It is increasingly recognized that the high prevalence of obstructive sleep apnoea (OSA), and its associated cardio-metabolic morbidities make OSA a burden for society. Continuous positive airway pressure (CPAP), the gold standard treatment, needs to be used for more than 4 h/night to be effective, but suffers from relatively poor adherence. Furthermore, CPAP is likely to be more effective if combined with lifestyle changes. Thus, the remote telemonitoring (TM) of OSA patients in terms of CPAP use, signalling of device problems, following disease progression, detection of acute events and monitoring of daily physical activity is an attractive option. In the present review, we aim to summarize the recent scientific data on remote TM of OSA patients, and whether it meets expectations. We also look at how patient education and follow-up via telemedicine is used to improve adherence and we discuss the influence of the profile of the healthcare provider. Then, we consider how TM might be extended to encompass the patient's cardio-metabolic health in general. Lastly, we explore how TM and the deluge of data it potentially generates could be combined with electronic health records in providing personalized care and multi-disease management to OSA patients.
(a) Background: In patients with sleep apnea, poor adherence to positive airway pressure (PAP) therapy has been associated with mortality. Regional studies have suggested that lower socioeconomic status is associated with worse PAP adherence but population-level data is lacking. (b) Methods: De-identified data from a nationally representative database of PAP devices was geo-linked to sociodemographic information. (c) Results: In 170,641 patients, those in the lowest quartile of median household income had lower PAP adherence (4.1 + 2.6 hrs/night; 39.6% adherent by Medicare criteria) than those in neighborhoods with highest quartile median household income (4.5 + 2.5 hrs/night; 47% adherent by Medicare criteria; p < 0.0001). In multivariate regression, individuals in neighborhoods with the highest income quartile were more adherent to PAP therapy than those in the lowest income quartile after adjusting for various confounders (adjusted Odds Ratio (adjOR) 1.18; 95% confidence interval (CI) 1.14, 1.21; p < 0.0001). Over the past decade, PAP adherence improved over time (adjOR 1.96; 95%CI 1.94, 2.01), but health inequities in PAP adherence remained even after the Affordable Care Act was passed. (d) Conclusion: In a nationally representative population, disparities in PAP adherence persist despite Medicaid expansion. Interventions aimed at promoting health equity in sleep apnea need to be undertaken.
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