Dataset Information

Job burnout among critical care nurses from 14 adult intensive care units in Northeastern China: a cross-sectional survey.

ABSTRACT: The shortage of qualified nurses is one of the critical challenges in the field of healthcare. Among the contributing factors, job burnout has been indicated as a risk factor for the intention to leave. The purpose of this study was to provide a better understanding of the local status and reference data for coping strategies for intensive care unit (ICU)-nurse burnout among Liaoning ICU nurses.Observational study.17 ICUs from 10 tertiary-level hospitals in Liaoning, China.431 ICU nurses from 14 ICUs nested in 10 tertiary-level hospitals in Liaoning, China, were invited during October and November 2010.Burnout was measured using the 22-item Chinese version of Maslach Burnout Inventory-Health Service Survey (MBI-HSS) questionnaires.14 ICUs responded actively and were included; the response rate was 87.7% among the 486 invited participants from these 17 ICUs. The study population was a young population, with the median age 25?years, IQR 23-28?years and female nurses accounted for the major part (88.5%). 68 nurses (16%) were found to have a high degree of burnout, earning high emotional exhaustion and depersonalisation scores together with a low personal accomplishment score.The present study indicated a moderate distribution of burnout among ICU nurses in Liaoning, China. An investigation into the burnout levels of this population could bring more attention to ICU caregivers.

SUBMITTER: Zhang XC

PROVIDER: S-EPMC4067832 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Job burnout among critical care nurses from 14 adult intensive care units in Northeastern China: a cross-sectional survey.

Zhang Xiao-Chun XC Huang De-Sheng DS Guan Peng P

BMJ open 20140619 6

<h4>Objectives</h4>The shortage of qualified nurses is one of the critical challenges in the field of healthcare. Among the contributing factors, job burnout has been indicated as a risk factor for the intention to leave. The purpose of this study was to provide a better understanding of the local status and reference data for coping strategies for intensive care unit (ICU)-nurse burnout among Liaoning ICU nurses.<h4>Design</h4>Observational study.<h4>Setting</h4>17 ICUs from 10 tertiary-level h ...[more]

PMID: 24948747

Similar Datasets

Project description:ImportanceNurses working in an intensive care unit (ICU) are exposed to occupational stressors that can increase the risk of stress reactions, long-term absenteeism, and turnover.ObjectiveTo evaluate the effects of a program including simulation in reducing work-related stress and work-related outcomes among ICU nurses.Design, setting, and participantsMulticenter randomized clinical trial performed at 8 adult ICUs in France from February 8, 2016, through April 29, 2017. A total of 198 ICU nurses were included and followed up for 1 year until April 30, 2018.InterventionsThe ICU nurses who had at least 6 months of ICU experience were randomized to the intervention group (n = 101) or to the control group (n = 97). The nurses randomized to the intervention group received a 5-day course involving a nursing theory recap and situational role-play using simulated scenarios (based on technical dexterity, clinical approach, decision making, aptitude to teamwork, and task prioritization), which were followed by debriefing sessions on attitude and discussion of practices.Main outcomes and measuresThe primary outcome was the prevalence of job strain assessed by combining a psychological demand score greater than 21 (score range, 9 [best] to 36 [worst]) with a decision latitude score less than 72 (score range, 24 [worst] to 96 [best]) using the Job Content Questionnaire and evaluated at 6 months. There were 7 secondary outcomes including absenteeism and turnover.ResultsAmong 198 ICU nurses who were randomized (95 aged ≤30 years [48%] and 115 women [58%]), 182 (92%) completed the trial for the primary outcome. The trial was stopped for efficacy at the scheduled interim analysis after enrollment of 198 participants. The prevalence of job strain at 6 months was lower in the intervention group than in the control group (13% vs 67%, respectively; between-group difference, 54% [95% CI, 40%-64%]; P < .001). Absenteeism during the 6-month follow-up period was 1% in the intervention group compared with 8% in the control group (between-group difference, 7% [95% CI, 1%-15%]; P = .03). Four nurses (4%) from the intervention group left the ICU during the 6-month follow-up period compared with 12 nurses (12%) from the control group (between-group difference, 8% [95% CI, 0%-17%]; P = .04).Conclusions and relevanceAmong ICU nurses, an intervention that included education, role-play, and debriefing resulted in a lower prevalence of job strain at 6 months compared with nurses who did not undergo this program. Further research is needed to understand which components of the program may have contributed to this result and to evaluate whether this program is cost-effective.Trial registrationClinicalTrials.gov Identifier: NCT02672072.

Project description:BackgroundMental health problems are critical and common in medical staff working in Intensive Care Units (ICU) even at the late stage of COVID-19, particularly for nurses. There is little research to explore the inner relationships between common syndromes, such as depression and burnout. Network analysis (NA) was a novel approach to quantified the correlations between mental variables from the perspective of mathematics. This study was to investigate the interactions between burnout and depression symptoms through NA among ICU nurses.MethodA cross-sectional study with a total of 616 Chinese nurses in ICU were carried out by convenience sampling from December 19, 2022 to January19, 2023 via online survey. Burnout symptoms were measured by Maslach Burnout Inventory-General Survey (MBI-GS) (Chinese version), and depressive symptoms were assessed by the 9-item Patient Health Questionnaire (PHQ-9). NA was applied to build interactions between burnout and depression symptoms. We identified central and bridge symptoms by R package qgraph in the network model. R package bootnet was used to examined the stability of network structure.ResultsThe prevalence of burnout and depressive symptoms were 48.2% and 64.1%, respectively. Within depression-burnout network, PHQ4(Fatigue)-MBI2(Used up) and PHQ4(Fatigue)-MBI5(Breakdown) showed stronger associations. MBI2(Used up) had the strongest expected influence central symptoms, followed by MBI4(Stressed) and MBI7 (Less enthusiastic). For bridge symptoms. PHQ4(Fatigue), MBI5(Breakdown) and MBI2(Used up) weighed highest. Both correlation stability coefficients of central and bridge symptoms in the network structure were 0.68, showing a high excellent level of stability.ConclusionThe symptom of PHQ4(Fatigue) was the bridge to connect the emotion exhaustion and depression. Targeting this symptom will be effective to detect mental disorders and relieve mental syndromes of ICU nurses at the late stage of COVID-19 pandemic.

Dataset Information

Job burnout among critical care nurses from 14 adult intensive care units in Northeastern China: a cross-sectional survey.

Publications

Job burnout among critical care nurses from 14 adult intensive care units in Northeastern China: a cross-sectional survey.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets