Background and Aims: Out-of-hospital cardiac arrest is one of the leading causes of death in India. Only 1.3% of these arrests receive bystander cardiopulmonary resuscitation (CPR). Bystander CPR ...increases a victim's chances of survival; training school children in Hands-Only CPR (HOCPR) is a proven method of increasing bystander CPR rates. Heart Rescue India is an international project working to improve care for cardiovascular diseases, and as a part of it, a ten module Cardiovascular disease (CVD) educational programme, including HOCPR training, was conducted in ten schools in 2017-18. The objective of our study was to assess the effectiveness of HOCPR training for 8th-grade high school students. Methods: Four hundred fourteen of the 530 enroled students from ten schools of Bengaluru participated in the study. The participants attended a one-hour didactic session about the recognition of cardiac arrest and HOCPR in three simple steps. Subsequently, students received hands-on training for HOCPR. The sessions included pre- and post-assessment of knowledge and skills. The results were statistically analysed using paired t-test and the McNemar test. Results: The mean overall pre-assessment score for knowledge was 62.07 ± 28.38%, and the post-assessment score was 72.42 ± 26.58% (P < 0.001). In addition, there was a statistically significant improvement in the post-training scores for HOCPR in all three parameters, namely compressions per minute, depth and chest recoil. Conclusion: The study demonstrated a simple yet effective HOCPR programme for high school children.
In a mass casualty situation due to chemical, biological, radiological, or nuclear (CBRN) event, triage is absolutely required for categorizing the casualties in accordance with medical care ...priorities. Dealing with a CBRN event always starts at the local level. Even before the detection and analysis of agents can be undertaken, zoning, triage, decontamination, and treatment should be initiated promptly. While applying the triage system, the available medical resources and maximal utilization of medical assets should be taken into consideration by experienced triage officers who are most familiar with the natural course of the injury presented and have detailed information on medical assets. There are several triage systems that can be applied to CBRN casualties. With no one standardized system globally or nationally available, it is important for deploying a triage and decontamination system which is easy to follow and flexible to the available medical resources, casualty number, and severity of injury.
The objective of this study was to investigate the effect of varying resolutions of cone-beam computed tomography images on the accuracy of linear measurements of edentulous areas in human cadaver ...heads. Intact cadaver heads were used to simulate a clinical situation.
Fiduciary markers were placed in the edentulous areas of 4 intact embalmed cadaver heads. The heads were scanned with two different CBCT units using a large field of view (13 cm×16 cm) and small field of view (5 cm×8 cm) at varying voxel sizes (0.3 mm, 0.2 mm, and 0.16 mm). The ground truth was established with digital caliper measurements. The imaging measurements were then compared with caliper measurements to determine accuracy.
The Wilcoxon signed rank test revealed no statistically significant difference between the medians of the physical measurements obtained with calipers and the medians of the CBCT measurements. A comparison of accuracy among the different imaging protocols revealed no significant differences as determined by the Friedman test. The intraclass correlation coefficient was 0.961, indicating excellent reproducibility. Inter-observer variability was determined graphically with a Bland-Altman plot and by calculating the intraclass correlation coefficient. The Bland-Altman plot indicated very good reproducibility for smaller measurements but larger discrepancies with larger measurements.
The CBCT-based linear measurements in the edentulous sites using different voxel sizes and FOVs are accurate compared with the direct caliper measurements of these sites. Higher resolution CBCT images with smaller voxel size did not result in greater accuracy of the linear measurements.
The use of electronic tools in teaching is growing rapidly in all fields, and there are many options to choose from. We present one such platform, Learning Catalytics™ (LC) (Pearson, New York, NY, ...USA), which we utilized in our oral and maxillofacial radiology course for second-year dental students.
The aim of our study was to assess the correlation between students' performance on course exams and self-assessment LC quizzes. The performance of 354 predoctoral dental students from 2 consecutive classes on the course exams and LC quizzes was assessed to identify correlations using the Spearman rank correlation test. The first class was given in-class LC quizzes that were graded for accuracy. The second class was given out-of-class quizzes that were treated as online self-assessment exercises. The grading in the self-assessment exercises was for participation only and not accuracy. All quizzes were scheduled 1-2 weeks before the course examinations.
A positive but weak correlation was found between the overall quiz scores and exam scores when the two classes were combined (P<0.0001). A positive but weak correlation was likewise found between students' performance on exams and on in-class LC quizzes (class of 2016) (P<0.0001) as well as on exams and online LC quizzes (class of 2017) (P<0.0001).
It is not just the introduction of technological tools that impacts learning, but also their use in enabling an interactive learning environment. The LC platform provides an excellent technological tool for enhancing learning by improving bidirectional communication in a learning environment.
Objective: Poisoning is a growing health-care burden in developing countries like India. Predicting the nature of the intention behind poisoning and type of poisoning agent involved will help in ...facilitating appropriate treatment measures, hence, improving the patient’s quality of life.Methods: The prospective, observational study was conducted in a tertiary care multispecialty hospital for 6 months from November 2016 to April 2017 and involved a total of 133 patients. Treatment and outcomes of the patients were collected, documented in a data collection form. Chi-square test and logistic regression analysis were applied.Results: The mean age of the study participants was 27.76±15.5 with predominance seen in age groups of <30 years (59.3%), females (52.6%), and married (49.6%). Intentional poisoning (69.1%) through oral ingestion (81.2%) of medications (51.6%) in solid forms (60.2%) was predominant. Patients presenting with systemic manifestations (70.4%) arrived in a time duration >1 h (66.2%), received first aid (62.4%), and supportive care (52.7%). Higher ingestion of physical forms was significantly observed in both single (OR: 4.5) and married (OR: 3). The outcomes were correlated with poison severity score and patients with mild symptoms recovered (60.9%).Conclusion: The use of medicines for intentional poisoning continues to be rampant in younger age groups and married individuals. Educational programs with more accentuation on the data regarding toxic substances along with preventive measures are to be implemented to make mindfulness among the overall population.
Introduction Deterioration of clinical condition of in-hospital patients further leads to intensive care unit (ICU) transfer or death which can be reduced by the use of prediction tools. The early ...warning scoring (EWS) system is a prediction tool used in monitoring medical patients in hospitals, hospital staying length, and inpatient mortality. The present study evaluated four different EWS systems for the prediction of patient survival. Method The present prospective observational study has analyzed 217 patients visiting the emergency department from November 2016 to November 2018, followed by demographic and clinical data collection. Modified Early Warning Score (MEWS), Triage Early Warning Score (TEWS), Leed's Early Warning Score (LEWS), and patient-at-risk scores (PARS) were assigned based upon body temperature, consciousness level, heart rate, blood pressure, respiratory rate, mobility, etc. Data was analyzed with the help of R 4.0.4 (R Foundation, Vienna, Austria) and Microsoft Excel (Microsoft, Redmond, Washington). Results Out of these 217 patients, 205 got shifted to a ward, and 12 died, amongst which the majority belonged to the 31-40 age group. Among patients admitted to ICU had a MEWS greater than 3, TEWS within the range 0 to 2 and 3 to 5, LEWS greater than 7, and PARS greater than 5 on the initial days of admission. The patients who died and those who were shifted to the ward showed significant differences in EWS. A significant association was observed between all the EWS and patient outcomes (p<0.001). Conclusion MEWS, TEWS, LEWS, and PARS were effective in the prediction of inpatient mortality as well as admission to the ICU. With the increase in the EWS, there was an increase in the duration of ICU stay and a decrease in chances of survival.
Emergency Medicine (EM) is a fast upcoming medical speciality wherein patients presenting with emergent life-saving medical and surgical problems are managed. Emergency physicians are first-line ...providers of emergency care. They diagnose important clinical conditions even before completing patient assessment, order investigations, interventions, resuscitation and treatment for life-threatening acute conditions. There are several interesting sub-specialisations of EM like trauma care, disaster medicine, toxicology, ultrasonography, critical care medicine, hyperbaric medicine, etc. In some countries, the speciality of EM is a popular choice among medical students; whereas in some other countries, the speciality is now evolving. In India, the speciality is growing fast; Nonetheless, the National Medical Commission has made the existence of the department of EM compulsory in all medical colleges in India from the session of 2022-23. Anaesthesiologists suit the speciality of EM because they have quick decision making skills and swift reflexes as well as diverse knowledge and skills in the fields of critical care, resuscitation and pain management. This article written by anaesthesiologists working in the field of EM, attempts to guide the postgraduate students wanting to take up a career in EM.
In India, the mortality due to polytrauma after road traffic injuries is high and there is a need to train medical and paramedical personnel. The AIIMS Trauma Assessment and Management (ATAM) course ...was developed at the Apex Trauma Centre of All India Institute of Medical Sciences, New Delhi to sensitize medical personnel with initial assessment and management of polytrauma victims. The aim of this study was to evaluate the impact on knowledge and skills and also evaluate the feedback and the perception of the participants of the ATAM course.
The course was conducted for doctors, nurses and other paramedical/allied professionals in five tertiary level centres associated to medical colleges from geographically diverse locations (Anand, Bengaluru, Delhi, Lucknow and Thrissur). Cognitive knowledge was assessed using pre-training and post-training multiple choice question (MCQ) tests. The participants also self-rated their level of knowledge, skill, confidence and capability (Numerical rating scale of 1–10). Post-training feedback was obtained from the participants using a five-point Likert scale response.
26 ATAM courses were conducted by 68 course instructors and attended by 780 participants. These participants include 40.4% doctors, 44.2% nurses, 4.7% paramedical technicians, 4.2% medical students and 6.4% paramedical and allied health professionals. There was significant improvement (p < 0.0001) in the cognitive knowledge, skill, confidence and capability of the participants. 85%–86% of the participants strongly agreed or agreed that the course content was effective and 85% of participants perceived that the course was excellent or very good.
The ATAM course had a positive impact on the knowledge, skills, confidence and capability of health caregivers attending the course. The ATAM course is an effective, practical and favourable option that is tailored to the polytrauma training needs of India. We recommend widespread dissemination of this course.
The application of Artificial Intelligence in dental healthcare has a very promising role due to the abundance of imagery and non-imagery-based clinical data. Expert analysis of dental radiographs ...can provide crucial information for clinical diagnosis and treatment. In recent years, Convolutional Neural Networks have achieved the highest accuracy in various benchmarks, including analyzing dental X-ray images to improve clinical care quality. The Tufts Dental Database, a new X-ray panoramic radiography image dataset, has been presented in this paper. This dataset consists of 1000 panoramic dental radiography images with expert labeling of abnormalities and teeth. The classification of radiography images was performed based on five different levels: anatomical location, peripheral characteristics, radiodensity, effects on the surrounding structure, and the abnormality category. This first-of-its-kind multimodal dataset also includes the radiologist's expertise captured in the form of eye-tracking and think-aloud protocol. The contributions of this work are 1) publicly available dataset that can help researchers to incorporate human expertise into AI and achieve more robust and accurate abnormality detection; 2) a benchmark performance analysis for various state-of-the-art systems for dental radiograph image enhancement and image segmentation using deep learning; 3) an in-depth review of various panoramic dental image datasets, along with segmentation and detection systems. The release of this dataset aims to propel the development of AI-powered automated abnormality detection and classification in dental panoramic radiographs, enhance tooth segmentation algorithms, and the ability to distill the radiologist's expertise into AI.
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