Too little appreciation for great expenditure? Workload and resources in ICUs

Prevalence of depression and depressive symptoms among intensive care nurses: A meta-analysis

BACKGROUND

Nurses in intensive care units (ICUs) experience more stressful workplace conditions, making them more vulnerable to high levels of depression compared with those working in other healthcare settings.

OBJECTIVES

This meta-analysis aimed to estimate the pooled prevalence of depression in ICU nurses.

METHODS

A systematic search was conducted in Medline, EMBASE, CINHO, and Web of Science databases. Studies that reported depression among ICU nurses measured by a validated tool were synthesized using a random-effects model. Differences in prevalence of depression by study-level characteristics were estimated using sub-group analysis. Heterogeneity was investigated using standard Chi-squared tests and the I² statistic.

RESULTS

Data were extracted from 19 cross-sectional studies (2003-2020) from 11 countries involving 7196 ICU nurses. The overall pooled prevalence of depression or depressive symptoms among ICU nurses was 24.99% (95% CI, 17.9%-32.7%) with high between-study heterogeneity (χ²  = 812, τ²  = 0.03, I²  = 98%, P < .01).

CONCLUSION

Depression appears to be common among ICU nurses. Considering its negative impact on the quality of life of staff, patient care, and the overall critical care work environment, effective interventions should be designed and implemented to improve psychological health in this population.

RELEVANCE TO CLINICAL PRACTICE

Findings of this review indicate that regular screening for depressive symptoms might be helpful, and access to professional help and supportive care should be provided if necessary.

Vulnerability and Protective Factors for PTSD and Depression Symptoms Among Healthcare Workers During COVID-19: A Machine Learning Approach

Background: Healthcare workers are at high risk for developing mental health problems during the COVID-19 pandemic. There is an urgent need to identify vulnerability and protective factors related to the severity of psychiatric symptoms among healthcare workers to implement targeted prevention and intervention programs to reduce the mental health burden worldwide during COVID-19. Objective: The present study aimed to apply a machine learning approach to predict depression and PTSD symptoms based on psychometric questions that assessed: (1) the level of stress due to being isolated from one's family; (2) professional recognition before and during the pandemic; and (3) altruistic acceptance of risk during the COVID-19 pandemic among healthcare workers. Methods: A total of 437 healthcare workers who experienced some level of isolation at the time of the pandemic participated in the study. Data were collected using a web survey conducted between June 12, 2020, and September 19, 2020. We trained two regression models to predict PTSD and depression symptoms. Pattern regression analyses consisted of a linear epsilon-insensitive support vector machine (ε-SVM). Predicted and actual clinical scores were compared using Pearson's correlation coefficient (r), the coefficient of determination (r²), and the normalized mean squared error (NMSE) to evaluate the model performance. A permutation test was applied to estimate significance levels. Results: Results were significant using two different cross-validation strategies to significantly decode both PTSD and depression symptoms. For all of the models, the stress due to social isolation and professional recognition were the variables with the greatest contributions to the predictive function. Interestingly, professional recognition had a negative predictive value, indicating an inverse relationship with PTSD and depression symptoms. Conclusions: Our findings emphasize the protective role of professional recognition and the vulnerability role of the level of stress due to social isolation in the severity of posttraumatic stress and depression symptoms. The insights gleaned from the current study will advance efforts in terms of intervention programs and public health messaging.

Anxiety symptoms and burnout among Chinese medical staff of intensive care unit: the moderating effect of social support

BACKGROUND

Social support can be a critical resource to help medical staff cope with stressful events; however, the moderating effect of social support on the relationship between burnout and anxiety symptoms has not yet been explored.

METHODS

The final sample was comprised of 514 intensive care unit physicians and nurses in this cross-sectional study. Questionnaires were used to collect data. A moderated model was used to test the effect of social support.

RESULTS

The moderating effect of social support was found to be significant (b = - 0.06, p = 0.04, 95%CI [- 0.12, - 0.01]). The Johnson-Neyman technique indicated that when social support scores were above 4.26 among intensive care unit medical staff, burnout was not related to anxiety symptoms.

CONCLUSIONS

This is the first study to test the moderating effect of social support on the relationship between burnout and anxiety symptoms among intensive care unit staff.

Chinese nurses are at high risk for suicide: A review of nurses suicide in China 2007-2016

OBJECTIVE

This study summarized the cases of Chinese nurses' suicide during 2007-2016.

METHODS

We reviewed public reports on local media, and medical websites.

RESULT

A total of 46 cases of nurse suicide reported or published from 2007 to 2016. In these 46 cases, the proportion of female suicide is 98%. Most cases of suicide occurred in nurses aged 18-50 years. The most common way of suicide was jump from building. Nurse suicide occurred more often in full-service tertiary hospitals.

CONCLUSION

The Chinese Government and medical organization should be aware of severity of suicide, and take action to be avoided of more suicide in Chinese nurses.

Social support in the workplace for physicians in specialization training

When becoming a specialist, learning-through-service plays a significant role. The workplace affords good opportunities for learning, but the service-learning period may also impose stress on phycisians in specialization training. In medical work, social support has proved to be a very important factor in managing stress. Social support may afford advantages also for learning and professional identity building. However, little was known about how social support is perceived by doctors in specialization training. This study aimed to understand the perceptions of physicians in specialization training regarding social support communication in their workplace during their learning-through-service period. The study was conducted qualitatively by inductively analyzing the physicians' descriptions of workplace communication. The dataset included 120 essays, 60 each from hospitals and primary healthcare centres. Physicians in specialization training explained the need of social support with the responsibilities and demands of their clinical work and the inability to control and manage their workloads. They perceived that social support works well for managing stress, but also for strengthening relational ties and one's professional identity. A leader's support was perceived as being effective, and both senior and junior colleagues were described as an important source of social support. Also co-workers, such as the individual nurse partner with whom one works, was mentioned as an important source of social support. The results of this study indicate that social support works at the relational and identity levels, which is due to the multi-functional nature of workplace communication. For example, consultation functions as situational problem-solving, but also the tone of social interaction is meaningful. Thus, strengthening one's professional identity or collegial relationships requires further attention to workplace communication. Abbreviations PiST: Physician in specialization training.

Dysfunctional psychological responses among Intensive Care Unit nurses: a systematic review of the literature

OBJECTIVE

To systematically review evidence on dysfunctional psychological responses of Intensive Care Units nurses (ICUNs), with focus on anxiety and depressive symptoms and related factors.

METHOD

A literature search was performed in CINAHL, PubMed and Scopus databases, from 1999 to present, along with a critical appraisal and synthesis of all relevant data. The following key words, separately and in combination, were used: "mental status" "depressive symptoms" "anxiety" "ICU nurses" "PTSD" "burnout" "compassion fatigue" "psychological distress".

RESULTS

Thirteen quantitative studies in English and Greek were included. The results suggested increased psychological burden in ICUNs compared to other nursing specialties, as well as to the general population.

CONCLUSIONS

Studies investigating psychological responses of ICUNs are limited, internationally. Future longitudinal and intervention studies will contribute to a better understanding of the phenomenon.

Lifestyle and Depression among Hong Kong Nurses

Recent longitudinal data suggest a close association between depression and lifestyle. Little work to date has estimated the prevalence of depression in the nursing workforce in China, nor considered what lifestyle factors might be correlated with it—a gap filled by the present study. The study’s web-based cross-sectional survey solicited data from qualified nurses aged between 21 and 65 registered with the Hong Kong Nursing Council. The Depression, Anxiety and Stress Scale 21 was used to measure 850 nurses for depression, anxiety and symptoms of stress; a generalized linear regression model examined associations between lifestyle factors and depression. Mean depression symptom scores show a downward linear trend for male and female participants. Gender and age, however, did not emerge as significant predictors of depression. Three lifestyles factors (sleep, entertainment and hobbies) showed a significant association with depression. Nurses should make therapeutic lifestyle changes to improve their work-life balance and safeguard their functioning at work and personal well-being.

Depression, Anxiety and Symptoms of Stress among Hong Kong Nurses: A Cross-sectional Study

Recent epidemiological data suggests 13.3% of Hong Kong residents suffered from Common Mental Disorders, most frequently mixed anxiety and depressive disorder. This study examines the weighted prevalence and associated risk factors of depression, anxiety and stress among Hong Kong nurses. A total of 850 nurses were invited to participate in this cross-sectional study. Participants completed the Depression, Anxiety and Stress Scale 21 and multiple logistic regression was used to determine significant relationships between variables. Chronic past-year illness and poor self-perceived mental health were significant correlates of past-week depression, anxiety and stress. It confirmed further positive correlations between depression and divorce, widowhood and separation, job dissatisfaction, disturbance with colleagues, low physical activity levels and sleep problems. Marital status; general medicine; sleep problems, and a lack of leisure significantly correlated with anxiety. Stress was significantly associated with younger age, clinical inexperience, past-year disturbance with colleagues, low physical activity, no leisure and drinking alcohol. Nurses were more depressed, anxious and stressed than the local general population, with over one-third of our respondents classified as subject to these disorders.

The mental health of nurses in acute teaching hospital settings: a cross-sectional survey

Background

Nursing is an emotionally demanding profession and deficiencies in nurses’ mental wellbeing, characterised by low vitality and common mental disorders, have been linked to low productivity, absenteeism and presenteeism. Part of a larger study of nurses’ health, the aim of this paper was to describe the mental health status and related characteristics of nurses working in two acute metropolitan teaching hospitals.

Methods

A cross sectional survey design was used.

The Registered and Enrolled Nurse workforce, employed on any form of contract, at two teaching hospitals in Sydney Australia were invited to participate. The survey tool was compiled of validated tools and questions. Family and medical history and health risk-related characteristics, current psycho-active medications, smoking status, alcohol intake, eating disorders, self-perceived general health, mental health and vitality, demographic, social and occupational details were collected.

Results

A total of 1215 surveys were distributed with a usable response rate of 382 (31.4%). Altogether 53 nurses (14%) reported a history of mental health disorders, of which n = 49 (13%) listed diagnoses of anxiety and/or depression; 22 (6%) were currently taking psychoactive medication. Symptoms that could potentially indicate a mental health issue were more common, with 248 (65.1%) reporting they had experienced symptoms sometimes or often in the last 12 month.

Nurses had better mental health if they had better general health, lived with a spouse/ partner rather than alone, had fewer symptoms, sleep problems or disordered eating behaviours, were not an informal carer and did not work nights. Nurses had greater vitality if they were male, had better general health, fewer sleep problems or symptoms generally and lived with a spouse/ partner rather than alone; less vitality if they were an informal carer or had disordered eating.

Conclusion

Nurses and their managers should strive to create workplaces where working practices promote nurses’ health and wellbeing, or at least are configured to minimise deleterious effects; where both nurses and their managers are aware of the potential for negative effects on the mental health of the workforce; where cultures are such that this can be discussed openly without fear of stigma or denigration.

Working conditions and effort-reward imbalance of German physicians in Sweden respective Germany: a comparative study

OBJECTIVE

Work stress among physicians is a growing concern in various countries and has led to migration. We compared the working conditions and the work stress between a migrated population of German physicians in Sweden and a population of physicians based in Germany. Additionally, specific risk factors for work stress were examined country wise.

METHOD

Using a cross-sectional design, 85 German physicians employed in Sweden were surveyed on working conditions and effort-reward imbalance and compared with corresponding data on 561 physicians working in Germany. Multiple linear regression analyses were applied on both populations separately to model the associations between working conditions and effort-reward ratio (ERR), adjusted for a priori confounders.

RESULTS

German physicians in Sweden had a significantly lower ERR than physicians in Germany: mean (M) = 0.47, standard deviation (SD) = 0.24 vs. M = 0.80, SD = 0.35. Physicians in Sweden worked on average 8 h less per week and reported higher work support and responsibility. Multivariate analyses showed in both populations a negative association between work support and the ERR (β = -0.148, 95% CI -0.215 to (-0.081) for physicians in Sweden and β = -0.174, 95% CI -0.240 to (-0.106) for physicians in Germany). Further significant associations with the ERR were found among physicians in Sweden for daily breaks (β = -0.002, 95% CI -0.004 to (-0.001)) and among physicians in Germany for working hours per week (β = 0.006, 95% CI 0.002-0.009).

CONCLUSION

Our findings show substantial differences in work stress and working conditions in favor of migrated German physicians in Sweden. To confirm our results and to explain demonstrated differences in physicians' work stress, longitudinal studies are recommended.