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Information Journal Paper

Title

Designing a Structural Model for Predicting Job Burnout Based on Organizational Commitment Mediated by Psychological Capital in Female Nurses of Military Hospitals in Tehran

Pages

  69-80

Abstract

 Background and Aim: The health sector is one of the most important areas of sustainable development in human societies due to its direct relationship with human health, which requires healthy, enthusiastic and highly motivated therapists. Nursing staff are among these therapists. The aim of this study was to design a structural model for predicting burnout based on Organizational Commitment mediated by Psychological Capital in Female Nurses of Military hospitals in Tehran. Methodology: This is a descriptive correlational study using structural equation modeling Was. The study population was all Female Nurses in Military hospitals in Tehran. Number of samples In this study, 330 people were estimated who were randomly selected. To do this The study used the Maslash Burnout Questionnaire, Allen & Meyer Organizational Commitment Questionnaire, and Lutans Psychological Capital. Statistical analysis was performed with SPSS and LISREL software. Results: The results of the study confirmed the effect of Organizational Commitment on burnout with the mediating role of Psychological Capital in the study population. Conclusion: The most important result of the present study was that by strengthening the commitment and Psychological Capital, nurses' burnout can be reduced. Extended Abstract Introduction The health care system has a special role in ensuring the health of the community. Nurses as one of the important and influential members of this system to play a very important role in this matter (1). Job performance and professional development of nurses are affected by several factors, one of which is Organizational Commitment (2). Methodology The research method used in this study was descriptive of the type of correlation, specifically modeling structural equations. The research community includes Female Nurses in hospitals. The Military of Tehran province was serving in 1398. Determining the sample size is very important for collecting data related to structural equation modeling. Although there is no general agreement about the sample size required for factor analysis and structural model, but according to many researchers such as Klein (2010) the minimum sample size is 200 (3). Accordingly, in this study, the sample size of 330 Female Nurses was selected by simple random sampling. Data were collected using three questionnaires: Maslash (1993), Allen and Meyer (1990), and Lutans. In this study, spss-v23 and-v8. 8 LISREL software were used to analyze the data. Structural equation modeling was also used to test the research hypothesis. Findings The present study was conducted to design a structural model for predicting burnout based on Organizational Commitment mediated by Psychological Capital in nurses. First, by examining statistical assumptions using mean tests, standard deviation, elongation and skewness of normal data, the data were confirmed and the measurement model of the three research variables was examined. the results in Table (1) Indicates that the data is normal. According to Table (2), the value of RMSEA is equal to 0. 079, so this value is less than 0. 1, which indicates that the mean squared error of the model is appropriate and the model is acceptable. . The CFI, GFI and AGF indices are almost equal to and greater than 0. 8, indicating that the model for measuring research variables is a suitable model. Table (4) shows that the effect of Organizational Commitment on burnout through Psychological Capital is-0. 72. Discussion The aim of this study was to design a structural model for predicting burnout based on Organizational Commitment mediated by Psychological Capital in Female Nurses of Military hospitals in Tehran. Organizational Commitment through Psychological Capital has an indirect effect on nurses' burnout. Organizational Commitment to burnout indirectly mediated by Psychological Capital is-0. 72. Therefore, it is inferred that the research hypothesis is confirmed. Psychological Capital showed a complete mediating role in the effect of Organizational Commitment on burnout. This finding shows that Psychological Capital absorbs the effects of Organizational Commitment and affects burnout. Conclusion Based on the available findings, Organizational Commitment through Psychological Capital has an indirect effect on nurses' burnout. . Explaining this finding, it should be stated that when employees are confident in their abilities and talents in performing their duties, a kind of motivation for job success is created in them, which results in an active and constructive presence in the organization. obligation. And employees' emotional dependence on the organization increases. Then show your emotional commitment to the employees' interest, attachment and belonging to the job and the desire to stay to continue that attachment and service to the organization. The less hope there is in employees, the less belonging, dependence and active presence in the organization. And the identity of employees will not determine the goals and values of the organization. Ethical Considerations Compliance with ethical guidelines In this study, ethical standards includingobtaining informed consent, guaranteeingprivacy and confidentiality were observed. Also, at the time of completing the questionnaires, while emphasizing thecompletion of all questions, the participantswere free to leave the research at any timeand provide personal information, and theywere assured that their information wouldremain confidential, and this was fullyobserved. Funding All costs of this research are provided by theauthors and there is no financial suppor Authors' Contributions Design and conceptualization: FaribaHassani and ZinabRasouli, Methodologyand data analysis: AliakbarKHosravi and Mahdi Zare, Supervision and final writing: ZinabRasouli Conflicts of interest This article is taken from the doctoral dissertation of the second author of the article and has no conflict of interest and its publication will not cause material and moral damage to a particular person or organization

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    APA: Copy

    Rasouli, Zinab, HASSANI, FARIBA, KHOSRAVI, ALIAKBAR, & ZARE, MEHDI. (2022). Designing a Structural Model for Predicting Job Burnout Based on Organizational Commitment Mediated by Psychological Capital in Female Nurses of Military Hospitals in Tehran. JOURNAL OF PSYCHOLOGICAL MODELS AND METHODS, 13(47 ), 69-80. SID. https://sid.ir/paper/999466/en

    Vancouver: Copy

    Rasouli Zinab, HASSANI FARIBA, KHOSRAVI ALIAKBAR, ZARE MEHDI. Designing a Structural Model for Predicting Job Burnout Based on Organizational Commitment Mediated by Psychological Capital in Female Nurses of Military Hospitals in Tehran. JOURNAL OF PSYCHOLOGICAL MODELS AND METHODS[Internet]. 2022;13(47 ):69-80. Available from: https://sid.ir/paper/999466/en

    IEEE: Copy

    Zinab Rasouli, FARIBA HASSANI, ALIAKBAR KHOSRAVI, and MEHDI ZARE, “Designing a Structural Model for Predicting Job Burnout Based on Organizational Commitment Mediated by Psychological Capital in Female Nurses of Military Hospitals in Tehran,” JOURNAL OF PSYCHOLOGICAL MODELS AND METHODS, vol. 13, no. 47 , pp. 69–80, 2022, [Online]. Available: https://sid.ir/paper/999466/en

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