الملخص
Background: Health care-Associated Infections (HCAIs) are among the most common adverse events (AEs) that can negatively affect both patients and health systems. The elderly is among patients at high risk for infections. Some controllable risk factors have received less attention in research. Therefore, this study aims to investigate the relationship between prevalence of HCAIs among elderly inpatients, job satisfaction of nurses, and working condition. Materials and Methods: This cross-sectional study was conducted on 211 nurses working in hospitals affiliated with Iran University of Medical Sciences, Tehran, in 2021. The data were collected from HCAIs reports by the Nosocomial Infection Control Committee, a demographic questionnaire, the Practice Environment Scale of the Nursing Work Index (PES-NWI), and the Minnesota Satisfaction Questionnaire (MSQ). The data were statistically analyzed using Pearson correlation coefficient, ANOVA, t -test, and multiple linear regression (MLR) in SPSS 26. Results: The results showed that there was a significant relationship between the PES-NWI and MSQ (r = 0.68, p < 0.00). The MLR results indicated that staffing and resource adequacy, nurse participation in hospital affairs, job satisfaction, nursing manager's leadership, and nursing foundations for quality of care are predictive factors that these could explain 78% of the changes in the prevalence of HCAIs and the goodness of fit of the regression model was acceptable [F 6.210 = 129.47, p < 0.001]. Conclusions: Since job satisfaction and the work condition could predict HCAIs among the elderly patients, healthcare administers are recommended to consider these two variables in the development of HCAIs prevention and control programs.
الكلمات المفتاحية
الموضوع
بيانات النشر
- المعرّف الرقمي
- 10.4103/ijnmr.ijnmr_87_22
- المجلة
- Iranian Journal of Nursing and Midwifery Research, 28(6), 684-689
- الناشر
- Wolters Kluwer Medknow Publications
- وصول مفتوح
- وصول مفتوح ذهبي
- الترخيص
- CC BY-NC-SA 4.0
اقتبس هذه المقالة
APA 7
Rezaie, F., Shahboulaghi, F. M., Fadayevatan, R., Shati, M., & Harouni, G. G. (2023). Working Condition and Job Satisfaction of Nurses as Predicting Factors of the Prevalence of Health care-associated Infections among Elderly Inpatients. Iranian Journal of Nursing and Midwifery Research, 28(6), 684-689. https://doi.org/10.4103/ijnmr.ijnmr_87_22
MLA 9
Rezaie, Fereshteh, et al. "Working Condition and Job Satisfaction of Nurses as Predicting Factors of the Prevalence of Health care-associated Infections among Elderly Inpatients." Iranian Journal of Nursing and Midwifery Research, vol. 28, no. 6, 2023, pp. 684-689. https://doi.org/10.4103/ijnmr.ijnmr_87_22.
شيكاغو (المؤلف–التاريخ)
Rezaie, Fereshteh, Farahnaz Mohammadi Shahboulaghi, Reza Fadayevatan, Mohsen Shati, and Gholamreza Ghaedamini Harouni. 2023. "Working Condition and Job Satisfaction of Nurses as Predicting Factors of the Prevalence of Health care-associated Infections among Elderly Inpatients." Iranian Journal of Nursing and Midwifery Research 28 (6): 684-689. https://doi.org/10.4103/ijnmr.ijnmr_87_22.
هارفارد
Rezaie, F., Shahboulaghi, F. M., Fadayevatan, R., Shati, M. and Harouni, G. G. (2023) 'Working Condition and Job Satisfaction of Nurses as Predicting Factors of the Prevalence of Health care-associated Infections among Elderly Inpatients', Iranian Journal of Nursing and Midwifery Research, 28(6), pp. 684-689. doi:10.4103/ijnmr.ijnmr_87_22.
فانكوفر
Rezaie F, Shahboulaghi FM, Fadayevatan R, Shati M, Harouni GG. Working Condition and Job Satisfaction of Nurses as Predicting Factors of the Prevalence of Health care-associated Infections among Elderly Inpatients. Iranian Journal of Nursing and Midwifery Research. 2023;28(6):684-689. doi:10.4103/ijnmr.ijnmr_87_22
IEEE
F. Rezaie, F. M. Shahboulaghi, R. Fadayevatan, M. Shati, and G. G. Harouni, "Working Condition and Job Satisfaction of Nurses as Predicting Factors of the Prevalence of Health care-associated Infections among Elderly Inpatients," Iranian Journal of Nursing and Midwifery Research, vol. 28, no. 6, pp. 684-689, 2023, doi: 10.4103/ijnmr.ijnmr_87_22.