Aim: To describe the use of artificial intelligence (AI) by nurse managers to enhance management, leadership, and healthcare outcomes.Background: AI represents a significant transformation in healthcare management by enhancing decision‐making, communication, and resource optimization. However, the integration and strategic application of AI in nursing management are underexplored, particularly regarding its impact on leadership roles and healthcare delivery.Methods: Methodological guidelines described by PRISMA were followed, and quality was assessed using the Joanna Briggs Institute (JBI) methodology. The databases searched included the Web of Science, Scopus, CINAHLi, and PubMed. The review included quantitative, qualitative, and mixed‐method studies published between January 2015 and April 2024.Results: Fourteen studies were selected for the review. The key findings indicate that AI technologies facilitate better resource management, risk assessment, and decision‐making. AI also supports nurse managers in leading changes, enhancing communication, and optimizing administrative tasks.Conclusion: AI has been progressively integrated into nursing management, demonstrating significant benefits in operational efficiency, decision support, and leadership enhancement. However, challenges, such as resistance to technological change and ethical complexities, need to be addressed.Implications for Nursing Management: Specific training programs for nurse managers are essential to optimize the integration of AI. Such programs should focus on the management of AI applications and data analyses. In addition, creating interdisciplinary groups involving nurse managers, AI developers, and nursing staff is crucial for tailoring AI solutions to meet the unique needs of healthcare settings.

Background/Objectives: Postpartum depression is usually defined as a major depressive episode that occurs shortly after childbirth. This condition is most commonly found in females; however, paternal postpartum depression has begun to attract more research attention. This study aims to identify different instruments for measuring this mental health problem and to detect risk factors as well as the main sources of resilience in paternal postpartum depression. Methods: A literature review was conducted following the PRISMA method. Results: After analyzing 10 articles, it was determined that the Edinburgh Postpartum Depression Scale is the most widely used instrument for the diagnosis of postpartum depression in the female population, and after several studies, it has already been validated for the male sex. After several studies were analyzed to highlight the main risk factors for paternal postpartum depression, it was established that the most influential factor is male gender role stress. These findings highlight the traditional role of fathers today. Most health professionals see the mother as the priority. Conclusions: Paternal depression is a major problem for mothers and fathers today, as well as for the newborn. As time goes on, there is a growing need to incorporate fathers into current and future mental health programs to be able to provide the necessary support.

There is a great concern nowadays regarding alcohol consumption and drug abuse, especially in young people. Analyzing the social environment where these adolescents are immersed, as well as a series of measures determining the alcohol abuse risk or personal situation and perception using a number of questionnaires like AUDIT, FAS, KIDSCREEN, and others, it is possible to gain insight into the current situation of a given individual regarding his/her consumption behavior. But this analysis, in order to be achieved, requires the use of tools that can ease the process of questionnaire creation, data gathering, curation and representation, and later analysis and visualization to the user. This research presents the design and construction of a web-based platform able to facilitate each of the mentioned processes by integrating the different phases into an intuitive system with a graphical user interface that hides the complexity underlying each of the questionnaires and techniques used and presenting the results in a flexible and visual way, avoiding any manual handling of data during the process. Advantages of this approach are shown and compared to the previous situation where some of the tasks were accomplished by time consuming and error prone manipulations of data.

In adolescence, friends are important due to their influence on the acquisition of habits such as alcohol consumption. However, there is a lack of studies that describe the structural context of adolescents, which would be useful to implement prevention strategies. Therefore, our research question was how adolescent friendship networks influence alcohol consumption. Our goal was to determine the structural profile of adolescent at-risk alcohol users and their relational context in the classroom. We designed a descriptive cross-sectional study based on social network analysis to analyze structural patterns. We recruited 195 students. Social-network and alcohol-consumption variables were analyzed using the UCINET and STATA programs. Some 86.67% of participants had consumed alcohol at some time in their lives and the prevalence of at-risk alcohol use was higher in females (50.48% vs. 49.52%; OR: 1.84; CI 95%: 0.99–3.43%; p = 0.036). The lower the intensity of friendship, the more contacts adolescent at-risk alcohol users had within the network, and the easier it was for them to access their peers. Consequently, we conclude that the structure of a class is a key factor that merits further research.

During the COVID-19 pandemic, gender inequalities in nurses have been exacerbated through the images shown on social networks. This study aimed to explore and describe nursing students’ experiences and perceptions about gender inequalities in nurses during the COVID-19 pandemic. A descriptive qualitative study was carried out in two universities in 264 undergraduate nursing students. The photovoice method was used to guide the study. Results: Two main categories and four subcategories were described from the data: “gender-related stereotypes”, with “male leadership in a female profession” and “sexualization of female nurses” and “women’s vulnerability in the pandemic” with “the gender gap in the face of increased risk of contagion “ and “women’s emotional fragility”. Over the years, care has been considered a female task, and nursing continues to be thought of in this way. The nurse has been discriminated against, poorly considered as a professional, and, as a woman, subjected to gender roles.

Excessive alcohol consumption in adolescents is one of the most significant public health problems currently facing society. Social and geographical contexts contribute to the development of alcohol-related behavior in adolescents. The aim of this research is to analyze the social pattern related to alcohol consumption in adolescents based on their geographical environment. We designed a descriptive cross-sectional study based on social network analysis. We recruited 196 high school students between 16 and 18 years of age to participate in the study. The methodology applied was social network analysis by means of transitivity and homophily social triads. The data were analyzed using STATA statistical software. A total of 58.48% of rural adolescents consumed alcohol compared to 49.52% of urban adolescents. These results demonstrate that adolescents who live in rural areas exhibit a greater risk of drinking alcohol than those who live in urban areas. The presence of transitive triads increases the probability of sharing sociodemographic attributes in such a way that it may be considered one of the causes of homophily, contributing to adolescents taking greater risks, such as consuming alcohol.