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Maintaining mental health is essential for professions with higher stress levels and challenging environments, including emergency specializations. In this study, the occurrence of distress, anxiety, and depression among a group of ambulance and hospital emergency care professionals was assessed (n = 202). A cross-sectional, quantitative, descriptive online survey was conducted, including the internationally validated Beck depression inventory (BDI), the perceived stress scale (PSS-14), and the State–Trait Anxiety Inventory (STAI). Statistical analyses involved descriptive statistics, the χ2-test, Mann–Whitney U test, Kruskal–Wallis test, Dunn–Bonferroni test, logistic regression (LR), Cramer coefficient (Cramer's V), Kolmogorov–Smirnov test, and Spearman's rank correlation coefficient (rs). Based on the results, female professionals are more likely to have depressive symptoms (OR = 2.6, 95% CI = 1.3–5.1), perceived stress (OR = 1.2, 95% CI = 1.2–4.1), and anxiety (OR = 2.1, 95% CI = 1.0–4.1) than male professionals. Perceived stress levels decreased proportionally with increasing years spent working in healthcare (OR = 7.4, 95% CI = 7.1–8.3). Extended work shifts of 12 or 24 h increase the risk of perceived stress and anxiety in emergency care workers (p = 0.02). Customized stress management interventions are needed to mitigate the amplified mental strain associated with gender, working years, and longer shifts in the emergency care sector to sustain their mental health and well-being. [ABSTRACT FROM AUTHOR]

Background: Ensuring patient safety is of paramount importance in healthcare services. Sleep disorders not only have detrimental effects on the health of healthcare students but also significantly impair their performance, leading to an increased risk of medication errors. These errors can pose a grave threat to the safety and well-being of patients. It is crucial to address and mitigate sleep disorders among internship healthcare students to safeguard the quality of care and minimize potential patient harm. Objectives: This study aimed to investigate the predictors of Patient Safety Competency (PSC) based on the sleep quality of internship healthcare students. Methods: A study was conducted on 331 students from the Ardabil School of Nursing and Midwifery at Ardabil University of Medical Sciences in northwest Iran from August to December 2022. The participants were selected by stratified random sampling. Data were collected using a demographic information form, the Pittsburgh Sleep Quality Index (PSQI), and the Health Professional Education in Patient Safety Survey (H-PEPSS). The collected data were analyzed using SPSS software version 22.0. Person correlation coefficients were used to examine the relationship between PSC level, its dimensions, and sleep quality, while multiple linear regression was conducted to identify the predictors of PSC. Results: The competency of nurses in patient safety was average in both classroom and clinical settings. However, their ability to work as a team with other healthcare professionals scored the lowest. In addition, the quality of sleep was found to be a predictor of patient safety competency among healthcare students during their internships. Conclusions: It is important to note that healthcare students tend to have moderate patient safety competence (PSC), which is positively correlated with their sleep quality. Therefore, it is vital to identify the key factors that directly affect PSC. This would enable nursing and midwifery faculty administrators to take preventive measures to enhance patient safety competence in both classroom and clinical settings. Additionally, organizing educational workshops that engage students and improve their sleep quality could improve patient care. Practical courses are recommended for health professionals and students in clinical settings to enhance patient safety competencies. Additionally, student internships should receive hands-on training to improve teamwork and rest conditions. [ABSTRACT FROM AUTHOR]

Recently, online education has been gaining prominence in university life. Our survey aimed to examine sleep quality and perceived stress levels among students at the University of Pécs Faculty of Health Sciences. A cross-sectional, quantitative, descriptive survey was conducted between February and March 2023. The online survey included the Hungarian versions of the internationally validated Athens Insomnia Scale (AIS) and Perceived Stress Scale (PSS). Statistical analysis involved descriptive statistics, independent t-tests, analysis of variance (ANOVA), and Mann–Whitney and Kruskal–Wallis tests (p < 0.05). We analyzed 304 responses, and females dominated (n = 270; 88.8%). Students in a relationship had significantly higher AIS scores (t = −2.470; p = 0.014). Medium average (2.50–3.49) students and those who rarely/never exercise showed significantly higher AIS and PSS (p ≤ 0.05). Students on the phone/watching a series during online education, daily laptop/TV use for more than 2 h, and pre-sleep use of smart devices for more than 60 min also negatively affected AIS and PSS scores (p ≤ 0.05). Nursing, physiotherapy, and radiography students were the most affected regarding insomnia and perceived stress (p ≤ 0.05). Our survey shows that excessive smart device use and lack of exercise are associated with higher stress levels and poorer sleep quality. [ABSTRACT FROM AUTHOR]

BACKGROUND: Job analysis is one of the most important and widely used processes to determine job duties, identify and reduce potential risks, and specify the skills and facilities required for each job at the highest level of occupational safety and health. OBJECTIVE: This study aimed to perform psychometric analyses of the Persian version of the Fleishman Job Analysis Survey (FJAS). METHODS: A cross-sectional study was conducted among 31 drivers. Participants were selected by random sampling. Ten occupational health and ergonomics experts confirmed the validity of the survey. First, we calculated the survey's CVR and CVI. Then, we used ICC and Cronbach's alpha coefficients to evaluate the survey's reliability. Data analysis utilized SPSS 21. RESULTS: 78% of the participants were male and 22% were female. The mean age±SD of the participants was 39.1±11.82 years. The reliability and validity of the short version survey showed that the value of ICC and Cronbach's alpha coefficient was 0.96, and CVR was 0.75. Moreover, the values of CVI for simplicity, clarity, and relevance were 0.87, 1, and 0.73, respectively. The long version's ICC and CVR were 0.96 and 0.97, respectively. Simplicity, clarity, and relevance CVI scores were 0.9, 0.94, and 0.95. CONCLUSION: The results of this study showed that the Persian version of the Fleischman Job Analysis Survey has the necessary validity and reliability for job analysis, so it can be used for driving professional or research purposes. Moreover, this survey is an effective tool for obtaining accurate and complete knowledge of job tasks and requirements. [ABSTRACT FROM AUTHOR]

Aim: We aimed to investigate the association of the working environment noise with the psychosocial status and occupational stress level of the workers of an industrial company. Subject and methods: In this cross-sectional study, we enrolled all the employees at an industrial company. The Copenhagen Psychosocial Questionnaire was used to measure the workplace psychosocial factors and stress levels of the participants. Based on the sound level measurements, the company sections were divided into two areas: the areas with noise ≥85 dB (dB) A and the areas with noise <85 dB A. Then the participants were categorized into two groups based on the working area and the study variables were compared between the two groups. Results: We enrolled 401 workers from an industrial company. For 154 (38.4%) workers, the level of noise was equal to or above 85 dB A. According to the results of the Copenhagen Psychosocial Questionnaire, scores of the two groups were significantly different for scales related to cognitive, emotional, and sensory demands, possibilities for development, and predictability as well as workplace demand domain, which showed noise exposure level was significantly associated with perceived workplace demands (P = 0.002). Conclusion: This study showed a slight association between the psychosocial status and the level of noise in the workplace environment. [ABSTRACT FROM AUTHOR]

BACKGROUND: Occupational stress is one of the most important factors affecting nurse performance. However, there is a lack of data about the association between occupational stress and performance. OBJECTIVE: The aim of this study was to determine the occupational stress level and its association with job performance in hospital staff. METHODS: This cross-sectional study was conducted among 400 hospital staff of Tehran University of medical sciences in 2018. Subjects completed the World Health Organization Health and Work Performance questionnaire (WHO HPQ) for demographic and occupational characteristics, and the Short Form of Copenhagen questionnaire. RESULTS: The demand and individual interface domain received the highest and the lowest score of occupational stress respectively. We found that the median for absenteeism distribution was 16 hours and, in our study, less than 10 % of the nurses had low performance. Working in intensive care units, fewer night shifts, higher income, higher levels of vitality, and social support could decrease absenteeism. In addition, staff who felt more supported and reported lower emotional demands had higher performance. CONCLUSION: Since higher levels of social support could have positive influences on reducing absenteeism and improving performance, it is recommended that hospital managers should be encouraged to use educational programs, coping behaviors, and effective interventions to improve social support. Financial incentives are a factor that could also be used to reduce absenteeism. [ABSTRACT FROM AUTHOR]

BACKGROUND: Job-related psychosocial factors have a substantial effect on the occurrence of adverse events among healthcare professionals. OBJECTIVE: An analytical and descriptive survey was conducted to evaluate the relationship between the occurrence of patient safety incidents and psychological factors. METHODS: The study sample consisted of 177 nurses who were asked about patient safety events over six months. Repetitive patient safety incidents were selected by examining medical records and interviewing specialists. Also, psychological factors were assessed using job content questionnaire (JCQ). RESULTS: Repetitive patient safety incidents were involved medication administration error, pressure ulcer and skin-muscular injuries, patient falls, inability to CPR patients, blood transfusion reactions, and death due to human error. The findings showed that 92 participants (52%) had at least one case of patient safety incident. Among patient safety incidents, medication administration error and death due to human error had the highest and lowest repletion, respectively. Nurses training, job insecurity and peer support were significant predictors of different aspects of patient safety (p < 0.05). CONCLUSION: Proper collaboration between new and experienced nurses can have a significant impact to reduce patient safety incidents. In addition, nursing training can be a good way to understand risk points in medical errors. [ABSTRACT FROM AUTHOR]

Background: Healthcare professionals worldwide are prone to sleep disturbance. Such sleep disturbance is associated with lower patient safety and quality of care. Therefore, this study aimed to identify the prevalence of sleep disturbance and determine the effect of work schedule characteristics on sleep disturbance among healthcare professionals in Europe and South Korea. Methods: We used the sixth European Working Conditions Survey and the fifth Korean Working Conditions Survey for analyses. The study included 2285 healthcare professionals aged 18–65 years. Work schedule characteristics included shift work, night work, working hours per week, long work hours (i.e., more than 10 hours per shift), quick return to work, having to come to work on short notice, and changes in work schedules. A multiple logistic regression analysis was performed. Results: The overall prevalence of sleep disturbance was 37.7%. The multivariate logistic regression model indicated that long work hours, quick return to, having to come to work on short notice, and changes in work schedules were significant factors associated with sleep disturbance among healthcare professionals. Conclusion: The findings revealed that several work schedule-related factors were associated with sleep disturbances in healthcare professionals in Europe and Korea. Institutions and policymakers should implement strategies and policies to reduce the unpredictability of work schedules to ensure an adequate rest period between shifts and to reduce sleep disturbances. [ABSTRACT FROM AUTHOR]

Background: Many studies have measured sleep disturbances among nurses globally, but none have addressed this issue in Vietnam. Therefore, this study aimed to assess the prevalence of sleep disturbance and identify associated factors among staff nurses in Vietnam. To identify sleep disturbances and associated factors among staff nurses in Vietnam. Methods: A cross-sectional design was used in this study. Participant nurses (n = 420) completed a general information questionnaire, the Vietnamese version of the General Sleep Disturbance Scale (GSDS), the Perceived Stress Scale, and the Short Form 12. Data were collected between July and September 2019 from three public hospitals located in southwestern Vietnam. Data were analyzed using Chi-square, independent Student's t-test, and multivariate logistic regression analysis. Results: The average GSDS score was 41.10 (SD = 19.48), indicating sleep disturbances among 46.9% of nurses. Age, health condition, stress, and quality of life had an impact on sleep disturbance. Multivariate logistic regression analysis confirmed that nurses with high stress and poor physical health status were more likely to experience sleep disturbances. Conclusion: Vietnamese nursing staff suffers from a high rate of sleep disturbances. Significant predictors included high stress and poor physical health status. Administrators of healthcare services should carefully consider how to conduct interventions to help the nurses handle their sleep disturbances such as stress management and physical health promotion. [ABSTRACT FROM AUTHOR]

Background: The prevalence study of health conditions can help policy makers to document base policymaking. This study aimed to reveal the health status, including the prevalence of geriatric syndrome health conditions such as activity of daily livings, pain, and physical and mental health of older adults in Tehran province. Methods: This cross-sectional study was a telephone survey with older people ≥60 years old using a systematic random sampling of telephone numbers in Tehran province. The Persian version of the Katz' activity of daily living (ADL) and the Lawton's instrumental activity of daily living (IADL) questionnaires were used to evaluate the functional status. Pain, history of chronic diseases, continence, hospital admission, sensory problems, and self-perceived health (SPH) were asked by trained nurses or gerontologists thorough telephone interviews. Results: In this study, 1251 older adults with the mean age of 67.03±7.51 years have been recruited. About 64.50% (95% CI: 64.4-64.6) of them were totally independent according to ADL (female=60.02% and male=68.50%), and about 40.50% (95% CI: 40.4-40.5) were independent based on IADL domains (female=39.41% and male=41.80). The dependency rates in ADL increased with the aging of population. Joint pain was the most prevalent type of pains and near to 26.00% (95% CI: 64.4-64.6) of the participants suffered moderate joint pains. About 71.5% (95% CI: 71.4-71.5) of the participants were urinary continent (female=67.66% and male=76.06%), and 91.9% (95% CI: 91.9-92.0) had bowel control (female=91.47% and male=92.94%) and the prevalence of incontinence increased by advancing age. Only 26.70% (95% CI: 26.6-26.8) of the participants reported excellent and good levels of perceived health status (female=21.98% and male=31.48%) and about 26.2% (95% CI: 26.1-26.2) of them reported some degree of visual impairment. Conclusion: The results of the present study can provide a good view about the health profile of older adults, including pain, functional status, sphincter control, chronic diseases, sensory status, and SPH. Future studies should prioritize SPH as an important predictor of mortality rates. [ABSTRACT FROM AUTHOR]

Background: One of the main goals of healthcare systems is to maintain and promote women’s health. According to the literature, different factors, such as demographic characteristics, occupational status, stress, culture, and epidemics, can affect women’s health. This study aimed to determine the health status of employed women and its association with their demographic characteristics. Methods: This analytical, cross-sectional study was conducted on 325 women working in healthcare centers affiliated with Guilan University of Medical Sciences, Gilan Province, Iran, in 2019. After receiving their informed consent, the study subjects were chosen by random group sampling method. The study data were obtained using a General Health Questionnaire (GHQ). Data analysis was performed by the Chi-square test at a significant level of 0.05 in SPSS software, v. 23. Results: The Mean±SD age of the study women was 42.10±8.19 years, and 52.63% of them were nurses, 16.92% physicians, 19.39% midwives, and 11.7% health workers. Based on the present study results, 39.7% of the participants are suspected of having a health disorder or problem. According to the analysis, significant relationships were observed between women’s health and variables of age (P≤0.0001), level of education (P=0.03), occupational status of spouse (P≤0.0001), income level (P=0.02), and place of residence (P≤0.0001). Nevertheless, no significant association was found between women’s health and marital status and place of birth. Conclusion: Improving the health of healthcare staff requires special attention and appropriate supportive measures. Given the stressful conditions of healthcare staff, cognitive and behavioral interventions to improve work-life balance can enhance their performance regarding patient care while promoting their welfare. [ABSTRACT FROM AUTHOR]