Using system dynamics modelling to show the effect of nurse workload on nurses' health and quality of care

Influence of extended working hours and physical recovery on absenteeism in the footwear industry from a system dynamics model

Objectives. Work-related musculoskeletal disorders (WMSDs) are recurrent in the footwear industry, resulting in absenteeism. This study aimed to quantitatively analyze the influence of overtime work and physical recovery time on the occurrence of WMSD-related absenteeism using a system dynamics model. As ergonomic methods have limitations in quantitatively simulating the behavior of these relationships, the integration of computational modeling techniques has emerged as a methodological alternative to bridge this gap. Methods. An ergonomic work analysis (EWA) was developed in a production cell of a large company. A model of causal relationships (causal loop diagram) and a simulation model (flow and stock diagram) were then developed, where three scenarios for overtime and physical recovery time were analyzed. Results. Working an additional hour resulted in a 42% increase in physical overload, leading to 7.62 leave requests per year and 78.7 days of employee absenteeism. Increasing the physical recovery time by 15 min reduced the overload to 36.5%, resulting in 6.8 leave requests per year and 71.1 days of employee absenteeism. Conclusions. Properly managing excess workload and providing adequate physical recovery for professionals is necessary to mitigate the productivity impacts of absenteeism in the footwear industry.

Incorporating biofeedback into the Mindfulness in Motion Intervention for health care professionals: Impact on sleep and stress

CONTEXT

Health care providers (HCP) experience high stress and burnout rates. Mindfulness Based Interventions (MBI) with biofeedback may help improve resiliency but require further research.

DESIGN AND STUDY PARTICIPANTS

Aims were to evaluate changes in sleep patterns, nocturnal physiology, stress, mood disturbances, and perceived experience with biofeedback during the Mindfulness in Motion (MIM) intervention. Data from 66 HCP were included after removing those below 75 % compliance with wearable sensors and wellness surveys. Participants were enrolled in MIM, including eight weekly one-hour virtually delivered synchronous group meetings and ∼10 min of mindfulness home practice at least 3 times per week using a mobile application. Participants wore wearable sensors to monitor sleep and nocturnal physiology and completed short daily stress and mood disturbances.

RESULTS

According to mixed effect models, no sleep nor physiological metrics changed across MIM (p > 0.05). More time was spent in bed after MIM sessions (8.33±1.03 h) compared to night before (8.05±0.93 h; p = 0.040). Heart rate variability was lower nights after MIM (33.00±15.59 ms) compared to nights before (34.50±17.04 ms; p = 0.004) but was not clinically meaningful (effect= 0.033). Significant reductions were noted in perceived stress at weeks 3 through 8 compared to Baseline and lower Total Mood Disturbance at weeks 3, 5, 6, and 8 compared to Baseline (p < 0.001).

CONCLUSIONS

Participating in the MIM with mobile applications and wearable sensors reduced perceived stress and mood disturbances but did not induce physiological changes. Additional research is warranted to further evaluate objective physiological outcomes while controlling for confounding variables (e.g., alcohol, medications).

Technological innovation for workload allocation in nursing care management: an integrative review

Background

Technology reduces the nursing workload, improve the quality care processes, patient's safety, and avoid staff burnout. Innovative technologies are disrupting healthcare systems by improving the efficiency of processes and management. There is a discussion on the benefits, challenges, and barriers of these technologies and considering human factors of nursing management. The aim was to analyze the influence of technologies on the distribution of workload for nursing care management.

Methods

An integrative literature review was performed. Four databases were searched: Scopus, Scielo, PUBMED, and CINALH following PRISMA guidelines. Articles published from January 2016 to December 2020, published in English, Spanish and Portuguese were included. Studies were excluded when they were not original research, did not met the quality criteria or they did not answer the research questions. Quality appraisal was performed using the Crowe Critical Appraisal Tool version 1.4 (CCAT). Two reviewers independently examined the title and abstract for eligibility according to the inclusion and exclusion criteria.

Results

2818 potentially relevant articles were found, but once the inclusion and exclusion criteria in the abstracts were analyzed, 177 remained for evaluation. After following the PRISMA Guidelines, 35 studies were included in the review. Three categories were identified: Nursing workload; Information technologies and technological means for management; Technology acceptance.

Conclusions

Technology has the potential to improve care management by estimating nurse workload in ICUs and non-critical units, but scientific evidence is more detailed in the former type of services. The literature provides insights about the factors that factors and the barriers that promote the technology acceptance and usability. We did not find studies comparing technologies and no scientific evidence proving improvements in care.

Relationship between fear of COVID-19 and mental health of Chinese nurses: The mediating effects of psychological capital and burnout

AIM

The aim of the study was to investigate the correlation between fear of COVID-19 and mental health of nurses and the effects of psychological capital and burnout in this relation.

DESIGN

A cross-sectional study.

METHODS

The online surveys were conducted among mainland Chinese nurses. Participants (n = 445; average age 32.89 ± 6.76 years) completed an online-questionnaire based on the Fear of COVID-19 Scale, the Psychological Capital Scale, Maslach Burnout Inventory Human Services Survey for Medical Professionals Scale and the 12-Item Short Form Health Survey. Data analysis was conducted by Pearson's correlation analysis, Harman single-factor test and the bootstrap method for mediating effect testing.

RESULTS

(1) The study demonstrated a significant direct effect of fear of COVID-19 on nurses' mental health, as well as on mediating factors such as burnout and psychological capital. (2) Regression analyses confirmed that while psychological capital bolstered mental health, burnout undermined it, with fear of COVID-19 further imposing a negative influence. (3) Fear of COVID-19 exerted an effect on the mental health of nurses by the independent and chain intermediary functions of psychological capital and burnout, resulting in a total mediating effect of -0.233.

The better work, better care framework: 7 strategies for sustainable healthcare system process improvement

Healthcare systems are under pressure to control costs and improve performance. Efforts to apply improvement trends such as "Lean" and other industrial engineering approaches have led to degradation of the working environment for healthcare professionals. Research is increasingly demonstrating how poor working environments contribute to declines in care quality and has led to calls for a "quadruple aim" with a focus on the working environment alongside quality, cost, and patient experience factors. This paper contributes to the debate by using a "systems" perspective to propose seven strategies by which healthcare systems might be improved without compromising the working environment. This article presents a rationale for these strategies based on current organisational psychology and human factors research and how these strategies might be deployed in practice. The authors argue that better working conditions leads to better care for patients and presents a viable approach for both practitioners and researchers to pursue the "Better Work, Better Care" agenda.

The effect of full-time culture on quality and safety of care – a literature review

Purpose

The purpose of this study is to increase knowledge and understanding of the relationship between full-time-culture and the outcome for quality and safety of care.

Design/methodology/approach

The paper is a literature review with a qualitatively oriented thematic analysis concerning quality or safety outcomes for patients, or patients and staff when introducing a full-time culture.

Findings

Identified factors that could have a positive or negative impact on quality and patient safety when introducing full-time culture were length of shift, fatigue/burnout, autonomy/empowerment and system/structure. Working shifts over 12 h or more than 40 h a week is associated with increased adverse events and errors, lower quality patient care, less attention to safety concerns and more care left undone. Long shifts give healthcare personnel more flexibility and better quality-time off, but there is also an association between long shifts and fatigue or burnout. Having a choice and flexibility around shift patterns is a predictor of increased wellbeing and health.

Originality/value

A major challenge across healthcare services is having enough qualified personnel to handle the increasing number of patients. One of the measures to get enough qualified personnel for the expected tasks is to increase the number of full-time employees and move towards a full-time culture. It is argued that full-time culture will have a positive effect on work environment, efficiency and quality due to a better allocation of work tasks, predictable work schedule, reduced sick leave, and continuity in treatment and care. There is limited research on how the introduction of full-time culture will affect the quality and safety for patients and staff, and few studies have been focusing on the relationship between longer shift, work schedule, and quality and safety of care.

Intention to leave Nursing during the COVID-19 pandemic

OBJECTIVE

to investigate the percentage of professionals with an intention to leave Nursing during the COVID-10 pandemic, as well as the factors associated with this outcome.

METHOD

a cross-sectional study conducted by applying questionnaires to 890 Nursing professionals from the municipality of Pelotas (RS). The outcome was identified by means of self-reports obtained from the question itself. Relative Risks, as well as their Confidence Intervals (95%), were calculated for the independent variables by means of unadjusted and adjusted Poisson regression.

RESULTS

the percentage of professionals who stated their intention to leave Nursing was 24.6% (n=219). There was a positive association between the outcome and higher schooling levels, negative evaluation of institutional support, moderate or intense overload, and skin lesions. A negative association was also observed between the outcome and individuals aged 51 years old or more.

CONCLUSION

except for skin lesions, aspects such as lack of support and overload, although they may have been intensified during the pandemic, do not represent a new fact in the health services. In this sense, the associations found in the study reflect the need for cross-sectional actions to promote retention of professionals.

A deep learning based multimodal interaction system for bed ridden and immobile hospital admitted patients: design, development and evaluation

BACKGROUND

Hospital cabins are a part and parcel of the healthcare system. Most patients admitted in hospital cabins reside in bedridden and immobile conditions. Though different kinds of systems exist to aid such patients, most of them focus on specific tasks like calling for emergencies, monitoring patient health, etc. while the patients' limitations are ignored. Though some patient interaction systems have been developed, only singular options like touch, hand gesture or voice based interaction were provided which may not be usable for bedridden and immobile patients.

METHODS

At first, we reviewed the existing literature to explore the prevailing healthcare and interaction systems developed for bedridden and immobile patients. Then, a requirements elicitation study was conducted through semi-structured interviews. Afterwards, design goals were established to address the requirements. Based on these goals and by using computer vision and deep learning technologies, a hospital cabin control system having multimodal interactions facility was designed and developed for hospital admitted, bedridden and immobile patients. Finally, the system was evaluated through an experiment replicated with 12 hospital admitted patients to measure its effectiveness, usability and efficiency.

RESULTS

As outcomes, firstly, a set of user-requirements were identified for hospital admitted patients and healthcare practitioners. Secondly, a hospital cabin control system was designed and developed that supports multimodal interactions for bedridden and immobile hospital admitted patients which includes (a) Hand gesture based interaction for moving a cursor with hand and showing hand gesture for clicking, (b) Nose teeth based interaction where nose is used for moving a cursor and teeth is used for clicking and (c) Voice based interaction for executing tasks using specific voice commands. Finally, the evaluation results showed that the system is efficient, effective and usable to the focused users with 100% success rate, reasonable number of attempts and task completion time.

CONCLUSION

In the resultant system, Deep Learning has been incorporated to facilitate multimodal interaction for enhancing accessibility. Thus, the developed system along with its evaluation results and the identified requirements provides a promising solution for the prevailing crisis in the healthcare sector.

TRIAL REGISTRATION

Not Applicable.

Research on Supply and Demand of Aged Services Resource Allocation in China: A System Dynamics Model

With the rapid growth of the elderly population of China in recent years, the service demands of older Chinese people continue to increase. The increasingly severe situation with respect to the elderly population is an important social problem that China will face for a long time into the future. It is urgent to solve the problem of how to scientifically carry out allocation planning of service resources for the aged and guide the effective supply of service resources. This paper analyzes the factors affecting service resources for the aged, divides China’s service resource supply and demand system into a supply subsystem, a demand subsystem, and a population and economy subsystem. Using system dynamics methods to analyze the causal relationship between variables and the state space method to build a mathematical model and perform simulation analysis, we research the the current situation of China’s service resources supply and demand balance for the aged. In addition, we put forward resource configuration optimization measures for the future allocation of service resources for the aged, providing a practical basis for future decision-making.

Capturing challenges and trade-offs in healthcare work using the pressures diagram: An ethnographic study

Healthcare workers must balance competing priorities to deliver high-quality patient care. Rasmussen's Dynamic Safety Model proposed three factors that organisations must balance to maintain acceptable performance, but there has been little empirical exploration of these ideas, and little is known about the risk trade-offs workers make in practice. The aim of this study was to investigate the different pressures that healthcare workers experience, what risk trade-off decisions they make in response to pressures, and to analyse the implications for quality and safety. The study involved 88.5 h of ethnographic observations at a large, teaching hospital in central London. The analysis revealed five distinct categories of hospital pressures faced by healthcare workers: efficiency, organisational, workload, personal, and quality and safety pressures. Workers most often traded-off workload, personal, and quality and safety pressures to accommodate system-level priorities. The Pressures Diagram was developed to visualise risk trade-offs and prioritising decisions and to facilitate communication about these aspects of healthcare work.

Effects of mobile-based mindfulness meditation for mental health of nurses: a protocol for systematic review and meta-analysis

INTRODUCTION

Existing studies have shown that mobile-based mindfulness meditation (MMM) can have a certain impact on nurses' mental health problems, but its specific effect and the effect on specific mental health problems such as stress, anxiety, depression, mindfulness, well-being and resilience are not clear.

METHODS AND ANALYSIS

This study protocol follows the Preferred Reporting Items for Systematic Review and Meta-analysis Protocols guidelines. Electronic search through PubMed, Web of Science, EBSCO, Cochrane Library, CINAHL, PsycINFO, ERIC, Embase and three Chinese databases namely CNKI, Wan Fang and Chinese Biology Medicine disc. The inclusion criteria follow the PICO principle, which is defined translate the question into a searchable and answerable question . P (patient/population): clinical characteristics of patients; I (intervention or exposure): treatment measures or exposure factors of concern; C (comparison): control measure.; O (outcome): outcome indicator of concern. Registered nurses, preregistered nurses, midwives and nursing students will all be included, studies using MMM as intervention to improve mental health of nurses, compared with waitlist controls or traditional methods groups, outcomes assessment of stress, anxiety, depression, mindfulness, well-being and resilience will meet the inclusion criteria. Studies designed randomised controlled trails (RCTs) of quasiexperimental and written in English or Chinese will be eligible. Search time was from inception of each database to July 2022. Two reviewers screen and assess studies for inclusion and extract data independently; any dispute will be settled through discussion. If the discussion still fails, the third author will make a decision. For RCT, risk of bias will be assessed using Cochrane risk-of-bias tool for randomised trials (RoB 2), and for non-RCT studies, risk of bias in non-randomised studies of interventions (ROBINS-I) tool will be performed. Meta-analysis will be performed using RevMan software if sufficient number of comparable studies are retrieved.

ETHICS AND DISSEMINATION

This is a study protocol of meta-analysis; no primary data will be collected, and no ethics assessment is required. The study results will be presented in a peer-reviewed scientific publication.

PROSPERO REGISTRATION NUMBER

CRD42021277932.

Perception of the image of the nursing profession and its relationship with quality of care

Background

Good quality of care (QOC) is related to high recovery rates, fewer mistakes, and better outcomes in general. The perception of the nursing profession (NP) among nurses has many social and professional implications, and it is important to understand the implications regarding their QOC. The aim of the study was to examine whether there is a relationship between the self-image of nursing and the nurses’ QOC, and whether men and women differ in their nursing image (NI).

Methods

A cross-sectional study applied among nursing teams employed in various inpatient wards: An online questionnaire was distributed and included (1) Sociodemographic details; (2) Image of the nursing profession; and (3) Nurses’ perception of their nursing care quality.

Results

The results show a significant positive relationship between the NI perception among nurses and their perceptions of the QOC they provide. No sex differences were found between male and female nurses.

Conclusion

This study highlights the correlation between the NP’s self-image and self-reported QOC. Health policy makers should build national programs that improve the image of nursing among nursing teams, and create an empowering and positive working environment, which would most probably improve the quality of nursing care.

Data Science Trends Relevant to Nursing Practice: A Rapid Review of the 2020 Literature

BACKGROUND

The term "data science" encompasses several methods, many of which are considered cutting edge and are being used to influence care processes across the world. Nursing is an applied science and a key discipline in health care systems in both clinical and administrative areas, making the profession increasingly influenced by the latest advances in data science. The greater informatics community should be aware of current trends regarding the intersection of nursing and data science, as developments in nursing practice have cross-professional implications.

OBJECTIVES

This study aimed to summarize the latest (calendar year 2020) research and applications of nursing-relevant patient outcomes and clinical processes in the data science literature.

METHODS

We conducted a rapid review of the literature to identify relevant research published during the year 2020. We explored the following 16 topics: (1) artificial intelligence/machine learning credibility and acceptance, (2) burnout, (3) complex care (outpatient), (4) emergency department visits, (5) falls, (6) health care-acquired infections, (7) health care utilization and costs, (8) hospitalization, (9) in-hospital mortality, (10) length of stay, (11) pain, (12) patient safety, (13) pressure injuries, (14) readmissions, (15) staffing, and (16) unit culture.

RESULTS

Of 16,589 articles, 244 were included in the review. All topics were represented by literature published in 2020, ranging from 1 article to 59 articles. Numerous contemporary data science methods were represented in the literature including the use of machine learning, neural networks, and natural language processing.

CONCLUSION

This review provides an overview of the data science trends that were relevant to nursing practice in 2020. Examinations of such literature are important to monitor the status of data science's influence in nursing practice.

Identifying Constraints on Everyday Clinical Practice: Applying Work Domain Analysis to Emergency Department Care

BACKGROUND

Emergency departments (EDs) are complex socio-technical work systems that require staff to manage patients in an environment of fluctuating resources and demands. To better understand the purpose, and pressures and constraints for designing new ED facilities, we developed an abstraction hierarchy model as part of a work domain analysis (WDA) from the cognitive work analysis (CWA) framework. The abstraction hierarchy provides a model of the structure of the ED, encompassing the core objects, processes, and functions relating to key values and the ED's overall purpose.

METHODS

Reviews of relevant national and state policy, guidelines, and protocol documents applicable to care delivery in the ED were used to construct a WDA. The model was validated through focus groups with ED clinicians and subsequently validated using a series of WDA prompts.

RESULTS

The model shows that the ED system exhibits extremely interconnected and complex features. Heavily connected functions introduce vulnerability into the system with function performance determined by resource availability and prioritization, leading to a trade-off between time and safety priorities.

CONCLUSIONS

While system processes (e.g., triage, fast-track) support care delivery in ED, this delivery manifests in complex ways due to the personal and disease characteristics of patients and the dynamic state of the ED system. The model identifies system constraints that create tension in care delivery processes (e.g., electronic data entry, computer availability) potentially compromising patient safety.

APPLICATION

The model identified aspects of the ED system that could be leveraged to improve ED performance through innovative ED system design.

ABSENTEEISM IN NURSING IN THE FACE OF COVID-19: A COMPARATIVE STUDY IN A HOSPITAL FROM SOUTHERN BRAZIL

ABSTRACT Objective to compare absenteeism in Hospital Nursing before and during the COVID-19 pandemic. Method cross-sectional study. It involved compilation of the records of absence from Nursing work at a university hospital in southern Brazil in March, April and May 2019 (n=622) and during the same period in 2020 (n=475). The data were analyzed by means of descriptive and analytical statistics. Results both periods presented the same absence frequencies in women (98.4%; 98.3%), aged between 40 and 49 years old (47.9%; 44.8%) and working in wards for adults (30.7%; 29.2%). Absenteeism-Disease was the most prevalent cause (48.4%; 48%). The absolute number of absence cases was higher in the pre-pandemic period; however, the time in days and hours lost, as well as the absenteeism rate (13.9; 18.6%), was significantly higher (p-value<0.001) in the current pandemic period. Conclusion the COVID-19 pandemic exerted an impact on the increase in Hospital Nursing absenteeism.

Intención de abandonar la profesión de Enfermería durante la pandemia del COVID-19

Resumen Objetivo: investigar el porcentaje de profesionales con intención de abandonar la profesión de Enfermería durante la pandemia del COVID-19, así como los factores asociados con este desenlace. Método: estudio transversal realizado por medio de cuestionarios aplicados a 890 profesionales de Enfermería del municipio de Pelotas (RS). El desenlace se identificó por medio de autoinformes obtenidos a partir de la pregunta en sí. Por medio de regresión de Poisson ajustada y no ajustada, se calculó el Riesgo Relativo, al igual que sus Intervalos de Confianza (95%), para las variables independientes. Resultados: el porcentaje de profesionales que manifestaron su intención de abandonar la profesión de Enfermería fue del 24,6% (n=219). Se registró una asociación positiva entre el desenlace y nivel de estudios más elevado, evaluación negativa del apoyo institucional, sobrecarga moderada o intensa y lesiones en la piel. También se observó una asociación negativa entre el desenlace y personas de al menos 51 años de edad. Conclusión: salvo por las lesiones en la piel, aspectos como la falta de apoyo y la sobrecarga, aunque pudieran haberse visto intensificados durante la pandemia, no representan un hecho novedoso en los servicios de salud. En este sentido, las asociaciones que se encontraron en el estudio reflejan la necesidad de implementar acciones transversales para promover retención de profesionales.

Intention to leave Nursing during the COVID-19 pandemic

Objective:

to investigate the percentage of professionals with an intention to leave Nursing during the COVID-10 pandemic, as well as the factors associated with this outcome.

Method:

a cross-sectional study conducted by applying questionnaires to 890 Nursing professionals from the municipality of Pelotas (RS). The outcome was identified by means of self-reports obtained from the question itself. Relative Risks, as well as their Confidence Intervals (95%), were calculated for the independent variables by means of unadjusted and adjusted Poisson regression.

Results:

the percentage of professionals who stated their intention to leave Nursing was 24.6% (n=219). There was a positive association between the outcome and higher schooling levels, negative evaluation of institutional support, moderate or intense overload, and skin lesions. A negative association was also observed between the outcome and individuals aged 51 years old or more.

Conclusion:

except for skin lesions, aspects such as lack of support and overload, although they may have been intensified during the pandemic, do not represent a new fact in the health services. In this sense, the associations found in the study reflect the need for cross-sectional actions to promote retention of professionals.

Reducing failures in daily medical practice: Healthcare failure mode and effect analysis combined with computer simulation

This study proposes a risk analysis approach for complex healthcare processes that combines qualitative and quantitative methods to improve patient safety. We combine Healthcare Failure Mode and Effect Analysis with Computer Simulation (HFMEA-CS), to overcome widely recognised HFMEA drawbacks regarding the reproducibility and validity of the outcomes due to human interpretation, and show the application of this methodology in a complex healthcare setting. HFMEA-CS is applied to analyse drug adherence performance in the surgical admission to discharge process of pheochromocytoma patients. The multidisciplinary team identified and scored the failure modes, and the simulation model supported in prioritisation of failure modes, uncovered dependencies between failure modes, and predicted the impact of measures on system behaviour. The results show that drug adherence, defined as the percentage of required drugs received at the right time, can be significantly improved with 12%, to reach a drug adherence of 99%. We conclude that HFMEA-CS is both a viable and effective risk analysis approach, combining strengths of expert opinion and quantitative analysis, for analysing human-system interactions in socio-technical systems. Practitioner summary: We propose combining Healthcare Failure Mode and Effects Analysis with Computer Simulation (HFMEA-CS) for prospective risk analysis of complex and potentially harmful processes, to prevent critical incidents from occurring. HFMEA-CS combines expert opinions with quantitative analyses, such that the results are more reliable, reproducible, and fitting for complex healthcare settings.

Environment, Business, and Health Care Prevail: A Comprehensive, Systematic Review of System Dynamics Application Domains

System dynamics, as a methodology for analyzing and understanding various types of systems, has been applied in research for several decades. We undertook a review to identify the latest application domains and map the realm of system dynamics. The systematic review was conducted according to the PRISMA methodology. We analyzed and categorized 212 articles and found that the vast majority of studies belong to the fields of business administration, health, and environmental research. Altogether, 20 groups of modeling and simulation topics can be recognized. System dynamics is occasionally supported by other modeling methodologies such as the agent-based modeling approach. There are issues related to published studies mostly associated with testing of validity and reasonability of models, leading to the development of predictions that are not grounded in verified models. This study contributes to the development of system dynamics as a methodology that can offer new ideas, highlight limitations, or provide analogies for further research in various research disciplines.

Nursing work intention, stress, and professionalism in response to the COVID-19 outbreak in Iran: A cross-sectional study

BACKGROUND

Professionalism, stress and demographic factors are the three key influences in nurses' intention to provide care.

OBJECTIVES

This study examined the levels of work intention, stress and professionalism of nurses and determine the relationship between nursing work intention and factors in response to COVID-19.

METHODS

This cross-sectional study was conducted on 362 nurses from COVID-19-devoted hospitals in Iran. A self-administered electronic-based questionnaire was developed and used to determine levels of stress, professionalism, and nursing intention. Multiple regression analysis was carried out to analyze the correlation between nursing intention with respect to stress and professionalism.

RESULTS

The overall stress, professionalism, and nursing intention scores were 48.56, 21.46, and 17.83 respectively. There were significant differences in nursing intention scores between gender, marital status, and having training groups (p < 0.05). The regression analysis revealed that nursing intention had a significant relationship with older age (p < 0.001,S.E = 1.11,B = 17.02), higher income level (p < 0.001,S.E = 1.81,B = 6.98), having previous training (p = 0.008,S.E = 1.22,B = 3.27), higher stress level (p < 0.001,S.E = 2.37,B = -21.39), and high professionalism level (p < 0.001,S.E = 1.16,B = 11.99).

CONCLUSION

Having an adequate staff requirement plan, planning appropriate training for nurses, and proactive psychological support are crucial to prevent burnout and continue to provide nursing services.

The effects of ergonomic intervention on the musculoskeletal complaints and fatigue experienced by workers in the traditional metal casting industry

This research aimed to evaluate the effects of ergonomic intervention on the musculoskeletal complaints and fatigue experienced by workers of the traditional metal casting industry that manually pour molten metal into molds. The workers' physical complaints are typically in the form of musculoskeletal complaints, which include (1) an activity aspect, (2) a physical aspect, and (3) a motivational aspect. The method used in this research was stratified random sampling. The subjects (n = 127) were divided into three groups, namely, the process cement department (PCD) group, the loam department (LD) group, and the black sand department (BSD) group. The evaluation was carried out using questionnaires based on musculoskeletal complaints and fatigue. Meanwhile, an assessment of musculoskeletal complaints and fatigue was conducted one month before the ergonomic intervention, and then during follow-ups at one and eight months after the ergonomic intervention. The results showed that the average reduction in musculoskeletal complaints and fatigue experienced by the workers in the LD group was lower than that of the workers in the PCD and BSD groups at one and eight months after the ergonomic intervention. The positive effects of the ergonomic intervention on musculoskeletal complaints were evident in terms of the back, waist, left and right thighs, right knee, right ankle, and left foot (p < 0.05). The positive effects of the ergonomic intervention on the level of activity-based fatigue were felt in the body and legs, and the feeling of wanting to lie down decreased. The motivational fatigue experienced by the workers manifested as difficulty in thinking, concentrating, and controlling behavior, while the physical fatigue experienced by the workers was in the form of headaches, back pain, excessive thirst, and feeling unwell (p < 0.05). It can be concluded that ergonomic intervention can reduce both musculoskeletal complaints and fatigue, especially by conducting a morning briefing, using ergonomic ladles when pouring molten metal into molds, and consuming nutritious food during break times.