Dataset Information

Quality analysis of smart phone sleep apps in China: can apps be used to conveniently screen for obstructive sleep apnea at home?

ABSTRACT: BACKGROUND:Obstructive sleep apnea (OSA) is a sleep disorder with a high prevalence in China. Standard diagnosis of OSA requires polysomnography (PSG). Currently, smart phone applications (apps) are widely used as an important source of health guidance. However, the quality of the information provided by these apps has not been carefully assessed. METHODS:We searched for sleep apps available in China. We designed an evaluation scale that included scientific, functionality and usability, and accountability domains. The Scientific domain included an index of 16 items to evaluate the scientific quality of the apps for their level of adherence to PSG. The functionality and usability domain included 10 items to evaluate the functions of apps and 1 item to define whether the apps needed to connect with other devices. The accountability domain included 9 items that came from the Silberg Scale to evaluate whether the information provided by apps were trustable or not. We then calculated the sum of all domains. We also evaluated the popularity of each app. RESULTS:A total of 2379 apps were found, and 127 met the inclusion criteria. The mean total score of the apps was 14.23?±?3.93. The mean scores of scientific basis, functionality and usability, and accountability were 5.51?±?2.58, 2.90?±?1.84, and 2.90?±?1.84. The scientific scores of apps that could connect to other devices were higher than those of apps that worked alone (mean score: 5.26 vs. 4.17, P?

SUBMITTER: Xu ZF

PROVIDER: S-EPMC6858766 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

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Quality analysis of smart phone sleep apps in China: can apps be used to conveniently screen for obstructive sleep apnea at home?

Xu Zhao-Feng ZF Luo Xin X Shi Jianbo J Lai Yinyan Y

BMC medical informatics and decision making 20191115 1

<h4>Background</h4>Obstructive sleep apnea (OSA) is a sleep disorder with a high prevalence in China. Standard diagnosis of OSA requires polysomnography (PSG). Currently, smart phone applications (apps) are widely used as an important source of health guidance. However, the quality of the information provided by these apps has not been carefully assessed.<h4>Methods</h4>We searched for sleep apps available in China. We designed an evaluation scale that included scientific, functionality and usab ...[more]

PMID: 31730487

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Project description:Study objectivesThe objective of the study is to validate the performance of Belun Ring Platform, a novel home sleep apnea testing system using a patented pulse oximeter sensor and a proprietary cloud-based neural networks algorithm.MethodsThe Belun Ring captures oxygen saturation, photoplethysmography, and accelerometer signals. The Belun Ring total sleep time is derived from features extracted from accelerometer, oxygen saturation, and photoplethysmography signals. The Belun Ring respiratory event index is derived from Belun Ring total sleep time and features extracted from heart rate variability and oxygen saturation changes. A total of 50 adults without significant cardiopulmonary or neuromuscular comorbidities and heart rate affecting medications were evaluated. In-lab sleep studies were performed simultaneously with the Ring and the studies were manually scored using the American Academy of Sleep Medicine Scoring Manual 4% desaturation criteria.ResultsThe Belun Ring respiratory event index correlated well with the polysomnography-apnea-hypopnea index (AHI; r = .894, P < .001). The sensitivity and specificity in categorizing AHI ≥ 15 events/h were 0.85 and 0.87, respectively, and the positive predictive value and negative predictive value were 0.88 and 0.83, respectively. The Belun Ring total sleep time also correlated well with the polysomnography-total sleep time (r = .945, P < .001). Although the Belun Ring Platform has a good overall performance, it tends to overestimate AHI in individuals with AHI under 15 events/h and underestimate AHI in those with AHI over 15 events/h. Conclusions: In this proof-of-concept study, the Belun Ring Platform demonstrated a reasonable accuracy in predicting AHI and total sleep time in patients without significant comorbidities and heart rate-affecting medications.Clinical trial registrationRegistry: ClinicalTrials.gov; Name: Validation of a Novel Device for Screening Patients With Symptoms of Obstructive Sleep Apnea; URL: https://clinicaltrials.gov/ct2/show/NCT04121923; Identifier: NCT04121923.

Dataset Information

Quality analysis of smart phone sleep apps in China: can apps be used to conveniently screen for obstructive sleep apnea at home?

Publications

Quality analysis of smart phone sleep apps in China: can apps be used to conveniently screen for obstructive sleep apnea at home?

Similar Datasets

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