Job description and perception of clinical research personnel working in a network of French intensive care units.

BACKGROUND: There is a lack of information about the organisation and management of clinical research personnel in Europe and of their professional activity in intensive care. We therefore conducted a cross-sectional survey among personnel currently working in a French intensive care research network that involves 41 centres nationwide. The aim of the survey was to describe the personnel's personal and institutional organisation and management, their job perception in terms of satisfaction and stress, and suggestions for improvement. METHODS: Over 3 months in 2023, the research personnel received an electronic questionnaire on their personal and professional profile, past and present training, workplace and functions currently performed, personal knowledge about job skills required, job satisfaction and stress by as measured on a rating scale, and suggested ways of improvement. RESULTS: Ninety seven people replied to the questionnaire (a response rate of 71.3%), of whom 78 (57.3%) were sufficiently involved in intensive care to provide complete answers. This core sample had profiles in line with French recruitment policies and comprised mainly Bachelor/Master graduates, with nurses accounting for only 21.8%. The female to male ratio was 77:23%. Many responders declared to have a shared activity of technician (for investigation) and assistant (for quality control). More than 70% of the responders considered that most of the tasks required of each worker were major. Figures were much lower for project managers, who were few to take part in the survey. On a scale of 10, the median of job satisfaction was 7 for personal work organisation, 6 for training and for institutional organisation, and only 5 for personal career management. The median of job stress was 5 and was inversely correlated with satisfaction with career management. Respect of autonomy, work-sharing activity between investigation and quality control, a better career progression, financial reward for demanding tasks, and participation in unit staff meetings were the main suggestions to improve employee satisfaction. CONCLUSION: This nationwide survey provides a new insight into the activity of French clinical research personnel and points to ways to improve the quality and efficiency of this workforce.

Measuring job stress of dental workers in China during the COVID-19 pandemic: reliability and validity of the hospital consultants' job stress questionnaire.

BACKGROUND: The 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. METHODS: The 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. RESULTS: Of 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. CONCLUSION: The 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.

Effort-reward imbalance and common mental disorders among public sector employees of Iran: a cross-sectional analysis.

BACKGROUND: The effort-reward imbalance (ERI) model is a widely used theoretical model to measure stress in the workplace. The objective of this study was to investigate the relationship between ERI and three common mental disorders: major depressive disorder (MDD), generalized anxiety disorder (GAD), and obsessive-compulsive disorder (OCD). METHODS: In this cross-sectional analysis, the study sample consisted of 4453 baseline participants of the Employees' Health Cohort Study of Iran (EHCSIR). Trained psychologists utilized the Persian version of the Composite International Diagnostic Interview (CIDI-2.1) during the baseline assessment to identify common mental disorders. Additionally, the validated Persian version of the 23-item ERI questionnaire was employed to assess effort, reward, overcommitment, and effort-reward ratio. To examine the association of ERI components with three common mental disorders (MDD, GAD, and OCD) over the past twelve months, multiple logistic regression analyses were conducted. RESULTS: The prevalence of effort-reward imbalance in the study sample was 47.1%. Higher ERI score was significantly associated with MDD (OR: 3.43, 95% CI: 2.30-5.13), GAD (OR: 2.42, 95% CI: 1.27-4.63), and OCD (OR: 2.23, 95% CI:1.19-4.19). The study participants who reported higher scores on work overcommitment had a higher likelihood of having MDD (OR: 1.16, 95% CI:1.10-1.23), GAD (OR: 1.07, 95% CI: 1.01-1.14), and OCD (OR: 1.19, 95% CI: 1.09-1.29). CONCLUSIONS: According to the study's findings, work-related stress, as determined by the ERI model, is a significant factor in the development of common mental disorders among employees in the public sector.

Relationships between job stress, post-traumatic stress and musculoskeletal symptoms in firefighters and the role of job burnout and depression mediators: a bayesian network model.

INTRODUCTION: Job stress, post-traumatic stress disorder (PTSD), and negative psychological outcomes in firefighters can be caused, or aggravated, by their work. These mental disorders can impart musculoskeletal symptoms. This study aimed to investigate relationships between musculoskeletal and psychological disorders in a population of firefighters using a Bayesian network model. METHODS: This cross-sectional study, conducted in 2022, included 2339 firefighters who completed questionnaires during their rest periods. The questionnaires comprised of demographical information, the Occupational Stress Questionnaire-HSE, the PTSD Checklist, Maslach Burnout Inventory, Center for Epidemiologic Studies - Depression scale (CES-D), and Nordic Musculoskeletal Questionnaire. GeNIe academic software was used to analyze the Bayesian network. RESULTS: High job stress and high PTSD each increased the probability of musculoskeletal symptoms by 34%. When combined, high job stress and high PTSD increased the probability of musculoskeletal symptoms by 37%. Among the mediator's burnout and depression, depression had the highest association with musculoskeletal symptoms. CONCLUSIONS: Job stress and PTSD can increase musculoskeletal symptoms and are influenced by psychological mediators (like burnout and depression). Adopting preventive and therapeutic measures to mitigate job stress and PTSD, mitigate and rehabilitate WMSD, and manage associated mediators are critical for the mental and physical health of firefighters.

The effects of different types of organisational workplace mental health interventions on mental health and wellbeing in healthcare workers: a systematic review.

OBJECTIVE: To determine if and which types of organisational interventions conducted in small and medium size enterprises (SMEs) in healthcare are effective on mental health and wellbeing. METHODS: Following PRISMA guidelines, we searched six scientific databases, assessed the methodological quality of eligible studies using QATQS and grouped them into six organisational intervention types for narrative synthesis. Only controlled studies with at least one follow-up were eligible. RESULTS: We identified 22 studies (23 articles) mainly conducted in hospitals with 16 studies rated of strong or moderate methodological quality. More than two thirds (68%) of the studies reported improvements in at least one primary outcome (mental wellbeing, burnout, stress, symptoms of depression or anxiety), most consistently in burnout with eleven out of thirteen studies. We found a strong level of evidence for the intervention type "Job and task modifications" and a moderate level of evidence for the types "Flexible work and scheduling" and "Changes in the physical work environment". For all other types, the level of evidence was insufficient. We found no studies conducted with an independent SME, however five studies with SMEs attached to a larger organisational structure. The effectiveness of workplace mental health interventions in these SMEs was mixed. CONCLUSION: Organisational interventions in healthcare workers can be effective in improving mental health, especially in reducing burnout. Intervention types where the change in the work environment constitutes the intervention had the highest level of evidence. More research is needed for SMEs and for healthcare workers other than hospital-based physicians and nurses.

A Bayesian approach to reveal the role of psychological factors on turnover intention among nurses during the COVID-19 pandemic.

BACKGROUND: Turnover intention is considered a significant challenge for healthcare and treatment organizations. The challenging conditions of treating COVID-19 patients and the physical and mental stress imposed on nurses during the pandemic may lead them to leave their jobs. The present study aimed to determine the role of psychological factors (general health, mental workload, work-family conflicts, and resilience) on turnover intention using a Bayesian approach during the COVID-19 pandemic. METHODS: The present cross-sectional study was carried out during the winter of 2021 at three hospitals in Khuzestan Province, Iran. To collect data for this investigation, 300 nurses were chosen based on Cochran's formula and random sampling technique. Seven questionnaires, including General Health, Mental Workload, Work-Family Conflict, Resilience, Job Stress, Fear of COVID-19, and Turnover Intention Questionnaires. Bayesian Networks (BNs) were used to draw probabilistic and graphical models. A sensitivity analysis also was performed to study the effects of the variables. The GeNIe academic software, version 2.3, facilitated the examination of the Bayesian network. RESULTS: The statistically significant associations occurred between the variables of fear of COVID-19 and job stress (0.313), job stress and turnover intention (0.302), and resilience and job stress (0.298), respectively. Job stress had the highest association with the fear of COVID-19 (0.313), and resilience had the greatest association with the work-family conflict (0.296). Also, the association between turnover intention and job stress (0.302) was higher than the association between this variable and resilience (0.219). At the low resilience and high job stress with the probability of 100%, the turnover intention variable increased by 20%, while at high resilience and low job stress with the probability of 100%, turnover intention was found to decrease by 32%. CONCLUSION: In general, the results showed that four psychological factors affect job turnover intention. However, the greatest impact was related to job stress and resilience. These results can be used to manage job turnover intention in medical environments, especially in critical situations such as COVID-19.

Unpaid overtime and mental health in the Canadian working population.

BACKGROUND: Unpaid overtime-describing a situation where extra hours are worked but not paid for-is a common feature of the labor market that, together with other forms of wage theft, costs workers billions of dollars annually. In this study, we examine the association between unpaid overtime and mental health in the Canadian working population. We also assess the relative strength of that association by comparing it against those of other broadly recognized work stressors. METHODS: Data were drawn from a survey administered to a heterogeneous sample of workers in Canada (n = 3691). Generalized linear models quantified associations between unpaid overtime, stress, and burnout, distinguishing between moderate (1-5) and excessive (6 or more) hours of unpaid overtime. RESULTS: Unpaid overtime was associated with higher levels of stress and burnout. Relative to those working no unpaid overtime, men working excessive unpaid overtime were 85% more likely to report stress (prevalence ratios [PR]: 1.85, 95% confidence interval [CI]: 1.26-2.72) and 84% more likely to report burnout (PR: 1.84, 95% CI: 1.34-2.54), while women working excessive unpaid overtime were 90% more likely to report stress (PR: 1.90, 95% CI: 1.32-2.75) and 52% more likely to report burnout (PR: 1.52; 95% CI: 1.12-2.06). The association of excessive unpaid overtime with mental health was comparable in magnitude to that of shift work and low job control. CONCLUSIONS: Unpaid overtime may present a significant challenge to the mental health of working people, highlighting the potential role of wage theft as a neglected occupational health hazard.

Variables that predict nurses' job stress and intention to leave during the COVID-19 pandemic in Turkey.

AIM: To investigate the variables predicting job stress and intention to leave the job among nurses during the COVID-19 pandemic in Turkey. DESIGN: This research was designed as an analytical cross-sectional study. METHODS: The population of the study consisted of 450 nurses working in a training and research hospital (N = 450). The study sample consisted of 178 nurses who worked in that hospital between February and July 2021. The Nurse Information Form, Job Stress Scale, and Intention to Leave Scale were used as data collection tools. The independent-sample t-test, one-way analysis of variance, and Pearson correlation analysis were applied for univariate analysis while multiple regression analysis was used for multivariate analysis. RESULTS: It was determined that the main factors predicting nurses' job stress levels were their Intention to Leave Scale scores, level of organizational satisfaction. The main factors predicting intention to leave were their Job Stress Scale scores, working conditions, and job satisfaction. A positive moderate correlation was found between job stress and intention to leave. CONCLUSION: This study demostares that among nurses during the COVID-19 pandemic, the predictors of job stress were intention to leave and organizational satisfaction, while the predictors of turnover intention included job stress, working conditions, and job satisfaction. Hospital managers, especially nursing services managers, should develop strategies for extraordinary situations such as pandemics and evaluate the professional satisfaction of nurses while providing a healthy working environment. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contributions.

Exploring Nurses' Behavioural Intention to Adopt AI Technology: The Perspectives of Social Influence, Perceived Job Stress and Human-Machine Trust.

AIM: This study examines how social influence, human-machine trust and perceived job stress affect nurses' behavioural intentions towards AI-assisted care technology adoption from a new perspective and framework. It also explores the interrelationships between different types of social influence and job stress dimensions to fill gaps in academic literature. DESIGN: A quantitative cross-sectional study. METHODS: Five hospitals in Taiwan that had implemented AI solutions were selected using purposive sampling. The scales, adapted from relevant literature, were translated into Chinese and modified for context. Questionnaires were distributed to nurses via snowball sampling from May 15 to June 10, 2023. A total of 283 valid questionnaires were analysed using the partial least squares structural equation modelling method. RESULTS: Conformity, obedience and human-machine trust were positively correlated with behavioural intention, while compliance was negatively correlated. Perceived job stress did not significantly affect behavioural intention. Compliance was positively associated with all three job stress dimensions: job uncertainty, technophobia and time pressure, while obedience was correlated with job uncertainty. CONCLUSION: Social influence and human-machine trust are critical factors in nurses' intentions to adopt AI technology. The lack of significant effects from perceived stress suggests that nurses' personal resources mitigate potential stress associated with AI implementation. The study reveals the complex dynamics regarding different types of social influence, human-machine trust and job stress in the context of AI adoption in healthcare. IMPACT: This research extends beyond conventional technology acceptance models by incorporating perspectives on organisational internal stressors and AI-related job stress. It offers insights into the coping mechanisms during the pre-adaption AI process in nursing, highlighting the need for nuanced management approaches. The findings emphasise the importance of considering technological and psychosocial factors in successful AI implementation in healthcare settings. PATIENT OR PUBLIC CONTRIBUTION: No Patient or Public Contribution.

Evaluating the role of heart rate variability in monitoring stress and sleep quality among nurses in the aftermath of the COVID-19 pandemic.

AIM: To assess heart rate variability (HRV) as a measure to assess job stress and sleep quality among nurses in the post-COVID-19 period. BACKGROUND: The COVID-19 pandemic significantly affected nurses, with heightened job stress and impaired sleep quality impacting their well-being and effectiveness in patient care. HRV could offer insights for supporting strategies in the pandemic aftermath. DESIGN: A quantitative cross-sectional study. METHODS: This study involved 403 clinical nurses recruited from a teaching hospital in Taiwan. Data on job stress, work frustration, sleep quality and HRV were collected and analysed. RESULTS: Among the nurses surveyed during the COVID-19 pandemic, 72.7% reported poor sleep quality (PSQI = 9.369). Job stress emerged as a strong predictor of work frustration. High stress levels and poor sleep quality were correlated with significantly decreased HRV, indicating a potential physiological impact of stress on the nurses' health and well-being. CONCLUSIONS: HRV is a valuable and cost-effective measure for monitoring and managing nurses' well-being in the post-COVID-19 era. Targeted interventions can be implemented to support nurses' overall performance and promote their well-being by identifying those at high risk of job stress and poor sleep quality.

New nurses' practice environment, job stress, and patient safety attitudes: a cross-sectional study based on the job demands-resources model.

BACKGROUND: Patient safety is paramount for all healthcare agencies. Health professionals' lack of patient safety competencies threaten patients' lives, and increase patients, families, hospitals, and social burdens. The new nurse-related patient safety issues have particularly attracted much attention. The aim of this study was to examine the impacts of practice environment and job stress on new nurses' patient safety attitudes by employing the job demands-resources model. METHODS: The study used a cross-sectional structural equation modeling (SEM). A convenience sample of 370 new nurses was recruited from seven tertiary hospitals in Anhui province, China, from April 2022 to August 2022. Data were collected using self-report questionnaires including the Chinese version of the Nurse Job Stressors Scale, the Practice Environment Scale, and the Safety Attitudes Questionnaire. RESULTS: New nurses' patient safety attitudes scores were moderate (126.99 ± 14.39). Practice environment had a significant direct effect on job stress (ß = -0.337, t = 6.120), patient safety attitudes (ß = 0.604, t = 13.766), practice environment had an indirect effect on patient safety attitudes through job stress (ß = 0.066, t = 3.690), and the indirect effect accounted for 9.9% of the total effect. This model was able to explain 48.3% of patient safety attitudes with moderate prediction accuracy. CONCLUSIONS: This study emphasizes the importance of improving new nurses' attitudes toward patient safety. Hospital administrators should develop policies and strategies to address job characteristics, and establish a favorable work environment to reduce new nurses' job stress as well as to improve patient safety.

Factors influencing nursing faculty members' intent to stay: A structural equation modeling approach.

Intent to stay is a helpful indicator in predicting the turnover rate of nursing faculty members in academia. This descriptive, cross-sectional study aimed to identify the factors influencing nursing faculty members' intent to stay. The sample consisted of 350 nursing faculty members randomly selected from 53 nursing and midwifery training schools in Myanmar. Data were collected between June and October 2021. The eight instruments used showed satisfactory (0.80-1.00) for validity and (0.86-0.96) for reliability. Data were analyzed by descriptive statistics and structural equation modeling (SEM). The final modified model of intent to stay fit the empirical data and explained 81.30% of total variance for intent to stay. SEM revealed that job satisfaction and organizational commitment directly affected intent to stay; transformational leadership, job autonomy, and perceived organizational support indirectly affected intent to stay; and workload, age, and job stress, directly and indirectly, affected intent to stay. These results suggest nursing administrators and nursing leaders to develop appropriate strategies or design interventions for enhancing nursing faculty members' intent to stay.

[Study on the applicability of the Brief Job Stress Questionnaire based on classical test theory and item response theory].

Objective: To evaluate the quality and item characteristics of the Brief Job Stress Questionnaire (BJSQ) among employees in manufacturing and service industries. Methods: From December 2021 to December 2022, a total of 2077 employees from 4 manufacturing and service enterprises in Beijing were selected by the method of combining purpose sampling and convenience sampling. The Chinese version of BJSQ was used to carry out a survey on occupational stress from 57 items in 4 dimensions including job stress factors, stress response, social support factors and satisfaction. Classical test theory (CTT) was used to analyze the validity and reliability of the questionnaire. The Semejima hierarchical response model in item response theory (IRT) was used to analyze the differentiation a, difficulty coefficient b and information content of each item. Results: Among the 2077 subjects, the age M (Q(1), Q(3)) was 33 (28, 37) years old, and the working age M (Q(1), Q(3)) was 4 (2, 8) years. There were 723 (34.8%) people in manufacturing industry and 1354 (65.2%) people in service industry. Eleven common factors were extracted by exploratory factor analysis, with a cumulative variance contribution rate of 62.823%, the variance of the common factors of each entry ranging from 0.451 to 0.865, and the range of factor loading values from 0.413 to 0.825, with 5 items having cross-loadings. The results of the validation factor analysis showed that the model fit indexes of root means square error of approximation was 0.055, comparative fit index was 0.950, Tucker Lewis index was 0.948, and standardized root mean square was 0.066. Content validity results showed that the total scores of the Chinese version of the BJSQ were positively correlated with the scores of the 4 dimensions (r(s)=0.487-0.936, P<0.05) . The results of the reliability analysis showed that the Cronbach's alpha coefficient for the total questionnaire was 0.945, and the Cronbach's alpha coefficients of job stress factors, stress response and social support factors were 0.775, 0.957, and 0.830, respectively. The Spearman-Brown coefficient for the total questionnaire was 0.866, and for the 3 dimensions, it was 0.572, 0.882 and 0.772. The results of IRT analysis showed that only 1 of the 57 items had a differentiation a-value<0.30, the difficulty coefficient b-value of each item ranged from -12.02 to 11.09, of which 8 items had a difficulty coefficient that was too high, 3 items had a difficulty coefficient that was too low, and 3 items did not meet the requirements, and the average amount of information in each item ranged from 0.022 to 2.566, and there were 47 items with average amount of information>0.088 (5/57) . Conclusion: The Chinese version of BJSQ has good reliability and validity in the typical occupational groups of manufacturing and service industries in China, and most of the items have good performance, but some items still need to be further improved and optimized or deleted.

Coronary microvascular function in male physicians with burnout and job stress: an observational study.

BACKGROUND: As a professional group, physicians are at increased risk of burnout and job stress, both of which are associated with an increased risk of coronary heart disease that is at least as high as that of other professionals. This study aimed to examine the association of burnout and job stress with coronary microvascular function, a predictor of major adverse cardiovascular events. METHODS: Thirty male physicians with clinical burnout and 30 controls without burnout were included. Burnout was assessed with the Maslach Burnout Inventory and job stress with the effort-reward imbalance and overcommitment questionnaire. All participants underwent myocardial perfusion positron emission tomography to quantify endothelium-dependent (cold pressor test) and endothelium-independent (adenosine challenge) coronary microvascular function. Burnout and job stress were regressed on coronary flow reserve (primary outcome) and two additional measures of coronary microvascular function in the same model while adjusting for age and body mass index. RESULTS: Burnout and job stress were significantly and independently associated with endothelium-dependent microvascular function. Burnout was positively associated with coronary flow reserve, myocardial blood flow response, and hyperemic myocardial blood flow (r partial = 0.28 to 0.35; p-value = 0.008 to 0.035). Effort-reward ratio (r partial = - 0.32 to - 0.38; p-value = 0.004 to 0.015) and overcommitment (r partial = - 0.30 to - 0.37; p-value = 0.005 to 0.022) showed inverse associations with these measures. CONCLUSIONS: In male physicians, burnout and high job stress showed opposite associations with coronary microvascular endothelial function. Longitudinal studies are needed to show potential clinical implications and temporal relationships between work-related variables and coronary microvascular function. Future studies should include burnout and job stress for a more nuanced understanding of their potential role in cardiovascular health.

Refining Vendor-Defined Measures to Accurately Quantify EHR Workload Outside Time Scheduled With Patients.

Accurately quantifying clinician time spent on electronic health record (EHR) activities outside the time scheduled with patients is critical for understanding occupational stress associated with ambulatory clinic environments. We make 3 recommendations regarding EHR workload measures that are intended to capture time working in the EHR outside time scheduled with patients, formally defined as work outside of work (WOW): (1) separate all time working in the EHR outside of time scheduled with patients from time working in the EHR during time scheduled with patients, (2) do not exclude any time before or after scheduled time with patients, and (3) encourage the EHR vendor and research communities to develop and standardize validated, vendor-agnostic methods for measuring active EHR use. Attributing all EHR work outside time scheduled with patients to WOW, regardless of when it occurs, will produce an objective and standardized measure better suited for use in efforts to reduce burnout, set policy, and facilitate research.

The mediating role of job satisfaction and presenteeism on the relationship between job stress and turnover intention among primary health care workers.

BACKGROUND: Turnover problems among primary health care workers are a significant contributor to the shortage of health human resources. This study aims to determine the relationship between job stress and turnover intention among primary health care workers, as well as to examine the mediating effects of job satisfaction and presenteeism on this relationship. METHODS: Stratified random sampling and quota sampling were used to select 703 primary health care workers in Jilin Province, China in January 2020. Validated scales were used to measure turnover intention, job stress, job satisfaction, and presenteeism among primary health care workers. The study utilized a partial least squares structural equation modeling (PLS-SEM) approach to test the research hypotheses. RESULTS: The turnover intention score of primary health care workers in Jilin Province was 2.15 ± 1.03, and 19.5% of respondents reported a higher turnover intention. Significant sex and occupation differences were found, with a higher rate of turnover intention for male and doctor groups among primary health care workers. This study also revealed a positive correlation between job stress and turnover intention (ß = 0.235, P < 0.001), a significant negative correlation between job satisfaction and turnover intention (ß= -0.347, P < 0.001), and a significant positive correlation between presenteeism and turnover intention (ß = 0.153, P < 0.001). Moreover, the study revealed a significant indirect effect of job stress on turnover intention which was mediated by job satisfaction (ß = 0.183, P < 0.001) and presenteeism (ß = 0.078, P < 0.001). CONCLUSION: We confirmed the positive association between job stress and presenteeism with turnover intention, as well as the negative association between job satisfaction and turnover intention. Moreover, our study confirmed the mediating role of job satisfaction and presenteeism in the relationship between job stress and turnover intention. This study provides scientific evidence to address the turnover problem among primary health care workers.

Mental health and job stress of nurses in surgical system: what should we care.

BACKGROUND: Job stress has significant influence on the mental health of health care providers. The mental health and job stress of operating room nurses remain unclear. This study aimed to evaluate the mental health and job stress of nurses in surgical system in China, to provide evidences for clinical nurse management and care. METHODS: The nurses in the surgical system of our hospital were investigated by questionnaire in December 2022. The general information questionnaire, symptom check list 90 (SCL-90) and nurses' job stressor scale (NJSS) were used for data collection. Pearson correlation and logistic analysis were conducted to evaluate the related influencing factors. RESULTS: A total of 171 nurses in surgical system were investigated. The mental health level of nurses in operating room was low. The job pressure of the nurses in the operating room was in the middle level. The nursing profession and work, workload and distribution, working environment and resources, patient care, management and interpersonal relationship were all positively correlated with SCL-90 score of nurses in operating room. Logistic regression analysis indicated that age, year of work experience, professional ranks and titles both are the influencing factors of SCL-90 score and of nurses in operating room. CONCLUSIONS: The mental health of nurses in surgical system is affected by work pressure, ages, working years and professional titles. These factors should be considered in the psychological intervention of nurses in operating room in order to improve the health of clinical nurses.

Well-being of professional older adults' caregivers in Alberta's assisted living and long-term care facilities: a cross-sectional study.

BACKGROUND: For the care need of older adults, long-term care (LTC) and assisted living (AL) facilities are expanding in Alberta, but little is known about the caregivers' well-being. The purpose of the study was to investigate the physical health conditions, mental and emotional health (MEH), health behaviour, stress levels, quality of life (QOL), and turnover and absenteeism (TAA) among professional caregivers in Alberta's LTC and AL facilities. METHODS: This cross-sectional survey involved 933 conveniently selected caregivers working in Alberta's LTC and AL facilities. Standardised questions were selected from the Canadian Community Health Survey, Patient Health Questionnaire-9, and Short Form-36 QOL survey revalidated and administered to the participants. The new questionnaire was used to assess the caregivers' general health condition (GHC), physical health, health behaviour, stress level, QOL, and TAA. Data were analysed using descriptive statistics, Cronbach alpha, Pearson's correlation, one-way analysis of variance, and multiple linear regression. RESULTS: Of 1385 surveys sent to 39 facilities, 933 valid responses were received (response rate = 67.4%). The majority of the caregivers were females (90.8%) who were ≥ 35 years (73.6%), worked between 20 to 40 h weekly (67.3%), and were satisfied with their GHC (68.1%). The Registered Nurses had better GHC (mean difference [MD] = 0.18, p = 0.004) and higher TAA than the Health Care Aides (MD = 0.24, p = 0.005). There were correlations between caregivers' TAA and each of MEH (r = 0.398), QOL (r = 0.308), and stress (r = 0.251); p < 0.001. The most significant predictors of TAA were the propensity to quit a workplace or the profession, illness, job stress, and work-related injury, F (5, 551) = 76.62, p < 0.001, adjusted R2 = 0.998. CONCLUSION: Reducing the caregivers' job stressors such as work overload, inflexible schedule, and poor remuneration, and improving their quality of life, health behaviour, and mental, emotional, and physical health conditions may increase their job satisfaction and reduce turnover and absenteeism.

Job stress, a source of hypertension among workers in Sub-Saharan Africa: a scoping review.

BACKGROUND: Hypertension remains one of the leading risk factors for cardiovascular disease. Contrasting with the high-income countries where the rates of hypertension decline, it increases in Sub-Saharan African countries. The age group most affected by hypertension is the working population. Several studies carried out in Europe, North America, and Asia, underline the influence of job stress on the occurrence of hypertension. The objective of this review was to explore current knowledge about hypertension and job stress in Sub-Saharan Africa. METHODS: We conducted a scoping review using Arksey and O'Malley's framework to synthesize findings. We searched in PubMed, Scopus, and ProQuest databases. The inclusion criteria were peer-reviewed manuscripts published on March 1, 2023, conducted among workers in Sub-Saharan Africa, reported hypertension and job stress, and using quantitative methodologies. Data were assessed independently by two researchers. RESULTS: In total, 295 articles were identified from databases. Of these, only 12 articles met the inclusion criteria and were included in the review (9 cross-sectional studies and 3 case-control studies). These studies focused on sectors reported as stressful (health, banking, education, and industries). The prevalence of hypertension varied from 14.3% to 45.9%, with a high proportion of hypertensive participants (35.4%-70.6%) who were unaware that they had hypertension. Job stress was significantly associated with hypertension (OR = 2.4 [1.5-4.4]) and stress management was inversely associated with hypertension (r = -0.14, p < 0.05). However, no study reported an existing workplace health promotion program implemented, especially regarding cardiovascular disease risk factors. CONCLUSION: Data available in the literature show that stressful working conditions may be associated with hypertension. We are faced with an increasing prevalence of hypertension among workers in Sub-Saharan Africa, where a large proportion of them are unaware that they have hypertension. Thus, there is a need to implement workplace prevention and health promotion strategies in Sub-Saharan Africa.

The effects of COVID-19 event strength on job burnout among primary medical staff.

BACKGROUND: As a global pandemic, The Corona Virus Disease 2019 (COVID-19) has brought significant challenges to the primary health care (PHC) system. Health professionals are constantly affected by the pandemic's harmful impact on their mental health and are at significant risk of job burnout. Therefore, it is essential to gain a comprehensive understanding of how their burnout was affected. The study aimed to examine the relationship between COVID-19 event strength and job burnout among PHC providers and to explore the single mediating effect of job stress and work engagement and the chain mediating effect of these two variables on this relationship. METHODS: Multilevel stratified convenience sampling method was used to recruit 1148 primary medical staff from 48 PHC institutions in Jilin Province, China. All participants completed questionnaires regarding sociodemographic characteristics, COVID-19 event strength, job stress, work engagement, and job burnout. The chain mediation model was analyzed using SPSS PROCESS 3.5 Macro Model 6. RESULTS: COVID-19 event strength not only positively predicted job burnout, but also indirectly influenced job burnout through the mediation of job stress and work engagement, thereby influencing job burnout through the "job stress → work engagement" chain. CONCLUSIONS: This study extends the application of event systems theory and enriches the literature about how the COVID-19 pandemic impacted PHC medical staff job burnout. The findings derived from our study have critical implications for current and future emergency response and public policy in the long-term COVID-19 disease management period.