Background: Extensive application of radioactive materials to medical and military purposes justifies the necessity of training military nurse students regarding the management of radiation injury. The current study aimed at comparing the effect of two methods (lecture and webbased) of training on the management of radiation-injured patients among military nurse students from 2013 to 2014. Materials and Methods: The current semi-experimental study was conducted on 60 military nursing students in two military nursing schools in Tehran, Iran selected purposively. Subjects of the study were divided into two groups of 30 as lecture and web-based teaching. The effect of education was measured on three levels of knowledge, comprehension, and application; before, immediately after, and four weeks after completion of teaching. The data were analyzed with SPSS software version 21, using Repeated Measures (RM)-ANOVA and t-test. Results: Mean and standard deviation of scores in all learning levels (knowledge, comprehension, and application) in both groups had a significant difference between before and after the intervention (P<0.001). No significant difference was observed in the total mean scores of the two groups before intervention. In the post-test, immediately after training, mean scores of the web-based group had a greater increase, but no significant difference was observed (P=0.12). In the retention stage (four weeks after training), it was observed that the lecture-based method was more effective (P=0.01). Conclusion: According to the obtained results, learning increased in both methods. Therefore, it is recommended to use the combined teaching method to educate nursing students.
How to manage patients, transmission times, and therapeutic measurement executed during air transmission can improve training, protocols, and management decisions. The current study aimed at investigating the dispatch criteria and the way of handling patients during transport by air emergency medical services of Kurdistan Province, Iran, in 2017. Materials and Methods: In the current study, information of patients transported by air emergency ambulance of Kurdistan Province in 2017 was collected from the recorded mission forms. To analyze the information, version 12 of STATA software was employed. Descriptive statistics was used to analyze the qualitative variables and draw frequency distribution table and mean and standard deviation to utilize quantitative variables. Results: Out of 50 transported patients, trauma caused by traffic accidents was the most important cause of patient transport (38%). In terms of clinical symptoms, weakness and lethargy and decreased consciousness were the most common symptoms. The most important therapeutic measures executed during transport were oxygen therapy, various body fixations, and serum therapy, respectively. The average time spent at scene was 10.7 minutes and the mean total mission time was 93.72 minutes with a standard deviation of 45.53. Conclusion: The results of the study indicated that the air emergency performance of Kurdistan Province was desirable in terms of dispatch criteria, time of transport and treatment during transportation, but there were weaknesses in the administration of medications during transportation and recording missions and measures in the specific sheets (forms).
Background and Aim: job involvement and intention to leave job are important feedbacks of work. The purpose of this study was to investigate the relationship between job involvement and intention to leave job among anesthetist employed in Sanandaj hospitals in 2017. Material and Methods:In this descriptive-analytical study, 90 anesthetist working in Sanandaj hospitals were enrolled in the study. Data were collected from the Kanongo Job Anxiety Questionnaire, Attwod and Hinshaw Vacancy Forecasting Questionnaire and demographic and occupational information questionnaire. Version 23 of SPSS software was used for data analysis. Data were analyzed using descriptive statistics, independent t-test and chi-square test. Results:The mean and standard deviation of job involvement and intention to leave job were 2±0.056 and 2±0.063, respectively. Also, the results showed that there is a significant relationship between job involvement and intention to leave job with all demographic and occupational variables (p <0.05). Conclusion:Considering the low level of job involvement and the high intention to leave job in anesthetist, rooting and planning is recommended by the authorities.
Background and Objectives: In every disease there are always opportunities for improvement of the individual status, part of which is affected by person's psychological status. Therefore, this study aimed to predict benefit finding in cancer based on demographic and clinical characteristics, illness cognition, and emotional processing in cancer patients. Materials and Methods:This descriptive study was performed on patients aged 23 to 82 years with cancer in 2020 in Semnan city. The statistical sample consisted of 311 people who were selected by convenience sampling method. They responded to Benefit Finding Scale (BFS), Illness Cognition Questionnaire (ICQ), Emotional Processing Scale (EPS), and demographic and clinical characteristics questionnaire. Data were analyzed by multiple linear regression analysis using the simultaneous entry method. Results:The results of correlation test showed that illness cognition, emotional processing, and demographic and clinical characteristics (education, duration of diagnosis, age) had a significant relationship with benefit finding (p<0.05). The results of multiple regression showed that a total of 32% of benefit finding changes were explained by predictor variables; out of which variables of illness cognition (β= 0.377, p<0.001), demographic and clinical characteristics (β= -0.241, p<0.001), and emotional processing (β= 0.221, p<0.001) had the largest share in explaining the benefit finding in cancer patients, respectively. Conclusion:Due to the existence of benefit finding in cancer patients and its relationship with psychological, demographic and clinical factors, the care givers and treatment team should consider the benefit finding in cancer and the factors affecting it, and in holistic measures, provide effective actions.
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