OSAsense can be used by medical professionals and organizations (e.g., for occupational physicians, insurance physicians) who wish to conduct preventive sleep apnea screening in high-risk populations. Preventive OSAS screening can help prevent irreversible OSAS-related comorbidities.
OSAsense can be used as a case finding tool in patient populations under treatment for a condition at high risk for sleep apnea or sleep apnea-related comorbidity.
OSAsense offers a cheaper, faster and more patient-friendly alternative to measure the effect of apnea treatment.
GPs are using OSAsense as a low-threshold screening tool when sleep apnea is suspected. With OSAsense, GPs reduce the number of patients undergoing costly sleep studies unnecessarily and provide opportunities for the group of people who have been dealing with sleep apnea-related symptoms for years.
Currently in the Netherlands, OSAsense is currently being used in several regions as a screening tool in primary care. Health insurance companies reimburse the use of OSAsense in this setting.
Thanks to the use of OSAsense, waiting times at sleep centers are shortening. The freed up capacity can be used more effectively for diagnostics and treatment.
The NHG's Atrial Fibrillation (AF) guideline states that research should be done on modifiable risk factors of AF, including sleep apnea. The OSAsense offers a nice low-threshold solution for this. At the Tergooi hospital, they already apply the screening successfully, see article: "Quest for improved screening for obstructive sleep apnea in atrial fibrillation".
Occupational physicians use OSAsense to quickly and easily screen employees for sleep apnea. As a result, faster diagnostics take place, allowing employees to receive appropriate treatment sooner. This not only promotes the recovery process, but also enables employees to return to work quickly and effectively.
Possible chain integration with OSAsense
This measurement is performed at the patient's home and its main purpose is to quantify nocturnal dips in oxygen saturation. For this purpose, the so-called oxygen desaturation index (ODI) is used.
It has several purposes, including estimating the likelihood of sleep apnea, objectifying (semi-quantitatively) the severity of symptoms, and obtaining indications of any alternative as an explanation for the symptoms.
After completion of the questionnaire and a complete overnight pulse oximetry, an opinion/result is generated.
The OSAsense service consists of a validated online questionnaire and an overnight saturation measurement, also known as pulse oximetry. The pulse oximeter used is shaped like a watch and measures the percentage of oxygen in the blood during sleep. Based on the questionnaire and saturation measurement, the OSAsense algorithm is able to detect sleep apnea with a sensitivity and specificity of ~100% and >70%, respectively. When general practitioners use OSAsense before referring patients to a sleep center, there are two benefits:
In December 2015, we applied for a validation study to prospectively validate the OSAsense algorithm in approximately 150 patients. The study was approved by the local Medical Ethical Review Committee (METC) and registered in the Dutch Trial-Register (NL5013/NTR5786). To fund the study, we received financial support from health insurer Menzis under the Pioneers in Healthcare Voucher (PIHC). The initial OSAsense algorithm was developed in collaboration with the sleep center of the Medisch Spectrum Twente (MST) in Enschede based on data from more than 3,500 patients.
The OSAsense platform was developed as a state-of-the-art cloud platform. We designed the development of the online platform using strict guidelines regarding security and privacy.
The data collected from the night-time saturation measurement is transmitted via a secure connection to the OSAsense platform. OSAsense uses a special algorithm that interprets and evaluates saturation and acceleration data.
The OSAsense-S18 pulse oximeter is designed specifically for the OSAsense service. The device is unique in the way it stores measured data. This makes it possible to screen for sleep apnea with high accuracy and opens up new possibilities for research and diagnostics.