Desenvolvimento e acurácia de um aplicativo móvel para rastreio auditivo

Detalhes bibliográficos
Ano de defesa: 2018
Autor(a) principal: Bauer, Magda Aline lattes
Orientador(a): Bós, Ângelo José Gonçalves lattes
Banca de defesa: Não Informado pela instituição
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Pontifícia Universidade Católica do Rio Grande do Sul
Programa de Pós-Graduação: Programa de Pós-Graduação em Gerontologia Biomédica
Departamento: Escola de Medicina
País: Brasil
Palavras-chave em Português:
Área do conhecimento CNPq:
Link de acesso: http://tede2.pucrs.br/tede2/handle/tede/8501
Resumo: Hearing is considered a complex function, and it is essential to processing acoustic events and to producing and understanding speech signs. Hearing loss (HL) can be caused by several factors and the implications vary due to type, degree and age of occurrence. HL diagnosis and rehabilitation need to take place early, during all stages of life. In this sense, hearing triage should be a be a usual procedure, one to convey the preclinical assessment and the proper follow through, in order to avoid the consequences brought by the deprivation of this sense. Currently, triage is conducted through standard surveys or through simplified hearing tests. These instruments do not aim to determine hearing edges, but to identify the possibility of HL in the individual. Therefore, mobile applications (app) represent a good alternative. However, there is not a national app that is both complete and verified. For this reason, our objective was to develop an app, assessing its performance in identifying HL, and also comparing it with another verified tracking device. App, named “Ouviu”, was developed by applying audiology knowledge and the tools available in the iOS platform. One hundred five participants were assessed, from 6 to 96 years old, classified into 5 age groups. The audiometric in all participants was performed through 2 devices: HearCheck and app. The results have shown, among other, that the app sensitivity to identify HL was close to 97%, while HearCheck was 79%. The predictive positive value of app demonstrated that the probability of an individual to be identified with HL was 94%, while HearCheck was 96%. False negatives, which missed HL identification, were fewer with app (3%) than HearCheck (21%). So, the app developed has proved to be efficient as a hearing tracking device, being more effective than HearCheck in the sight HL identification. Besides being portable, easy to handle, less expensive and quick to use, app has as an advantage of evaluating environment noise during the exam, and, also, it does not require any hardware to connect to the mobile device.