Sant'ana Jorge Luiz Guedes, Maldonado Mauricio Uriona, Gontijo Leila Amaral
Universidade Federal de Santa Catarina, Florianópolis, SC, Brasil.
Rev Lat Am Enfermagem. 2019 Jul 18;27:e3156. doi: 10.1590/1518-8345.2874.3156.
to represent the dynamics of stress generation, accumulation and reduction in the nursing team at an oncology therapy center.
a mathematical simulation model of system dynamics was developed based on data collection in loco. The model served to test the impact of three policies aimed at reducing stress in the team, namely i) increase in the service load; ii) increase in the size of shift teams and iii) reduction of service hours per bed.
the model showed that the policy of increasing the size of the team obtained the best results, with the absenteeism index stabilizing at 8%; staff at leave also stabilizing at 4-5 people per month, as well as accumulated stress reduced to baseline levels.
measures to monitor physical and emotional demands, hiring staff, better technical training for so-called stressful activities, and a better distribution of tasks can be effective in reducing absenteeism rates and improving the quality of life of these workers.
呈现肿瘤治疗中心护理团队压力产生、积累和减轻的动态变化。
基于实地数据收集开发了系统动力学数学模拟模型。该模型用于测试旨在减轻团队压力的三项政策的影响，即：i）增加服务负荷；ii）增加轮班团队规模；iii）减少每张床位的服务时长。
模型显示，增加团队规模的政策取得了最佳效果，旷工指数稳定在8%；休假员工也稳定在每月4 - 5人，累积压力降至基线水平。
监测身体和情感需求、招聘员工、针对所谓压力大的活动进行更好的技术培训以及更好地分配任务等措施，可有效降低旷工率并改善这些员工的生活质量。
