Current Issue : October-December Volume : 2025 Issue Number : 4 Articles : 5 Articles
As the US population ages, the number of prescriptions managed by patients and healthcare teams is increasing. Thus, discontinuing or reducing medications that are considered to pose more risks than benefits can be achieved through deprescribing. Despite increasing calls for a stronger focus on deprescribing in healthcare education, current discussions highlight the lack of training on this topic within healthcare curricula. This is a significant barrier to effectively implementing the deprescribing process. This study aimed to characterize healthcare professional students (HPSs)’s perspectives on deprescribing within an interprofessional healthcare team, particularly regarding the motivations and roles of these future practitioners. Methods: Focus groups were conducted with HPSs at the University of Tennessee Health Science Center. The data collection, guided by a conceptual model, took place over three months in 2022. Data analysis was performed using thematic analysis, during which themes were identified through inductive coding. Results: Participants (n = 36) represented various faculties, including medicine, pharmacy, health professions, nursing, and dentistry. Two themes emerged: (1) Healthcare Team Members’ Roles and Responsibilities (2) “Put Me in, Coach”: Patient Safety Motivates Deprescribing. Conclusion: Data from HPSs highlighted the importance of an interprofessional healthcare team approach to deprescribing. Based on these insights, educators and practitioners should focus on establishing strong interprofessional healthcare teams that privilege open communication. Teams should consider deprescribing as a patient safety concern, as this may galvanize the team and provide additional motivation for performing the necessary work of deprescribing....
Gender-based violence is a social problem that affects the health of women in all countries, cultures, ages and economic status; its complexity requires a transdisciplinary approach. However, this study will emphasize the care provided by nursing in emergency services. Objectives: To explore the experiences of nursing professionals in the emergency area in relation to the approach to gender-based violence considering care management skills. Methods: A qualitative study with semi-structure interviews was conducted; the saturation was reached with the participation of 20 nursing professionals from emergency rooms. The study employed qualitative content analysis and the software QCAmap for organization and extraction of analysis. Results: The category called “Specific Approaches to Risk and Vulnerability” was characterized by its comprehensiveness, evident in its association with experiences in screening, follow-up, measures to prevent re-victimization, and ensuring privacy. The most relevant subcategories, based on the redundancy, were empathy, which encompasses affective aspects; education on forms of abuse not recognized by the victim; and multidisciplinary and multisectoral action to address patients’ needs effectively. Conclusions: Nursing professionals valued both the psychological and physical aspects of patients, highlighting the importance of multidisciplinary coordination and the protection of integrity. Awareness and offering help are key interventions during the activation of protocols for addressing gender-based violence....
Patients represent the primary stakeholders in health systems, making it crucial to enhance their level of satisfaction. The relationship between physician and patient is crucial during treatment, especially for patients dealing with long-term issues. Generally, every illness has the potential to cause high levels of stress, leading to varying reactions from individuals, influenced by factors such as age, personality, relationships with caregivers, treatment environment, and specific disease characteristics. As the healthcare provider acquires a more profound insight into how the disease affects the patient’s quality of life, the relationship between the patient and the physician evolves. In this study, we analyzed information from hospital clinics that took part in the survey for the same timeframe, from July 2019 to December 2020. Correlated data were derived from two separate surveys. The initial survey, created by Spector, focused on gathering feedback from health professionals in hospitals, with 3278 responses collected. A second survey was designed to gather feedback from patients in hospitals, with 2851 responses collected. The survey revealed a total of 97 common observations among physicians and patients in the hospital clinics. According to the findings from the two-stage least squares (2SLS) regression analysis, an essential method for researchers addressing endogeneity challenges in structural equation modeling, an increase of 1 point in the job satisfaction of physicians is associated with a corresponding positive increase of 1.12 points in patient satisfaction. At the heart of effective healthcare is the relationship between physicians and patients. Positive attitudes from patients during medical appointments help improve health outcomes, especially for those with long-term illnesses. In order to encourage patients to take an active role, physicians need to focus on enhancing the physician-patient bond, humaneness, creating trust and stable communication, encouraging the sharing of information, and empowering patients to participate in decision-making....
Background/Objectives: Gender bias in healthcare remains a persistent challenge, partly due to gaps in gender-related knowledge among professionals. While existing instruments assess gender sensitivity and gender-role ideology, there is a lack of generalizable tools specifically designed to evaluate gender-related health knowledge. This study aimed to develop and validate the Gender Knowledge Scale in a sample of 591 nursing students from the University of the Basque Country (Spain). Methods: The 10-item multiple-choice instrument was created using the Nominal Group Technique with a multidisciplinary panel of experts. Results: Psychometric analyses supported a unidimensional structure with acceptable fit indices (CFI = 0.928, RMSEA = 0.025), and items displayed a diverse range of difficulty levels. Knowledge scores were moderately correlated with gender sensitivity but not with gender-role ideology, suggesting that knowledge may influence attitudes but is insufficient to challenge entrenched stereotypes. Knowledge differences emerged across academic years, though not by gender. Misconceptions, particularly regarding menstruation, cardiovascular risk, and pain, were prevalent. Conclusions: The Gender Knowledge Scale is a practical and psychometrically sound tool for assessing gender-related health knowledge among nursing students. While further validation is needed in other populations, the scale may support educational interventions aimed at reducing gender bias in clinical care....
Background: The integration of artificial intelligence (AI) into mental health care is reshaping psychological support systems, particularly for digitally literate populations such as nursing students. Given the high prevalence of anxiety and depression in this group, understanding their perceptions of AI-driven mental health support is critical for effective implementation. Objectives: to evaluate nursing students’ perceptions toward AI-driven mental health support and examine its relationship with anxiety, depression, and their attitudes to seeking professional psychological help. Methods: A cross-sectional survey was conducted among 176 undergraduate nursing students in northern Jordan. Results: Students reported moderately positive perceptions toward AI-driven mental health support (mean score: 36.70 ± 4.80). Multiple linear regression revealed that prior use of AI tools (β = 0.44, p < 0.0001), positive help-seeking attitudes (β = 0.41, p < 0.0001), and higher levels of psychological distress encompassing both anxiety (β = 0.29, p = 0.005) and depression (β = 0.24, p = 0.007) significantly predicted more positive perceptions. Daily AI usage was not a significant predictor (β = 0.15, p = 0.174). Logistic regression analysis further indicated that psychological distress, reflected by elevated anxiety (OR = 1.42, p = 0.002) and depression scores (OR = 1.32, p = 0.003), along with stronger help-seeking attitudes (OR = 1.35, p = 0.011), significantly increased the likelihood of using AI-based mental health support. Conclusions: AI-driven mental health tools hold promises as adjuncts to traditional counseling, particularly for nursing students experiencing psychological distress. Despite growing acceptance, concerns regarding data privacy, bias, and lack of human empathy remain. Ethical integration and blended care models are essential for effective mental health support....
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