The Assessment of Awareness of Early Warning Signs of Bipolar Disorder Recurrence Among Patients and Their Main Caregivers in Jordan.

Introduction: One of the biggest challenges to public health is increasing knowledge of the early warning signs (EWS) of bipolar disorder recurrence. The recurrence incidence is still high despite multiple attempts to improve the awareness level. The awareness level is still ambiguous and insufficient.

Relationship Between Alarm Fatigue and Stress Among Acute Care Nurses: A Cross-Sectional Study.

Introduction: Given the vital nature of their profession, ICU nurses endure significant psychological and physical stress. Burnout, low job satisfaction, and deteriorated patient care might result from the high-stress atmosphere.

Objectives: This study aims to assess the level of alarm fatigue and stress among nurses who work in acute care units.

Exploring the Level of Self-Care Behavior, Motivation, and Self-Efficacy among Individuals With Hypertension: A Cross-Sectional Study.

Introduction: Hypertension is a serious public health issue. It is a significant but controllable factor in the emergence of cardiovascular disease. Controlling hypertension is a main target for individuals to prevent further illness.

The Glasgow Coma Scale and Full Outline of Unresponsiveness score evaluation to predict patient outcomes with neurological illnesses in intensive care units in West Bank: a prospective cross-sectional study.

Background: Determining the clinical neurological state of the patient is essential for making decisions and forecasting results. The Glasgow Coma Scale and the Full Outline of Unresponsiveness (FOUR) Scale are commonly used tools for measuring behavioral consciousness. This study aims to compare scales among patients with neurological disorders in intensive care units (ICUs) in the West Bank.

Predicting mortality amongst Jordanian men with heart attacks using the chi-square automatic interaction detection model.

One of the most complicated cardiovascular diseases in the world is heart attack. Since men are the most likely to develop cardiac diseases, accurate prediction of these conditions can help save lives in this population. This study proposed the Chi-Squared Automated Interactive Detection (CHAID) model as a prediction algorithm to forecast death versus life among men who might experience heart attacks.

Extracorporeal Membrane Oxygenation and Lebanese Critical Care Nurses' Perceptions: A Qualitative Phenomenological Study.

Introduction: The training of nursing staff to deliver extracorporeal membrane oxygenation in Lebanon has recently attracted attention. It is important to comprehend the background of nurses who take on this new duty.

Objectives: The main objectives of this study were to (1) explore the experiences of intensive care unit nursing staff who work with extracorporeal membrane oxygenation, (2) identify the psychological and physiological challenges experienced by intensive care unit nurses while managing patients with extracorporeal membrane oxygenation, and (3) determine the roles assumed by intensive care unit nurses while managing patients utilizing extracorporeal membrane oxygenation.

Preoperative anxiety, postoperative pain tolerance and analgesia consumption: A prospective cohort study.

Background: Anxiety affects the patient's perception of postoperative pain and causes a significant increase in the consumption of analgesia postoperatively.

Objective: This study assesses the relationship between preoperative anxiety, postoperative pain and postoperative pethidine consumption.

Methods: A prospective cohort design was used.

The burden in family caregivers of people living with dementia: prevalence and predictors.

Background: Providing care for people with dementia incorporates a level of burden which can affect quality of life for both the caregiver and the recipient of care. This study measures the level of burden experienced by Jordanian caregivers for people with dementia and explore related predictors.

Methods: Through a cross-sectional survey, participants were invited through convenience sampling to participate in a structured interview.

Jordanian nursing students' knowledge and attitudes of corneal donation.

A high success rate of corneal transplants is evident. However, there is still a lack of corneal grafts available to meet demand, largely because donors are reluctant to donate. Given their critical role in future healthcare teaching and advocacy.

COVID-19 vaccine acceptance and associated factors among pregnant and lactating women attending maternity care clinics in refugee camps in Jordan.

Background: Despite the advantages of vaccination in preventing maternal and fetal problems, there were many concerns in the medical community regarding vaccine safety for pregnant women, and this has put obstetricians in a challenging situation when it comes to advising their pregnant patients on whether to obtain the vaccine.

Aim: This study was performed to define the level of acceptance of COVID-19 vaccination and assess the impact of COVID-19 attitudes and knowledge on vaccine acceptance between pregnant and lactating Syrian women who are seeking prenatal care services at the clinics in Azraq refugee camp in Jordan.

Method: A quantitative, cross-sectional study utilizing a non-probability convenience sample.

Perceptions of spirituality and predictors of competence in spiritual care among nursing students in five middle eastern countries: A cross-sectional survey.

Background: Spiritual Care is integral to holistic nursing; however, it often remains underprovided due to a lack of education.

Objective: This study examined perceptions of spirituality and predictors of competence in spiritual care among nursing students in Middle Eastern countries.

Design: A cross-sectional survey was used.

Barriers to Pain Management as Perceived by Cancer and Noncancer Patients With Chronic Disease.

Background: Pain is the most common symptom experienced by both cancer and non-cancer patients. A wide variety of barriers may hinder the optimal treatment of cancer and noncancer pain that are related to the health care system, health care providers, and patients.

Purpose: To explore the barriers to pain management as perceived by patients with cancer and noncancer chronic diseases.

Transforming cancer clinical trials: The integral role of artificial intelligence in electronic health records for efficient patient recruitment.

Healthcare is one of the sectors where artificial intelligence (AI) is currently viewed as a crucial driving factor. Patient care, medical research, and clinical trial enrollment could all significantly improve due to AI's incorporation into electronic health records (EHRs). This short communication highlights how AI may improve the recruitment process regarding speed, accuracy, and overall cancer clinical trial efficiency.

Effectiveness of blended learning basic life support module on knowledge and skills: A systematic review of randomized controlled trials.

Aim: To examine the effectiveness of the BLS blended learning module on knowledge and skills of BLS compared to the traditional module.

Method: Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines were utilized using key words to searched PubMed, Web of Science, and Cochrane Library for the studies published between January 2018 to May 2022. was assessed utilizing the Joanna Briggs Institute (JBI) critical appraisal checklist.

The influence of the pulmonary recruitment maneuver on post-laparoscopic shoulder pain in patients having a laparoscopic cholecystectomy: a randomized controlled trial.

Background: Post-laparoscopic shoulder pain is very common after laparoscopy. One method to reduce postoperative shoulder pain is the pulmonary recruitment maneuver. It is used to reduce post-laparoscopic shoulder pain.

Effective Prediction of Mortality by Heart Disease Among Women in Jordan Using the Chi-Squared Automatic Interaction Detection Model: Retrospective Validation Study.

Background: Many current studies have claimed that the actual risk of heart disease among women is equal to that in men. Using a large machine learning algorithm (MLA) data set to predict mortality in women, data mining techniques have been used to identify significant aspects of variables that help in identifying the primary causes of mortality within this target category of the population.

Objective: This study aims to predict mortality caused by heart disease among women, using an artificial intelligence technique-based MLA.

Electronic health literacy and its association with lifestyle behavior among undergraduate students: A cross-sectional survey.

Background: This study aims to assess healthy lifestyle behaviors among undergraduate students and determine the association between electronic health literacy with lifestyle behavior among undergraduate Jordanian university students.

Methods: A descriptive cross-sectional design was used. The study recruited 404 participants utilizing undergraduate students from public and private universities.

Researching the job satisfaction of migrant critical care nurses in Saudi Arabia.

Background: Nurses' job satisfaction is a crucial component of a safe and efficient healthcare environment.

Aim: To understand the level of job satisfaction among migrant nurses working in intensive and critical care in Saudi Arabia.

Method: This study used a quantitative descriptive design.

LARGE-SCALE DATA IN HEALTH CARE: A CONCEPT ANALYSIS.

This paper aims to conceptually analyze "large-scale data" in the healthcare field to improve its clarity in the literature. Thematic analysis was applied to avoid the haphazard results in recognizing the attributes, antecedents, and consequences of the concept analysis. Large-scale data is a huge heterogeneous amount of data characterized by high volume, velocity, variety, and veracity.

Nursing Leadership Style, Training Methods, and Use of Electronic Health Records by Nurses in Jordanian Hospitals: A Descriptive Study.

Aim: The study aimed to assess the level of practice of nursing leadership characteristics during the implementation of electronic health records as perceived by nurses.

Method: A cross-sectional survey design was used in this study. The study recruited 213 nurses from five hospitals which had recently implemented electronic health solution.

Machine-learning Algorithms for Ischemic Heart Disease Prediction: A Systematic Review.

Purpose: This review aims to summarize and evaluate the most accurate machinelearning algorithm used to predict ischemic heart disease.

Methods: This systematic review was performed following PRISMA guidelines. A comprehensive search was carried out using multiple databases such as Science Direct, PubMed\ MEDLINE, CINAHL, and IEEE explore.