» Articles » PMID: 34738911

Digital Health and Digital Learning Experiences Across Speech-Language Pathology, Phoniatrics, and Otolaryngology: Interdisciplinary Survey Study

Overview
Journal JMIR Med Educ
Publisher JMIR Publications
Date 2021 Nov 5
PMID 34738911
Citations 6
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Advances in digital health and digital learning are transforming the lives of patients, health care providers, and health professional students. In the interdisciplinary field of communication sciences and disorders (CSD), digital uptake and incorporation of digital topics and technologies into clinical training programs has lagged behind other medical fields. There is a need to understand professional and student experiences, opinions, and needs regarding digital health and learning topics so that effective strategies for implementation can be optimized.

Objective: This cross-sectional survey study aims to interdisciplinarily investigate professional and student knowledge, use, attitudes, and preferences toward digital health and learning in the German-speaking population.

Methods: An open-ended, web-based survey was developed and conducted with professionals and students in CSD including phoniatricians and otolaryngologists, speech-language pathologists (German: Logopäd*innen), medical students, and speech-language pathology students. Differences in knowledge, use, attitudes, and preferences across profession, generation, and years of experience were analyzed.

Results: A total of 170 participants completed the survey. Respondents demonstrated greater familiarity with digital learning as opposed to eHealth concepts. Significant differences were noted across profession (P<.001), generation (P=.001), and years of experience (P<.001), which demonstrated that students and younger participants were less familiar with digital health terminology. Professional (P<.001) and generational differences were also found (P=.04) in knowledge of digital therapy tools, though no significant differences were found for digital learning tools. Participants primarily used computers, tablets, and mobile phones; non-eHealth-specific tools (eg, word processing and videoconferencing applications); and digital formats such as videos, web courses, and apps. Many indicated a desire for more interactive platforms, such as virtual reality. Significant differences were found across generations for positive views toward digitalization (P<.001) and across profession for feelings of preparedness (P=.04). Interestingly, across profession (P=.03), generation (P=.006), and years of experience (P=.01), students and younger participants demonstrated greater support for medical certification. Commonly reported areas of concern included technical difficulties, quality and validity of digital materials, data privacy, and social presence. Respondents tended to prefer blended learning, a limited to moderate level of interactivity, and time and space-flexible learning environments (63/170, 37.1%), with a notable proportion still preferring traditional time and space-dependent learning (49/170, 28.8%).

Conclusions: This comprehensive investigation into the current state of CSD student and professional opinions and experiences has shown that incorporation of digital topics and skills into academic and professional development curricula will be crucial for ensuring that the field is prepared for the ever-digitalizing health care environment. Deeper empirical investigation into efficacy and acceptance of digital learning and practice strategies and systematic training and practical organizational supports must be planned to ensure adaptive education and practice.

Citing Articles

Exploring the perspectives of health care professionals on digital health technologies in pediatric care and rehabilitation.

Roy I, Salles J, Neveu E, Lariviere-Bastien D, Blondin A, Levac D J Neuroeng Rehabil. 2024; 21(1):156.

PMID: 39261920 PMC: 11391714. DOI: 10.1186/s12984-024-01431-9.


Therapies go digital. What drives physicians' acceptance?.

Carrera A, Lettieri E, Lietti G, Martignoni S, Sgarbossa C, Cafazzo J PLoS One. 2024; 19(5):e0303302.

PMID: 38728346 PMC: 11086840. DOI: 10.1371/journal.pone.0303302.


What works, how and in which contexts when supporting parents to implement intensive speech and language therapy at home for children with speech sound disorder? A protocol for a realist review.

Leafe N, Pagnamenta E, Taggart L, Donnelly M, Hassiotis A, Titterington J BMJ Open. 2024; 14(1):e074272.

PMID: 38184311 PMC: 10773357. DOI: 10.1136/bmjopen-2023-074272.


Survey on digital dependency, writing by hand, and group learning as learning styles among Japanese medical students: Assessing correlations between various accomplishments.

Komasawa N, Takitani K, Lee S, Terasaki F, Nakano T J Educ Health Promot. 2023; 12:204.

PMID: 37546007 PMC: 10402773. DOI: 10.4103/jehp.jehp_912_22.


Artificial intelligence education for radiographers, an evaluation of a UK postgraduate educational intervention using participatory action research: a pilot study.

van de Venter R, Skelton E, Matthew J, Woznitza N, Tarroni G, Hirani S Insights Imaging. 2023; 14(1):25.

PMID: 36735172 PMC: 9897152. DOI: 10.1186/s13244-023-01372-2.


References
1.
Wiederhold B . Connecting Through Technology During the Coronavirus Disease 2019 Pandemic: Avoiding "Zoom Fatigue". Cyberpsychol Behav Soc Netw. 2020; 23(7):437-438. DOI: 10.1089/cyber.2020.29188.bkw. View

2.
Bahner D, Adkins E, Patel N, Donley C, Nagel R, Kman N . How we use social media to supplement a novel curriculum in medical education. Med Teach. 2012; 34(6):439-44. DOI: 10.3109/0142159X.2012.668245. View

3.
Freiherr von Sass P, Klenzner T, Scheckenbach K, Chaker A . [E-learning in ENT: Usage in University Medical Centers in Germany]. Laryngorhinootologie. 2017; 96(3):175-179. DOI: 10.1055/s-0042-117640. View

4.
Jamal A, Temsah M, Khan S, Al-Eyadhy A, Koppel C, Chiang M . Mobile Phone Use Among Medical Residents: A Cross-Sectional Multicenter Survey in Saudi Arabia. JMIR Mhealth Uhealth. 2016; 4(2):e61. PMC: 4891571. DOI: 10.2196/mhealth.4904. View

5.
Carter M . The effects of computer-based simulations on speech-language pathology student performance. J Commun Disord. 2019; 77:44-55. DOI: 10.1016/j.jcomdis.2018.12.006. View