The health‐related quality of life of nursing workers: A cross‐sectional study in medical institutions

Lu, Jingjing; Kong, Jingxia; Song, Jisu; Lu, Li; Wang, Hongmei

doi:10.1111/ijn.12754

Cited by 6 publications

(7 citation statements)

References 24 publications

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“…The life–work design deals with the composition of the work and identifies the actual work responsibilities. For instance, the availability of work tasks, security, education, staffing ratios, and individual success are part of the quality of the work–life equation [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

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Quality of Work Life of Magnetic Resonance Imaging Technologists: A Cross-Sectional Study

Almugren

Zedan

2022

Healthcare

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Quality of Work Life is a multi-dimensional discipline that is concerned with the quality of life in the workplace. This study aimed to assess quality of work–life level and identify the correlation between its dimensions and Job and Career Satisfaction. The study used the 32-item WRQoL-2 tool, a questionnaire consisting of 6 subscales: Job and Career Satisfaction, Control at Work, Home–Work Interface, General Wellbeing, Stress at Work, and Work Conditions, to assess for these correlations. 57 Magnetic Resonance Imaging Technologists (MRITs) (100%) responded to the questionnaire. The study found a high level of QWL among MRITs (66.2%, 3.31/5). The level of the JCS was high (71.6%, 3.59/5), with significant correlations between JCS and WCS, CAW, HWI, and GWB. An inverse relationship was noted between SAW and JCS. Further research on QWL is advised to diagnose and provide recommendation to resolve issues that may adversely affect the quality of healthcare service provision.

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Section: Introductionmentioning

confidence: 99%

“…A growing body of research has evaluated the impact of QWL on healthcare professionals [ 2 , 4 , 7 , 11 , 12 , 14 , 15 , 16 ]. However, no studies have dealt with QWL levels for Magnetic Resonance Imaging Technologists (MRITs) in the Kingdom of Saudi Arabia (KSA).…”

Section: Introductionmentioning

confidence: 99%

Quality of Work Life of Magnetic Resonance Imaging Technologists: A Cross-Sectional Study

Almugren

Zedan

2022

Healthcare

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“…In the process of designing the questionnaire, we collected as much as possible the basic information of the subjects and the variables information that may affect mental status of medical workers during COVID-19. Studies have shown that the measurable factors affecting mental status mainly include the five respects of demography (33,34), family (35,36), employment (37,38), lifestyle (39,40), and work/living environment related to COVID-19 (41,42). Based on the results of the existing literature and the actual situation of medical workers during COVID-19, 32 factors were decided.…”

Section: Data Preparationmentioning

confidence: 99%

Prediction of Mental Health in Medical Workers During COVID-19 Based on Machine Learning

Sun

Zhang

et al. 2021

Front. Public Health

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Mental health prediction is one of the most essential parts of reducing the probability of serious mental illness. Meanwhile, mental health prediction can provide a theoretical basis for public health department to work out psychological intervention plans for medical workers. The purpose of this paper is to predict mental health of medical workers based on machine learning by 32 factors. We collected the 32 factors of 5,108 Chinese medical workers through questionnaire survey, and the results of Self-reporting Inventory was applied to characterize mental health. In this study, we propose a novel prediction model based on optimization algorithm and neural network, which can select and rank the most important factors that affect mental health of medical workers. Besides, we use stepwise logistic regression, binary bat algorithm, hybrid improved dragonfly algorithm and the proposed prediction model to predict mental health of medical workers. The results show that the prediction accuracy of the proposed model is 92.55%, which is better than the existing algorithms. This method can be used to predict mental health of global medical worker. In addition, the method proposed in this paper can also play a role in the appropriate work plan for medical worker.

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“…The life-work design deals with the composition of the work and identi es the actual work being done. For instance, the availability of supplies, work tasks, security, education, sta ng ratios, and individual success are parts of the quality of the work-life equation 11 .…”

Section: Control At Work and Home-work Interfacementioning

confidence: 99%

A Study of the Quality of Work Life Among Magnetic Resonance Imaging Technologists in National Guard Health Affairs Hospitals in KSA

Almugren

Zedan

2020

Preprint

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Quality of Work Life (QWL) is a multi-dimensional discipline concerned with the quality of life at the workplace. Objectives: This work aimed to assess the level of QWL of Magnetic Resonance Imaging Technologists (MRITs) at National Guard Health Affairs Hospitals (NGHA) in the Kingdom of Saudi Arabia and identify the correlation between QWL dimensions and Job and Career Satisfaction (JCS). Methodology: This study used the 32-item WRQoL-2 tool, a questionnaire consisting of 6 subscales; Job and Career Satisfaction (JCS), Control at Work (CAW), Home-Work Interface (HWI), General Well-Being (GWB), Stress at Work (SAW) and Work Conditions (WCS). Results: The study respondents were 57 MRITs working in NGHA hospitals across KSA with a 100% response rate. We found a high level of QWL among MRITs (66.2%, 3.31/5). The level of JCS was high (71.6%, 3.59/5) with a significant correlation between JCS and WCS, CAW, HWI, and GWB. There was an inverse relationship between SAW and JCS. Conclusion: Further research in the field of QWL is needed to diagnose shortcomings affecting the quality of healthcare services in KSA.

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The health‐related quality of life of nursing workers: A cross‐sectional study in medical institutions

Cited by 6 publications

References 24 publications

Quality of Work Life of Magnetic Resonance Imaging Technologists: A Cross-Sectional Study

Quality of Work Life of Magnetic Resonance Imaging Technologists: A Cross-Sectional Study

Prediction of Mental Health in Medical Workers During COVID-19 Based on Machine Learning

A Study of the Quality of Work Life Among Magnetic Resonance Imaging Technologists in National Guard Health Affairs Hospitals in KSA

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