Diagnostic and Treatment in Voice Therapy

This book outlines modern multidimensional-quantitative methods in voice diagnosis grounded in EBM evidence and proposes a minimum standard for voice diagnostics. Recent scientific findings provide speech-language pathologists, voice therapists, and otolaryngologists with new opportunities for the medical and therapeutic care of voice patients. Voice diagnostics and treatments for diverse voice disorders can be better integrated to apply structured clinical reasoning in voice treatment. From the Content: - Voice Disorders: a brief overview - Quantitative Measurements in Voice Diagnostic - Documentation and Objectives - Clinical Reasoning: The Path to Effective and Efficient Primary Treatment - Treatments for Voice Disorders based on EBM Criteria - Case Studies and Glossary Additionally, numerous videos, audios, and downloadable materials support practical implementation, including a voice examination protocol for interpreting voice parameters, assessing dysphonia severity, and suggestions for critical voice treatment parameters. This serves as a guide for otolaryngologists, voice therapists, and speech-language pathologists, and is an ideal reference for trainees, students, and beginners. The Authors Prof. Ben Barsties v. Latoszek, PhD, is a speech-language pathologist and medical scientist specializing in voice and its disorders. He is professor at the SRH University of Applied Health Sciences in Düsseldorf, Leverkusen, and Bonn. Prof. Andreas Müller, MD, is a specialist in otolaryngology with a focus on the diagnosis and treatment of laryngeal diseases and is the chief physician of the Department of ENT Medicine and Plastic Surgery at SRH Wald-Klinikum Gera. Ahmed Nasr, MD, is a specialist in phoniatrics and pediatric audiology (voice, speech, and childhood hearing disorders), head of the phoniatrics section, and senior physician in the otolaryngology clinic of Schwarzwald-Baar Klinikum in Villingen-Schwenningen, as well as the owner of TheVoice Clinic Germany. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.