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Factors associated quality of work life among nurses of selected Teaching Hospital, Karnali Province

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Background: Quality of work life (QWL) is a crucial issue for health care facilities to have qualified, dedicated and inspired employees. Quality of work life is important for nurses as it affects the safety and quality of care provided for patients as well as organizational factors. So, they should experience a better QWL to deliver high quality holistic care to those who need help. So, the main objective of this study was to identify factors associated quality of work life among nurses of selected Teaching Hospital, Karnali Province. Methods: A descriptive cross-sectional study was carried out at Karnali Academy of Health Sciences among 76 nurses. Data was collected by using non-probability enumerative sampling technique. Data were collected through self-administered questionnaires developed based on the Quality of Nursing Work Life Survey (QNWL). Data was entered and analyzed by SPSS 16 version. Frequencies and percentages were also evaluated for study variables. Chi-square test was applied to assess the association between level of quality and socio-demographic variables. Results: The study showed that nearly two third (64.5%) of nurses had experienced a high level of QWL where as nearly one third (31.6%) of nurses had experienced a moderate level of QWL, followed by low (3.9%) among 76 nurses working at Karnali Academy of Health Sciences. There is no association between socio-demographic variables and level of quality of life among nurses. Only currently working area is associated with level of QWL having p-value: 0.006. Conclusion: The majority of nurse had high level quality of work life. The quality of patient care and related health outcomes are indirectly impacted by nurses' QWL. Therefore, determining the areas in which nurses have low quality of life (QWL) can aid in the creation of programs aimed at raising their level of professional satisfaction, which will in turn enhance work output and staff retention.
Title: Factors associated quality of work life among nurses of selected Teaching Hospital, Karnali Province
Description:
Background: Quality of work life (QWL) is a crucial issue for health care facilities to have qualified, dedicated and inspired employees.
Quality of work life is important for nurses as it affects the safety and quality of care provided for patients as well as organizational factors.
So, they should experience a better QWL to deliver high quality holistic care to those who need help.
So, the main objective of this study was to identify factors associated quality of work life among nurses of selected Teaching Hospital, Karnali Province.
Methods: A descriptive cross-sectional study was carried out at Karnali Academy of Health Sciences among 76 nurses.
Data was collected by using non-probability enumerative sampling technique.
Data were collected through self-administered questionnaires developed based on the Quality of Nursing Work Life Survey (QNWL).
Data was entered and analyzed by SPSS 16 version.
Frequencies and percentages were also evaluated for study variables.
Chi-square test was applied to assess the association between level of quality and socio-demographic variables.
Results: The study showed that nearly two third (64.
5%) of nurses had experienced a high level of QWL where as nearly one third (31.
6%) of nurses had experienced a moderate level of QWL, followed by low (3.
9%) among 76 nurses working at Karnali Academy of Health Sciences.
There is no association between socio-demographic variables and level of quality of life among nurses.
Only currently working area is associated with level of QWL having p-value: 0.
006.
Conclusion: The majority of nurse had high level quality of work life.
The quality of patient care and related health outcomes are indirectly impacted by nurses' QWL.
Therefore, determining the areas in which nurses have low quality of life (QWL) can aid in the creation of programs aimed at raising their level of professional satisfaction, which will in turn enhance work output and staff retention.

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