Dataset Information

Hospital factors that predict intention of health care workers to leave their job during the COVID-19 pandemic.

ABSTRACT:

Purpose

To identify factors responsible for hospital health care workers' intention to leave their job during the COVID-19 pandemic.

Design

A cross-sectional study was performed.

Methods

A self-administered questionnaire was delivered to solicit hospital health care workers' demographics, intention to leave, workplace environment, and changes related to COVID-19 from July to November 2020 in Taiwan. Principal component analysis was performed to compare group-related factors. Multiple logistic regression was used to determine the risk factors for the intention of health care workers to leave their job.

Findings

Among the 1209 health care workers (mean age, 36.3 years) who participated in the study, intention to leave the job was found to be related to factors relating to COVID-19, including perceived risk, affected social relationships, and increased workload and job stress, after adjustment for demographic and work factors. Supportive administration/management were protective factors against leaving the job. These results were supported by sensitivity analyses.

Conclusions

Our findings suggest that the intention of health care workers to leave their job during a pandemic is related to potentially modifiable factors relating to the infection itself and work environment.

Clinical relevance

High perceived risk of COVID-19, affected social relationaops, and increased workload and job stress were positively associated with the intention of health care workers to leave their job, whereas supportive administration and management were protective factors against leaving the job. Development of workplace strategies is important to help mitigate these above factors, improve psychological wellbeing, and promote workforce stability.

SUBMITTER: Chen YC

PROVIDER: S-EPMC9115187 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature

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Publications

Hospital factors that predict intention of health care workers to leave their job during the COVID-19 pandemic.

Chen Yi-Chuan YC Wu Hsueh-Ching HC Kuo Feng-Tze FT Koh David D Guo Yue-Liang Leon YL Shiao Judith Shu-Chu JS

Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing 20220220 5

<h4>Purpose</h4>To identify factors responsible for hospital health care workers' intention to leave their job during the COVID-19 pandemic.<h4>Design</h4>A cross-sectional study was performed.<h4>Methods</h4>A self-administered questionnaire was delivered to solicit hospital health care workers' demographics, intention to leave, workplace environment, and changes related to COVID-19 from July to November 2020 in Taiwan. Principal component analysis was performed to compare group-related factors ...[more]

PMID: 35187777

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Project description:ImportanceChildcare stress (CCS) is high during the COVID-19 pandemic because of remote learning and fear of illness transmission in health care workers (HCWs). Associations between CCS and burnout, intent to reduce (ITR) hours, and intent to leave (ITL) are not known.ObjectiveTo determine associations between CCS, anxiety and depression, burnout, ITR in 1 year, and ITL in 2 years.Design, setting, and participantsThis survey study, Coping with COVID, a brief work-life and wellness survey of US HCWs, was conducted between April and December 2020, assessing CCS, burnout, anxiety, depression, workload, and work intentions. The survey was distributed to clinicians and staff in participating health care organizations with more than 100 physicians. Data were analyzed from October 2021 to May 2022.Main outcomes and measuresThe survey asked, "due to…COVID-19, I am experiencing concerns about childcare," and the presence of CCS was considered as a score of 3 or 4 on a scale from 1, not at all, to 4, a great extent. The survey also asked about fear of exposure or transmission, anxiety, depression, workload, and single-item measures of burnout, ITR, and ITL.ResultsIn 208 organizations, 58 408 HCWs (15 766 physicians [26.9%], 11 409 nurses [19.5%], 39 218 women [67.1%], and 33 817 White participants [57.9%]) responded with a median organizational response rate of 32%. CCS was present in 21% (12 197 respondents) of HCWs. CCS was more frequent among racial and ethnic minority individuals and those not identifying race or ethnicity vs White respondents (5028 respondents [25.2%] vs 6356 respondents [18.8%]; P < .001; proportional difference, -7.1; 95% CI, -7.8 to -6.3) and among women vs men (8281 respondents [21.1%] vs 2573 respondents [17.9%]; odds ratio [OR], 1.22; 95% CI, 1.17 to 1.29). Those with CCS had 115% greater odds of anxiety or depression (OR, 2.15; 95% CI, 2.04-2.26; P < .001), and 80% greater odds of burnout (OR, 1.80; 95% CI, 1.70-1.90; P < .001) vs indidivuals without CCS. High CCS was associated with 91% greater odds of ITR (OR, 1.91; 95% CI, 1.76 to 2.08; P < .001) and 28% greater odds of ITL (OR, 1.28; 95% CI, 1.17 to 1.40; P < .001).Conclusions and relevanceIn this survey study, CCS was disproportionately described across different subgroups of HCWs and was associated with anxiety, depression, burnout, ITR, and ITL. Addressing CCS may improve HCWs' quality of life and HCW retention and work participation.

Project description:ImportanceThe COVID-19 pandemic stressed the healthcare field, resulting in a worker exodus at the onset and throughout the pandemic and straining healthcare systems. Female healthcare workers face unique challenges that may impact job satisfaction and retention. It is important to understand factors related to healthcare workers' intent to leave their current field.ObjectiveTo test the hypothesis that female healthcare workers were more likely than male counterparts to report intention to leave.DesignObservational study of healthcare workers enrolled in the Healthcare Worker Exposure Response and Outcomes (HERO) registry. After baseline enrollment, two HERO 'hot topic' survey waves, in May 2021 and December 2021, ascertained intent to leave. Unique participants were included if they responded to at least one of these survey waves.SettingHERO registry, a large national registry that captures healthcare worker and community member experiences during the COVID-19 pandemic.ParticipantsRegistry participants self-enrolled online and represent a convenience sample predominantly composed of adult healthcare workers.Exposure(s)Self-reported gender (male, female).Main outcomePrimary outcome was intention to leave (ITL), defined as having already left, actively making plans, or considering leaving healthcare or changing current healthcare field but with no active plans. Multivariable logistic regression models were performed to examine the odds of intention to leave with adjustment for key covariates.ResultsAmong 4165 responses to either May or December surveys, female gender was associated with increased odds of ITL (42.2% males versus 51.4% females reported intent to leave; aOR 1.36 [1.13, 1.63]). Nurses had 74% higher odds of ITL compared to most other health professionals. Among those who expressed ITL, three quarters reported job-related burnout as a contributor, and one third reported experience of moral injury.Conclusions and relevanceFemale healthcare workers had higher odds of intent to leave their healthcare field than males. Additional research is needed to examine the role of family-related stressors.Trial registrationClinicalTrials.gov identifier NCT04342806.

Project description:ObjectiveThe intention to leave surgical training, hereinafter referred as proxy of "attrition," is associated with poor well-being in the workplace. Attrition is suggested to diminish when residents possess job-crafting skills, that is, the ability to redefine their job in meaningful ways and maximize well-being at work by increasing structural and social resources and challenges and decreasing hindering demands. However, the evidence supporting this relationship is scant. This study sought to: 1) investigate to what extent residents possess job-crafting skills and compare residents' levels of job-crafting skills across years of residency training; 2) investigate the relationship between job crafting, well-being as measured by burnout and work-engagement rates, and the intention to leave; and 3) compare the levels of job-crafting skills and well-being between residents with and without serious intentions to leave.MethodsThis cross sectional study was conducted in fifteen residency programs in Colombia. Surgical residents completed different questionnaires including the Dutch Job Crafting Scale (DJCS), MBI-Human Services Survey (MBI-HSS), Utrecht Work Engagement Scale (UWES-17) and an adapted version of the Nurse Turnover Intention Scale (NTIS). The objectives were addressed by independent analyses of variance (ANOVA), structural equation modeling techniques (SEM) and independent t-tests, respectively.ResultsA total of 202 residents participated. Residents generally scored high on their job-crafting skills to increase structural and social resources as well as challenging demands, but were less positive about their skills to reduce hindering demands. No differences across years of training were found. Job crafting correlated positively with work-engagement, which was inversely related to the intention to leave. Conversely, job crafting correlated negatively with burnout, which bore a positive relationship to the intention to leave. Residents with serious intentions to leave exhibited lower levels of most job-crafting skills and work-engagement, compared to those without such intentions.ConclusionsThis study adds evidence that attrition is a process mediated by residents' well being at work, which can be molded by their job-crafting endeavors. Future research is needed to evaluate the effectiveness of interventions aimed at cultivating resident's job-crafting abilities in order to reduce attrition.

Project description:BackgroundThe Hospital Consultants' Job Stress Questionnaire (HCJSQ) has been widely used to assess sources and levels of job stress. However, its reliability and validity among Chinese dental workers have not been extensively studied. The objective of this study was to assess the reliability and validity of the HCJSQ specifically in Chinese dental workers.MethodsThe HCJSQ was used to explore the sources and the global ratings of job stress among Chinese dental workers. To assess the reliability and validity of the HCJSQ, various statistical measures were employed, including Cronbach's alpha coefficient, Spearman-Brown coefficient, Spearman correlation coefficient, exploratory factor analysis, confirmatory factor analysis, convergent validity, and discriminant validity.ResultsOf the participants, 526 (17.4%) reported high levels of stress, while 1,246 (41.3%) and 1,248 (41.3%) reported moderate and low levels of stress, respectively. The Cronbach's alpha coefficient for the modified HCJSQ was 0.903, and the Spearman-Brown coefficient was 0.904. Spearman correlation coefficient between individuals' items and the total score ranged from 0.438 to 0.785 (p < 0.05). Exploratory factor analysis revealed that three factors accounted for 60.243% of the total variance. Confirmatory factor analysis demonstrated factor loadings between 0.624 and 0.834 on the specified items. The fit indices of the confirmatory factor analysis indicated good model fit, with a Root Mean Square Error of Approximation of 0.064, Normative Fit Index of 0.937, Comparative Fit Index of 0.952, Incremental Fit Index of 0.952, Tucker-Lewis index of 0.941, and Goodness of Fit Index of 0.944. Additionally, the convergent validity and discriminant validity showed a good fit for the three-factor model.ConclusionThe results of this study confirm that Chinese dental workers experience high levels of stress, and the three-factor model of the HCJSQ proves to be a suitable instrument for evaluating the sources and levels of job stress among Chinese dental workers. Therefore, it is imperative that relevant entities such as hospitals, medical associations, and government take appropriate measures to address the existing situation.

Project description:IntroductionHealth care workers are the most affected part of the world population due to the COVID-19 pandemic. Countries prioritize vaccinating health workers against COVID-19 because of their susceptibility to the virus. However, the acceptability of the vaccine varies across populations. Thus, this study aimed to determine the health care worker's intentions to accept the COVID-19 vaccine and its associated factors in southwestern Ethiopia, 2021.MethodsA facility-based cross-sectional study was conducted among health care workers in public hospitals in southwestern Ethiopia from March 15 to 28, 2021. A simple random sampling method was used to select 405 participants from each hospital. Data were collected using self-administered questionnaires. Descriptive statistics, such as frequency and percentage, were calculated. Multivariable logistic regression was also performed to identify factors associated with health care worker's intention to accept the COVID-19 vaccine. Statistically significant variables were selected based on p-values (<0.05) and the adjusted odds ratio was used to describe the strength of association with 95% confidence intervals.ResultAmong the respondents, 48.4% [95% CI: 38.6, 58.2] of health care workers intended to accept COVID-19. Intention to accept COVID-19 vaccination was significantly associated with physicians (AOR = 9.27, 95% CI: 1.27-27.32), professionals with a history of chronic illness (AOR = 4.07, 95% CI: 2.02-8.21), perceived degree of risk of COVID-19 infection (AOR = 4.63, 95% CI: 1.26-16.98), positive attitude toward COVID-19 prevention (AOR = 6.08, 95% CI: 3.39-10.91) and good preventive practices (AOR = 2.83, 95% CI: 1.58-5.08).ConclusionIn this study, the intention of health care workers to accept the COVID-19 vaccine was low. Professional types, history of chronic illness, perceived degree of risk to COVID-19 infection, attitude toward COVID-19 and preventive practices were found to be factors for intention to accept COVID-19 vaccine in professionals. It is important to consider professional types, history of chronic illness, perceived degree of risk to COVID-19, attitude of professionals and preventive behaviors to improve the intention of professionals' vaccine acceptance.

Dataset Information

Hospital factors that predict intention of health care workers to leave their job during the COVID-19 pandemic.

Purpose

Design

Methods

Findings

Conclusions

Clinical relevance

Publications

Hospital factors that predict intention of health care workers to leave their job during the COVID-19 pandemic.

Similar Datasets

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