Search Results (5,729)

Background: Nurses’ clinical reasoning is increasingly being recognized as a core competence that enhances the quality and safety of care across diverse healthcare settings. Nurses with refined clinical reasoning skills contribute significantly to improved health outcomes and broader health gains. In emergency departments, this competence is essential to rapidly assessing complex problems, anticipating complications, and preventing the deterioration of patients’ clinical conditions. Such expertise enables nurses to discern the severity of clinical situations quickly and intervene effectively. Objectives: The aims of this study were to analyze the clinical reasoning process of nurses and develop a theory that explains this process in emergency care settings. Methodology: This qualitative study explored the following research question: “How do nurses enact the clinical reasoning process in emergency departments?” The Grounded Theory methodology was used, with a theoretical sample of 20 nurses. Data collection methods included in-depth interviews, participant observation, and field notes. Results: The theoretical analysis identified clinical reasoning as a substantive theory composed of two subprocesses: Diagnostic Nursing Assessment and Therapeutic Nursing Intervention. Nurses’ clinical reasoning determines two levels of patient severity—Level I, life-threatening situations (immediate risk), and Level II, non-life-threatening situations (expressed problems)—according to which nursing interventions are adjusted. Conclusions: The Nursing Clinical Reasoning Model is a dynamic and continuous process that involves both Diagnostic Nursing Assessment and Nursing Therapeutic Intervention. It is deeply rooted in the nurse–patient–family relationship and is shaped by the specific care context, which influences nurses’ assessments and interventions and patients’ responses and behaviors. Full article

This study investigates how digital transformation in healthcare shapes sustainable customer value by analyzing the role of digital quality and its influence on satisfaction and loyalty within an AI-based diabetes prognostic service. Drawing on system, information, and service quality as core dimensions of digital quality, the study examines their direct effects on satisfaction and their contribution to loyalty formation relative to traditional service factors. Using survey data collected from over 1000 users of a digital healthcare platform equipped with an AI-driven diabetes prognostic algorithm, 800 valid responses were analyzed through PLS-SEM in SmartPLS 4.0. The results show that both traditional service attributes and digital quality significantly enhance customer satisfaction, which in turn promotes loyalty. However, digital quality does not strengthen the satisfaction–loyalty linkage, indicating that its value lies in establishing baseline trust and usability rather than amplifying loyalty outcomes. Environmental uncertainty—captured as technological and market uncertainty—also positively affects loyalty. This study contributes to digital healthcare research by providing empirical evidence from an AI-based long-term prognostic service and clarifying that digital quality operates as a foundational hygiene factor essential for sustainable customer value, rather than as a competitive differentiator. Full article

Background: Considering the significant impact on quality of life and the chronic nature of temporomandibular dysfunction (TMD), seeking healthcare is also part of the reality of individuals with this disorder. However, cultural differences and similarities in the experiences of individuals with TMD have not yet been investigated. This study aimed to describe and compare the experiences, beliefs, and sociocultural factors of Brazilian and Spanish individuals with TMD, focusing on their perceptions of the disorder, diagnostic pathways, information-seeking behaviors, and treatment expectations. Methods: A descriptive qualitative study was conducted. A purposive sample of 50 participants (25 Brazilian, 25 Spanish), aged 18–50 and diagnosed with TMD according to DC/TMD criteria, was recruited. Data were obtained through semi-structured interviews and analyzed using thematic analysis. Results: Six themes emerged, revealing both similarities and differences between the groups. Brazilian participants reported uncertainty about which professional to consult and difficulty accessing specialized care. In contrast, Spanish participants frequently sought physical therapists as their first option and identified them as primary sources of information. Beliefs about TMD etiology varied across samples. Treatment expectations also differed. Brazilians emphasized the difficulty of obtaining effective care, while Spanish participants perceived physiotherapy as being limited to muscular disorders. Perceptions of occlusal splint effectiveness showed variation between the groups. Conclusions: These findings underscore the necessity of culturally sensitive approaches to patient care that address not only clinical aspects, but also the sociocultural context that influences health behaviors. Full article

Toe-in (inward) and toe-out (outward) foot alignments significantly affect gait, posture, and joint stress, causing issues like abnormal gait, joint strain, and foot conditions such as plantar fasciitis and high arches. Addressing these alignments is crucial for improving mobility and comfort. This study introduces IoTToe, a wearable IoT device designed to detect and monitor gait patterns by using six ADXL345 sensors positioned on the foot, allowing healthcare providers to remotely monitor alignment via a webpage, reducing the need for physical tests. Tested on 45 participants aged 20–25 years with diverse BMIs, IoTToe proved suitable for both children and adults, supporting therapy and diagnostics. Statistical tests, including ICC, DFA, and ANOVA, confirmed the device’s effectiveness in detecting gait and postural control differences between legs. Gait variability results indicated that left leg showed more adaptability (DFA close to 0.5), compared to the right leg which was found more consistent (DFA close to 1). Postural control showed stable and agile standing with values between 0.5 and 1. Sensor combinations revealed that removing sensor B (on the gastrocnemius muscle) did not affect data quality. Moreover, taller individuals displayed smaller ankle angle changes, highlighting challenges in balance and upper body stability. IoTToe offers accurate data collection, reliability, portability, and significant potential for gait monitoring and injury prevention. Future studies would expand participation, especially among women and those with alignment issues, to enhance the system’s applicability for foot health management, safety and rehabilitation, further supporting telemetric applications in healthcare. Full article

Purpose: This study examined the relationships among fear of cancer recurrence (FCR), unmet healthcare needs, and quality of life (QOL) among breast cancer survivors post-treatment, particularly within the Thai cultural and healthcare context, where limited research has been conducted. Methods: A cross-sectional descriptive correlational design with purposive sampling was used. A total of 122 breast cancer survivors, 1–5 years prior, were recruited from the Breast Clinic and Chemotherapy Unit at the National Cancer Institute. Instruments included a demographic questionnaire, the FCR Inventory Short Form, the Cancer Survivors’ Unmet Needs measure, and the EORTC QOL-C30 with the breast cancer module (QLQ-BR23). Cronbach’s α ranged from 0.82 to 0.92. Data were analyzed using descriptive statistics, Spearman’s rank correlation, and Pearson’s correlation coefficient. Results: Participants reported moderate levels of FCR (M = 13.39, SD = 4.50), low unmet healthcare needs (M = 25.63, SD = 14.82), and moderate overall QOL (M = 54.82, SD = 0.22). FCR was negatively correlated with overall QOL (r = −0.248, p <0.01) and functional QOL (r = −0.242, p < 0.01). Unmet healthcare needs were also negatively correlated with overall QOL (r = −0.261, p < 0.01). Multiple linear regression analysis revealed that both FCR and unmet healthcare needs had a significantly negative relationship with overall QOL (p < 0.05). Conclusions: FCR and unmet healthcare needs independently impair QOL among breast cancer survivors. Early, culturally appropriate survivorship care in Asian contexts is essential to address these needs and improve QOL. Full article

Background: Large language models (LLMs) are increasingly integrated into clinical documentation, decision support, and patient-facing applications across healthcare, including plastic and reconstructive surgery. Yet, their evaluation remains bottlenecked by costly, time-consuming human review. This has given rise to LLM-as-a-judge, in which LLMs are used to evaluate the outputs of other AI systems. Methods: This review examines LLM-as-a-judge in healthcare with particular attention to judging architectures, validation strategies, and emerging applications. A narrative review of the literature was conducted, synthesizing LLM judge methodologies as well as judging paradigms, including those applied to clinical documentation, medical question-answering systems, and clinical conversation assessment. Results: Across tasks, LLM judges align most closely with clinicians on objective criteria (e.g., factuality, grammaticality, internal consistency), benefit from structured evaluation and chain-of-thought prompting, and can approach or exceed inter-clinician agreement, but remain limited for subjective or affective judgments and by dataset quality and task specificity. Conclusions: The literature indicates that LLM judges can enable efficient, standardized evaluation in controlled settings; however, their appropriate role remains supportive rather than substitutive, and their performance may not generalize to complex plastic surgery environments. Their safe use depends on rigorous human oversight and explicit governance structures. Full article

Background and Objectives: Chronic low back pain (CLBP) is a prevalent condition that impairs quality of life, functionality, and work productivity. While most acute episodes of back pain resolve, 4–25% become chronic due to factors such as high pain intensity, psychological distress, and maladaptive behaviors. Nonspecific CLBP is best understood through the biopsychosocial model, encompassing biological, psychological, and social influences, including kinesiophobia. Management relies on physical activity, pain education, and psychological interventions, with therapist knowledge and attitudes affecting outcomes. This study aimed to assess the prevalence of CLBP among healthcare workers, examine their knowledge of pain neurophysiology, evaluate kinesiophobia, and explore how personal experience with CLBP influences their beliefs, attitudes, and interactions with patients. Materials and Methods: A cross-sectional observational study was conducted from January to May 2025 among healthcare professionals. A total of 50 participants completed an online questionnaire, of which 42 were valid and included in the analysis. The questionnaire collected demographic and professional data, determined the presence of CLBP, and included three standardized instruments: the Revised Neurophysiology of Pain Questionnaire (rNPQ) to assess knowledge of pain mechanisms, the Health Care Providers’ Pain and Impairment Relationship Scale (HC-PAIRS) to evaluate beliefs about pain and disability, and the Tampa Scale of Kinesiophobia (TSK-11) to measure fear of movement. Data were analyzed using SPSS and Microsoft Excel. Results: Among the 42 participants, 11 demonstrated low, 28 moderate, and 3 high knowledge of pain neurophysiology (rNPQ), with a mean score of 5.66. On the HC-PAIRS, the majority (30 participants) scored above 60, indicating beliefs that pain leads to disability, while 12 scored below 60, reflecting a biopsychosocial perspective; gender did not significantly affect HC-PAIRS scores (p = 0.213). As for kinesiophobia (TSK-11), 24 participants had low, 17 moderate, and 1 clinically significant fear of movement. Correlation analysis revealed that younger participants had higher rNPQ scores (r = −0.358, p = 0.020) and lower TSK-11 scores (r = −0.389, p = 0.011). TSK-11 scores increased with age (r = 0.432, p = 0.004), while HC-PAIRS scores showed no significant correlations. Conclusions: Healthcare professionals, particularly physiotherapists, show gaps in knowledge of pain neurophysiology and a tendency toward biomedical beliefs regarding chronic low back pain. This cross-sectional study indicates that a greater understanding of pain mechanisms is associated with lower kinesiophobia, emphasizing the importance of education. Integrating the biopsychosocial model into undergraduate and continuing professional training, through interdisciplinary and practical modules, may improve knowledge, reduce maladaptive fear-avoidance behaviors, and enhance patient care. Future studies should include larger, more diverse samples and assess the long-term impact of educational interventions on clinical practice. Full article

Background/Objectives: Nurses are susceptible to compassion fatigue due to the nature of their professional responsibilities. Factors contributing to this vulnerability include daily patient interactions and organizational elements within their work environment, as well as work-related stress and sociodemographic characteristics, including age, marital status, years of professional experience, and, notably, gender. This research investigates the relationship between compassion fatigue and the levels of anxiety and depression, as well as the professional quality of life among nurses providing care to dementia patients in Greece. Methods: A cross-sectional survey was carried out with 115 nurses working in dementia care centers in Greece. The Hospital Anxiety and Depression Scale (HADS), the Professional Quality of Life Scale (ProQOL-5), and the participants’ personal, demographic, and professional information were all included in an electronic questionnaire. Multiple regression analysis was used. Results: A total of 42.6% of nurses rated their working environment as favorable. Additionally, 23.5% of the sample exhibited high levels of compassion satisfaction, whereas 46.1% demonstrated low levels of burnout. Female gender (p = 0.022) and a higher family income (p = 0.046) was positively associated with compassion satisfaction. Regression analysis indicated that elevated symptoms of anxiety and depression were found to correlate with decreased compassion satisfaction, increased burnout, and heightened secondary post-traumatic stress. Conclusions: Engaging in the care of patients with dementia, particularly throughout the pandemic period, has underscored a pronounced susceptibility to compassion fatigue, physical fatigue, pain, psychological stress, and a reduced quality of life. These results highlight the importance for nursing management to adopt specific organizational measures, including proper staffing levels, balancing workloads, and conducting routine mental health assessments. Full article

Bacteriophage (phage) therapy, including monophage preparations, phage cocktails, engineered phages, and phage-derived enzymes, has re-emerged as a potential option for difficult-to-treat and biofilm-associated infections in the context of rising antimicrobial resistance. Recent scientific and regulatory developments, such as the 2024 World Health Organization Bacterial Priority Pathogens List and the introduction of the European Pharmacopoeia general chapter 5.31 on phage therapy medicinal products, highlight the growing interest in establishing quality, safety, and governance standards for clinical implementation. This narrative review provides an overview of current clinical applications of phage therapy, drawing on published case reports, case series, early-phase clinical studies, and regulatory experiences across different healthcare settings. Clinical use has been reported in respiratory, urinary tract, musculoskeletal, cardiovascular, and device-associated infections, particularly in cases involving multidrug-resistant pathogens, often in combination with antibiotics. At the same time, the biological characteristics of phages, such as strain specificity, adaptive composition of phage cocktails, and the need for individualized formulations, pose significant regulatory and translational challenges. Access to phage therapy currently relies on heterogeneous regulatory mechanisms, including compassionate use programmes, magistral preparations, named-patient pathways, and other national frameworks. Overall, phage therapy represents a promising strategy for selected infections, but its broader clinical adoption will depend on harmonized regulatory approaches, robust quality standards, and the generation of stronger clinical evidence to support safe and scalable use. Full article

Chronic obstructive pulmonary disease (COPD) is a major health burden worldwide and in Taiwan, ranking as the third leading cause of death globally, and its prevalence in Taiwan continues to rise. Readmission within 14 days is a key indicator of disease instability and care efficiency, driven jointly by patient-level physiological vulnerability (such as reduced lung function and multiple comorbidities) and healthcare system-level deficiencies in transitional care. To mitigate the growing burden and improve quality of care, it is urgently necessary to develop an AI-based prediction model for 14-day readmission. Such a model could enable early identification of high-risk patients and trigger multidisciplinary interventions, such as pulmonary rehabilitation and remote monitoring, to effectively reduce avoidable early readmissions. However, medical data are commonly characterized by severe class imbalance, which limits the ability of conventional machine learning methods to identify minority-class cases. In this study, we used real-world clinical data from multiple hospitals in Kaohsiung City to construct a prediction framework that integrates data generation and ensemble learning to forecast readmission risk among patients with chronic obstructive pulmonary disease (COPD). CTGAN and kernel density estimation (KDE) were employed to augment the minority class, and the impact of these two generation approaches on model performance was compared across different augmentation ratios. We adopted a stacking architecture composed of six base models as the core framework and conducted systematic comparisons against the baseline models XGBoost, AdaBoost, Random Forest, and LightGBM across multiple recall thresholds, different feature configurations, and alternative data generation strategies. Overall, the results show that, under high-recall targets, KDE combined with stacking achieves the most stable and superior overall performance relative to the baseline models. We further performed ablation experiments by sequentially removing each base model to evaluate and analyze its contribution. The results indicate that removing KNN yields the greatest negative impact on the stacking classifier, particularly under high-recall settings where the declines in precision and F1-score are most pronounced, suggesting that KNN is most sensitive to the distributional changes introduced by KDE-generated data. This configuration simultaneously improves precision, F1-score, and specificity, and is therefore adopted as the final recommended model setting in this study. Full article

Background: Workplace violence (WPV) is a pervasive occupational hazard in healthcare that undermines staff safety and quality of care. In Bulgaria, WPV remains widespread and underreported, despite recent legislative initiatives. This study assessed healthcare professionals’ perceptions of the effectiveness of WPV prevention strategies and examined how prior exposure shapes these perceptions. Methods: A nationwide cross-sectional online survey was conducted in December 2024 with 944 healthcare professionals from multiple sectors. Participants rated the perceived effectiveness of 11 prevention strategies, including environmental/security measures, organizational, and national-level interventions, on a three-point scale. Friedman ANOVA with Kendall’s W assessed overall strategy rankings, while Mann–Whitney U tests with rank-biserial correlations compared specific effectiveness ratings between subgroups defined by WPV exposure (experienced or witnessed vs. not exposed in the previous 12 months). Results: In the previous 12 months, 34.7% of respondents reported direct WPV, and 43.4% had either experienced or witnessed incidents. Friedman ANOVA indicated significant differences in perceived effectiveness across strategies (Kendall’s W = 0.13), with stronger differentiation among violence-exposed respondents (W = 0.37) than among non-exposed respondents (W = 0.09). National-level interventions and security/response measures were consistently ranked the highest. Mann–Whitney tests showed significantly higher endorsement of most strategies among violence-exposed professionals, with large effect sizes for security measures and enforcement of sanctions. Conclusions: Bulgarian healthcare professionals view WPV prevention as requiring a multicomponent approach that integrates robust national policy with organizational and environmental measures. Direct exposure to violence is associated with stronger support for security-focused and national interventions. These findings inform context-specific, evidence-based WPV prevention programs for Bulgarian healthcare facilities. Full article

Abdominal pain is the cardinal symptom of irritable bowel syndrome (IBS) and the primary determinant of disease burden and healthcare utilization. Despite its diagnostic centrality and high prevalence across all IBS subtypes, effective management remains a clinical challenge. This narrative review explores the pathophysiological mechanisms underlying IBS-related pain, emphasizing the role of visceral hypersensitivity, altered brain–gut communication, and luminal factors such as gas and distension. We examine current guideline recommendations, real-world treatment patterns, and evidence supporting both pharmacological and non-pharmacological interventions. Particular focus is placed on the fixed-dose combination of alverine citrate/simeticone, which targets both motor and sensory pathways. Mechanistic studies demonstrate its smooth muscle relaxant, antinociceptive, and anti-inflammatory actions. Clinical trials support its efficacy in reducing pain, improving quality of life, and lowering healthcare resource use. Despite these advances, several unmet needs remain, including subtype-specific treatment strategies, mechanistic biomarkers, and broader access to integrated care. The review concludes with a call for more personalized, mechanism-based approaches to pain management in IBS, with alverine citrate/simeticone offering a pragmatic option within this evolving therapeutic framework. Full article

Background: Teamwork and effective communication are widely recognized as essential pillars for the safety and quality of healthcare. However, in Portugal, no validated instrument had previously been available to assess healthcare professionals’ attitudes toward teamwork. This study aimed to translate, culturally adapt, and validate the TeamSTEPPS^® Teamwork Attitudes Questionnaire (T-TAQ) for the Portuguese context, resulting in the Portuguese version of the instrument. Methods: A methodological study with a quantitative approach was developed. The translation and cultural adaptation process followed internationally recognized guidelines. The sample consisted of 162 healthcare professionals (136 nurses and 26 physicians) from a hospital in Lisbon. Exploratory and confirmatory factor analysis techniques were used to assess construct validity. The internal consistency of the scale was analyzed using Cronbach’s alpha coefficient. Results: The Portuguese version comprises 30 items distributed across five dimensions: Effective Leadership Support, Team Functional Performance, Teamwork Coordination, Willingness to Engage in Teamwork, and Team Functioning Supervision. The scale demonstrated a total explained variance of 53.9% and an overall internal consistency coefficient (α) of 0.86, indicating good reliability. Confirmatory factor analysis supported the five-factor structure of the scale (χ²/df = 1.461; CFI = 0.900; GFI = 0.821; RMSEA = 0.054; MECVI = 4.731). Conclusions: The T-TAQ-PT proved to be a valid, reliable, and robust instrument for assessing healthcare professionals’ individual attitudes toward teamwork, contributing to the development of research and clinical practice in the Portuguese context. Full article

Mental health disorders, particularly anxiety and insomnia, are increasingly prevalent worldwide, prompting interest in herbal-based complementary therapies. This study surveyed 168 Hungarian healthcare professionals to evaluate their knowledge and recommendations regarding herbal sedatives and analyzed seven commonly suggested OTC products available in Hungary, using thin-layer chromatography (TLC) and UV–Vis spectrophotometry according to the European Pharmacopoeia. The survey revealed that 86.9% of respondents recommend herbal products for nervous system complaints, with Valeriana officinalis and Melissa officinalis being the preferred ingredients. Herbal teas and traditional herbal medicines were the most frequently suggested product categories. Laboratory analysis confirmed the presence of marker compounds in all tested products; however, significant variability in active ingredient concentrations was observed. One homeopathic product contained an unidentified alkaloid-like compound, raising safety concerns. Essential oil yields from tea mixtures also varied markedly, and some products did not meet pharmacopoeial standards for hypericin content. These findings highlight the popularity of phytotherapy among healthcare professionals and the need for stricter quality control of OTC herbal sedatives. Future research should include multi-batch analyses and clinical trials to establish robust evidence for efficacy and safety. Full article

The rapid digitalization of healthcare has led to the widespread availability of mobile health (mHealth) applications, including those aimed at mental health and well-being. The present study followed the PRISMA guidelines and systematically reviewed English and/or German mental health apps available in the Google Play Store to evaluate their functional quality and behavior-change potential. It utilized the Mobile App Rating Scale (MARS) to assess app quality, including engagement, functionality, esthetics, and information quality, and the App Behavior Change Scale (ABACUS) to evaluate the potential for behavior change by inclusion of behavior change techniques (BCTs). A total of 77 apps were reviewed, with findings indicating an average functional quality and moderate behavior-change potential, as the reviewed apps only utilized a limited amount of BCTs. Notably, only a small fraction of apps had been evaluated in randomized controlled trials (RCTs). Further analysis showed that MARS and ABACUS scores had limited predictive power regarding app popularity as measured by stars awarded by users and number of user ratings in the Google Play Store. The study highlights the need for more rigorous testing of mHealth apps and suggests that factors beyond those measured by MARS and ABACUS may influence app popularity. In addition to the scientific value, this review provides insights for both users interested in mental health support via apps and developers aiming to enhance the quality and impact of mental health applications. Full article