A systematic review of remote otological assessment using video-otoscopy over the past 10 years: reliability and applications
Autor: | Christopher Metcalfe, Christopher Coulson, Linda Orr, Jameel Muzaffar |
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Rok vydání: | 2021 |
Předmět: |
Smartphone otoscopy
Technology medicine.medical_specialty Video Recording Otology Tele-otoscopy Otoscopy Telehealth Video-otoscopy 03 medical and health sciences 0302 clinical medicine medicine Humans Tele-otology Medical physics Ear Diseases 030223 otorhinolaryngology Reliability (statistics) Descriptive statistics business.industry Reproducibility of Results General Medicine Telemedicine Otorhinolaryngology 030220 oncology & carcinogenesis Healthcare settings Head and neck surgery business |
Zdroj: | European Archives of Oto-Rhino-Laryngology |
ISSN: | 1434-4726 0937-4477 |
DOI: | 10.1007/s00405-020-06596-2 |
Popis: | Purpose This systematic review describes and evaluates the current literature on remote otological assessment using video-otoscopy with regards to reliability and potential applications. Methods Systematic review was conducted in accordance with the PRISMA statement. There was heterogeneity of included studies, so a descriptive analysis was undertaken. Results Seventeen studies were included for analysis conducted across a variety of healthcare settings. Overall, there was a trend towards acquisition of adequate images for diagnosis by non-otolaryngology-specialist facilitators with reasonable agreement between asynchronous images and controls; however, there was significant variation between the studies. Conclusion Remote otological assessment using video-otoscopy shows potential as a safe and effective method for detecting the presence of ear disease in a wide range of healthcare settings. Barriers to the acquisition of adequate images include the presence of obstructing cerumen, and strategies to deal with this should be considered. Further work is required to evaluate endoscope-based systems to assess whether they will allow the acquisition of higher quality images. |
Databáze: | OpenAIRE |
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