Psychiatric nurses are challenged with high levels of stress, which, in turn, lower their professional quality of life (ProQoL) and job satisfaction and increase their intention to leave jobs in psychiatric settings. An adequate level of ProQoL improves patient care provision. The purpose of this study is to assess the levels, relationships, and predictors of the professional quality of life of Jordanian psychiatric nurses and their job satisfaction and intention to leave their job. A descriptive cross-sectional design was used to collect data using the Professional Quality of Life Scale-5 from a convenience sample. Data were collected from 144 psychiatric nurses working in the largest psychiatric hospitals run by Ministry of Health, military, and university-affiliated hospitals. The results showed that the mean scores for compassion satisfaction (CS), burnout (BO), and secondary traumatic stress (STS) were 35.21, 27.0, and 26.36, respectively. The mean scores for intention to leave and job satisfaction were 2.33 and 3.7, respectively. The income level, educational level, intention to leave, and job satisfaction significantly differed in the CS dimension. Nurses’ age, intention to leave, and job satisfaction significantly differed in BO. Nurses’ age, years of experience, frequent C-shifts worked, and work affiliation were different in STS. Burnout, STS, and educational level predicted CS. CS, STS, job satisfaction, and level of education predicted BO. BO, CS, and frequently working night C-shifts predicted STS. Due to the presence of nurses reporting low levels of ProQoL, job satisfaction, and intension to leave, more studies are needed to assess the factors that affect ProQoL among psychiatric nurses and to evaluate interventional programs that improve the quality of life of psychiatric nurses. This is important in retaining nurses and increasing their job satisfaction. There is a need for interventions that enhance ProQoL. Also, longitudinal studies that measure ProQoL overtime are recommended. This study was not registered.

PURPOSE: The purpose of this study is to assess the perceived stress in nurses working in various departments including mental health and psychiatric nurses in Jordan and compare the all together.METHODS: Using a non-random convenience sample, 310 nurses working in various departments in Jordan representing five different hospitals were included. Nurses answered the Arabic Version of Perceived Stress Scale 10-Items Questionnaire (PSS10) and a Characteristic Checklist.RESULTS: This study showed that nurses working in psychiatric departments perceived the highest stress levels followed by oncology nurses (ONs), ICU/CCU, and ER nurses respectively. Medical and surgical nurses reported the lowest level of stress.CONCLUSIONS: This study showed that psychiatric nurses have the highest levels of stress among all participated nurses. This might lead to dissatisfaction with the work and high rates of burn out and turn over. All these factors can easily affect patients care and safety issue, especially psychiatric patients. It is highly recommended that nurse managers and policy makers pay a particular attention to this phenomenon and looking for causes of such high level of stress is important.

Background: Advanced technologies in intensive care units, including artificial intelligence and digitization, has implications for psycho-emotional aspects of caring in terms of communication, involvement, and holistic provision in a safe, effective, and efficient manner. Critical care nurses must maintain a balance between their technological and humanistic caring behaviours during the provision of individualized holistic patient care. Therefore, this study was conducted to examine level and predictors of caring behaviours among critical care nurses in two Arab countries. Methods: A cross-sectional design was used to achieve the objective of this study, whereby a quantitative online questionnaire survey was administered to 210 adult intensive care unit nurses at two government hospitals in Sharjah (United Arab Emirates), and two university hospitals in Amman (Jordan). Based on G* Power analysis, 200 participants were adequate to run the analysis. Results: On average, 49% of the whole sample had ‘good’ caring behaviours. Among nurses who were working in Emirati intensive care units, 48.5% had good caring behaviours, compared to 47.4% of Jordanian intensive care unit nurses. Additionally, the results showed that predictors of caring behaviours among nurses include female gender, holding a master’s degree, interest in nursing profession, and a 1:1 nurse-to-patient ratio. Conclusions: About half of the ICU nurses in this study had low levels of caring behaviours. The present study highlights the requirement for integrating the concept of holistic and patient-centred care as the essence of the nursing profession in nursing curricula to improve the level of care provided by all nurses working in intensive care units. Continuing education programs and specific interventional programs should be directed toward predictors of caring behaviours among each specific group of nurses. Future research is needed using qualitative methods to understand what the perception of intensive care unit nurses is about caring.

Effective medication adherence is vital for managing acute myocardial infarction (AMI) and enhancing patient well-being. This study aimed to evaluate medication adherence levels and associated factors among AMI patients using standardized assessment tools. Employing a cross-sectional descriptive design, the study involved 210 patients diagnosed with acute myocardial infarction. Participants completed the General Medication Adherence Scale (GMAS), Hospital Anxiety and Depression Scale (HADS), and provided socio-demographic details. The study revealed partial adherence to medications among AMI patients, with mean scores of 24.89 (± 3.64) out of 33. Notably, good adherence was observed in non-adherence due to patient behavior (mean ± SD = 11.8 ± 2.3 out of 15) and additional disease burden (mean ± SD = 8.65 ± 2.21 out of 12), while partial adherence was noted in non-adherence due to financial constraints (mean ± SD = 4.44 ± 1.34 out of 6). Patients reported mild anxiety (mean ± SD = 8.38 ± 2.81) and no depressive symptoms (mean ± SD = 7.43 ± 2.42). Multiple linear regression analysis indicated that employed status, younger age, shorter duration of MI, lower anxiety, and depression levels were associated with higher medication adherence. However, factors such as monthly income, gender, educational level, and marital status did not predict medication adherence. The study highlights the significance of addressing anxiety and depression levels and considering socio-demographic factors when designing interventions to enhance medication adherence among AMI patients. Further research is needed to explore additional determinants of medication adherence and develop tailored interventions to improve patient outcomes post-AMI.