Quality of Life of Nurses and Related Factors

Omrani, Zahra; Talebi, Elnaz

doi:10.15171/ijer.2018.13

Cited by 4 publications

(4 citation statements)

References 11 publications

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“…Overall, LPNs in this study (mean age: 40) rated their health as being lower than Canadian norms for people 35–44 [ 23 ] across every SF-36 subscale. However, this sample reported higher mean scores than some published examples of nurses’ SF-36 scores [ 6 , 11 , 42 ], and similar scores to those of Omrani and Talebi [ 36 ]. These results indicate that LPNs report their health as lower than the general population, but higher than other groups of nurses.…”

Section: Discussionsupporting

confidence: 52%

The impact of the work environment on the health-related quality of life of Licensed Practical Nurses: a cross-sectional survey in four work environments

Phillips

Santos

Ntanda

et al. 2022

Health Qual Life Outcomes

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Background Nurses are known to have negative health outcomes related to their work. While it is acknowledged that nursing work is associated with things like back injuries and burnout, there is limited evidence as to what factors in the work environment contribute to these issues. Purpose The aims of this study were to assess how Licensed Practical Nurses (LPNs) report their Health-related quality of life (HRQoL), and how nurses’ health is impacted by their work environment. Methods These data used for analysis comes from a cross-sectional survey administered online to all LPNs in Alberta (2018). The survey collected data on the following variables: participant’s demographics, the SF-36 HRQoL, Practice Environment Scale of the Nursing Work Index (PES-NW) and the CD-RISC measure of resilience. The beta distribution was used to model HRQoL outcomes. In instances where optimal health (score of ‘1’) was observed then an extended version of beta distribution (called one—inflated beta) was applied. Results 4,425 LPNs responded to the survey. LPNs (mean age: 40) report lower scores on each SF-36 subscale than the general Canadian population aged 35–44. LPNs who work ‘causal’ had better physical health, (OR 1.21, CI 1.11–1.32, p = 0.000), and mental health (OR 1.22, CI 1.12–1.30, p = 0.000) than LPNs who work full time, even after controlling for resilience. LPNs’ views on the adequacy of staffing and resources in their workplaces have an influence across all dimensions of health. Conclusion This study suggests that improvements in the work environment could positively impact health outcomes and that adequate resourcing could support the nursing workforce.

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Section: Discussionsupporting

confidence: 52%

The impact of the work environment on the health-related quality of life of Licensed Practical Nurses: a cross-sectional survey in four work environments

Phillips

Santos

Ntanda

et al. 2022

Health Qual Life Outcomes

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“…Moradi et al 18 reported a similar finding in the study completed in Iran. However, there are research studies 16,19,21,22 in the literature that showed a significant association between abovementioned demographic variables with physical health.…”

Section: Discussionmentioning

confidence: 96%

“…These findings were in contrast with the study completed in Brazil 2010 24 and the study conducted in Iran 2018. 25…”

Section: Discussionmentioning

confidence: 99%

Health-related Quality of Life of Nurses Working in Tertiary Care Hospital of Karachi

2020

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Objective: The aim of this study was to assess nurses’ health-related quality of life. Methods: This cross-sectional analytical study was accomplished among 154 nurses. Data were collected from two tertiary care hospitals of Karachi. Consent was taken prior to data collection from every participant. Questionnaire Short Form Health Survey-26 (SF-26) and Patients Health Questionnaire-9(PHQ-9) were used as a study tool. Data were analyzed through SPSS version 21. Results: ANOVA and T-test confirmed that energy/fatigue domain differed significantly with level of education, duty shift and monthly income with p-values 0.025, 0.001 and 0.006 respectively. It was observed that mean scores of physical functioning, role limitation due to physical health and pain domains differ significantly between depressive and non-depressive participants, with p-values 0.045, 0.01 and 0.005 respectively. Conclusions: Health related quality of life differs in comparison of physical health domain with depressive and non-depressive nurses. Only energy/fatigue domain was significantly associated with level of education, duty shift and monthly income of nurses. doi: https://doi.org/10.12669/pjms.36.3.1267 How to cite this:Ali A, Rasheed A, Naz S. Health-related Quality of Life of Nurses Working in Tertiary Care Hospital of Karachi. Pak J Med Sci. 2020;36(3):---------. doi: https://doi.org/10.12669/pjms.36.3.1267 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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“…Previous research also showed that social functioning had the highest value and that nurses' gender significantly influenced their quality of life (p<0.05). 18 Nurses who work in hospitals confront various Acknowledging the significant harm that workrelated stress can have on physical and mental well-being and its potential to reduce productivity and cause economic instability is essential.…”

Section: Discussionmentioning

confidence: 99%

Nurses’ Workload and Quality of Life in General Hospitals: The Mediating Role of Resilience

Priyanggono,

Putra,

Hariyanti

2023

Int J Occup Saf Health

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Introduction: An increased nurse's workload might break the balance between work and life, reducing nurses' quality of life. This condition can lead to physical, mental, and emotional exhaustion. Nurses with low resilience may develop psychological issues or mental illness. This study aims to determine the relationship between workload, resilience, and quality of life of nurses. Methods: A cross-sectional study with proportionate stratified random sampling was implemented in nurses working at type B hospitals in West Nusa Tenggara, Indonesia. A total of 265 nurses were enrolled in this study during September-October 2022. The National Aeronautics and Space Administration Task Load Index (NASA-TLX), The Russel & Russel questionnaire, and the WHOQOL-Brief quality of life were used on this research instrument. The Partial Least Square-Structural Equation Model (PLS-SEM) was used to investigate the effect of mediating resilience on the link between workload and quality of life in nurses. Results: The study's findings indicate that workload (X) and resilience (M) affect quality of life (Y) (53.1%). Nurses’ workload affects the quality of life via resilience (Path coefficient = -0.049, p = 0.041). It can be interpreted that nurses’ workload has a negative and substantial link with the quality of life due to resilience. Conclusion: This study concludes that resilience mediates the relationship between nurses’ workload and quality of life.

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Quality of Life of Nurses and Related Factors

Cited by 4 publications

References 11 publications

The impact of the work environment on the health-related quality of life of Licensed Practical Nurses: a cross-sectional survey in four work environments

The impact of the work environment on the health-related quality of life of Licensed Practical Nurses: a cross-sectional survey in four work environments

Health-related Quality of Life of Nurses Working in Tertiary Care Hospital of Karachi

Nurses’ Workload and Quality of Life in General Hospitals: The Mediating Role of Resilience

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