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Work ; 70(2): 365-376, 2021.
Article in English | MEDLINE | ID: covidwho-1538351

ABSTRACT

BACKGROUND: Dentistry is one of the highest risk occupations that face COVID-19, especially in countries that are severely affected by the pandemic, such as Indonesia. OBJECTIVE: The purpose of the study was to determine factors influencing job satisfaction among dentists during the new normal of COVID-19 pandemic in Indonesia by utilizing the Structural Equation Modeling (SEM) approach. METHODS: A total of 310 Indonesian dentists voluntary completed an online questionnaire, which contained 58 questions. Several latent variables such as perceived severity of COVID-19, staff cooperation and management commitment, personal protective equipment, job stress, working hours, income, and overall job satisfaction were analyzed simultaneously. RESULTS: SEM revealed perceived severity of COVID-19 had significant effects on job stress (ß:0.394, p = 0.025) and the utilization of personal protective equipment (ß:0.757, p = 0.001). Subsequently, job stress (ß:-0.286, p = 0.001), working hours (ß:0.278, p = 0.018), income (ß:0.273, p = 0.003), personal protective equipment (ß:0.145, p = 0.038), and staff cooperation & management commitment (ß:0.091, p = 0.002) were found to have significant effects on overall job satisfaction. In addition, management & staff cooperation was found to have a significant association with job stress reduction (ß:-0.319, p = 0.003) which subsequently led to higher satisfaction. CONCLUSIONS: The current study is one of the first that analyzed job satisfaction among dentists in Indonesia during the global COVID-19 pandemic. The integrated latent variables can be applied and extended to evaluate job satisfaction among dentists during the COVID-19 pandemic in other countries. Finally, this study contributed as a theoretical foundation for policymakers to enhance the job satisfaction of dentists during the COVID-19 pandemic.


Subject(s)
COVID-19 , Pandemics , Dentists , Humans , Indonesia/epidemiology , Job Satisfaction , Latent Class Analysis , SARS-CoV-2 , Surveys and Questionnaires
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