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Showing 4 results for Bahreini

Qr Babaee , Ar Soltanian , Hr Khalkhaly , M Rabieian , F Bahreini , M Afkhami Ardekani ,
Volume 1, Issue 1 (9 2007)
Abstract

Backgound: Approximately half of the diabetics population type 2 are not aware of their disease .Lack of awareness can lead to development of diabetes and increase cost of treatment. The aim of this survey was to determine the level of population awareness in Bushehr port in south of Iran in Bushehr prov­ince.

Methods: In this cross-sectional study, 719 subjects (417 male and 302 female) aged over 18 years old, without diabetes and inhabitant in Bushehr port in 2005 were assessed. Multi-stage random simple sampling was used. A 39 question questionnaire was used with validity checked by researchers in Yazd Diabetes Research Center and reliability alpha-cronbach=75%.The data were analyzed with independ­ent t-test, pearson correlation coefficient , ANOVA and Multiple Logistic Regression models by SPSS package ver. 10.05.

Results: Mean and SD of scores of subjects knowledge levels were 16.96 and 6.29, respectively. The levels of males' awareness rate was more than females' (P=0.001). There was indirect relation between subjects awareness and their age (r=-0.203, P=0.001) and direct relation between awareness and the level of education (P=0.01, r=0.07).The mean of awareness scores was not similar between singles and married (P=0.042). Awareness regarding fundamental diabetes disease, primary symptoms, early com­pli­ca­tions, delay complications, diet awareness was low and concerning controlling methods of diabetes was high.

Conclusion: Awareness in relation to fundamental and complications of diabetes disease was low, so the people need more education about diabetes.


A Soltanian, S Faghihzadeh, E Hadjizadeh, H Choobineh, F Bahreini, M Mahmoudi Farahani, Hr Khalkhali,
Volume 1, Issue 2 (20 2008)
Abstract

 Background and Aim:To assess of human force and population's programming at high level, is very important that we know rates and characteristics of population. Growth of population has direct relationship with fertility rate of women in community. To control of population and arrive to index of N.R.R.(Net reproduction rate) equal to one ,each family must be has one or tow children .Thus ,in families that they have more over tow children, we must be search about factors affected and attempt to reduce of population's growth , until arrive to a stationary population.

Materials and Methods: The cross-sectional study upon 500 women that are married and have 45 years old and more in Bushehr. Tow-stage random sampling was used in this study. First, Bushehr divided into 23 hypothesis blocks of 1000 households and thus, 20 points from each of blocks were selected by chance. Also, from each of 20 pointes, 25 families were selected by chance. In this study, a questionnaire was used for collecting of data, that questioners were asked of chief of households. The data was analyzed with SPSS package version 13. To find relationship between variables together and with response variable , was used kendall's tau test and chi-square for trend test. The multiple-logistic regression was used to find factors affected on parity progression ratios.

Results: In this study 181 persons(36.2%) of women had illiterate, 229 persons(45.8%) had primary education and 90 persons(18%) of them had high and more education .The age of the first marriage of 456 persons(91.2 %)  of women were under 25 years old and the age of the first pregnancy of 196(39.2 %) of them were under 20 years old. Probability of arrive to the first child in Bushehr was equal 0.98,and probability of arrive to second, thirst and fourth children was equal 0.92,0.81 and 0.72 respectively. This study shows that the factor like the age of the first marriage of women has a negative effect on PPR (parity progression ratio) from zero to one child, and the factors like the women's education and having a dead child have a positive effect on it. The results indicate that the factor like having a dead child has increasing effect on PPR from one to tow children, and the factors like the women's education, the age of the first pregnancy and marriage have a decreasing effect on it. In this research it is observed that having a dead child has a positive effect on PPR from tow to three children, and the factors like the age of the first pregnancy and marriage, education of women and their husbands have a negative effect on PPR from tow to three children. Also it is observed that sexually and having a dead child has increasing effect on PPR from three to four children, and the factors like, the women's education, job and education of husband , and the age of the first pregnancy of  women have decreasing effect on PPR from three to four children.

Conclusion: The results indicate that probability of arrive to third and fourth children are high. Thus it is show the controlling of family planning in Bushehr dose not good carry out within families belong lately decades.

 


Maryam Katebi, Masoud Bahreini, Razieh Bagherzadeh, Shahnaz Pouladi,
Volume 18, Issue 6 (2-2025)
Abstract

Background and Aim: Nurse managers leverage managerial intelligence to mitigate decision-making challenges and systemic issues. Emotional intelligence, a crucial aspect of managerial intelligence, is vital for job performance and leadership. This skill enables managers to comprehend their emotions and those of others and establish more effective communication. Also, managers in complex environments, such as hospitals, need systemic thinking. Systemic thinking enables managers to solve problems comprehensively, enhancing decision-making accuracy and efficiency. This study was conducted to determine the relationship between emotional intelligence and systemic thinking in nurse managers of affiliated hospitals of Bushehr University of Medical Sciences.
Materials and Methods: The present study is a descriptive-analytical correlational study. One hundred and forty-five nurse managers working in Bushehr University of Medical Sciences-affiliated hospitals were included in the study based on the inclusion criteria. The sampling was done as a full census. Data were collected using the demographic information form, Bradbury and Graves’ emotional intelligence questionnaire, and Amini et al.’s systemic thinking questionnaire. Data were analyzed using SPSS software, descriptive statistics (frequency, mean, and standard deviation), and analytical statistics (Pearson correlation coefficient). A significance level of less than 0.05 was considered in all cases.
Results: This study involved 145 nurse managers, 88.3% female, 84.8% married, and 87.6% holding a Bachelor of Science in Nursing (BSN). The mean age and average tenure in managerial positions were 41.93±6.37 and 8.68±6.52 years, respectively. The mean score for emotional intelligence (EI) among nurse managers was 130.81±11.84 (range: 28-168), while the mean score for systems thinking (ST) was 43.30±5.90 (range: 8-56). A positive correlation was found between emotional intelligence and systems thinking (r=0.365, P<0.001); however, EI was not a significant predictor of ST (β=0.131, P=0.146).
Conclusion: Considering the positive correlation between emotional intelligence and systemic thinking as essential management competencies, it is suggested that training these skills should be considered in continuing education programs for nurses and nurse managers. This will help managers strengthen their emotional intelligence and apply systemic strategies in nursing management.

Hamidreza Khakrah, Mohammadreza Yazdankhahfard, Masoud Bahreini, Niloofar Motamed,
Volume 19, Issue 3 (9-2025)
Abstract

Background and Aim: With the advancement of information and communication technology, telehealth has rapidly emerged as a new approach to delivering health-related care. Telenursing, a subset of telehealth, allows nurses to coordinate and manage care using communication technologies. Despite its significant potential, the adoption of telenursing in Iran has been limited, necessitating an examination of the factors that influence its implementation. The aim of this study is to examine the relationship between demographic characteristics, including age, gender, marital status, education level, employment history, position, hospital of service, experience with telephone interviews, experience in responding to telephone consultation requests, and knowledge and experience in using telenursing systems, with nurses’ behavioral intention to accept and use this technology.
Materials and Methods: This descriptive-analytical study was conducted in 2023 with 281 nurses from two educational hospitals affiliated with Bushehr University of Medical Sciences, utilizing a complete enumeration method. Data collection tools included a demographic information questionnaire and the Chang et al. questionnaire focusing on the behavioral intention domain. The reliability of the behavioral intention domain of the questionnaire was assessed using Cronbach’s alpha coefficient, which was found to be 0.73. Data analysis was conducted using descriptive statistics, such as the mean and standard deviation, as well as inferential tests, including the Mann-Whitney U test, the Kruskal-Wallis test, and the Spearman correlation coefficient. This analysis was performed with SPSS software. A significance level of less than 0.05 was used for all tests.
Results: The mean age of the participants was 33.30±7.46 years, and most of them were female and married. A significant relationship was observed between several demographic characteristics of the nurses and their behavioral intention to adopt telenursing. marital status (r=0.13, P=0.036), experience of conducting phone interviews with patients (r=0.20, P=0.001), experience of responding to phone consultation requests from patients or families (r=0.13, P=0.028), possession of knowledge and information about telenursing (r=0.26, P<0.001), and experience using the telenursing system (r=0.3, P<0.001), were all significantly associated with behavioral intention.
Conclusion: Telenursing, as one of the modern technologies of the present century, can be an effective solution to address the challenges of the healthcare system. The results of the study showed that some individual characteristics are related to the nurses’ behavioral intention to use this technology. To promote this technology, targeted training programs and supportive policies that address these factors are necessary.
 

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