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Assessing Nurses’ Job Satisfaction in the Post-Pandemic Period: A Portuguese Cross-Sectional Study
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Orientador(es)
Resumo(s)
Job satisfaction (JS) among nurses has been the subject of study by academia and organizations worldwide. Its potential impact on the quality and safety of patient care is described in several studies. Therefore, the aim of this research was to determine nurses’ level of JS in a hospital unit in Northeast Portugal. This cross-sectional and analytical study was conducted. A simple random sample of 149 nurses was surveyed through a questionnaire that included sociodemographic variables and the JS Scale by Siqueira (2008). The data were analyzed using software suitable for Social and Health Sciences. The internal consistency of the JS scale dimensions, assessed using Cronbach's alpha, was good to very good (α > 0.8). The JS was low (𝑥̄ = 3.6; SD = 0.987), primarily due to dissatisfaction with salaries (𝑥̄ = 2.1; SD = 1.182) and career progression (𝑥̄ = 2.4; SD = 1.267). Satisfaction with colleagues (𝑥̄ = 4.6; SD = 1.296), work’s nature (𝑥̄ = 4.4; SD = 1.224), and management (𝑥̄ = 4.3; SD = 1.518) contributed positively to JS. Furthermore, satisfaction with colleagues varied by age, service length, and contract type (p < 0.05). Additionally, gender was a significant factor in salary satisfaction (p<0.05). Finally, JS differed in service length (p < 0.05). Most nurses expressed dissatisfaction, highlighting the need to implement strategies to improve JS, particularly through more attractive salaries and opportunities for career advancement, as well as through gradual development of skills, knowledge, and responsibility.
Descrição
Palavras-chave
Nurses Job satisfaction Organizational behavior Portugal
Contexto Educativo
Citação
Antão, Celeste; Rodrigues, Urbano; Fernandes, António; Ribeiro, Maria Isabel (2026). Assessing Nurses’ Job Satisfaction in the Post-pandemic Period: A Portuguese Cross-sectional Study. The Journal of Organizational Management Studies. ISSN 2166-0816. 2026, p. 1-11
Editora
IBIMA