Analysis of physical and physiological workloads of nursing in the surgical center

Effects of nursing workload on medication administration errors: A quantitative study

BACKGROUND

Medication administration errors by nurses form a high proportion of medical errors in medical institutions. Studies have shown that such errors are closely linked to nursing workload.

OBJECTIVE

To quantitatively explore the effects of different types of nursing workloads on different medication administration errors.

METHOD

Three medical institutions were selected as the objects of error data collection based on the following criteria: the medical institution experience in error data collection, the complete range of medical departments, and the institution size. Error cases were self-reported from all nurses in all medical departments. The relationship between the error types and nursing workload types were quantitatively examined using partial least squares and structural equation modeling.

RESULTS

The study recorded 290 medication administration errors, and extracted four error types and nine nursing workload types. The workload type for each error type was also identified and the path coefficient was found to be between 0.087 to 0.416.

CONCLUSION

This study confirmed the effect of workload on medication administration errors and determined a theoretical mechanism for this effect. Research results will provide the evidence for nursing managers to reduce workload and ensure quality in the nursing administration process.

Measuring emotional variables in occupational performance: A scoping review

BACKGROUND: As interest in job-related psychology increased, the need to focus on understanding workplace stress was emphasized. Negative emotional states such as anxiety and stress permeate the organization and, if uncontrolled, can negatively impact the health and work performance of workers. Therefore, attempts to analyze various signals to understand human emotional states or attitudes may be important for future technological development. OBJECTIVE: The purpose of this study was to identify what biological variables can discriminate emotions that can significantly affect work results. METHODS: Databases (Embase, PsychINFO, PubMed, and CINAHL) were searched for all relevant literature published as of December 31, 2019. RESULTS: Brain activity (BA) and heart rate (HR) or heart rate variability (HRV) are adequate for assessing negative emotions, while BA, galvanic skin response (GSR), and salivary samples (SS) can confirm positive and negative emotions. CONCLUSION: In the future, researchers should study measurement tools and bio-related variables while workers perform tasks and develop intervention strategies to address emotions associated with work. This may enable workers to perform tasks more efficiently, prevent accidents, and satisfy clients.

The assessment of heavy work investment: Psychometric properties of the WI-10 on a sample of Israeli workers

BACKGROUND: Heavy Work Investment (HWI) is a construct that covers both positive and negative behaviors characterized by a high investment of time and energy in working (work engagement and workaholism, respectively). In the literature, it has been introduced, recently, the Work-related Inventory (WI-10) that allows evaluating four types of worker, three of which are HWIs: disengaged workaholics, engaged workaholics, engaged workers, and detached workers. OBJECTIVE: This study aims to validate the Hebrew WI-10 on Israeli workers. METHODS: We recruited a convenient sample of 459 workers (about half females and half males) with a mean age of 37.12±10.33. We performed Confirmatory Factor Analysis, convergent and divergent validity analyses. Finally, we calculated the cut-off scores corresponding to high and low workaholism and work engagement. RESULTS: We found support for the 10-item (2 filler) and 2-factor structure (Workaholism and Work Engagement) of the WI-10, as well as for its good psychometric properties. CONCLUSIONS: The WI-10 may be used in future research aimed at disentangling the question about the positive and adverse effects that might be associated with different types of HWI.

The association between moral distress and mental health among nurses working at selected hospitals in Iran during the COVID-19 pandemic

BACKGROUND

In the event of an epidemic outbreak, the mental health of medical staff, including nurses who serve on the frontlines of hospitals, can be affected; thus, the identification of factors affecting nurses' mental health is of importance.

OBJECTIVE

This study aimed to examine the association between moral distress and the mental health of nurses working at four selected hospitals in Iran during the coronavirus disease 2019 (COVID-19) pandemic.

METHODS

A cross-sectional questionnaire survey was conducted on 296 nurses working at the selected hospitals in Bushehr and Shiraz (south of Iran) at the time of the COVID-19 outbreak. The collected data were analyzed via logistic regression analysis.

RESULTS

The mean scores for nurses' moral distress were low (54.31±24.84). The results of this study indicated more symptoms of mental issues among nurses (73.60%). Moreover, a significant association was observed between mental health and moral distress. Among the examined demographic variables, only gender had a significant association with mental health (p-value = 0.014).

CONCLUSION

The results of this study indicated that an increase in moral distress would lead to a significant increase in mental health issues of the examined nurses. Nurse managers and hospital policymakers should develop strategies to enhance nurses' level of mental health, as well as providing adequate emotional and family support for nurses. Considering the intensifying role of gender in this association, timely interventions are necessary to reduce the negative effects of workplace pressure/stress on female nurses.