Study on adherence to positive airway pressure treatment for patients with obstructive sleep apnea using real-world big data in a telemedicine management system

Obstructive Sleep Apnea (OSA) is a disorder that is characterized by obstructive apneas and hypopneas/respiratory effort-related arousals caused by upper airway collapse during sleep. Positive Airway Pressure (PAP) is the first-line treatment for moderate to severe OSA. However, the effectiveness of PAP therapies is contingent on treatment adherence. With the implementation of the wireless transmission for PAP treatment, it is possible to evaluate the objective adherence to PAP use. The purpose of this study is to assess the adherence to PAP therapy of Chinese OSA patients in a telemedicine management system which could fulfill automatic transmission of PAP treatment data. First, we use the telemedicine management system to extract PAP adherence information of OSA adult patients in one week, one month, three months, six months and 12 months. Second, we describe the general profile of PAP therapy adherence. Third, the latent class growth modeling and growth mixture modeling was conducted using Mplus 8.0 to identify the trajectories of adherence over time. Of all the 662 patients involved in our study, PAP adherence declined over time. After one year, the proportion of days compliant was 53.7%, the proportion of good compliance was 45.2%, the daily usage (all days) was 3.9 h/night, slightly lower than subjective adherence reported in the previous literatures. In addition, we identified three patterns of adherence over time: great users (39.9%; high mean value and level, negative slope, slow decline), good users (34.8%; moderate mean value and level, negative slope, rapid decline) and low users (25.3%; low mean value and level, negative slope, rapid decline). In brief, telemedicine management system provides a convenient platform for monitoring the treatment compliance of OSA patients powerfully and accurately. To improve the low PAP adherence in China, we should make good use of the PAP therapy telemedicine management platform to detect patients with poor adherence and provide timely intervention. Besides, our research provides a foundation for future studies to explore the determinants of observed trajectories of PAP adherence based on the telemedicine platforms.