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BACKGROUND: Self-directed learning (SDL) is an essential aspect of adult education or andragogy, gaining significance in medical education with the introduction of competency-based medical education. The primary objective of this study is to assess the self-directed learning abilities of second-year medical undergraduates in Chennai, South India, and to identify potential challenges and gaps in their learning process. MATERIALS AND METHODS: A cross-sectional study was conducted among 82 second-year medical students attending self-directed learning sessions at a medical college in Chennai. Data were collected using the self-directed learning instrument (SDLI), a standardized questionnaire, administered through Google Forms. Participants' identities were maintained confidential. Data were analyzed using SPSS version 22.0. Descriptive data were presented as proportions and percentages. Normally distributed quantitative data were expressed as mean and standard deviation. Non-normal continuous data were expressed as median and interquartile range (IQR). RESULTS: The majority of the students (61%) demonstrated a high level of SDL ability, with a median score of 76. Students exhibited strong learning motivation (mean score 4.11) but struggled with planning and implementation (mean score 3.07). The maximum mean score was 4.11 for item 3 (constant improvement and excelling in learning), and the minimum mean score was 3.07 for item 11 (arranging and controlling learning time). The students showed high self-monitoring (mean score 3.76) and interpersonal communication skills (mean score 4.00). CONCLUSIONS: SDL emerges as a boon for medical undergraduates in this study. By providing adequate training to faculty members on SDL implementation and guidance to students on planning and time management, SDL can play a pivotal role in enhancing medical education quality and fostering life-long learning among future medical professionals.
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Introduction Cerebrovascular accidents or strokes are a major cause of mortality and morbidity in today's world. Post-stroke disabilities like paralysis, dementia, etc., can affect the quality of life of patients as well as their families. A combined increase in neutrophils and a decrease in lymphocytes during inflammation in stroke manifests as an elevated neutrophil-to-lymphocyte ratio (NLR), thereby indicating the severity of neural damage. Aim We aimed to determine if an elevated NLR observed on the day of hospital admission can predict a higher risk of in-hospital mortality in stroke patients. Confirmatory results could aid in developing risk stratification for management, ultimately improving clinical and functional outcomes. Materials and methods Sixty stroke patients were monitored throughout their hospital stay in this prospective cohort study. NLR was calculated at admission using routine complete blood counts. The data were analyzed using SPSS Software v23.0 (IBM Corp., Armonk, NY). An unpaired t-test was used to compare the means between the two groups. Categorical data were analyzed using the chi-square test. The receiver operating curve (ROC) was plotted and used to ascertain if a cut-off value of NLR could be obtained to predict in-hospital mortality in stroke patients. P values <0.05 were considered statistically significant. Results About 23.3% (n=14) of the patients died during their hospital stay, with no significant differences between the survivor and death cohorts in terms of comorbidities like diabetes and hypertension. The mean NLR calculated within 24 hours of hospital admission in patients who died (NLR=8.47 (standard deviation (SD)=4.67)) was significantly higher (p=0.009) than in those who survived (NLR=5.84 (SD=2.62)). Upon ROC analysis, patients with NLR >6.03 on the day of admission demonstrated a higher risk of in-hospital mortality (p=0.015 (95% CI: 0.577-0.855)). An area under the curve (AUC) of 0.72 with a sensitivity of 92.86% and a specificity of 54.35% was obtained. Conclusions Elevated NLR (cut-off >6.03) obtained within 24 hours of hospital admission is an indicator of a higher risk of in-hospital mortality in stroke patients. Hence, patients presenting with a high NLR at admission can be prioritized for personalized targeted treatment, potentially reducing mortality and post-stroke complications.
