PurposeThis study aimed to identify factors that influenced job satisfaction and dissatisfaction, and the intention of staff nurses to quit nursing in three Jordanian healthcare delivery sectors.Design/methodology/approachA cross‐sectional design was used to answer the research aims. A purposive sample of 180 critical care nurses in three hospitals during 2007 was used. Nurses completed a self‐administered questionnaire consisting of demographic items, a job satisfaction survey, as well as a question eliciting the intention to quit. The authors used descriptive and inferential statistics, ANOVA, correlational, regression and post‐hoc tests to analyze the data.FindingsThe grand mean for satisfaction for all nurses was 3.44 (±0.51) out of 6. They reported being highly satisfied with the item “I like the people I work with”, and reported the least satisfaction with the item “I have too much to do at work”. The mean value for nurses' intention to quit was 2.56 (±0.89) out of 4, with 59 per cent reporting that they “Likely” or “Very Likely” intended to leave their workplace. The nurses' level of job satisfaction significantly predicted their intention to leave their workplace (F=32.1, p < 0.001).Practical implicationsThe results can be used as a basis for decision making and future planning. Results also highlight the need to emphasize positive factors to enhance employees' satisfaction and to brainstorm solutions for improving job satisfaction and retaining nurses.Originality/valueThe study addressed an important clinical concern at a time of sparse research literature in Jordan. The findings are noteworthy and important for the delivery of proper nursing care that would lead to improved health status for the society.
Intention to prostate cancer screening (PCS) is one of the major factors affecting the long-term success of population-based PCS programmes. The aim of this study is to explore strong factors linked to intention to PCS among older Jordanian adults using the Health Belief Model (HBM). Data were obtained from Jordanian older adults, aged 40 years and over, who visited a comprehensive health care centre within a ministry of health. A pilot test was conducted to investigate the internal consistency of the Champion Health Belief Model Scale for PCS and the clarity of survey questions. Sample characteristics and rates of participation in PCS were examined using means and frequencies. Important factors associated with intention to PCS were examined using bivariate correlation and standard multiple linear regression analysis. About 13% of the respondents were adherent to PCS over the prior decade. Four out of the seven HBM-driven factors (perceived susceptibility, benefits and barriers to prostate-specific antigen (PSA) test, and health motivation) were statistically significant. Those with greater levels of susceptibility, benefits of PSA test and health motivation and lower levels of barriers to PSA testing were having more intention to participate in PCS. Family history, presence of urinary symptoms, age and knowledge about prostate cancer significantly predicted the intention to PCS. Intervention programmes, which lower perceived barriers to PSA testing and increase susceptibility, benefits of PSA testing and health motivation, should be developed and implemented.
Background: Participation is one of the major factors affecting the long-term success of population-based prostate cancer screening programs. The aim of this study was to explore strong factors linked to participation in prostate cancer screening among older Jordanian adults using the Health Belief Model (HBM). Materials and Methods: Data were obtained from Jordanian older adults, aged 40 years and over, who visited a comprehensive health care center within the Ministry of Health. A pilot test was conducted to investigate the internal consistency of the the Champion Health Belief Model Scale for prostate cancer screening and the clarity of survey questions. Sample characteristics and rates of participation in prostate cancer screening were examined using means and frequencies. Important factors associated with participation in prostate cancer screening were examined using bivariate correlation and multivariate logistic regression analysis. Results: About 13% of the respondents had adhered to prostate cancer screening guidelines over the previous decade. Four out of the seven HBM-driven factors (perceived susceptibility, benefits and barriers to PSA test, and health motivation) were statistically significant. Those with greater levels of susceptibility, benefits of PSA test and health motivation and lower levels of barriers to PSA testing were more likely to participate in prostate cancer screening. Family history, presence of urinary symptoms, age, and knowledge about prostate cancer significantly predicted the participation in prostate cancer screening. Conclusions: Health professionals should focus more on the four modifiable HBMrelated factors to encourage older adults to participate in prostate cancer screening. Intervention programs, which lower perceived barriers to PSA testing and increase susceptibility, benefits of PSA testing and health motivation, should be developed and implemented.
The purpose of the study is to evaluate the effectiveness of self-care management intervention on psychological wellbeing for Jordanian patients with type two diabetes mellitus. A quasi-experimental design was used. The study was conducted in a diabetes clinic of a specialized diabetes center in Amman. One hundred and forty-nine participants completed the three-month post-treatment assessments (76 in the intervention group and 73 in the control group). Both the control and intervention groups received a standard diabetic educational program. The intervention group received the following additional interventions: (1) Diabetes Self-care Management booklet, (2)DVD viewing, (3) counseling rehearsal session, and (4) a telephone follow-up. The main study instrument was an Arabic version 20 of the depression anxiety stress scales: To assess the group differences of dependent variable changes, repeated measure ANOVA was used. It was found that psychological wellbeing was not significant at 2-week post-intervention and significant change was observed at 3-month post-intervention. The findings from this study can guide the health providers to be trained to provide relevant diabetic interventions into their nursing interventions, education, and research.
BackgroundConsideration needs to be given to a variety of factors that influence the implementation of evidence-based nursing practice (EBNP).AimThis study aimed to develop and validate a questionnaire that measures registered nurses' competencies, beliefs, facilitators, barriers, and implementation of EBNP.MethodsMethodological cross-sectional study in which 612 registered nurses were selected by convenient sampling. A panel of six experts evaluated the content validity of the first draft of the EBPCBFRI questionnaire. The final questionnaire was made up of 55 items. Reliability was determined by means of internal consistency. Construct, convergent, discriminant, and predictive validity was assessed.ResultsThe questionnaire has proven acceptable reliability and validity when used with registered nurses. The scale-level content validity index was .92. Cronbach's α coefficient for the total questionnaire was .87. Exploratory factor analysis supported five significant factors that explained 64.8% of the variance.
Background: Cyberbullying and cybervictimization, which have been linked to the growth of the Internet and issues with mental health, can have serious psychological and academic consequences for young individuals, yet they have received relatively little scientific attention at universities. These phenomena have become an alarming social issue due to their rising rate and devastating physical and psychological effects on undergraduate university students. Aim: to estimate the prevalence of depression, low self-esteem, cybervictimization, anxiety, cyberbullying, and Internet addiction among Saudi female nursing university students and to identify the factors that predict cybervictimization and cyberbullying. Methods: Convenience sampling was used to select 179 female nursing university students with an average age of 20.80 ± 1.62 years for the purpose of conducting a descriptive cross-sectional study. Results: The percentage of students who reported having low self-esteem was 19.55%, depression (30.17%), Internet addiction (49.16%), anxiety (34.64%), cyberbullying (20.67%), and cybervictimization (17.32%). There was an inverse relationship between students’ self-esteem and their risk of engaging in cyberbullying (AOR = 0.782, 95% CI: 0.830–0.950, p = 0.002) or becoming cybervictims (AOR = 0.840, 95% CI: 0.810–0.920, p < 0.001). Further, Internet addiction predicted both cyberbullying (AOR = 1.028, 95% CI: 1.012–1.049, p = 0.003) and cybervictimization (AOR = 1.027, 95% CI: 1.010–1.042, p < 0.001). The likelihood of experiencing anxiety was linked to cyberbullying (AOR = 1.047, 95% CI: 1.031–1.139, p < 0.001) and cybervictimization (AOR = 1.042, 95% CI: 1.030–1.066, p < 0.001). Conclusion: Importantly, the findings suggest that programs designed to help university students avoid participating in cyberbullying activities or becoming cybervictims should take into account the influence of Internet addiction, mental health issues, and self-esteem.
Scale was found to be a valid and reliable for use with Jordanian men.
Background: Students at universities increasingly struggle with mental health issues such as anxiety, depression, and stress. The present prevalence of these diseases may arise in the event of a crisis such as the coronavirus disease 2019 (COVID-19) pandemic. Aim: To estimate the level of anxiety, depression, and stress in female university nursing students, and to identify predictors for students’ anxiety, depression, and stress during the COVID-19 pandemic. Methods: An online cross-sectional descriptive study was conducted using a convenient sample of 115 female university nursing students. The Depression Anxiety Stress Scale (DASS-21) questionnaire was used to assess symptoms of anxiety, depression, and stress. Multivariate linear regression was used to identify predictors of anxiety, depression, and stress. Results: Stress, anxiety, and depression had prevalence rates of 23.7%, 18.5%, and 34.6%, respectively. Significant anxiety predictors included family support, family salary, being diagnosed with chronic illness, and being exposed to patients with COVID-19. Significant correlations were found between family support, family salary, family history of mental illness, and fear of being infected with COVID-19 and depression in female university nursing students. Students’ levels of stress were predicted by family support. Conclusion: The level of anxiety, depression, and stress among female university nursing students was determined to be moderate. It is advised that university nursing students receive interventions that support their mental health.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.