Objectives: The prevalence of Coronavirus and its health-related psychosocial consequences is one of the most important human social events of the 21st century. Nurses, due to close contact with patients, are vulnerable to be infected with Covid-19. Therefore, they face severe psychological consequences. This study aimed to determine the relationship between Corona’s anxiety and nursing care behaviors in working in Corona referral hospitals in Kerman in 2020. Methods: The present study is cross-sectional descriptive-correlational research. Sampling was performed by the census method. A total of 166 nurses entered the study. In the present study, three demographic questionnaires, the Corona Disease Anxiety Scale (CDAS) and Caring Behaviors Inventory (CBI) were used. The analysis was done using Descriptive and Inferential statistics SPSS V. 18 software Results: The overall score of Corona anxiety among the nurses was 21.39±9.8, and the overall score of the nursing behavior of the studied nurses was 109.7±4.2 with a range of 94 to 118. Spearman’s correlation coefficient showed that there was no significant relationship between corona anxiety and caring behaviors. Conclusion: The present study showed that nurses working in corona wards suffer from moderate anxiety, and the level of caring behaviors provided by nurses was optimal. According to the current study findings, it is suggested that during the outbreak of emerging and epidemic diseases, to reduce nursing staff’s anxiety, coping strategies and resilience skills, and problem-solving, managers should pay more attention.
Introduction
Most ICU nurses feel overwhelmed by the variety of alarms at the same time. Therefore, nurses experience very stressful situations in relation to many responsibilities and care demands. This stressful condition has recently been exacerbated by COVID-19 and potentially endangers patient safety. The aim of this study was to investigate the alarm fatigue and moral distress of ICU nurses in COVID-19 crisis.
Method
This is a descriptive-analytical cross-sectional study (April-May 2021). Sampling was done by convenience among ICU nurses affiliated to Isfahan University of Medical Sciences, Iran. Data were collected using Nurses’ alarm fatigue and the moral distress scale (MDS). Data were analyzed using ANOVA, independent t-test and multivariate logistic regression.
Result
The results showed that the mean score of alarm fatigue was moderate)19.08 ± 6.26 (and moral distress was low (33.80 ± 11.60). The results showed that there was a significant relationship between alarm fatigue and related training courses)P = .012(.So that, alarm fatigue in nurses who were trained in working with ventilators and alarm settings was significantly less than other nurses. Also, a significant relationship was found between moral distress and marital status(P = .001) and Shift type(P = .01). On the other hand, the risk of alarm fatigue was higher in participants who have a PhD. The results showed that no significant correlation was found between alarm fatigue and moral distress (r = 0.111, P = 0.195).
Conclusion
It is suggested that practical training courses on alarm management be included in the curriculum and the ICU nurses should have practical training before starting work in the ICU and on an annual basis. In order to protect nurses and ensure quality care of patients, nurse managers should reduce the number of rotating shifts of ICU nurses.
Background and Objectives: Normal fertility follows a set of biological, social and cultural rules and regulations; controlled fertility, however, follows the rules and regulations of the family. The present study was therefore conducted to identify the factors influencing the first childbearing decision-making in women living in Shahroud, Iran, in 2014.
Materials and Methods:The present descriptive cross-sectional study was conducted on 300 randomly-selected pregnant women admitted to health centers in Shahroud. The utilized data collection tools included a demographic and obstetrics questionnaire, a quality of life questionnaire, the ENRICH Marital Satisfaction Scale, the Snyder Hope Scale and the Multidimensional Scale of Perceived Social Support. Data were analyzed in SPSS-17 and the direct or inverse effects of the factors influencing the first childbearing decision-making were examined in AMOS-20.
Results:The results obtained revealed marital age to have the highest degree of correlation with the first childbearing decision-making in women (r=0.90 and P<0.001).Once the statistically insignificant paths were eliminated, marital age was found to have the highest direct effect (β=0.63) on the first childbearing decision-making, followed by other factors including economic status (β=0.07), hopefulness (β=-0.07) and quality of life (β=-0.05). The inverse effects of marital age (β=0.01), social support (β= -0.01) and quality of life (β=-0.01) on the first childbearing decision-making were found to be significant in women (P<0.001).
Conclusion:Many factors are involved in the process of childbearing decision-making, including individual factors (marital age, hopefulness and quality of life), familial factors (marital satisfaction) and social factors (social support). Healthcare institutions and policymakers should adopt strategies that can help couples bear their desired number of children within an appropriate time frame through ameliorating their social, economic and familial conditions.
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