General Occupational Well-being of Dentists Working in the Ministry of Health and Regional Governments of Peru During the COVID-19 Pandemic

• Published in: Iatreia (Medellín, Colombia) Colombia), 2024-07, Vol.37 (3), p.300-310
• Main Authors: Esmeralda Olivera-Arones, Manuel Antonio Mattos-Vela, Teresa Angélica Evaristo-Chiyong, Lesly Viviana Tuesta-Orbe
• Format: Article
• Language: eng ; spa
• Subjects: covid-19; dentists; peru; working conditions
• ISSN: 0121-0793; 2011-7965
• DOI: 10.17533/udea.iatreia.229

Introduction: The well-being of dentists significantly influences their professional performance and the oral health care they provide to their patients. Objective: This study aimed to determine the overall occupational well-being of dentists working in establishments under the Ministry of Health (MINSA) and Regional Governments (GORES) of Peru during the COVID-19 pandemic, considering sociodemographic characteristics. Methods: A descriptive cross-sectional study was conducted. The population comprised 5,289 dentists working in MINSA and GORES in the year 2021. A questionnaire on general occupational well-being was emailed to all participants. The questionnaire consisted of 64 items: 7 items on sociodemographic aspects, 42 items on the psychosocial well-being dimension, and 13 items on collateral effects. Results: A survey was completed by 362 dentists, revealing a psychosocial well-being score of 189.89 ± 40.57 and a collateral effects score of 44.80 ± 19.25. Lower psychosocial well-being was observed among dentists aged 41 and older (p = 0.046), those working 1 to 41 hours per week (p = 0.009), from the Lima and southern macro-region (p = 0.026), engaged in remote work (p = 0.029), and those experiencing significant economic impact. Regarding collateral effects, dentists from the southern macro-region exhibited lower well-being (p = 0.022). Conclusions: During the pandemic, the general occupational well-being of dentists from MINSA and GORES in Peru, in terms of the psychosocial well-being dimension, was associated with age, weekly working hours, macro-region, type of work, and economic impact.