PMID- 38205405
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20240112
IS  - 1735-9066 (Print)
IS  - 2228-5504 (Electronic)
IS  - 1735-9066 (Linking)
VI  - 28
IP  - 6
DP  - 2023 Nov-Dec
TI  - Working Condition and Job Satisfaction of Nurses as Predicting Factors of the 
      Prevalence of Health care-associated Infections among Elderly Inpatients.
PG  - 684-689
LID - 10.4103/ijnmr.ijnmr_87_22 [doi]
AB  - 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.
CI  - Copyright: (c) 2023 Iranian Journal of Nursing and Midwifery Research.
FAU - Rezaie, Fereshteh
AU  - Rezaie F
AD  - Gerontology Department, University of Social Welfare and Rehabilitation Sciences, 
      Tehran, Iran.
FAU - Mohammadi-Shahboulaghi, Farahnaz
AU  - Mohammadi-Shahboulaghi F
AD  - Iranian Research Center on Aging, Nursing Department, University of Social 
      Welfare and Rehabilitation Sciences, Tehran, Iran.
FAU - Fadayevatan, Reza
AU  - Fadayevatan R
AD  - Iranian Research Center on Aging, University of Social Welfare and Rehabilitation 
      Sciences, Tehran, Iran.
FAU - Shati, Mohsen
AU  - Shati M
AD  - Mental Health Research Center, Psychosocial Health Research Institute, Tehran, 
      Iran.
AD  - Department of Epidemiology, School of Public Health, Iran University of Medical 
      Sciences, Tehran, Iran.
FAU - Ghaedamini-Harouni, Gholamreza
AU  - Ghaedamini-Harouni G
AD  - Social Welfare Management Research Center, Social Health Research Institute, 
      University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
LA  - eng
PT  - Journal Article
DEP - 20231109
PL  - India
TA  - Iran J Nurs Midwifery Res
JT  - Iranian journal of nursing and midwifery research
JID - 101558775
PMC - PMC10775862
OTO - NOTNLM
OT  - Elderly
OT  - health care-associated infections
OT  - job satisfaction
OT  - nurses
OT  - working condition
COIS- Nothing to declare.
EDAT- 2024/01/11 07:42
MHDA- 2024/01/11 07:43
PMCR- 2023/11/09
CRDT- 2024/01/11 04:20
PHST- 2022/03/23 00:00 [received]
PHST- 2023/07/30 00:00 [revised]
PHST- 2023/07/31 00:00 [accepted]
PHST- 2024/01/11 07:43 [medline]
PHST- 2024/01/11 07:42 [pubmed]
PHST- 2024/01/11 04:20 [entrez]
PHST- 2023/11/09 00:00 [pmc-release]
AID - IJNMR-28-684 [pii]
AID - 10.4103/ijnmr.ijnmr_87_22 [doi]
PST - epublish
SO  - Iran J Nurs Midwifery Res. 2023 Nov 9;28(6):684-689. doi: 
      10.4103/ijnmr.ijnmr_87_22. eCollection 2023 Nov-Dec.