Evaluation and Management of Misophonia Using a Hybrid Telecare Approach: A Case Report

2021 ◽  
Vol 42 (02) ◽  
pp. 123-135
Author(s):  
Lori Zitelli
Keyword(s):  
Case Report ◽  
Adult Female ◽  
Hybrid Approach ◽  
Negative Reaction ◽  
Tinnitus Retraining Therapy ◽  
Environmental Sounds ◽  
Retraining Therapy ◽  
Future Care ◽  
Detailed Assessment ◽  
The Impact

AbstractDecreased sound tolerance (DST) is a negative reaction to environmental sounds and is estimated to affect 3.5% of the population. This case report presents the evaluation and management of an adult female with severe, longstanding misophonia. Her evaluation included comprehensive audiometric testing (including uncomfortable loudness levels) and a detailed assessment of the impact of DST on her life. She enrolled in tinnitus retraining therapy and began receiving treatment aiming to facilitate habituation of bothersome environmental sounds. This case was complicated by the advent of the coronavirus disease 2019 (COVID-19) pandemic and a telemedicine hybrid approach was employed to increase access to audiologic care. Using this structure, some appointments occurred in person in the clinic and others occurred via a telemedicine video visit format. Telemedicine video visits facilitated in-depth discussions, afforded the opportunity to answer questions, and provided the option of cloud-based remote programming of on-ear devices. Future care will continue to employ a hybrid approach.

Evaluation and Management of Severe Tinnitus: An Evidence-Based Case Report

2021 ◽  
Vol 6 (1) ◽  
pp. 130-142
Author(s):  
Lori Zitelli
Keyword(s):  
Quality Of Life ◽  
Case Report ◽  
Negative Impact ◽  
Well Being ◽  
Tinnitus Retraining Therapy ◽  
Sound Therapy ◽  
Retraining Therapy ◽  
The Impact ◽  
Severe Tinnitus

Purpose Tinnitus is reported by millions of Americans and is significantly problematic for many people. Commonly, individuals suffering from tinnitus report disturbances in the areas of sleep, hearing, emotional well-being, and so forth. This case report presents the evaluation and treatment of an adult female with severe tinnitus and multiple relevant comorbidities. This case includes the onset, evaluation, and management of significantly bothersome tinnitus in a 60-year-old woman. Tinnitus was first reported after she was treated with an Epley maneuver intended to resolve benign paroxysmal positional vertigo. An evaluation of tinnitus (including a comprehensive audiometric evaluation, an assessment of the impact of tinnitus on her life, and psychoacoustic measures of tinnitus perception) was completed. The tinnitus was reported to have a severely negative impact on her overall health, mental state, and quality of life. Method This patient opted to manage her tinnitus with a combination of pharmaceuticals, sound therapy, and education (the latter two in the form of tinnitus retraining therapy). Results The course of her active treatment spanned approximately 18 months, and, at the completion of her treatment, she demonstrated significant improvements in all areas of her life that had been impacted by tinnitus. She has become an active advocate for tinnitus management and has made herself available as a resource for other individuals who are struggling to cope with intrusive tinnitus. Conclusion Tinnitus retraining therapy is a treatment option that may significantly improve the quality of life of individuals suffering from severely bothersome tinnitus.

scholarly journals The Tinnitus Retraining Therapy Counseling Protocol as Implemented in the Tinnitus Retraining Therapy Trial

2020 ◽  
pp. 1-15
Author(s):  
Susan L. Gold ◽  
Craig Formby ◽  
Roberta W. Scherer
Keyword(s):  
Standard Of Care ◽  
Historical Background ◽  
Clinical Implementation ◽  
Tinnitus Retraining Therapy ◽  
Hearing Sensitivity ◽  
Care Protocol ◽  
Retraining Therapy ◽  
Therapy Trial ◽  
The Impact ◽  
To Receive

Purpose This clinical focus article is a companion to the work of Erdman et al. (2019), in which we described the rationale, development, and implementation of the standard-of-care protocol used in the Tinnitus Retraining Therapy Trial (TRTT), a multicenter, placebo-controlled, randomized, definitive efficacy trial of tinnitus retraining therapy (TRT). We now describe the historical background, development, and standardized implementation and delivery of the TRT counseling protocol (tinnitus counseling [TC]) used in the TRTT. TC is conjectured to be the key component in the TRT protocol for initiating the habituation process that reduces the response to the tinnitus signal and, ultimately, reduces its impact. In the TRTT, participants assigned to receive TC achieved > 30% reduction in the impact of tinnitus. Method and Results The design and implementation of standardized treatments in multisite randomized controlled trials presents many challenges for investigators. Here, subsequent to presenting the background, rationale, and the TRT protocol model, we describe the development, refinement, and training/certification for standardized delivery of TC in the TRTT. The primary challenges encountered while distilling and streamlining TC for standardized delivery across multiple clinicians and their replacements at six participating military treatment centers in the TRTT are considered, and the resulting counseling protocol is detailed. Conclusions The standardized and streamlined TC used in the TRTT was successful for treating debilitating tinnitus among persons with functionally adequate unaided hearing sensitivity. The structured TC protocol described here appears to be the main determinant of the significant and sizable TRT treatment effects measured in the TRTT, thus bolstering the merits of this standardized counseling approach as one model for the clinical implementation of TRT for the treatment of primary tinnitus.

Tinnitus Retraining Therapy

2004 ◽  
Author(s):  
Pawel J. Jastreboff ◽  
Jonathan W. P. Hazell
Keyword(s):  
Tinnitus Retraining Therapy ◽  
Retraining Therapy

Malignant insulinoma in an adult female: diagnosis and treatment challenge. A case report

2020 ◽  
Author(s):  
Daniel Cosma ◽  
Silaghi Cristina Alina ◽  
Mihaela Mocan ◽  
Sorin Barbu ◽  
Veresiu Loan Andrei
Keyword(s):  
Case Report ◽  
Adult Female ◽  
Diagnosis And Treatment ◽  
Malignant Insulinoma

Are e-learning Webinars the future of medical education? An exploratory study of a disruptive innovation in the COVID-19 era

2020 ◽  
pp. 1-10
Author(s):  
Colin J. McMahon ◽  
Justin T. Tretter ◽  
Theresa Faulkner ◽  
R. Krishna Kumar ◽  
Andrew N. Redington ◽  
...  
Keyword(s):  
Deep Learning ◽  
Carbon Footprint ◽  
Quantitative Research ◽  
Survey Design ◽  
Hybrid Approach ◽  
Disruptive Innovation ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
E Learning ◽  
The Impact

Abstract Objective: This study investigated the impact of the Webinar on deep human learning of CHD. Materials and methods: This cross-sectional survey design study used an open and closed-ended questionnaire to assess the impact of the Webinar on deep learning of topical areas within the management of the post-operative tetralogy of Fallot patients. This was a quantitative research methodology using descriptive statistical analyses with a sequential explanatory design. Results: One thousand-three-hundred and seventy-four participants from 100 countries on 6 continents joined the Webinar, 557 (40%) of whom completed the questionnaire. Over 70% of participants reported that they “agreed” or “strongly agreed” that the Webinar format promoted deep learning for each of the topics compared to other standard learning methods (textbook and journal learning). Two-thirds expressed a preference for attending a Webinar rather than an international conference. Over 80% of participants highlighted significant barriers to attending conferences including cost (79%), distance to travel (49%), time commitment (51%), and family commitments (35%). Strengths of the Webinar included expertise, concise high-quality presentations often discussing contentious issues, and the platform quality. The main weakness was a limited time for questions. Just over 53% expressed a concern for the carbon footprint involved in attending conferences and preferred to attend a Webinar. Conclusion: E-learning Webinars represent a disruptive innovation, which promotes deep learning, greater multidisciplinary participation, and greater attendee satisfaction with fewer barriers to participation. Although Webinars will never fully replace conferences, a hybrid approach may reduce the need for conferencing, reduce carbon footprint. and promote a “sustainable academia”.

scholarly journals Droplet impact onto a spring-supported plate: analysis and simulations

2021 ◽  
Vol 128 (1) ◽  
Author(s):  
Michael J. Negus ◽  
Matthew R. Moore ◽  
James M. Oliver ◽  
Radu Cimpeanu
Keyword(s):  
High Speed ◽  
Flexible Substrate ◽  
Practical Importance ◽  
Hybrid Approach ◽  
Hydrodynamic Pressure ◽  
Analytical Framework ◽  
Canonical System ◽  
Linear Process ◽  
Plate Motion ◽  
The Impact

AbstractThe high-speed impact of a droplet onto a flexible substrate is a highly non-linear process of practical importance, which poses formidable modelling challenges in the context of fluid–structure interaction. We present two approaches aimed at investigating the canonical system of a droplet impacting onto a rigid plate supported by a spring and a dashpot: matched asymptotic expansions and direct numerical simulation (DNS). In the former, we derive a generalisation of inviscid Wagner theory to approximate the flow behaviour during the early stages of the impact. In the latter, we perform detailed DNS designed to validate the analytical framework, as well as provide insight into later times beyond the reach of the proposed analytical model. Drawing from both methods, we observe the strong influence that the mass of the plate, resistance of the dashpot, and stiffness of the spring have on the motion of the solid, which undergo forced damped oscillations. Furthermore, we examine how the plate motion affects the dynamics of the droplet, predominantly through altering its internal hydrodynamic pressure distribution. We build on the interplay between these techniques, demonstrating that a hybrid approach leads to improved model and computational development, as well as result interpretation, across multiple length and time scales.

scholarly journals The impact of mental health on COVID 19 disease progression: Case report

2021 ◽  
pp. 102543
Author(s):  
Amine Bouabdallaoui ◽  
Salma Taouihar ◽  
Ghizlane El Aidouni ◽  
Mohamed Aabdi ◽  
Rajae Alkouh ◽  
...  
Keyword(s):  
Mental Health ◽  
Case Report ◽  
Disease Progression ◽  
The Impact

scholarly journals Desmoplastic fibroma of the occipital bone in adult female: A case report

2021 ◽  
Vol 24 ◽  
pp. 101124
Author(s):  
Mohamed Kh. Elbadawy ◽  
Mahmoud M. Taha ◽  
Tarek H. AbdelBary
Keyword(s):  
Case Report ◽  
Adult Female ◽  
Occipital Bone ◽  
Desmoplastic Fibroma

scholarly journals Offensive keyword extraction based on the attention mechanism of BERT and the eigenvector centrality using a graph representation

2021 ◽  
Author(s):  
Gretel Liz De la Peña Sarracén ◽  
Paolo Rosso
Keyword(s):  
Language Model ◽  
Hybrid Approach ◽  
Attention Mechanism ◽  
Graph Representation ◽  
Keyword Extraction ◽  
Eigenvector Centrality ◽  
Model Learning ◽  
Harmful Content ◽  
The Impact ◽  
Offensive Language

AbstractThe proliferation of harmful content on social media affects a large part of the user community. Therefore, several approaches have emerged to control this phenomenon automatically. However, this is still a quite challenging task. In this paper, we explore the offensive language as a particular case of harmful content and focus our study in the analysis of keywords in available datasets composed of offensive tweets. Thus, we aim to identify relevant words in those datasets and analyze how they can affect model learning. For keyword extraction, we propose an unsupervised hybrid approach which combines the multi-head self-attention of BERT and a reasoning on a word graph. The attention mechanism allows to capture relationships among words in a context, while a language model is learned. Then, the relationships are used to generate a graph from what we identify the most relevant words by using the eigenvector centrality. Experiments were performed by means of two mechanisms. On the one hand, we used an information retrieval system to evaluate the impact of the keywords in recovering offensive tweets from a dataset. On the other hand, we evaluated a keyword-based model for offensive language detection. Results highlight some points to consider when training models with available datasets.

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