Article ; Online: Research on the service quality of emergency medical language services during major unexpected public health events.
2023 Volume 11, Page(s) 1169222
Abstract: Introduction: Emergency Medical Language Services (EMLS) have played a crucial role in the COVID-19 pandemic. Research on the quality and its influencing factors of EMLS is necessary.: Methods: This study used the SERvice QUALity (SERVQUAL) model to ... ...
Abstract | Introduction: Emergency Medical Language Services (EMLS) have played a crucial role in the COVID-19 pandemic. Research on the quality and its influencing factors of EMLS is necessary. Methods: This study used the SERvice QUALity (SERVQUAL) model to determine factors affecting the quality of EMLS during the pandemic. An online questionnaire was completed by 206 participants who received the service in 2021-2022. Structural Equation Modeling (SEM) indicated that the service provider and service process significantly influenced the Service Results. Results: In the service process, the evaluation of service content and responsiveness were highly correlated, and both factors significantly affected user satisfaction. In the service provider, tangibility and reliability were highly correlated. The key factors for user willingness to recommend the service were service content and tangibility. Discussion: Based on the results of the data analysis, it can be inferred that EMLS should be improved and upgraded in terms of service organization, talent cultivation, and service channel expansion. To enhance service organization, an emergency medical language team should establish a close collaboration with local medical institutions and government departments, and an EMLS center should be established with the support of hospitals, government, or civil organizations. |
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MeSH term(s) | Humans ; Public Health ; Reproducibility of Results ; Pandemics ; COVID-19/epidemiology ; Language |
Language | English |
Publishing date | 2023-06-12 |
Publishing country | Switzerland |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 2711781-9 |
ISSN | 2296-2565 ; 2296-2565 |
ISSN (online) | 2296-2565 |
ISSN | 2296-2565 |
DOI | 10.3389/fpubh.2023.1169222 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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