(1) Background: Self-medication, defined as the use of medications without professional supervision, is a common practice that presents both potential benefits and significant risks. This study analyzes the prevalence, patterns, and determinants of self-medication among health professionals in Spain. (2) Methods: A cross-sectional descriptive design was employed with 438 health professionals, predominantly women (81.1%), with a median age of 42 years. The majority of the healthcare workers were nurses (45%). (3) Results: The results revealed a high prevalence of self-medication (59.4%). Analgesics and anti-inflammatory drugs were the most commonly used. Age and professional knowledge emerged as significant factors influencing this behavior. The main reasons for self-medication included the mildness of symptoms, easy access to medications, and previous successful experiences. Digital sources, especially websites, were the most consulted. Confidence in artificial intelligence tools as a clinical resource was moderate, with 18% of participants consulting AI tools, a rate comparable to the 19.5% for scientific databases. Logistic regression analysis identified age, knowledge of recommended doses, and perceived efficacy as significant predictors, while concern about risks acted as a protective factor. (4) Conclusions: This study highlights the need for educational interventions aimed at promoting responsible self-medication practices and mitigating associated risks among healthcare professionals.

Stress and stressors related to clinical practice are some of the main reasons for the discomfort reported by nursing students. It is important to identify the causes of stress and seek strategies to reduce the stress levels in nursing students. Clinical training seminars have proven to be a useful tool to reduce stress levels. This study aims to evaluate the effects of a series of clinical training seminars on the levels of stress and perception of stress factors before the start of clinical practice among undergraduate Spanish nursing students. A two-phase, sequential mixed-methods design was used. For the quantitative phase, data were collected using Cohen’s Perceived Stress Scale and the KEZKAK questionnaire before and after the clinical training seminars. Qualitative data were collected through a focus group session held after the clinical training period. The results show a significant reduction (p = 0.002) in perceived stress levels after the clinical training seminars, and also a change in students’ perception of stressors in the clinical placement. This study provides valuable information for the development of content for clinical training seminars. Universities should develop strategies to reduce stress in their students caused by the clinical placement.

Background: During the COVID-19 pandemic, public confrontations between people who had agreed to be vaccinated and those who had not, highlighted the relevance of the deepening dissemination of violent and discriminatory expressions and determined a level of perception of hate discourses. Method: A cross-sectional observational study was carried out, based on an innovative methodology: simulations of WhatsApp conversations. In addition, the following variables were considered among others: level of empathy, personality traits and conflict resolution. Results: The participants were 567 nursing students (413 females, 153 males and 1 person who did not identify with any gender). The results showed that, for the most part, the participants correctly identified hate speech, but were unable to discern the frame of reference. Conclusions: It is necessary to implement intervention strategies to minimize the impact of hate speech, which continues to be used on many levels to harass others, justify violence or undermine rights, generating an environment of prejudice and intolerance that encourages discrimination and violent attacks against certain individuals or collectives.

(1) Background: The rise of online health resources and AI has reshaped the diagnosis and treatment of disease, altering the relationship between patients and healthcare professionals and encouraging self-medication. However, questionnaires validated in the literature on self-medication seem to lack questions on the possible causes that induce such behaviors, including items that explore trust toward websites and artificial intelligence. The aim of this study is to design and validate the content of a questionnaire designed to assess self-medication in health professionals, delving into the underlying etiologies, the pharmacological categories involved and the degree of confidence placed in clinical assessments derived from AI tools. (2) Methods: Validation study of the content of an instrument consisting of two phases: 1. The content validation phase involved evaluation by a selected group of health experts, who, using a Likert-type scale, analyzed the clarity, coherence and relevance of the items. 2. Pilot study of health professionals who have indicated the practice of self-administration of medications. (3) Results: In the first phase of the study, the experts considered most of the questionnaire items to be clear, representative and consistent with the construct to be measured. In its second phase, the preliminary results of our pilot study suggest a significant trend toward self-medication among healthcare workers, along with a strong inclination to use online resources to search for health-related information. (4) Conclusions: The development of a validated instrument to measure the influence of the different causes that lead healthcare personnel to practice self-medication, guaranteeing validity and efficacy, allows us to establish strategies to reduce this growing problem.

Background/Objectives: Mental health nurses are among the health professionals who show the highest levels of empathy and the most positive attitudes towards patients with mental disorders. Nevertheless, burnout is a prevalent issue among these professionals, as well as throughout their training as residents. The objective of this study is to examine the relationship between empathy, burnout and attitudes towards patients with mental disorders among mental health nurse residents in Spain. Methods: A cross-sectional descriptive design was employed with a sample of 214 resident nurses engaged in specialty training in mental health teaching units in Spain. The sample was selected purposely. The Jefferson Empathy Scale, the Maslach Burnout Inventory and the Community Attitudes Towards Mental Illness Inventory were employed to quantify the study variables. Results: The study sample included 214 residents, composed of 46 males (21.5%) and 168 females (78.5%), with an overall median age of 27.00 years (IQR: 25.00–29.00). The internal reliability of the instruments was high (JSE α = 0.834, MBI α = 0.821, CAMI-CMH α = 0.851). Our findings indicate that empathy during residency is associated with an enhancement in positive attitudes towards patients with mental disorders, and a reduction in the associated stigma (JSE vs. CAMI-SR: ρ = −0.210, p < 0.01). However, empathy did not act as a protective factor against burnout in the study sample, showing a moderate positive correlation with emotional exhaustion (JSE vs. MBI-EE: ρ = 0.481, p < 0.01). Conclusions: Our findings suggest that although empathy does not necessarily act as a protective factor against burnout, it may favour more positive and less stigmatising attitudes towards people with mental disorders. Future research is needed to further investigate the complex interplay between emotional competencies and work-related stress in this context.

Previous research suggests that certain personality traits, such as extraversion and openness, may be associated with sexual risk behaviors (SRB). Exploring psychological and social factors is critical to guide effective sexual health promotion. Background/Objectives: To examine the associations between sociodemographic characteristics, personality traits, sexual attitudes, and risky sexual behaviors among health science students. Methods: A cross-sectional study was conducted with 730 health science students (median age: 21 years, IQR: 20–22 years) using validated questionnaires on personality (BPQ), sexual attitudes (BSAS), and sociodemographic factors. Non-parametric tests and logistic regressions were performed. Results: The results highlight significant differences in sexual attitudes based on sociodemographic characteristics, such as sexual orientation, type of relationship and cohabitation. High levels of pornography consumption are associated with drug use and greater permissiveness. A relationship was established between condom use and openness and intellect. Drug use scored high on extraversion and permissiveness. In relation to the use of dating apps, a positive relationship was found with permissiveness and substance use. Conclusions: The findings reveal a relationship between personality, sociodemographic characteristics, and risky behaviors, underscoring the need for tailored strategies in sexual health education for young adults.