key: cord-0767916-is5tzs7v
authors: Wickwire, Emerson M
title: Value-based sleep and breathing: health economic aspects of obstructive sleep apnea
date: 2021-04-19
journal: Fac Rev
DOI: 10.12703/r/10-40
sha: f8ca07964b77ec1b68394d39d915ef59d83bc56f
doc_id: 767916
cord_uid: is5tzs7v

Obstructive sleep apnea (OSA) is a common and costly medical condition. Untreated OSA is associated with numerous and well-documented adverse health consequences including depression, diabetes, cardiovascular disease, and premature death. In addition to these health consequences, untreated OSA is also associated with substantial costs borne by patients, payers, the health system, and society at large. Perhaps more importantly, evidence suggests that OSA treatment is associated with positive economic benefit. The purpose of this brief review is to introduce economic aspects of OSA, including the potential economic benefit of OSA treatment.

Obstructive sleep apnea (OSA) is a common and costly medical condition. The health consequences of OSA include increased risk for cardiovascular disease 1-3 , stroke 4 , metabolic syndrome 5,6 , reduced quality of life 7 , and premature death 8, 9 . Approximately 14% of men and 5% of women between the ages of 30 and 70 years in the United States suffer moderate to severe OSA 10 , with 936 million individuals estimated to suffer OSA worldwide 11 . In part because of rising rates of obesity, the prevalence of the disorder is increasing 12,13 .

Beyond well-documented adverse health outcomes, OSA incurs dramatic economic costs borne by patients, payers, employers, and society 14 . Yet, despite widespread acknowledgment that OSA is associated with substantial economic burden, relatively little research has evaluated economic aspects of OSA treatments 15 . In the modern healthcare climate of rising costs on the one hand and limited resources on the other, such knowledge is essential for payers and policy-makers who seek to make evidence-based decisions regarding allocation of scarce healthcare resources. To this end, the purpose of the present paper is to introduce key health economic concepts pertaining to OSA and to very briefly summarize the evidence to date regarding health economic aspects of OSA.

Costs of obstructive sleep apnea Several years ago, the American Academy of Sleep Medicine commissioned a white paper that estimated total societal-level costs of OSA to exceed $150 billion per year in the United States alone 16 . Broadly speaking, these OSA costs can be divided into three categories: direct costs, indirect costs, and health-related quality of life (HrQOL). Direct costs of OSA include costs of OSA diagnosis and management, including provider consultation, sleep apnea testing, device and supply costs (e.g. continuous positive airway pressure [CPAP] or oral appliance [OA] therapy), prescription medications, and so on. Indirect costs include costs unrelated to direct OSA care that are nonetheless attributable to OSA, such as increased healthcare utilization (HCU) for non-OSA conditions, diminished workplace productivity (e.g. absenteeism or presenteeism [being physically present but less productive than expected]), and increased risk of accidents and errors including motor vehicle collisions (MVCs). In the AASM white paper, the greatest costs associated with OSA were lost workplace productivity ($86.9 billion), increased HCU ($30 billion), MVCs ($26.2 billion), and workplace accidents and injuries ($6.5 billion) 16 . Although total societal-level costs are often cited to demonstrate the costs associated with OSA and other sleep disorders, it is important to realize that each of these costs is primarily borne by different stakeholders 17 .

Health-related quality of life In addition to direct and indirect costs that can be clearly monetized, HrQOL is a key economic outcome 18, 19 . HrQOL includes both general as well as disease-specific outcomes, which can be measured using various tools. Common general HrQOL measures include the PROMIS, developed as part of the National Institutes of Health Roadmap 20 , Short-Form 36 (SF-36) 21 , EuroQol-5D 22 , and others; the Functional Outcomes of Sleep Questionnaire (FOSQ) 23 is an example of an OSA-specific measure of HrQOL. The most common economic metric to quantify HrQOL is the quality adjusted life year (QALY). QALYs represent the product of HrQOL and time (i.e. [quality on 0-1 utility scale] * [time in years]) and thus provide researchers and decision-makers with a standardized metric to compare return-on-investment across diverse disease states, such as in cost-effectiveness analyses (CEAs) 15 . In CEAs, cost-effectiveness is determined based on the ratio of quality to cost, which is known as the incremental cost-effectiveness ratio (ICER). As a measure of value, ICERs reflect the cost per QALY. A given health system or payer determines a willingness to pay (WTP) for a QALY. For example, in the US, a cost of $50,000 per QALY is a generally accepted threshold for cost-effectiveness. Over the past three-plus decades, a preponderance of evidence demonstrates that untreated OSA worsens HrQOL and OSA treatments improve HrQOL and are generally cost-effective 14 .

Economic perspective: value is in the eye of the beholder The sleep medicine ecosystem includes diverse stakeholders such as patients, payers, providers, health systems, and equipment manufacturers, just to name a few. Each of these stakeholders incurs different costs (and potentially cost savings or revenues) so perceives the value of sleep differently. For example, patients desire improved quality of life, such as increased energy for work or leisure activities, as well as ease of care experience. Payers want to reduce costs of care delivery, which is directly related to profits. Providers want valid, reliable, and easy-to-administer testing and treatment options, and so on. Table 1 presents common economic perspectives in sleep medicine.

From an economic perspective, the diagnosis of OSA involves two broad components: provider time and sleep apnea testing. As a result, the most expensive costs would include a face-to-face physician encounter, in regulated hospital space, and in-lab diagnostic polysomnography with an additional in-lab CPAP titration. At the other extreme, diagnostic costs could include consultation with a mid-level provider, via telehealth, and home sleep apnea testing (HSAT) without a separate titration study. Like OSA diagnosis, OSA treatment costs include two components: initial device and equipment (e.g. CPAP) and ongoing supply costs. Furthermore, it is important to realize the competing interests in these OSA pathways: cost savings (a positive) from the payer's perspective results in reduced revenue (a negative) from the health system's perspective or decreased reimbursement (a negative) from the provider's perspective. As one example, consider findings from an economic analysis of a multi-site clinical trial designed to compare in-lab versus at-home approaches to OSA diagnosis and treatment 24 . Kim and colleagues found that payer costs were reduced by $264 over three months when patients were treated within the at-home arm (as opposed to the in-lab arm). By contrast, provider operating margin was reduced from $142 to -$161 under these same conditions. Finally, time horizon is an important consideration: most OSA treatment costs are front-loaded, but OSA cost reductions might not be realized immediately.

As healthcare transitions from volume-based care to value-based care, alternative payment models (APMs) have been employed in numerous disease states. To date, APMs have not yet impacted sleep medicine in the US in a meaningful way. Nonetheless, bundled payments and shared risk are likely to impact the field of sleep medicine sooner rather than later. Within a value-based framework, both maximizing quality and minimizing cost are essential. Such matters, including cost-shifting between stakeholders, have been discussed in detail elsewhere 17 .

Relative to thousands of studies that evaluated pathophysiologic, clinical, and epidemiologic aspects of OSA, few studies have considered the economic impact of OSA treatments. Two prior reviews primarily considered costs of untreated OSA 25 or included only a very limited number (n = 5) of studies that examined the impact of OSA treatment on HCU 26 . More recently, our group published a systematic review of the impact of OSA treatments on monetized economic outcomes. Results demonstrated that 15 of 17 comparisons reported a positive economic benefit from OSA treatment (results are included in Table 2 ) 14 . Since that time, two additional studies have found a beneficial effect on PAP. Kirsch and colleagues 27 analyzed data from a large health system in the Southeastern US. These investigators found a linear dose-response relationship between objective CPAP adherence data and acute healthcare costs, including reductions in inpatient stays and acute care visits.

A particular strength of this study was the use of objective CPAP adherence data, which enables the evaluation of dose-response effects. At the same time, although this study controlled for baseline differences between adherence groups, it was limited in its approach to control for the "healthy user effect" over time (i.e. that CPAP adherence is associated with positive health behaviors) 40,41 , which might have contributed to the positive findings. Similarly, Chhatre and colleagues analyzed data from a large national Medicare administrative claims database 32 . When the authors used CPAP machine charges as a proxy for objective CPAP use, CPAP was associated with reduced total costs. Interestingly, de Vries and colleagues 33 found OA therapy more cost-effective than CPAP in terms of QALYs, but not in terms of reduction in apnea-hypopnea index, over 12 months. Results of these and other studies examining the economic impact of OSA treatments, reflecting a non-systematic update since our prior systematic review 14 , are summarized in Table 2 .

Racial and socioeconomic factors have been identified as an important determinant of OSA and OSA outcomes. For example, relative to whites, blacks suffer higher rates of OSA but are less likely to be diagnosed 42 . Evidence suggests that such racial sleep disparities might underlie racial disparities in chronic disease outcomes, such as cardiovascular disease and diabetes 43 . Relative to whites, blacks are also less likely to adhere to CPAP therapy 44 , and low socioeconomic status (SES) and neighborhood of residence have also been associated with poorer CPAP adherence 45,46 . These results further support a link between OSA disparities and health disparities. In recognition of the importance of sleep disparities in overall health disparities, the National Institutes of Health recently hosted a workshop and identified research needs; a summary report has been published elsewhere and is recommended for review 47 .

Our most important recommendation is to include economic outcomes in OSA clinical trials and sleep research more broadly. Public-private partnerships are likely to be especially fruitful in this regard. Second, in light of the high rates of comorbidity of OSA with numerous medical and psychiatric conditions (e.g. cardiovascular disease, depression, and neurodegenerative disorders, including Alzheimer's disease), it will be important to evaluate economic aspects of OSA within various disease subpopulations. Disentangling the effects of OSA relative to the often better studied comorbid conditions, such as cardiovascular disease, is methodologically challenging yet vital 48 . Third, it is essential to adopt the employer's perspective when assessing the economic impact of OSA. It is notable that the majority of OSA-related costs are borne by employers, yet very few studies have considered economic aspects of OSA from the employer's perspective. Fourth, given the positive economic impact of CPAP adherence, much greater insight is needed regarding the costs and effectiveness of interventions to improve CPAP adherence 14, 48, 49 . Finally, given the very rapid technological advancements in OSA diagnosis and treatment, it will be important to evaluate the economic impact of telehealth and remote monitoring for OSA. This recommendation is especially important given the impact of the COVID-19 pandemic in terms of clinical care and rapid adoption of telehealth approaches. Additional actionable recommendations to advance understanding regarding the health economic aspects of OSA are presented in Table 3 . 

In summary, OSA incurs significant economic costs borne by a wide range of stakeholders including patients, payers, health systems, industry partners, and others. Although important questions remain unanswered, a small but considerable body of evidence suggests that the diagnosis and treatment of OSA is associated with positive economic benefit. Our most important recommendations are for researchers to include economic endpoints in all OSA clinical trials and to adopt the economic perspectives of multiple stakeholders in the sleep medicine ecosystem. In the modern healthcare climate of rising costs on one hand and limited resources on the other, economic aspects of care will become increasingly important determinants of health policy and resource allocation.

Under-diagnosis of sleep apnea in patients after acute myocardial infarction