Can we monitor and contain health professionals' work-related stress in an emergency? The experience acquired during the COVID-19 pandemic at the Local Health Unit Cuneo1 (Northern Italy)

Federica Gallo, Bianca Mottura, Donatella Galliano, Alberto Baratti, Giuseppe Maurizio Arduino, Gianfranco Mina,Francesco Risso, Maria Teresa Puglisi,Mirco Grillo

SAFETY AND HEALTH AT WORK(2022)

引用 0|浏览2
暂无评分
摘要
Introduction: COVID-19 pandemic has a big impact on health professionals’ work load, at organizational/psychological level. The Local Health Unit Cuneo1 adopted a strategy to monitor its staff on work-related stress and to return specific alerts. Material and Methods: A survey was approved by the Direction as institutional task of personnel’s risk assessment. Step1-sept2020: a validated questionnaire to detect requests/resources imbalance. Data analysis assessed distress in specific groups (at 5% significance level), by an Analysis of Variance model with distress as outcome (>value, >pressure) and sex, age, profession as predictors. Step2-ongoing: structured interviews to managers of COVID-19 front-line structures, then descriptively analyzed. Results: Respondents were 1/3 of staff (1373/4155). General distress (range: -40;+92) reached a mean of 1.2, that was adverse being a positive value but slight. The model highlighted significant alerts. Women had more worries than men (mean: -3.0 vs -6.8;p=0.006). Older staff showed higher distress than 21-30yrs (-10.8): 41-50yrs (-3.1;p=0.006);51-60yrs (-4.1;p=0.024);>60yrs (-1.5;p=0.004). Nurses had high distress (1.8): 7 points higher (p=0.006) than physicians’ (-5.1);administrative staff (-2.0) and technicians (-3.0) had moderate distress;psychologists had the minor one (-12.6). A total of 9 interviews were done in step2: all showed a medium pressure level. Conclusions: These data allowed implementing focus groups and training to overcome organizational and psychological matters related to COVID-19 and to building robust readiness to face possible future health emergencies.
更多
查看译文
关键词
health professionals,stress,local health unit cuneo1,emergency,work-related
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要