Smartphones' impact on nursing performances: a cross-sectional multicenter study.

Background: In recent years, the technology world has significantly shaped society. This study aims to survey the views of registered nurses with hospital working experience regarding the personal communication devices use impact in hospital units. The secondary outcome of this study was to identify differences in mobile device use based on demographic and organizational factors. Study design: Cross-sectional study by survey. Methods: The questionnaire comprises 22 items divided into four sections. Overall 778 questionnaires were included in the study, 329 questionnaires were collected on pen-and-paper, whereas 449 by an online survey. Results: Findings showed that smartphones have a different impact on performance, utilization and impact scale according to gender, age and educational attainment. Generally males using more frequently personal communication devices for non-work-related activities affected negatively their working performance by respect to females. Moreover, younger nurses report being more distracted by using smartphones for non-work-related activities than older nurses. At the same time, younger nurses believe that smartphones may lead to an improvement in patient care skills. Nurses with fewer years of service (1 month - 10 years) report being more distracted by non-work-related activities on their smartphones than nurses with more years of service (>20 years). Conclusions: The smartphone is a potential distraction source. The most exposed groups are the younger nurses' and those with little work experience, and both groups (young age, less experience) can be considered factors for potential distraction.

Analyzing EEG patterns in young adults exposed to different acrophobia levels: a VR study.

Introduction: The primary objective of this research is to examine acrophobia, a widely prevalent and highly severe phobia characterized by an overwhelming dread of heights, which has a substantial impact on a significant proportion of individuals worldwide. The objective of our study was to develop a real-time and precise instrument for evaluating levels of acrophobia by utilizing electroencephalogram (EEG) signals. Methods: EEG data was gathered from a sample of 18 individuals diagnosed with acrophobia. Subsequently, a range of classifiers, namely Support Vector Classifier (SVC), K-nearest Neighbors (KNN), Random Forest (RF), Decision Tree (DT), Adaboost, Linear Discriminant Analysis (LDA), Convolutional Neural Network (CNN), and Artificial Neural Network (ANN), were employed in the analysis. These methodologies encompass both machine learning (ML) and deep learning (DL) techniques. Results: The Convolutional Neural Network (CNN) and Artificial Neural Network (ANN) models demonstrated notable efficacy. The Convolutional Neural Network (CNN) model demonstrated a training accuracy of 96% and a testing accuracy of 99%, whereas the Artificial Neural Network (ANN) model attained a training accuracy of 96% and a testing accuracy of 97%. The findings of this study highlight the effectiveness of the proposed methodology in accurately categorizing real-time degrees of acrophobia using EEG data. Further investigation using correlation matrices for each level of acrophobia showed substantial EEG frequency band connections. Beta and Gamma mean values correlated strongly, suggesting cognitive arousal and acrophobic involvement could synchronize activity. Beta and Gamma activity correlated strongly with acrophobia, especially at higher levels. Discussion: The results underscore the promise of this innovative approach as a dependable and sophisticated method for evaluating acrophobia. This methodology has the potential to make a substantial contribution toward the comprehension and assessment of acrophobia, hence facilitating the development of more individualized and efficacious therapeutic interventions.

To Be Frail or Not to Be Frail: This Is the Question-A Critical Narrative Review of Frailty.

Many factors have contributed to rendering frailty an emerging, relevant, and very popular concept. First, many pandemics that have affected humanity in history, including COVID-19, most recently, have had more severe effects on frail people compared to non-frail ones. Second, the increase in human life expectancy observed in many developed countries, including Italy has led to a rise in the percentage of the older population that is more likely to be frail, which is why frailty is much a more common concern among geriatricians compared to other the various health-care professionals. Third, the stratification of people according to the occurrence and the degree of frailty allows healthcare decision makers to adequately plan for the allocation of available human professional and economic resources. Since frailty is considered to be fully preventable, there are relevant consequences in terms of potential benefits both in terms of the clinical outcome and healthcare costs. Frailty is becoming a popular, pervasive, and almost omnipresent concept in many different contexts, including clinical medicine, physical health, lifestyle behavior, mental health, health policy, and socio-economic planning sciences. The emergence of the new "science of frailty" has been recently acknowledged. However, there is still debate on the exact definition of frailty, the pathogenic mechanisms involved, the most appropriate method to assess frailty, and consequently, who should be considered frail. This narrative review aims to analyze frailty from many different aspects and points of view, with a special focus on the proposed pathogenic mechanisms, the various factors that have been considered in the assessment of frailty, and the emerging role of biomarkers in the early recognition of frailty, particularly on the role of mitochondria. According to the extensive literature on this topic, it is clear that frailty is a very complex syndrome, involving many different domains and affecting multiple physiological systems. Therefore, its management should be directed towards a comprehensive and multifaceted holistic approach and a personalized intervention strategy to slow down its progression or even to completely reverse the course of this condition.

A Hospital Medical Record Quality Scoring Tool (MeReQ): Development, Validation, and Results of a Pilot Study.

Hospital medical records are valuable and cost-effective documents for assessing the quality of healthcare provided to patients by a healthcare facility during hospitalization. However, there is a lack of internationally validated tools that measure the quality of the whole hospital medical record in terms of both form and content. In this study, we developed and validated a tool, named MeReQ (medical record quality) tool, which quantifies the quality of the hospital medical record and enables statistical modeling using the data obtained. The tool was applied to evaluate a sample of hospital individual patient medical records from a secondary referral hospital and to identify the departments that require quality improvement interventions and the effects of improvement actions already implemented.

BART, the new robotic assistant: big data, artificial intelligence, robotics, and telemedicine integration for an ICU 4.0.

We are in the era of Health 4.0 when novel technologies are providing tools capable of improving the quality and safety of the services provided. Our project involves the integration of different technologies (AI, big data, robotics, and telemedicine) to create a unique system for patients admitted to intensive care units suffering from infectious diseases capable of both increasing the personalization of care and ensuring a safer environment for caregivers.

Schistosomiasis in Migrants: Bridging the Gap in Italy's Treatment Guidelines and Access.

Schistosomiasis is a widespread disease that can cause serious health issues if not diagnosed and treated promptly. Fortunately, there is an effective and safe treatment available: praziquantel. In countries with a high influx of migrants from schistosomiasis-endemic regions, it is crucial to ensure the availability of praziquantel. This discussion will address the barriers and the need for praziquantel in Italy.

Waning intra-season vaccine effectiveness against influenza A(H3N2) underlines the need for more durable protection.

BACKGROUND: The question of whether influenza vaccine effectiveness (VE) wanes over the winter season is still open and some contradictory findings have been reported. This study investigated the possible decline in protection provided by the available influenza vaccines. RESEARCH DESIGN AND METHODS: An individual-level pooled analysis of six test-negative case-control studies conducted in Italy between the 2018/2019 and 2022/2023 seasons was performed. Multivariable logistic regression analyses were performed to estimate weekly change in the odds of testing positive for influenza 14 days after vaccination. RESULTS: Of 6490 patients included, 1633 tested positive for influenza. Each week that had elapsed since vaccination was associated with an increase in the odds of testing positive for any influenza (4.9%; 95% CI: 2.0-8.0%) and for A(H3N2) (6.5%; 95% CI: 2.9-10.3%). This decline in VE was, however, significant only in children and older adults. A similar increase in the odds of testing positive was seen when the dataset was restricted to vaccinees only. Conversely, VE waning was less evident for A(H1N1)pdm09 or B strains. CONCLUSIONS: Significant waning of VE, especially against influenza A(H3N2), may be one of the factors associated with suboptimal end-of-season VE. Next-generation vaccines should provide more durable protection against A(H3N2).

Bloodless Gynecological Surgery in Blood Products Refusing Patients: Experience of a Single Institution.

Propose: This pilot study aimed to apply the central tenets of bloodless surgery and to analyze the effectiveness of specific preoperative, intraoperative, and postoperative strategies to minimize the risk for blood transfusion after gynecological surgery in a specific group of patients who refused blood products. Methods: A total of 83 patients undergoing gynecological surgery were included in the study. Forty-two patients received preoperatively oral iron, acid folic, and vitamin B12 supplementation in the 30 days before surgery, and 41 patients did not receive therapy. Results: No significant differences were found when comparing the two study groups. The implementation of all procedures to maintain a bloodless surgery has been helpful, in association with the other available procedures, in achieving optimal management and maintenance of hemoglobin levels, even in the most critical situations. Conclusion: In conclusion, implementing the bloodless approach as much as possible could guarantee the patient better and safer clinical and care management. Furthermore, well-designed research is required to clarify further the effects of bloodless surgery in gynecological patients.

Healthy Snack Project: Improving Healthy Choices through Multidisciplinary Food Education Actions.

School is one of the main settings where it is useful to guarantee health promotion actions, as it is well known that diet and eating habits that are shaped in the early stages of life are maintained through adulthood. The objective of this study was to carry out the "Healthy Snack" project to promote nutritional education in primary schools in the Province of Belluno in the 2022-2023 school year, in which 925 students were enrolled, and to evaluate the intervention in terms of changes in eating habits during their school breaks. Following the workshops performed by the healthcare workers (HCWs), medals were awarded, taking into account the quality of the participating students' mid-morning snacks, considering the food pyramid. The results collected in the annual survey period were related to the type and quantity of snacks consumed at school, and allowed students to gain a final score, comparing the period before and after the educational intervention to demonstrate the effectiveness of the actions promoted by HCWs and the increased nutritional quality of meals. In light of this evidence, public health strategies must continue to emphasize the importance of implementing health promotion interventions and actions aimed at children in order to prevent weight gain in this age group, and the potential development of cardiometabolic pathologies over their lifetime.

Convolutional Neural Network Model for Intestinal Metaplasia Recognition in Gastric Corpus Using Endoscopic Image Patches.

Gastric cancer (GC) is a significant healthcare concern, and the identification of high-risk patients is crucial. Indeed, gastric precancerous conditions present significant diagnostic challenges, particularly early intestinal metaplasia (IM) detection. This study developed a deep learning system to assist in IM detection using image patches from gastric corpus examined using virtual chromoendoscopy in a Western country. Utilizing a retrospective dataset of endoscopic images from Sant'Andrea University Hospital of Rome, collected between January 2020 and December 2023, the system extracted 200 × 200 pixel patches, classifying them with a voting scheme. The specificity and sensitivity on the patch test set were 76% and 72%, respectively. The optimization of a learnable voting scheme on a validation set achieved a specificity of 70% and sensitivity of 100% for entire images. Despite data limitations and the absence of pre-trained models, the system shows promising results for preliminary screening in gastric precancerous condition diagnostics, providing an explainable and robust Artificial Intelligence approach.

Tuberculosis in a Migrant Population: Integrated Management of a Case through the Prevention Department and Hospital Services.

Among numerous public health actions, the Prevention Departments of Local Health Authorities take charge of the migrant asylum-seeking population for health assessments, for the implementation of preventive activities, and for any consequent actions. This report describes two cases of tuberculosis in Belluno Province managed by a multidisciplinary team made up of healthcare workers that involved numerous diagnostic, clinical, and prophylactic implications, as well as an analysis of the epidemiological aspects related to the incidence of cases along the migration route. Although the cases occurred in a northeastern Italian territory, the management methods described here may represent good practices to share on this operational line, which can promote the strengthening of cooperation between Health Authorities and Emergency Reception Centers to correctly identify cases of active tuberculosis that may not have been initially screen-detected.