Abstract:Aim
This study measures the levels of QNWL and determines the relationship between QNWL and nurses' personal, family and work shift factors.
Background
The nursing profession in Saudi Arabia (SA) is diverse, with many challenges during nursing practice. Therefore, examining QNWL is important for managers because it has become an essential subject in current nursing practice.
Methods
A quantitative approach utilizing a cross‐sectional design with 400 nurses recruited randomly through a multistage cluster sampli… Show more
“…Respondents in the age group (45-59) had higher levels of WRQoL in the HWI dimension. This is similar to ndings of previous studies; that older age had a positive effect on QNWL, work context and the work environment 17,28 . This may be due to the ability of older and more senior staff with years of work experience to adapt their home and work lives and create a balance and feel satis ed with their roles, their ability to overcome hardships, achieve job promotions and ask for better pay.…”
Section: Discussionsupporting
confidence: 91%
“…The current study differed slightly from a previous study on nursing staff in Al-Madinah region hospitals in KSA 28 . This could be because the study on Al-Madinah region hospitals focused on a single region, whereas the current study was conducted across KSA.…”
Section: Discussionmentioning
confidence: 58%
“…(5,6,14,25) to HWI, items no. (4,9,10,15,17,21,27,28) to GWB, items no. (7,19,24,29) to SAW and items (13,16,22,26,31) to WCS.…”
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.
“…Respondents in the age group (45-59) had higher levels of WRQoL in the HWI dimension. This is similar to ndings of previous studies; that older age had a positive effect on QNWL, work context and the work environment 17,28 . This may be due to the ability of older and more senior staff with years of work experience to adapt their home and work lives and create a balance and feel satis ed with their roles, their ability to overcome hardships, achieve job promotions and ask for better pay.…”
Section: Discussionsupporting
confidence: 91%
“…The current study differed slightly from a previous study on nursing staff in Al-Madinah region hospitals in KSA 28 . This could be because the study on Al-Madinah region hospitals focused on a single region, whereas the current study was conducted across KSA.…”
Section: Discussionmentioning
confidence: 58%
“…(5,6,14,25) to HWI, items no. (4,9,10,15,17,21,27,28) to GWB, items no. (7,19,24,29) to SAW and items (13,16,22,26,31) to WCS.…”
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.
“…The results of this study are encouraging, as they indicate that overall, job satisfaction in a sample of nurses working during Hajj 2018 was high. Moreover, the overall level of satisfaction found (82.6%) was consistently higher than has previously been reported in nurses working in hospitals in Saudi Arabia (Al-Dossary et al 2012;Alharbi et al 2019;Almalki et al 2012;Bahnassy et al 2014). Of note is the study by Rayan et al (2019), which showed how the challenging healthcare environment of the Hajj 2016 was associated with stress, burnout and violence at work, factors known to contribute to work dissatisfaction (Laschinger & Grau 2012).…”
Aim
To explore job satisfaction of nurses during the Hajj season 2018 in Saudi Arabia, determine predictors of nurses’ job satisfaction and inform future healthcare provision and policy.
Background
Mass gatherings of large numbers of people inevitably pose unique public health concerns and challenges for organizers. A mass gathering happens annually in Saudi Arabia during the Hajj pilgrimage. There was a paucity of evidence regarding nurses’ experiences during Hajj. This gap in knowledge needed to be addressed.
Methods
A cross‐sectional survey was conducted in 198 nurses across 12 healthcare settings along the Hajj pilgrimage route. A 24‐item Nurses’ Job Satisfaction Questionnaire was developed exploring six domains: supervision, nature of work, retention, communication, workload and co‐workers.
Results
Nurses reported a high level of job satisfaction. All six domains were strong predictors of job satisfaction. Nurses reported the lowest level of job satisfaction when assessed against the items ‘multiple policies and procedures that were perceived as complicating nursing work’, ‘incompetence of other people they work with’ and ‘too much burden at work’.
Conclusion
Job satisfaction levels for nurses during Hajj 2018 appeared higher than during previous Hajj pilgrimages, probably influenced by the additional healthcare measures put in place during Hajj 2018, such as improved technology.
Implications for nursing policy and practice
Hajj‐specific skills training must be designed to enhance the knowledge, competencies and capabilities of nurses. Policies and procedures must prevent heavy workloads and avoid complicating nurses’ work during Hajj. Improvements to the nurse work environment should focus on evidence‐based interventions promoting effective resource planning, interprofessional relationships and communication, for instance via innovative, technological approaches. These findings can be shared with organizers of other mass gatherings worldwide.
“…The current study differed slightly from a previous study on nursing staff in Al-Madinah region hospitals in KSA 28 . This could be because the study on Al-Madinah region hospitals focused on a single region,…”
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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