A study to assess the effectiveness of information booklet on knowledge and knowledge of practice regarding role of nurse in corticosteroid therapy among staff nurses
Background and objectives Corticosteroid therapy are widely used therapy in every health setting to treat various disease conditions. The therapy has a lot of the adverse effects which can be prevented and monitored and also managed by the skill full nurse having competent knowledge and practice in the use of corticosteroid therapy. Many patients who receive corticosteroid therapy go home the same day or the other day, but nursing instruction is very necessary for improving the patient knowledge regarding the adverse effects of the therapy so to prevent the side effects of the therapy. Thus the nurses' knowledge and practice must be improved for the betterment of the care given to the patients. The objectives of this study were: 1. To assess the knowledge and practice score of subjects regarding the role of a nurse in corticosteroid therapy. 2. To administer information booklet 3. To determine the effectiveness of information booklet regarding the role of a nurse in corticosteroid therapy in terms of gain in knowledge and practice scores of subjects. 4. To find the association of pre-test scores of knowledge and practice of subjects with their selected socio-demographic variables. Method A quasi-experimental study with one group pre & post-test design was used to assess the effectiveness of Information Booklet on knowledge and practice regarding Role of Nurse in Corticosteroid Therapy. Simple random sampling technique (Probability) was used to collect data from 50subjects working at the selected health facility, Bengaluru. The data was collected and interpreted to assess the effectiveness of Information Booklet on knowledge and practice regarding Role of Nurse in Corticosteroid Therapy. Results The findings of the study with regard to pre-test knowledge assessment revealed that the mean percentage was 35.55% with a standard deviation of 7.64. In the pre-test knowledge level, 88% had inadequate knowledge. In the post-test, a significant increase in knowledge was found. However, in post-test, the mean percentage of knowledge was 86.55% with 6.46 standard deviation. In the post-test knowledge level, 94% had adequate knowledge. In pre-test knowledge of practice level, the mean percentage is 31.9% with a standard deviation of 4.56. There is a significant increase in practice level in post test with a mean percentage score of 80.7% with standard deviation 4.12 by the subjects. Interpretation and Conclusion The study proved that subjects had inadequate knowledge and knowledge of practice on Role of nurse in corticosteroid therapy. The finding of the study showed that the information booklet was highly effective in increasing knowledge and knowledge of practice on Role of nurse in corticosteroid therapy. In the post-test, a significant association was found with most of the variables of the subjects. The overall knowledge means a score of the pre-test was 35.55% with a standard deviation of 7.64 and an overall post-test score of knowledge was 86.55% with 6.46 standard deviation. The overall knowledge of practice means a score of the pre-test was 31.9% with standard deviation 4.56 and post test practice score was 80.7% with standard deviation 4.12. The ’t’ value of the knowledge is 16.32 %. It shows that there is a significant increase in knowledge after the administration of Information Booklet (IB). The enhancement in the subject’s knowledge is by 51 %. The statistical paired 't' test indicate that enhancement in the mean knowledge scores was found to be significant with “t” value 12.29 level for all aspects under study. The enhancement in the respondent’s practice is by 70.7%. The statistical paired 't' test indicate that enhancement in the mean knowledge scores was found to be significant with 14.21 level for all aspects under study.
Published by: Tariq Ahmad Dev
Author: Tariq Ahmad Dev
Paper ID: V5I2-2172
Paper Status: published
Published: May 1, 2019
Chitosan nanocarrier system for tumour targetting
The aim of this paper was to develop and characterize chitosan nanoparticle as a carrier for adriamycin delivery as chitosan nanoparticles are the potential delivery system for hydrophilic drugs due to its outstanding physicochemical and biological properties. Chitosan nanoparticles have gained more attention as drug delivery carriers because of their better stability, low toxicity, simple and mild preparation method, and providing versatile routes of administration. Chitosan nanoparticles containing the anticancer drug adriamycin was prepared by the ionic gelation technique and characterized by various techniques such as particle size analysis, FT-IR and Atomic Force Microscopy. Results showed that chitosan nanoparticles prepared are of uniform size with an average diameter of 90 nm and zeta potential 62.5mV with a high encapsulation efficiency of 91.9%. Adriamycin loading efficiencies were determined and release studies were performed in PBS at room temperature. The drug release rate of Adriamycin from the chitosan nanoparticles was approximately 60% showing the potential of chitosan nanoparticles as a sustained drug delivery system. Cytotoxicity tests showed that the Adriamycin-loaded chitosan had higher cell toxicity by delivering the drug to the tumour tissues than adriamycin alone.
Published by: Aarthye Pandian, K. Jeyasubramanian, M. Sureshkumar
Author: Aarthye Pandian
Paper ID: V5I2-2133
Paper Status: published
Published: May 1, 2019
Application for online booking of unreserved ticket for Indian Railways
The number of passengers traveling in Indian Railways is increasing very rapidly. Among those people, there are some set of persons who travel regularly in the General Compartment. IRCTC has created an online platform for booking tickets of Reserved Compartments. The customers who travel in General Compartment still face an issue because they are supposed to wait in Long Queues at Ticket Counters to purchase tickets. In this proposed system we aim to provide a solution where passengers traveling in the General Compartment have a facility to book their travel tickets online using an Android Application.
Published by: Singh Siddharthkumar Sanjaykumar, Sheikh Mannan Sohail, Ismail Badri, Mohammed Gadi, Deeksha Hegde B.
Author: Singh Siddharthkumar Sanjaykumar
Paper ID: V5I2-2159
Paper Status: published
Published: May 1, 2019
Make Search Easy
There is a tremendous increase in the number of files and their transaction within the mobiles across the world. One has to report and maintain all the work through documentation. It gets difficult for the peoples to maintain and search through these files. This paper presents an approach to design a file manager integrated with the power of advanced search enabling the user to go through multiple files within the android through filtering them. Make Search Easy is a simple application like a file manager but has a powerful search and filtering option. The main feature which makes this application stand out in many other applications is its advanced search option. The user can search for a required letter, word, line or a paragraph within a document without actually knowing the location of a document within a directory or entire phone memory. Making it easy for the user to attend the search within the multiple files at the same time and through the easy way.
Published by: Anirudh Polawar, S. V. Patil, Prajwal Kotalwar, Nikhil Ghodke, Prathamesh Gindodia
Author: Anirudh Polawar
Paper ID: V5I2-2157
Paper Status: published
Published: May 1, 2019
Virtual doctor
The healthcare environment is still ‘information rich’ But ‘knowledge poor’. There is a wealth of data available within the health care systems. However, there is a lack of effective analysis tools to discover hidden relationships in data. The aim of this work is to design a GUI based Interface to enter the patient symptoms and predict which disease the patient is having using various machine learning algorithms. The prediction is performed from mining the patient’s symptom data or data repository. This paper has analyzed prediction systems for disease using more number of input attributes. The system uses medical terms such as fever, pain, cholesterol-like attributes to predict the likelihood of a patient getting a particular disease. Until now, over 100 attributes are used for prediction. The data mining classification techniques, namely Decision Trees, Naive Bayes, and Random Forest are analyzed on disease database. The performance of these techniques is compared, based on accuracy.
Published by: Divyansh Tiwari, Arpit Kumar, Ayush Tripathi
Author: Divyansh Tiwari
Paper ID: V5I2-2105
Paper Status: published
Published: May 1, 2019
Virtual question answering
Question Answering (QA) system in information retrieval is a task of automatically answering a correct answer to the questions asked by the human in natural language using either a pre-structured database or a collection of natural language documents. It presents only the requested information instead of searching full documents like a search engine. As information in the day to day life is increasing, so to retrieve the exact fragment of information even for a simple query requires large and expensive resources. This is the paper which describes the different methodology and implementation details of question answering system for general language and also proposes the closed domain QA System for handling documents related to education acts sections to retrieve more precise answers using NLP techniques
Published by: Manda Swapna Reddy
Author: Manda Swapna Reddy
Paper ID: V5I2-1833
Paper Status: published
Published: May 1, 2019
