Rapid Implementation of Teletherapy for Voice Disorders: Challenges and Opportunities for Speech-Language Pathologists.
J Voice
; 2023 Aug 01.
Article
em En
| MEDLINE
| ID: mdl-37537109
ABSTRACT
INTRODUCTION:
The COVID-19 pandemic necessitated a rapid restructuring of the clinical management of voice and upper airway disorders by speech-language pathologists (SLPs). As in-person therapy sessions were suspended, voice-specialized SLPs across healthcare settings shifted to online teletherapy. In this survey study, we queried voice therapists on their experiences with and opinions regarding the adoption of teletherapy into routine clinical practice.METHODS:
Voice-specialized SLPs were recruited nationwide to complete an online survey which included questions about the usability of software and hardware, patient management, the effectiveness of therapy, overall satisfaction, and suggestions for improvement.RESULTS:
48 participants completed the survey. The majority of respondents reported frequent technical difficulties and poor access to or understanding of appropriate equipment. Overall, participants endorsed better patient access, attendance, and compliance, as well as increased scheduling flexibility. While 95% of the respondents stated they would recommend teletherapy to another SLP, only 20% supported a shift to exclusively virtual sessions. Forty percent of respondents endorsed a hybrid model consisting of initial in-person sessions followed by virtual ones.DISCUSSION:
Incorporating teletherapy into clinical voice practice has, for the most part, followed Carl May's normalization process theory framework, in that clinicians have invested understanding, training, time and effort, and appraisal into its implementation. However, the unusually rapid pace of change necessitated by the pandemic has presented its own set of challenges. Given the inherent conveniences of virtual therapy, the online modality is likely here to stay. It is critical that we understand the facilitators and barriers to its successful adoption.
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Base de dados:
MEDLINE
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article