Conectar
by Ibrahim Aqtam, Ahmad Ayed, Ahmad Batran, Moath Abu Ejheisheh, Riham H. Melhem, Mustafa Shouli
IntroductionWork engagement, defined as a positive, fulfilling, work-related state of mind characterized by vigor, dedication, and absorption, is crucial for nurse retention and quality of care in high-stress environments. Neonatal Intensive Care Units (NICUs) present unique emotional and psychological challenges for nurses, necessitating skills like emotional intelligence (EI) to enhance work engagement. This study investigates the association between EI, demographic factors, and work engagement among Palestinian NICU nurses.
MethodsA cross-sectional, descriptive correlational design was employed during February-April 2025. Of 230 nurses invited, 207 completed the survey (response rate = 90.2%) across 12 Palestinian NICUs using convenience sampling. Data analysis was conducted using descriptive statistics, Pearson’s correlation, and multiple linear regression via SPSS v26. Validated tools, the Schutte Self-Report Emotional Intelligence Test (SSEIT) and Utrecht Work Engagement Scale (UWES), were used.
ResultsEmotional intelligence (EI) demonstrated a strong positive correlation with work engagement (r = 0.693, p B = 0.463, β = 0.535, p = 0.002), female gender (B = −2.250, β = −0.115, p = 0.017), and rotating shifts (B = 1.579, β = 0.105, p = 0.028) were significant predictors. EI was the strongest predictor (B = 0.358, β = 0.593, p M = 47.3 ± 5.8).
DiscussionThe findings demonstrate strong associations between EI and engagement in high-stress NICU environments. Based on these findings, we propose implementing comprehensive EI training programs in nursing curricula, establishing mentorship programs to address age-related disparities, and developing gender-sensitive workplace policies to optimize work engagement and improve patient care quality.
Diagnosing pulmonary tuberculosis (PTB) in children is challenging owing to paucibacillary disease, non-specific symptoms and signs and challenges in microbiological confirmation. Chest X-ray (CXR) interpretation is fundamental for diagnosis and classifying disease as severe or non-severe. In adults with PTB, there is substantial evidence showing the usefulness of artificial intelligence (AI) in CXR interpretation, but very limited data exist in children.
A prospective two-stage study of children with presumed PTB in three sites (one in South Africa and two in Pakistan) will be conducted. In stage I, eligible children will be enrolled and comprehensively investigated for PTB. A CXR radiological reference standard (RRS) will be established by an expert panel of blinded radiologists. CXRs will be classified into those with findings consistent with PTB or not based on RRS. Cases will be classified as confirmed, unconfirmed or unlikely PTB according to National Institutes of Health definitions. Data from 300 confirmed and unconfirmed PTB cases and 250 unlikely PTB cases will be collected. An AI-CXR algorithm (qXR) will be used to process CXRs. The primary endpoint will be sensitivity and specificity of AI to detect confirmed and unconfirmed PTB cases (composite reference standard); a secondary endpoint will be evaluated for confirmed PTB cases (microbiological reference standard). In stage II, a multi-reader multi-case study using a cross-over design will be conducted with 16 readers and 350 CXRs to assess the usefulness of AI-assisted CXR interpretation for readers (clinicians and radiologists). The primary endpoint will be the difference in the area under the receiver operating characteristic curve of readers with and without AI assistance in correctly classifying CXRs as per RRS.
The study has been approved by a local institutional ethics committee at each site. Results will be published in academic journals and presented at conferences. Data will be made available as an open-source database.
PACTR202502517486411
People experiencing housing insecurities or homelessness face significant barriers to equitable healthcare. A drop-in wound care service was established to mitigate social barriers and improve accessibility. This model facilitates direct access to a multidisciplinary team of trauma-informed medical staff on a walk-in basis. A retrospective chart review was performed on patients seen at the drop-in clinic from January 2021 to December 2021. A total of 119 patients were serviced over 798 visits, with 254 unique wounds managed. 82.8% of patients were living unsheltered, in emergency shelters or in provisional accommodation at the time of assessment. Trauma wounds, lower leg ulcers and frostbites represented the top three complaints. 69.7% of all patients returned to service for at least a second visit, with a median of 4 visits per patient over 42.5 days. Unsheltered patients were most likely to return to service (87.5%) but were most likely to be lost prior to wound closure (68.8%). Timely access to care with consistent follow-up is essential for quality wound care. Our drop-in service presents a working model for providing equitable wound care to socially disadvantaged patient populations. The effectiveness of this model is highlighted by the continual expansion serving 909 and 1029 visits in subsequent years.
The aim of this study was to determine the effect of real-time videos with smart glasses on the performance of cardiopulmonary resuscitation performed by nursing students. In this randomized controlled pilot study, the students were randomly assigned to the smart glass group (n = 12) or control group (n = 8). Each student's cardiopulmonary resuscitation performance was evaluated by determining sequential steps in the American Heart Association algorithm they applied and the accuracy and time of each step. A higher number of participants correctly checked response breathing, requested a defibrillator, activated the emergency response team, and provided appropriate chest compressions and breaths in the smart glass group than the control group. There were significant differences between groups. Furthermore, more participants significantly corrected chest compression rate and depth and hand location, used a defibrillator, and sustained cardiopulmonary resuscitation until the emergency response team arrived in the smart glass group than in the control group. Additionally, a significantly shorter time was observed in the smart glass group than in the control group in all variables except time to activate the emergency response team (P This study evaluates the effects of endotracheal suctioning duration on cerebral oxygenation and physiological parameters in preterm infants in intensive care.
Prospective and observational study.
In this study, 51 preterm infants born at 28–34 weeks of gestation in NICU were evaluated. Cerebral oxygenation was measured before, during, and after endotracheal suctioning with near-infrared spectroscopy. Pain levels of the infants were with N-PASS scale.
A negative correlation was found between the lowest cerebral oxygenation value during endotracheal suctioning and the duration of endotracheal suctioning. Cerebral oxygenation levels during endotracheal suctioning were lower than pre- and post-endotracheal suctioning levels. Higher cerebral oxygenation was observed in infants whose endotracheal aspiration time was less than 13 s. The duration of endotracheal suctioning was positively correlated with pain and cerebral oxygenation stabilization time.
Prolonged endotracheal suctioning duration negatively affects cerebral oxygenation in preterm infants. The study suggests an optimal endotracheal suctioning duration under 13 s.
Properly executed endotracheal suctioning, with the correct technique and knowledge, can alleviate the adverse physiological effects observed in preterm infants and contribute to routine nursing care in intensive care units.
This study has been reported in line with STROBE checklists.
No patient or public contribution was required to design or undertake this research. Patients contributed only to the data collection.
This study contributes to defining the ideal endotracheal aspiration duration, as there is not enough data so far. It showed the effect of prolonged endotracheal aspiration time on cerebral oxygenation, pain and physiological parameters in preterm infants.
To determine the incidence of pressure injuries from medical devices in children.
Medical devices can cause pressure injuries on skin and soft tissues.
A prospective, descriptive study adhering to STROBE guidelines.
This study was conducted in the third-level Paediatric Intensive Care Unit of Ege University Hospital in İzmir, Türkiye between April 2019 and October 2019 in Türkiye. Patients aged between 1 month and 18 years with medical devices were observed for pressure injuries using Braden scales and a specific monitoring form.
In this study, we followed 522 medical devices applied to 96 patients. The three most commonly used medical devices were the ECG probe (21%), the blood pressure cuff (16%) and the saturation probe. Out of the 522 medical devices followed, 36 caused pressure injuries (6.8%).
The incidence of medical device-related pressure injuries was found to be high. Effective training and implementation strategies need to be devised for paediatric nurses to prevent pressure injuries associated with medical devices.
The results of this study reveal that pressure injuries related to medical devices are an important health problem in paediatric hospitals. Therefore, awareness-raising and educational activities among health professionals and nurses should be accelerated.
No patient or public contribution in the study.
FreshRSS 