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Maryam Katebi, Masoud Bahreini, Razieh Bagherzadeh, Shahnaz Pouladi,
Volume 18, Issue 6 (2-2025)
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.
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.
Mohammad Ghasembandi, Samaneh Dehghan Abnavi, Negin Larti, Foziye Hamoole Tahmasbi, Jaber Zabihirad,
Volume 19, Issue 1 (4-2025)
Volume 19, Issue 1 (4-2025)
Abstract
Background and Aim: Low back pain (LBP) is one of the most common musculoskeletal disorders among operating room nurses, and numerous studies have well explained its causes and factors. However, studies focusing on the characteristics and dimensions of low back pain and its relationship with influencing factors have not been conducted. Therefore, the aim of this study was to investigate the prevalence of the type of LBP, duration of back pain, and severity of back pain, and their relationship with the demographic characteristics of operating room nurses.
Materials and Methods: This cross-sectional study was conducted on 350 operating room nurses at Ahvaz teaching hospitals in Iran in 2023. Data were collected using a questionnaire that included demographic information and LBP characteristics. Data were analyzed using IBM SPSS.
Results: 64.8% of the subjects were female, 63.5% were married, and their mean age was 33.83±7.02 years. The prevalence of LBP among operating room nurses was 74.3%. In 60.7% of participant who have LBP, the first experience of back pain was in the past 5 years. The most common diagnosis of LBP was muscular disorders (29.9%). Also, 57.3% of them had pain only in the lower back and 42.7% of them had LBP radiating to the legs. We found no statistically significant relationship between the duration and severity of LBP and demographic characteristics (P<0.05). A statistically significant relationship was found between the type of LBP and gender and level of education, as well as between the duration of LBP and severity of LBP (P<0.05).
Conclusion: The findings of this study showed a high prevalence of LBP among operating room nurses, and differences in the type of LBP were observed based on gender and educational level, which may be attributed to individual factors. Additionally, the significant relationship between the duration of LBP and its severity may indicate the effect of the long duration of LBP on its severity, which suggests that providing counseling and treatment programs for nurses who are in the early stages of LBP.
Results: 64.8% of the subjects were female, 63.5% were married, and their mean age was 33.83±7.02 years. The prevalence of LBP among operating room nurses was 74.3%. In 60.7% of participant who have LBP, the first experience of back pain was in the past 5 years. The most common diagnosis of LBP was muscular disorders (29.9%). Also, 57.3% of them had pain only in the lower back and 42.7% of them had LBP radiating to the legs. We found no statistically significant relationship between the duration and severity of LBP and demographic characteristics (P<0.05). A statistically significant relationship was found between the type of LBP and gender and level of education, as well as between the duration of LBP and severity of LBP (P<0.05).
Conclusion: The findings of this study showed a high prevalence of LBP among operating room nurses, and differences in the type of LBP were observed based on gender and educational level, which may be attributed to individual factors. Additionally, the significant relationship between the duration of LBP and its severity may indicate the effect of the long duration of LBP on its severity, which suggests that providing counseling and treatment programs for nurses who are in the early stages of LBP.
Hamidreza Khakrah, Mohammadreza Yazdankhahfard, Masoud Bahreini, Niloofar Motamed,
Volume 19, Issue 3 (9-2025)
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.
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.
Afzal Shamsi, Musab Ghaderi, Sajjad Mirzaee,
Volume 19, Issue 3 (9-2025)
Volume 19, Issue 3 (9-2025)
Abstract
Background and Aim: One of the risks of the nursing profession is psychosocial risks that affect their adaptation and, consequently, their resilience. This risk can have a deeper impact in certain situations such as the COVID-19 pandemic; Accordingly, the present study was conducted with the aim of “determining the relationship between resilience and demographic information in nurses working in COVID-19 special wards”.
Materials and Methods: The present study was a cross-sectional descriptive-analytical study and was conducted among 128 nurses working in the COVID-19 special wards of Ziaian Hospital in 2021. Participants were selected using convenience sampling based on inclusion criteria. Data were collected using demographic questionnaires and the Connor-Davidson Resilience Scale (CD-RISC). The scale’s score ranges from 0 to 100 (cutoff point 50), with scores above 50 indicating resilience. This questionnaire has been translated and validated by Iranian researchers. Its content validity was 0.82, and its reliability, based on Cronbach’s alpha, ranged from 0.74 to 0.9 for all subscales. The data were then analyzed using SPSS software with descriptive and inferential statistical tests. A P-value of less than 0.05 was considered statistically significant.
Results: The mean age of the participants was 35.59±7.22 years. The majority of nurses were male (61.7%) and married (89.8%). The mean resilience score among nurses was 37.25±5.68, which is considered very low given the cutoff point of 50. Results from linear regression showed that work experience (β=0.485, P=0.000), shift work (β=0.233, P=0.084), and employment type (β=0.189, P=0.021) had significant predictive power for overall resilience. This indicates that nurses with fixed shifts, more work experience, and permanent or contractual employment tend to have greater resilience. This analysis revealed that these variables, in total, predict 26% of the variance in the overall resilience variable.
Conclusion: Finally, the results of this study showed that the resilience of nurses working in COVID-19 special wards was low. Factors such as service history, work shift, and employment status were effective on their resilience. Accordingly, planning to improve the level of nurses’ resilience is necessary, especially in critical situations.
Materials and Methods: The present study was a cross-sectional descriptive-analytical study and was conducted among 128 nurses working in the COVID-19 special wards of Ziaian Hospital in 2021. Participants were selected using convenience sampling based on inclusion criteria. Data were collected using demographic questionnaires and the Connor-Davidson Resilience Scale (CD-RISC). The scale’s score ranges from 0 to 100 (cutoff point 50), with scores above 50 indicating resilience. This questionnaire has been translated and validated by Iranian researchers. Its content validity was 0.82, and its reliability, based on Cronbach’s alpha, ranged from 0.74 to 0.9 for all subscales. The data were then analyzed using SPSS software with descriptive and inferential statistical tests. A P-value of less than 0.05 was considered statistically significant.
Results: The mean age of the participants was 35.59±7.22 years. The majority of nurses were male (61.7%) and married (89.8%). The mean resilience score among nurses was 37.25±5.68, which is considered very low given the cutoff point of 50. Results from linear regression showed that work experience (β=0.485, P=0.000), shift work (β=0.233, P=0.084), and employment type (β=0.189, P=0.021) had significant predictive power for overall resilience. This indicates that nurses with fixed shifts, more work experience, and permanent or contractual employment tend to have greater resilience. This analysis revealed that these variables, in total, predict 26% of the variance in the overall resilience variable.
Conclusion: Finally, the results of this study showed that the resilience of nurses working in COVID-19 special wards was low. Factors such as service history, work shift, and employment status were effective on their resilience. Accordingly, planning to improve the level of nurses’ resilience is necessary, especially in critical situations.
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