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Background: Now a days the whole World is submerged with digital electronics devices round the clock for all utilities. Even the doctor community also is not spared by these digital gadgets. Almost every doctor in India is permanently having and operating a smart phone and laptops or desktops plus vide computer applications.Methods: This cross-sectional study was conducted among 45 doctors across 7 departments of Government Medical College, Vellore. Mean, median, mode, standard deviation was used for quantitative data and Pearson chi square test and logistic regression was used for qualitative data using trial version of SPSS 22.Results: The mean score was 11.2±2.8 with mean scoring percentile of 38.8±6.5. There was Pearsons Chi square significance for Variables like exposure to external resources and, Books related to cyber security, age less than 34 years and average spending time with electronic devices >2.5 hours per day, designation MD versus MBBS, gender difference.Conclusions: On running logistic regression the multivariate analysis for study variables with statistical significance was seen for four variables- exposure to external resources, and books related to cyber security, age <34 years, average spending time with electronic devices >2.5 hours per day. Designation and gender variables lost their significance on logistic regression analysis.
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Background: Many Studies and Research Articles in our medical field focuses on Verbal Communication component. The Non-Verbal Component has been neglected in many circumstances. But Medical science endorses that Non-Verbal component plays a major role in the communication process in all set ups whether it is in the classrooms, Examination Hall, Outpatient Room or Wards or Intensive Care Units. The objective of this study is to access the knowledge and Awareness of NVC Component among Doctors of Non-Clinical and Para Clinical Departments of GVMCH - Vellore, Tamil Nadu, India.Methods: This Cross-Sectional Study was conducted among 45 Doctors across 7 Departments of Government Medical College Vellore. Mean, Median, Mode and Standard Deviation were used for quantitative Data and Pearson Chi Square Test and Logistic regression was used for qualitative Data using Trial Version of SPSS 22.Results: The mean Score was 7.2±2.8 with Mean scoring percentile of 28.8 ±11.5. There was Pearson’s Chi Square significance for Variables like External Resources related to NVC, Books related to NVC, UG and PG pursued at, Exposure to Workshops or CME s related to NVC, and age Group < 35. But on running Logistic Regression we got statistical significance for variables like External resources related to NVC, UG studied at same state, Age Group >35 years.Conclusions: Variables like External resources, UG studied at same state, Age Group >35 years Showed Statistical significance in knowledge on Non-Verbal communication in this Study set up.
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In any study there remains a proportion of cases, about 25-40%, where cause of splenomegaly is not identified on usual evaluation, that is labelled as indeterminate group. The aim of this study was to evaluate various causes of splenomegaly. Thereafter the patients with splenomegaly of indeterminate origin were to be re-evaluated with detailed investigations (for the cause of splenomegaly). Causes of splenomegaly were looked into 100 adult patients with splenomegaly, admitted over a period of ten months in a teaching hospital in South India. Patients having ascites were excluded from the study. Malaria was the commonest cause of splenomegaly, observed in 22 patients. Other causes, in order of importance, were chronic myeloid leukaemia (n=11), non-cirrhotic portal fibrosis (n=9), enteric fever (n=9), cirrhosis of liver (n=8) and hyper-reactive malarial splenomegaly also called as tropical splenomegaly syndrome (n=7) and so on. Hyper-reactive malarial splenomegaly was the commonest cause (7 of 24 patients) of massive splenomegaly. Twenty-three patients had splenomegaly of indeterminate origin ie, cause could not be detected on first assessment. Detailed re-evaluation with repeat investigations including liver biopsy revealed the causes as follows: Hyper-reactive malarial splenomegaly -7 (30.4%), non-cirrhotic portal fibrosis - 4 (17.4%), cirrhosis of liver - 4 (17.4%) and iron deficiency anaemia - 5 (21.7%). In 3 patients (13.0%), no diagnosis could be arrived at despite best efforts. Obscure splenomegalies may be due to conditions like hyper-reactive malarial splenomegaly, non-cirrhotic portal fibrosis, iron deficiency anaemia, and even cirrhosis of liver, while malaria is still the most important cause of splenomegaly in India. Whereas the overall incidence of hyper-reactive malarial splenomegaly was only 7% in this study, it stood as the leading cause (29.2%), when analysed among patients with massive splenomegaly. Liver biopsy should be performed in all cases of obscure splenomegaly to arrive at the final diagnosis.