View clinical trials related to Hearing Loss.
Filter by:To prospectively examine the relations between adherence scores for three healthful dietary patterns, the Alternate Mediterranean diet (AMED), the Dietary Approaches to Stop Hypertension (DASH), and the Alternative Healthy Eating Index (AHEI-2010), and risk of hearing loss in the Nurses' Health Study II.
The purpose of this study is to gather clinical performance data on the Baha SoundArc
a multicenter, double-blind, placebo-controlled study in patients with Sudden Sensorineural Hearing Loss (SSHL). Patients will be treated with STR001 thermogel (STR001-IT) / STR001 tablets (STR001-ER) and corresponding Placebo on top of standard of care.
Age-related hearing loss (ARHL) is the third most common health condition affecting older adults after heart disease and arthritis and is the fifth leading cause of years lived with disability worldwide. Many hearing-impaired older adults avoid or withdraw from social contexts in which background noise will make it difficult to communicate, resulting in social isolation and reduced communication with family and friends.Social isolation and loneliness have been linked to numerous adverse physical and mental health outcomes, including dementia, depression, and mortality, and they may also lead to declining physical activity and the development of the syndrome of frailty. In this project it is hypothesized that untreated ARHL represents a distinct route to developing Late-life Depression (LLD) and that individuals with comorbid ARHL/LLD are unlikely to respond to treatments (i.e., antidepressant medication) that do not treat the underlying hearing problem. Initial studies suggest remediation of hearing loss using hearing aids or cochlear implantation may decrease depressive symptoms acutely and over the course of 6 to 12 months follow-up. However, the clinical significance of these findings is obscured by lack of rigorous control groups, failure to objectively document hearing aid compliance, and enrollment of study populations lacking syndromal depression or even a threshold symptom score.
Hearing Loss (HL) affects over 5% of the world's population (WHO 2014) and is the 5th leading cause of Years Lived with Disability. HL is currently managed with Hearing Aids (HAs), i.e. programmable sound amplification devices that are worn by the hearing impaired subjects to address their hearing difficulties. HA use however is often problematic, costly and with poor overall benefits. The holistic management of HL requires appropriate public health policies for HL prevention, early diagnosis, long-term treatment and rehabilitation; detection and prevention of cognitive decline; and socioeconomic inclusion of HL patients. Currently the evidential basis for forming such policies is limited. The EVOTION project proposes to address this by collecting and analysing a big set of heterogeneous data, including HA usage, audiological, physiological, cognitive, clinical and medication, personal, behavioural, life style, occupational and environmental data. This will be done by: i. accessing big datasets of existing HA user data from the EVOTION clinical partners (UCL/UCLH and GST in the UK; OTICON in Denmark) ii. collection of prospective HA user data who will be recruited to the prospective EVOTION study and who will undergo some additional assessments iii. collection of real time dynamic data of the human participant HA users who will be given a smart phone with different apps (auditory tests; auditory training), sensors (recording of heart rate, blood pressure, respiratory rate etc.) and smart HAs (recording environmental factors such as noise levels, type of noise etc.) so that real life contextual factors that affect HA usage and outcome can be identified. These data will be analysed with big data analysis/data mining techniques in order to identify relationships between these in order to use this information to derive and support public health decisions.
Hearing loss is a common health problem in Alaska. Up to 75% of children growing up in Alaskan villages experience frequent ear infections, one of the major treatable causes of hearing loss. Children with even mild hearing loss face many challenges. These children often experience speech and language delays and have trouble in school. Teens with hearing loss are more likely to drop out of school, and are at risk for having difficulty finding jobs as adults. Promptly diagnosing and treating hearing loss is important for preventing these consequences. Alaska mandates school-based hearing screening, but many children with hearing loss are not identified by the current screening protocol, and most who are referred never make it into the healthcare system for diagnosis and treatment. Alaska has already developed innovative strategies to address hearing loss. A network of village health clinics staffed by community health aides provide local care, and telemedicine has been adopted in over 250 village clinics statewide. Despite being widely available, telemedicine has not yet been used in school hearing screenings to speed up the referral process. Norton Sound Health Corporation has partnered with Duke and Johns Hopkins Universities to explore whether a new school screening and referral process that incorporates mobile, or mHealth, screening and telemedicine referral will reduce childhood hearing loss disparities in the Norton Sound region. Children from kindergarten through 12th grade in 15 Norton Sound villages will receive the current school screening protocol and the new mHealth screen. Villages will then be randomized to continue the current primary care referral process or to adopt telemedicine referral for school screenings. The investigators hypothesize that the new mHealth screening protocol will identify more children with hearing loss, and telemedicine referral will reduce time to diagnosis. By better identifying hearing loss and speeding up diagnosis and treatment, the investigators expect the burden of childhood hearing loss to drop, hearing-related quality of life to improve, and school performance to improve in villages with telemedicine referral compared to current primary care referral villages. If the study shows these positive effects, mHealth screening and the telemedicine referral process could be implemented in school districts across the state of Alaska to reducing childhood hearing loss disparities statewide.
Use of Artificial Intelligent (AI) technology to assist audiologists in programming cochlear implants.
This is a phase 1 safety study performed in male or female adult participants with an established diagnosis of severe to profound sensorineural hearing loss that meets the criteria for cochlear implantation and the participant has already chosen to undergo cochlear implant surgery.
The aim of this descriptive study is to collect and describe the characteristics of objective measures to explore the specificity of algorithms.
Investigation of stability of the BHX implant in adult patients indicated and counselled for a bone anchored hearing aid system. Patients are followed according to clinical practice for a total of 12 months in the study. Stability of the implant is evaluated by implant stability quotient.