Teledentistry during COVID-19 pandemic: scientometric and content analysis approach.
BMC Health Serv Res
; 22(1): 1111, 2022 Sep 01.
Article
in English
| MEDLINE | ID: covidwho-2009394
ABSTRACT
INTRODUCTION:
During Covid-19 pandemic, people have been reluctant to visit dentist due to the fear of infection. Dentists have also suffered from severe turmoil. Teledentistry has been considered as a key strategy for managing people's oral health. The aim of this study was to investigate teledentistry services in the world during the Covid-19 pandemic and to learn from different experiences. MATERIALS ANDMETHODS:
The Web of Science database was searched by scientometric analysis approach, using keywords such as Covid-19, telemedicine, teledentistry and synonymous keywords derived from MeSH. Consequently, 94 articles were extracted from which, 15 articles related to teledentistry during Covid-19 were included in the study, considering the inclusion and exclusion criteria.RESULTS:
Scientometric analysis and illustration of retrieved articles were performed to identify authors, organizations and countries, and to review cooperation and collaboration networks in this field. Teledentistry was studied during Covid-19 in countries such as China, United States, Japan, Italy and United Kingdom. Types of the software used for communication between dentists and patients were WeChat, BigWord telephone translator, iGAM, WhatsApp, Attend Anywhere (AA), DeRS. The software used for data storage were Mouthwatch TeleDent, and Proforma. For data processing and decision making decision tree algorithms, automated algorithms were employed.CONCLUSION:
Teledentistry has the potential to improve the provision of dental services. A fundamental review and careful planning is required to provide such services, particularly in developing countries. Furthermore teledentistry needs more in-depth studies in order to overcome existing and future obstacles and risks while taking advantage of its benefits.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Telemedicine
/
COVID-19
Type of study:
Observational study
/
Prognostic study
/
Qualitative research
Limits:
Humans
Country/Region as subject:
North America
Language:
English
Journal:
BMC Health Serv Res
Journal subject:
Health Services Research
Year:
2022
Document Type:
Article
Affiliation country:
S12913-022-08488-z
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