalence of 8.8%. Based on national datasets and our study cohort characteristics, we conservatively estimated the prevalence of SDB in this WV Medicaid population to be 25%. For our secondary analyses, we determined the prevalence of SDB in specific disease cohorts of congestive heart failure (SDB prevalence 45%), chronic obstructive pulmonary disease (SDB prevalence 27%), and obesity (SDB prevalence 14%). CONCLUSIONS: Our analysis of WV Medicaid claims data indicates that SDB and other important medical conditions are underrecognized in this vulnerable, high-risk, primarily rural population. Interestingly, SDB was identified at high rates in the disease cohorts of interest. Our team believes SDB represents an ideal target/model for addressing the growing health disparities in the United States, which is a major concern for all stakeholders in health care. CITATION: Stansbury R, Strollo P, Pauly N, et al. Underrecognition of sleep-disordered breathing and other common health conditions in the West Virginia Medicaid population: a driver of poor health outcomes. J Clin Sleep Med. 2022;18(3):817-824.
STUDY OBJECTIVES: To assess the prevalence rates of sleep-disordered breathing (SDB) in a high-risk and rural-dwelling Medicaid population with significant comorbidities. METHODS: Our study analyzed anonymized administrative claims data from West Virginia (WV) Medicaid. Claims data from 2019 were aggregated at the individual level to assess the overall prevalence of SDB and related conditions among adult Medicaid beneficiaries. The prevalence rate of SDB, specifically among individuals who had comorbid congestive heart failure, chronic obstructive pulmonary disease, or obesity, was determined. Finally, we compared our prevalence estimates from this Medicaid database with prevalence rates from national datasets including the Centers for Disease Control and Prevention's Behavioral Risk Factor Surveillance System. RESULTS: Of the total 413,757 Medicaid enrollees ≥ 18 years old analyzed, 36,433 had a diagnosis code of SDB for an overall prevalence of 8.8%. Based on national datasets and our study cohort characteristics, we conservatively estimated the prevalence of SDB in this WV Medicaid population to be 25%. For our secondary analyses, we determined the prevalence of SDB in specific disease cohorts of congestive heart failure (SDB prevalence 45%), chronic obstructive pulmonary disease (SDB prevalence 27%), and obesity (SDB prevalence 14%). CONCLUSIONS: Our analysis of WV Medicaid claims data indicates that SDB and other important medical conditions are underrecognized in this vulnerable, high-risk, primarily rural population. Interestingly, SDB was identified at high rates in the disease cohorts of interest. Our team believes SDB represents an ideal target/model for addressing the growing health disparities in the United States, which is a major concern for all stakeholders in health care. CITATION: Stansbury R, Strollo P, Pauly N, et al. Underrecognition of sleep-disordered breathing and other common health conditions in the West Virginia Medicaid population: a driver of poor health outcomes. J Clin Sleep Med. 2022;18(3):817-824.
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