Factors predicting quality of work life among nurses in tertiary-level hospitals, Bangladesh

© 2017 International Council of Nurses. Aim: This study examined the level of quality of work life and predictability of years of education, monthly income, years of experience, job stress, organizational commitment and work environment on quality of work life among nurses in tertiary-level hospital...

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Main Authors: N. Akter, T. Akkadechanunt, R. Chontawan, A. Klunklin
Format: Journal
Published: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/43749
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spelling th-cmuir.6653943832-437492018-04-25T07:31:48Z Factors predicting quality of work life among nurses in tertiary-level hospitals, Bangladesh N. Akter T. Akkadechanunt R. Chontawan A. Klunklin Agricultural and Biological Sciences © 2017 International Council of Nurses. Aim: This study examined the level of quality of work life and predictability of years of education, monthly income, years of experience, job stress, organizational commitment and work environment on quality of work life among nurses in tertiary-level hospitals in the People's Republic of Bangladesh. Background: There is an acute shortage of nurses worldwide including Bangladesh. Quality of work life is important for quality of patient care and nurse retention. Nurses in Bangladesh are fighting to provide quality care for emerging health problems for the achievement of sustainable development goals. Methods: We collected data from 288 randomly selected registered nurses, from six tertiary-level hospitals. All nurses were requested to fill questionnaire consisted of Demographic Data Sheet, Quality of Nursing Work Life Survey, Expanded Nursing Stress Scale, Questionnaire of Organizational Commitment and Practice Environment Scale of the Nursing Work Index. Data were analysed by descriptive statistics and multiple regression. Results: The quality of work life as perceived by nurses in Bangladesh was at moderate level. Monthly income was found as the best predictor followed by work environment, organizational commitment and job stress. Discussion: A higher monthly income helps nurses to fulfil their personal needs; positive work environment helps to provide quality care to the patients. Limitation: Quality of work life and predictors measured by self-report only may not reflect the original picture of the quality of work life among nurses. Conclusion and policy implications: Findings provide information for nursing and health policymakers to develop policies to improve quality of work life among nurses that can contribute to quality of nursing care. This includes the working environment, commitment to the organization and measures to reduce job stress. 2018-01-24T03:57:32Z 2018-01-24T03:57:32Z 2017-01-01 Journal 14667657 00208132 2-s2.0-85032989084 10.1111/inr.12401 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85032989084&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/43749
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Agricultural and Biological Sciences
spellingShingle Agricultural and Biological Sciences
N. Akter
T. Akkadechanunt
R. Chontawan
A. Klunklin
Factors predicting quality of work life among nurses in tertiary-level hospitals, Bangladesh
description © 2017 International Council of Nurses. Aim: This study examined the level of quality of work life and predictability of years of education, monthly income, years of experience, job stress, organizational commitment and work environment on quality of work life among nurses in tertiary-level hospitals in the People's Republic of Bangladesh. Background: There is an acute shortage of nurses worldwide including Bangladesh. Quality of work life is important for quality of patient care and nurse retention. Nurses in Bangladesh are fighting to provide quality care for emerging health problems for the achievement of sustainable development goals. Methods: We collected data from 288 randomly selected registered nurses, from six tertiary-level hospitals. All nurses were requested to fill questionnaire consisted of Demographic Data Sheet, Quality of Nursing Work Life Survey, Expanded Nursing Stress Scale, Questionnaire of Organizational Commitment and Practice Environment Scale of the Nursing Work Index. Data were analysed by descriptive statistics and multiple regression. Results: The quality of work life as perceived by nurses in Bangladesh was at moderate level. Monthly income was found as the best predictor followed by work environment, organizational commitment and job stress. Discussion: A higher monthly income helps nurses to fulfil their personal needs; positive work environment helps to provide quality care to the patients. Limitation: Quality of work life and predictors measured by self-report only may not reflect the original picture of the quality of work life among nurses. Conclusion and policy implications: Findings provide information for nursing and health policymakers to develop policies to improve quality of work life among nurses that can contribute to quality of nursing care. This includes the working environment, commitment to the organization and measures to reduce job stress.
format Journal
author N. Akter
T. Akkadechanunt
R. Chontawan
A. Klunklin
author_facet N. Akter
T. Akkadechanunt
R. Chontawan
A. Klunklin
author_sort N. Akter
title Factors predicting quality of work life among nurses in tertiary-level hospitals, Bangladesh
title_short Factors predicting quality of work life among nurses in tertiary-level hospitals, Bangladesh
title_full Factors predicting quality of work life among nurses in tertiary-level hospitals, Bangladesh
title_fullStr Factors predicting quality of work life among nurses in tertiary-level hospitals, Bangladesh
title_full_unstemmed Factors predicting quality of work life among nurses in tertiary-level hospitals, Bangladesh
title_sort factors predicting quality of work life among nurses in tertiary-level hospitals, bangladesh
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85032989084&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/43749
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