Vieira Elamara Marama de Araujo, da Silva Jonhatan Magno Norte, Leite Wilza Karla Dos Santos, Oliveira Raynara Samille Guerra, da Silva Luiz Bueno
Departamento de Fisioterapia, Universidade Federal da Paraíba (UFPB), João Pessoa, PB, Brazil.
Departamento de Engenharia de Produção, Universidade Federal de Alagoas, Belmiro Gouveia, AL, Brazil.
Rev Bras Med Trab. 2024 Aug 5;22(1):e2022976. doi: 10.47626/1679-4435-2022-976. eCollection 2024 Jan-Mar.
Understanding motivation, identifying motivational factors of health professionals, and recognizing how managers and leaders can successfully motivate healthcare professionals is a growing concern.
To assess the occupational, sociodemographic, and health factors that influence the occurrence of demotivation in the intensive care unit professionals.
We performed a cross-sectional study with health professionals from nine intensive care units in João Pessoa, Paraíba state, Brazil. Data were collected using an adapted version of the Health Care Establishment Questionnaire. We built a Logistic Regression model to analyze the influence of variables on the motivational state, and variables were selected by the Backward method. We used 80% of the sample for parameter estimation and the remaining 20% for testing and validation. We used the R software for the analyses, with a significance level of α ≤ 0.05.
We identify that the variable with the greatest power over the intensivist's demotivation was shift work (odds ratio [OR] = 4.215, p = 0.006). The number of symptoms (OR = 1.206, p = 0.000) and working time (OR = 1.080, p = 0.031) were also significant risk variables. When the three variables were combined, the professional's chance of feeling unmotivated increased by 38 times (OR = 38.99, p = 0.000).
Based on these results, it is possible to identify aspects that will require organizational adjustments so that intensivists remain satisfied and motivated.
理解动机、识别卫生专业人员的动机因素以及认识管理者和领导者如何成功激励医疗保健专业人员,正日益受到关注。
评估影响重症监护病房专业人员产生工作倦怠的职业、社会人口学和健康因素。
我们对巴西帕拉伊巴州若昂佩索阿市九个重症监护病房的卫生专业人员进行了一项横断面研究。使用改编后的《医疗机构调查问卷》收集数据。我们构建了一个逻辑回归模型来分析变量对动机状态的影响,并通过向后法选择变量。我们使用80%的样本进行参数估计,其余20%用于测试和验证。我们使用R软件进行分析,显著性水平为α≤0.05。
我们发现对重症监护医生工作倦怠影响最大的变量是轮班工作(优势比[OR]=4.215,p=0.006)。症状数量(OR=1.206,p=0.000)和工作时间(OR=1.080,p=0.031)也是显著的风险变量。当这三个变量结合在一起时,专业人员感到工作倦怠的可能性增加了38倍(OR=38.99,p=0.000)。
基于这些结果,可以确定需要进行组织调整的方面,以便重症监护医生保持满意和积极性。