BACKGROUND

Graduating student nurses are crucial to healthcare delivery, yet concerns about their clinical performance persist. They often face challenges translating theoretical knowledge into practice, leading to a theory-practice gap. Clinical competence is essential for ensuring safe and effective nursing care.

This study assessed the clinical competence of graduating student nurses in HEIs within Baguio City. It specifically evaluated their proficiency in professional behavior, general performance, core nursing competency, and advanced nursing skills. Additionally, it examined whether significant differences in clinical competence existed based on sex, area of duty, and accreditation status.

A descriptive-quantitative non-experimental research design was employed. The study surveyed 285 graduating student nurses from six HEIs in Baguio City, selected through fishbowl sampling. Data was collected using the Clinical Competence Questionnaire (CCQ), a 47-item questionnaire with an I-CVI rating of 1.0 and a Cronbach’s Alpha of 0.94. Data analysis included descriptive statistics, Welch's T-test, One-way ANOVA, and Welch's ANOVA.

Students demonstrated high competence with the following means: 4.42 in nursing professional behaviors, 4.32 in general performance, 4.35 in core nursing skills, and 3.92 in advanced nursing skills. While the results were interpreted as high competence, specific advanced nursing skills require further enhancement. No significant differences (p-value < 0.05) in clinical competence were found concerning sex (0.38), duty area (0.92), or accreditation status (0.07).

Graduating student nurses show high competency upon entering level IV, emphasizing ongoing skill development for quality patient care. Both genders exhibit proficiency, indicating fair training and effective education regardless of duty area exposure and accreditation status.

INTRODUCTION

Ventricular tachycardia (VT) storm is a condition characterized by recurrent ventricular arrhythmias within a 24-hour period, requiring a device or pharmacologic intervention. Despite its clinical significance, data on VT storm prevalence and treatment outcomes in the Filipino population remain limited

We present a 69-year-old male with heart failure from non-ischemic cardiomyopathy and an implantable cardioverter-defibrillator (ICD), who experienced multiple VT episodes unresponsive to amiodarone, lidocaine and mechanical cardioversion. He was initially admitted for catheter ablation but later developed a left ventricular thrombus precluding the procedure. Mexiletine was introduced and successfully suppressed arrhythmia recurrence

This case emphasized the complexity of managing ES, especially in patients with contraindications to ablation. Mexiletine, a class IB antiarrhythmic agent structurally similar to lidocaine, has shown efficacy in refractory VT, especially when standard therapies are ineffective or are contraindicated. Limited data exists on its safety for such cases, particularly in patients with intracardiac thrombus.

Mexiletine may offer a viable treatment option for VT storm in patients ineligible for ablation due to left ventricular thrombus. While it was effective in this case, further studies are needed to validate its safety and long-term outcomes in similar high-risk populations.

BACKGROUND

Generative artificial intelligence (GenAI) is increasingly integrated into healthcare, including occupational therapy (OT), with potential applications in its service delivery and clinical decision-making. While GenAI offers promising educational and clinical support, its generative nature introduces risks related to contextual accuracy, transparency, and ethical use, particularly within supervised clinical training settings where professional judgment is still developing. Empirical research examining GenAI integration in OT clinical training remains limited, especially within the Philippine context.

This is a protocol for a study which aims to explore the perceptions of OT interns in Manila, Philippines, regarding GenAI integration in clinical training, including perceived benefits, challenges, and ethical considerations, guided by Rogers’ Diffusion of Innovations Theory

This qualitative study protocol describes an exploratory design that will be used to gather rich and contextualized insights from 24 to 32 OT interns enrolled in universities in Manila with established institutional AI-use policies. Data will be collected through semi-structured online focus group discussions (FGD). Thematic analysis will be used with assistance from atlas.ti. 

The study is expected to generate meaningful themes that describe the perceptions of OT interns regarding the integration of GenAI within supervised clinical training contexts. Results are expected to reflect how interns perceive the role of GenAI in supporting clinical decision-making, as well as its perceived challenges and ethical concerns related to institutional policies, data privacy, reliability, and variability in AI-generated outputs.

Effective discharge planning is crucial for ensuring safe transitions and sustained occupational participation as clients transition from professional care to their desired community settings. Despite its importance, current discharge practices in occupational therapy remain inconsistent, often relying on informal communication, variable team coordination, and unstructured decision-making. These gaps contribute to client–caregiver unpreparedness, fragmented services, and increased readmissions. This manuscript presents the Building Rehabilitation Into Discharge Goals and Engagement (BRIDGE) Framework, a client-centered, occupation-focused conceptual model designed to structure and support the discharge planning process in occupational therapy.

The BRIDGE framework was developed through an iterative process of literature review, theoretical grounding, and integration of clinical experience. It synthesizes principles from the Canadian Practice Process Framework, Person–Environment–Occupation frameworks, the Kawa Model, and Bioecological Systems Theory. The framework outlines six discharge planning steps, ranging from goal and timeline setting to follow-up and monitoring, supported by four foundational pillars: patient and family factors, occupational therapy factors, interdisciplinary team factors, and environmental or system influences. Together, these components provide a comprehensive guide for clinical reasoning, collaborative planning, caregiver preparation, and transitional support.

The framework clarifies the role of occupational therapy, enhances interprofessional coordination, and promotes consistent transition planning. Future work should include empirical testing, case-based application, and population-specific adaptations.

Introduction: Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) improve glycemic control, promote weight loss, reduce insulin requirements, and confer cardiometabolic benefits in type 2 diabetes mellitus (T2DM). This audit evaluated glycemic and metabolic outcomes of GLP-1 RAs in T2DM patients at a single-centre diabetes clinic. Methodology: This audit included T2DM patients who initiated GLP1 RAs between January 2022 and March 2025 at Hospital Sultan Abdul Halim. Primary outcomes were changes in hemoglobin A1c (HbA1c), body weight, and body mass index (BMI) at 3 and 12 months. Secondary outcomes included percentage weight loss, changes in systolic blood pressure (SBP), insulin total daily dose (TDD), low-density lipoprotein (LDL) cholesterol, gastrointestinal adverse effects, and treatment discontinuation. Results: Sixteen patients were included; median age was 58.5 years (interquartile range [IQR] 47.5–65), and 56.3% were female. Median diabetes duration was 15 years (IQR 11.5–20.3). Median HbA1c decreased from 9.7% (IQR 8.6–10.4) at baseline to 8.8% (IQR 7.7–9.1) at 3 months and 7.8% (IQR 7.0–8.5) at 12 months. Body weight decreased from 88.1 kg (IQR 79.5–122.1) at baseline to 85.0 kg (IQR 75.9–113.7) at 3 months and 82.0 kg (IQR 74.8–117.3) at 12 months. BMI decreased from 37.8 kg/m² (IQR 31.7–47.1) to 37.3 kg/m² (IQR 30.7–45.5) at 3 months and 36.0 kg/m² (IQR 30.1–45.6) at 12 months. At 12 months, weight loss was 5.8% (IQR 3.0–8.0), with 56.5% achieving >5% weight reduction. In all, 93.8% achieved >1% HbA1c reduction. Mean SBP decreased by 10 ± 20 mmHg, LDL cholesterol 0.29 mmol/L (IQR -0.77 to 0.07), and insulin TDD 8 units/day (IQR -13 to 10). No gastrointestinal adverse effects reported. Three patients (18.8%) discontinued treatment due to excessive weight loss, treatment plateau, and limited drug availability. Conclusion From our single-centre experience, the observed improvements in glycemic and metabolic outcomes support the benefits of GLP-1 RAs in managing T2DM.
Diabetes Mellitus, Type 2 ; Glucagon-Like Peptide-1 Receptor Agonists ; Clinical Audit

Introduction: Diabetic retinopathy (DRP) is the most common microvascular complication of diabetes, affecting approximately 30% of patients with type 2 diabetes and over half of those with type 1 diabetes. It remains a leading cause of preventable blindness among adults worldwide. Early stages are frequently asymptomatic, making regular diabetic eye screening essential to detect sight-threatening changes before irreversible vision loss occurs. In Malaysia, where diabetes prevalence has reached 15.6% among adults (NHMS 2023), the effective implementation of annual retinal screening is crucial. Malaysian National Clinical Practice Guidelines recommend an annual retinal screening among type 2 diabetes mellitus (T2DM) patients. This clinical audit evaluated adherence to DRP screening. Methodology: A retrospective clinical audit was conducted at Pusat Perubatan Angkatan Tentera (PPAT), Kem Sungai Besi, to evaluate compliance with national DR screening standards among adults with T2DM. Thirty eligible patient records were reviewed. Three key indicators were assessed: (1) documentation of visual acuity at diagnosis, (2) annual fundoscopy, and (3) referral for fundus photography within the preceding 12 months. Performance was benchmarked against the 80% standard. Data were analyzed descriptively. Results: The median age group was 55–59 years, with equal gender distribution. Screening adherence was substantially below target: visual acuity assessment at diagnosis, 23.3%; annual fundoscopy, 26.7%; and fundus imaging referral, 36.7%. All screening indicators were below the recommended standard. Conclusion This audit reveals a significant implementation gap between national guidelines and routine practice. Structured workflow integration and documentation reinforcement strategies need to be emphasized. Additional measures include strengthening patient education and reinforcing guideline-based practice through regular CME sessions. However, a re-audit has not yet been conducted at the time of clinical audit reporting. An ongoing evaluation will be essential to determine the effectiveness and sustainability of these interventions in reducing preventable diabetic vision loss at PPAT Sungai Besi.
Humans ; iabetes Mellitus, Type 2 ; Diabetic Retinopathy ; Clinical Audit

Introduction: Clonidine is frequently utilized as a stimulus of growth hormone secretion to diagnose growth hormone deficiency in children. This clinical audit evaluates the efficacy and safety profile of clonidine as a sensitive, first-line screening agent to exclude GHD in children. Methodology: A clinical audit was conducted on seven patients (4 females, 3 males) aged 7.1 to 12.3 years (median age 11.1) evaluated with clonidine stimulation test. The cohort included one prepubertal and six post-pubertal (highest tanner 2) children. Bone age was delayed at BA/CA ratio at 0.63–0.9 (median 0.8). Baseline IGF-1 levels ranged from 56 to 264 ng/mL. None of the children received sex steroid priming. A peak GH threshold of >10 ng/mL was utilized to exclude GHD. Safety profiles, specifically hemodynamic stability and level of consciousness, were actively monitored. Results: Clonidine effectively stimulated GH secretion and excluded GHD in six out of seven patients, yielding peak GH levels between 10.3 and 20.6 ng/mL. One patient with peak GH of 7.6 ng/mL with clonidine, and subsequent test with insulin tolerance test (ITT), confirmed GHD with a peak GH of 7.4 ng/mL. All participants (n = 7) experienced drowsiness. Hemodynamic adverse events were notable. Three patients experienced mild hypotension, and three patients developed clinically significant hypotension requiring normal saline fluid bolus. Conclusion Clonidine is a highly effective, sensitive first-line screening agent to exclude GHD, as it reliably stimulates GH peaks above diagnostic thresholds. However, close supervision is required due to drowsiness and the potential for severe hypotension requiring fluid resuscitation. Clinical judgment remains essential as secondary testing with another GH secretagogue is warranted when clinical suspicion persists.
Child ; Clonidine ; Clinical Audit ; Growth Hormone

BACKGROUND

The clinical learning environment (CLE) significantly influenced the nursing students' learning experience. While clinical learning is the heart of nursing education, certain non-academic factors might be influenced by CLE. Consequently, CLE may be affected during a health crisis like the COVID-19 pandemic.

To determine the relationship between nursing students’ CLE and their academic grit, self-esteem, and caring behaviors in the Central Philippines.

A descriptive cross-sectional study was conducted involving 462 nursing students enrolled during the COVID-19 pandemic. A purposive sampling technique was used to select the participants. Four self-report questionnaires were adopted to gather the data: a 42-item Clinical Learning Environment Inventory (CLEI) scale, short-form Grit (Grit-S) scale, Rosenberg’s Self-Esteem (RSE) scale, and Caring Behavior Inventory (CBI-24) scale. Spearman rho and rank-biserial correlation tools were used to analyze the data.

The results indicated that the clinical learning environment was positively associated with academic grit, selfesteem, and caring behavior. Some profiles of the participants, such as age, sex, year level, type of school, leadership experiences, clinical setting experience, and willingness to be a nurse, were significantly associated with the clinical learning environment, academic grit, self-esteem, and/or caring behavior.

Students’ CLE influences their academic grit, self-esteem, and caring behavior. That is, students who reported a more positive perception of CLE, the higher their academic grit, self-esteem, and caring behaviors. Furthermore, some students’ profile characteristics influence CLE, academic grit, self-esteem, and caring behavior. Enhancing CLE while promoting grit, self-esteem, and caring behaviors of nursing students affiliated with hospitals or any clinical learning settings and promoting alternative means of meeting CLE competencies when face-to-face interactions are restricted during a health crisis are recommended.

OBJECTIVES: Multiple myeloma (MM) is a hematologically malignant clonal plasma cell disease. This study aims to explore the association between immunophenotypes and prognosis in patients with MM, to determine whether the expression of CD45 and CD200 is related to the prognosis of newly diagnosed MM (NDMM) patients, and to evaluate the significance of the combined expression of CD45 and CD200 in NDMM. METHODS: A total of 123 NDMM patients admitted to Shengjing Hospital of China Medical University from July 2015 to August 2019 were enrolled. Five key immunophenotypic markers (including CD38, CD138, CD45, CD56, and CD200) were screened through flow cytometry and identified using random forest analysis and univariate Cox regression analysis. Patients were divided into 3 groups: Group A, CD45 and CD200 double-positive; Group B, CD45 or CD200 single-positive; Group C, CD45 and CD200 double-negative. Kaplan-Meier curves were used to analyze overall survival (OS) and progression-free survival (PFS) across groups. Multivariate Cox regression was performed to evaluate prognostic factors, and a nomogram was constructed based on these results. RESULTS: The OS and PFS of single-positive groups for CD38, CD138, CD45, CD56, and CD200 were all shorter than those of their respective single-negative groups (all P<0.05). Significant differences were observed in OS (P<0.001) and PFS (P=0.001) among Groups A, B, and C. Group A had shorter OS and PFS (all P=0.001) compared to the Group B+C (cases from Group B and Group C were combined). CD45 and CD200 double-positive was an independent prognostic factor for NDMM [hazard ratio (HR)=2.178, 95% confidence interval (CI) 1.048 to 4.529; P=0.037]. The nomogram and calibration curves constructed from multivariate Cox regression analysis demonstrated good concordance (concordance index=0.706; 95% CI 0.661 to 0.751). CONCLUSIONS NDMM patients with double-positive expression of CD45 and CD200 have significantly shorter OS and PFS. Compared with the use of either marker alone, the combined assessment of CD45 and CD200 may provide better prognostic stratification for MM patients.
Humans ; Multiple Myeloma/metabolism* ; Male ; Female ; Middle Aged ; Antigens, CD/metabolism* ; Prognosis ; Leukocyte Common Antigens/metabolism* ; Aged ; Adult ; Immunophenotyping ; Nomograms ; Biomarkers, Tumor ; Clinical Relevance

Traditional Chinese medicine (TCM) represents a paradigmatic approach to personalized medicine, developed through the systematic accumulation and refinement of clinical empirical data over more than 2000 years, and now encompasses large-scale electronic medical records (EMR) and experimental molecular data. Artificial intelligence (AI) has demonstrated its utility in medicine through the development of various expert systems (e.g., MYCIN) since the 1970s. With the emergence of deep learning and large language models (LLMs), AI's potential in medicine shows considerable promise. Consequently, the integration of AI and TCM from both clinical and scientific perspectives presents a fundamental and promising research direction. This survey provides an insightful overview of TCM AI research, summarizing related research tasks from three perspectives: systems-level biological mechanism elucidation, real-world clinical evidence inference, and personalized clinical decision support. The review highlights representative AI methodologies alongside their applications in both TCM scientific inquiry and clinical practice. To critically assess the current state of the field, this work identifies major challenges and opportunities that constrain the development of robust research capabilities-particularly in the mechanistic understanding of TCM syndromes and herbal formulations, novel drug discovery, and the delivery of high-quality, patient-centered clinical care. The findings underscore that future advancements in AI-driven TCM research will rely on the development of high-quality, large-scale data repositories; the construction of comprehensive and domain-specific knowledge graphs (KGs); deeper insights into the biological mechanisms underpinning clinical efficacy; rigorous causal inference frameworks; and intelligent, personalized decision support systems.
Medicine, Chinese Traditional/methods* ; Artificial Intelligence ; Humans ; Precision Medicine ; Decision Support Systems, Clinical