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

Farid, Mashal; Purdy, Nancy; Neumann, Patrick

doi:10.1080/00140139.2019.1690674

Cited by 69 publications

(35 citation statements)

References 55 publications

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“…Nurses are the largest group of health team employees in the health care delivery system in Iran. The quality of health care is largely depend on the service provided by nurses [1]. The nursing profession endures a great deal of job stress due to the need for high skills, concentration on work, strong teamwork and 24-hour care [2].…”

Section: Introductionmentioning

confidence: 99%

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

Zandian

Sakha

Nasiri

et al. 2021

WOR

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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.

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Section: Introductionmentioning

confidence: 99%

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

Zandian

Sakha

Nasiri

et al. 2021

WOR

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“…One article used applied system dynamics modeling 14 and the other employed an open trial design. 15 Although only two studies were able to be included for this topic, the data sources were somewhat novel: one used synthetic data with an unreported sample size 14 and the other used mobile devices and sensors to collect primary data from 83 medical students. Medical students 14 and nurses 15 were the subjects of the burnout studies.…”

Section: Resultsmentioning

confidence: 99%

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

et al. 2022

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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.

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“…Lastly, the decrease in fatigue related to the physical aspect was experienced by workers in the form of less headaches, back pain, always feeling thirsty, and feeling unwell. The average age of the workers was 32.9 years; as this is not particularly young, age can affect the level of fatigue, which is marked by errors in work [48] and a continuous decrease in muscle activity [49], although there was a decrease in the fatigue in the average results of all workers. The cause of this fatigue was influenced by the oxygenation conditions of the muscles which, in turn, can affect the health and productivity of workers [50].…”

Section: Body Areamentioning

confidence: 98%

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

Susihono

Adiatmika

2021

Heliyon

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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 ¼ 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.

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

Cited by 69 publications

References 55 publications

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

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

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

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

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