Medical & Dental Student Research Day 2020
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MINISTRY of VIATER and ENVIRONMENT Krsoro) On
tl ti f n THE REPUILIC OF UGANDA MINISTRY OF VIATER AND ENVIRONMENT RtsPoNsE TO CONCERNS RAISED By HON. KABAGYENYT ROSE (Mp KrsoRo) oN INADEQUATE WATER SUppLy rN HTSORO DISTRICT By Hon. SAM CHEPTORIS MINISTER OF WATER AND ENVIRONMENT 17th July 2O18 Page | 1 OPENI NG REMARI(S BY THE MINISTER Rt. Hofl. Speaker Hon. Members of Parliameat, Colleagues, Ladies and Gentlemen I would like to thank and respond to the issue rarsed by my colleague and Distinguished Member of Parliament Hon. Kabagyenyi Rose on the tssue of rnadequate water supply rn Krsoro district. I would hke to inform Parliament and Public :.n general, that the dry spell rs quickly approaching m most parts of the country hence some areas wrll expenence challenges and intermittent water supply and climate change however, Government of Uganda and the Ministry in partrcular rs and has been implementing various water supply environment restoration and other related activities to facilitate water supply and climate chalge resilience in the country. Rt. Hon Speaker, ln response to the concern raised by Hon Rose Kabagrenyi, the Minrstry of Water and Environment and in Particular National Water and Sewerage Corporation rs aware of the sltuatton m Kisoro Distrrct like other parts of the country and has been putting in place measures to address the situation. 1.O SltuationAnalysis: Natlonal Water and Sewerage Corporatron took over management of Kisoro water supply and sewerage services from a prrvate operator rn July 2013 and later on the water supply scheme for Bunagana Boarder Town in 2015, whrch had some major operatronal challenges due to dried-up borehole source. -
Prevalence, Pattern and Perceptions of Cleft Lip and Cleft Palate Among
Kesande et al. BMC Oral Health 2014, 14:104 http://www.biomedcentral.com/1472-6831/14/104 RESEARCH ARTICLE Open Access Prevalence, pattern and perceptions of cleft lip and cleft palate among children born in two hospitals in Kisoro District, Uganda Teopista Kesande1†, Louis Mugambe Muwazi2†, Aisha Bataringaya2† and Charles Mugisha Rwenyonyi2*† Abstract Background: Cleft lip with or without cleft palate is one of the most common congenital anomalies that affect the oro-facial region. The aim of the study was to determine the period prevalence, pattern and perceptions of cleft lip and cleft palate in children born between 2005 and 2010 in two hospitals in Kisoro District, Uganda. Methods: The study involved a retrospective review of medical records of mothers who delivered live babies between January 2005 and December 2010 in Kisoro Hospital and St. Francis Hospital, Mutolere in Kisoro District. Key informant interviews of mothers (n = 20) of the children with cleft lip and/or clip palate and selected medical staff (n = 24) of the two hospitals were carried out. The data were analysed using descriptive statistics. Results: Over the 6 year period, 25,985 mothers delivered live babies in Kisoro Hospital (n = 13,199) and St. Francis Hospital, Mutolere (n = 12,786) with 20 babies having oro-facial clefts. The overall period prevalence of the clefts was 0.77/1,000 live births. Sixty percent (n = 12) of children had combined cleft lip and palate and the same proportion had clefts on the left side of the face. More boys were affected than girls: 13 versus 7. -
Title of Project
SHORTENING TIME A CLIENT WHO HAS COME FOR DRUG REFILLS (ARVS AND/OR COTRIMOXAZOLE) TAKES TO EXIT MUTOLERE ART CLINIC. BY: JEROME ROY MUGISHA AND PASCHAL NSEKUYE (ST.FRANCIS MUTOLERE HOSPITAL). SUPEVISOR: DR. ELIZEUS RUTEBEMBERWA MUSPH/CDC DISSEMINATION WORKSHOP Hotel Africana 14th August 2009. Introduction and background • General hospital + specialization; in Kisoro district • PNFP, belongs to Kabale diocese • HIV care (HE, OVC care, VCT) from 90’s; ART in 2005. • ART clinic Mondays +Thursdays (market days) in OPD • Many non HIV patients due to available transport • Turnover of 120 patients against 2 clinicians and 4 dispensers on each clinic day; 20-30 patients are for refills • Congestion leading to delay in getting refills for HIV(+) clients Back ground ct’d Flow of patients for refills Enter Reception Cashier Drugs in Clinician Exit pharmacy Problem identification Used systematic steps 1.Brainstorming—Listed 12 problems 2.Multivoting—Reduced the problems to 4 3.Theme selection matrix—problem with greatest impact on customer Theme selection matrix Theme Customers Impact on Need to Overall customer improve rating Low utilization of HIV + Clients 4 2 8 family planning by HIV + clients Clients’ delay in Clients on ARVs 5 4 20 exiting Mutolere and or Septrin ART clinic Low male Partners to HIV + 4 1 5 involvement in HIV/AIDS care females Few babies born Children born to 5 3 15 to HIV + mothers in PMTCT HIV + mothers program are followed up Average time for refills (from baseline study) AV. TIME FOR REFILLS 120 100 80 60 AV. TIME 40 Av. Av. time(Mins) spent 20 0 REC-CASH CASH-CLIN CLIN-PHARM TOTAL TIME Stations visited Problem statement • At Mutolere ART clinic that runs on Mondays and Thursdays, HIV (+) clients take on average 105 minutes just to have drug refills (ARVS and/or Cotrimoxazole). -
Accurate Segmentation of Brain MR Images
Accurate segmentation of brain MR images Master of Science Thesis in Biomedical Engineering ANTONIO REYES PORRAS PÉREZ Department of Signals and Systems Division of Biomedical Engineering CHALMERS UNIVERSITY OF TECHNOLOGY Göteborg, Sweden, 2010 Report No. EX028/2010 Abstract Full brain segmentation has been of significant interest throughout the years. Recently, many research groups worldwide have been looking into development of patient-specific electromagnetic models for dipole source location in EEG. To obtain this model, accurate segmentation of various tissues and sub-cortical structures is thus required. In this project, the performance of three of the most widely used software packages for brain segmentation has been analyzed: FSL, SPM and FreeSurfer. For the analysis, real images from a patient and a set of phantom images have been used in order to evaluate the performance r of each one of these tools. Keywords: dipole source location, brain, patient-specific model, image segmentation, FSL, SPM, FreeSurfer. Acknowledgements To my advisor, Antony, for his guidance through the project. To my partner, Koushyar, for all the days we have spent in the hospital helping each other. To the staff in Sahlgrenska hospital for their collaboration. To MedTech West for this opportunity to learn. Table of contents 1. Introduction ......................................................................................................................................... 1 2. Magnetic resonance imaging .............................................................................................................. -
Body Text.Pmd
DATA FOR THE BOSS: EVIDENCE OF NON-USE OF HEALTH MANAGEMENT INFORMATION SYSTEM 2(1) 3-12 UMU Press 2007 THEME ONE: MANAGEMENT OF HEALTH SERVICES DATA FOR THE BOSS: EVIDENCE OF NON-USE OF HEALTH MANAGEMENT INFORMATION SYSTEM (HMIS) DATA IN BUFUMBIRA EAST HEALTH SUB-DISTRICT, KISORO DISTRICT Nsekuye Paschal, Community Health Department, St. Francis Mutolere Hospital, Kisoro, Uganda Abstract A goal of the health management information system (HMIS) is to provide reliable, comprehensive information about the health system to health managers, to enable them take decisions that will improve the services provided to the consumers. Whereas HMIS quality concerns like the accuracy, completeness and timeliness of reports have been more commonly assessed and reported about in a number of studies, relatively less documentation is found on the actual utilisation of the information generated from HMIS reports. Yet, the HMIS is not an end in itself but just a tool to inform managers and enable them take informed and timely decisions. This study assessed the utilisation of HMIS data for decision making at the grassroots level in Bufumbira East Health Sub-District (HSD) of Kisoro District. It was found that HMIS data were not used for decision making at the point of collection and that the HMIS was dogged by many problems like few dedicated staff. The staff lacked sensitization on the HMIS and were not trained in completing the reports and data analysis. Lower level units submitted their data directly to the district bypassing the HSD. The HMIS was not planned for and lacked funding and stationery. HMIS functioning was not a subject for support supervision and there was only verbal feedback from the district level. -
Freesurfer Tutorial
FreeSurfer Tutorial FreeSurfer is brought to you by the Martinos Center for Biomedical Imaging supported by NCRR/P41RR14075, Massachusetts General Hospital, Boston, MA USA 2008-06-01 20:47 1 FreeSurfer Tutorial Table of Contents Section Page Overview and course outline 3 Inspection of Freesurfer output 5 Troubleshooting your output 22 Fixing a bad skull strip 26 Making edits to the white matter 34 Correcting pial surfaces 46 Using control points to fix intensity normalization 50 Talairach registration 55 recon-all: morphometry and reconstruction 69 recon-all: process flow table 97 QDEC Group analysis 100 Group analysis: average subject, design matrix, mri_glmfit 125 Group analysis: visualization and inspection 149 Integrating FreeSurfer and FSL's FEAT 159 Exercise overview 172 Tkmedit reference 176 Tksurfer reference 211 Glossary 227 References 229 Acknowledgments 238 2008-06-01 20:47 2 top FreeSurfer Slides 1. Introduction to Freesurfer - Bruce Fischl 2. Anatomical Analysis with Freesurfer - Doug Greve 3. Surface-based Group Analysis - Doug Greve 4. Applying FreeSurfer Tools to FSL fMRI Analysis - Doug Greve FreeSurfer Tutorial Overview The FreeSurfer tools deal with two main types of data: volumetric data volumes of voxels and surface data polygons that tile a surface. This tutorial should familiarize you with FreeSurfer’s volume and surface processing streams, the recommended workflow to execute these, and many of their component tools. The tutorial also describes some of FreeSurfer's tools for registering volumetric datasets, performing group analysis on morphology data, and integrating FSL Feat output with FreeSurfer overlaying color coded parametric maps onto the cortical surface and visualizing plotted results. -
Confrontsred Tape
IPS: THE MENTAL HEALTH SERVICES CONFERENCE Oct. 8-11, 2015 • New York City When Good Care Confronts Red Tape Navigating the System for Our Patients and Our Practice New York, NY | Sheraton New York Times Square POSTER SESSION OCTOBER 09, 2015 POSTER SESSION 1 P1- 1 ANGIOEDEMA DUE TO POTENTIATING EFFECTS OF RITONIVIR ON RISPERIDONE: CASE REPORT Lead Author: Luisa S. Gonzalez, M.D. Co-Author(s): David A. Kasle MSIII Kavita Kothari M.D. SUMMARY: For many drugs, the liver is the principal site of its metabolism. The most important enzyme system of phase I metabolism is the cytochrome P-450 (CYP450). Ritonavir, a protease inhibitor used for the treatment of human immunodeficiency virus (HIV) infection and acquired immunodeficiency syndrome (AIDS), has been shown to be a potent inhibitor of the (CYP450) 3A and 2D6 isozymes. This inhibition increases the chance for potential drug-drug interactions with compounds that are metabolized by these isoforms. Risperidone, a second generation atypical antipsychotic, is metabolized to a significant extent by the (CYP450) 2D6, and to a lesser extent 3A4. Ritonavir and risperidone can both cause serious, and even life threatening, side effects. An example of one such rare side effect is angioedema which is characterized by edema of the deep dermal and subcutaneous tissues. Here we present three cases of patients residing in a nursing home setting, diagnosed with HIV/AIDS and comorbid psychiatric illness. These patients were all on antiretroviral medications such as ritonavir, and all later presented with varying degrees of edema after long term use of risperidone. We aim to bring to awareness the potential for ritonavir inhibiting the metabolism of risperidone, thus leading to an increased incidence of angioedema in these patients. -
A Novel Mricompatible Brain Ventricle Phantom for Validation of Segmentation and Volumetry Methods
CME JOURNAL OF MAGNETIC RESONANCE IMAGING 36:476–482 (2012) Original Research A Novel MRI-Compatible Brain Ventricle Phantom for Validation of Segmentation and Volumetry Methods Amanda F. Khan, MSc,1,2 John J. Drozd, PhD,2 Robert K. Moreland, MSc,2,3 Robert M. Ta, MSc,1,2 Michael J. Borrie, MB ChB,3,4 Robert Bartha, PhD1,2* and the Alzheimer’s Disease Neuroimaging Initiative Purpose: To create a standardized, MRI-compatible, life- Conclusion: The phantom represents a simple, realistic sized phantom of the brain ventricles to evaluate ventricle and objective method to test the accuracy of lateral ventri- segmentation methods using T1-weighted MRI. An objec- cle segmentation methods and we project it can be tive phantom is needed to test the many different segmen- extended to other anatomical structures. tation programs currently used to measure ventricle vol- Key Words: 3T; brain phantom; MRI; ventricle; software umes in patients with Alzheimer’s disease. validation; segmentation Materials and Methods: A ventricle model was con- J. Magn. Reson. Imaging 2012;36:476–482. structed from polycarbonate using a digital mesh of the VC 2012 Wiley Periodicals, Inc. ventricles created from the 3 Tesla (T) MRI of a subject with Alzheimer’s disease. The ventricle was placed in a brain mold and surrounded with material composed of VOLUMETRY HAS DEMONSTRATED that large mor- 2% agar in water, 0.01% NaCl and 0.0375 mM gadopente- phological changes occur in the brain during the tate dimeglumine to match the signal intensity properties course of Alzheimer’s disease (AD) (1). In particular, of brain tissue in 3T T -weighted MRI. -
Medical Images Research Framework
Medical Images Research Framework Sabrina Musatian Alexander Lomakin Angelina Chizhova Saint Petersburg State University Saint Petersburg State University Saint Petersburg State University Saint Petersburg, Russia Saint Petersburg, Russia Saint Petersburg, Russia Email: [email protected] Email: [email protected] Email: [email protected] Abstract—with a growing interest in medical research problems for the development of medical instruments and to show and the introduction of machine learning methods for solving successful applications of this library on some real medical those, a need in an environment for integrating modern solu- cases. tions and algorithms into medical applications developed. The main goal of our research is to create medical images research 2. Existing systems for medical image process- framework (MIRF) as a solution for the above problem. MIRF ing is a free open–source platform for the development of medical tools with image processing. We created it to fill in the gap be- There are many open–source packages and software tween innovative research with medical images and integrating systems for working with medical images. Some of them are it into real–world patients treatments workflow. Within a short specifically dedicated for these purposes, others are adapted time, a developer can create a rich medical tool, using MIRF's to be used for medical procedures. modular architecture and a set of included features. MIRF Many of them comprise a set of instruments, dedicated takes the responsibility of handling common functionality for to solving typical tasks, such as images pre–processing medical images processing. The only thing required from the and analysis of the results – ITK [1], visualization – developer is integrating his functionality into a module and VTK [2], real–time pre–processing of images and video – choosing which of the other MIRF's features are needed in the OpenCV [3]. -
9. Biomedical Imaging Informatics Daniel L
9. Biomedical Imaging Informatics Daniel L. Rubin, Hayit Greenspan, and James F. Brinkley After reading this chapter, you should know the answers to these questions: 1. What makes images a challenging type of data to be processed by computers, as opposed to non-image clinical data? 2. Why are there many different imaging modalities, and by what major two characteristics do they differ? 3. How are visual and knowledge content in images represented computationally? How are these techniques similar to representation of non-image biomedical data? 4. What sort of applications can be developed to make use of the semantic image content made accessible using the Annotation and Image Markup model? 5. Describe four different types of image processing methods. Why are such methods assembled into a pipeline when creating imaging applications? 6. Give an example of an imaging modality with high spatial resolution. Give an example of a modality that provides functional information. Why are most imaging modalities not capable of providing both? 7. What is the goal in performing segmentation in image analysis? Why is there more than one segmentation method? 8. What are two types of quantitative information in images? What are two types of semantic information in images? How might this information be used in medical applications? 9. What is the difference between image registration and image fusion? Given an example of each. 1 9.1. Introduction Imaging plays a central role in the healthcare process. Imaging is crucial not only to health care, but also to medical communication and education, as well as in research. -
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The Status of Social Security Systems in Uganda: Challenges and Opportunities
THE STATUS OF SOCIAL SECURITY SYSTEMS IN UGANDA: CHALLENGES AND OPPORTUNITIES Paul Bukuluki John-Bosco Mubiru REALITY CHECK THE STATUS OF SOCIAL SECURITY SYSTEMS IN UGANDA: CHALLENGES AND OPPORTUNITIES Paul Bukuluki John-Bosco Mubiru Makerere University School of Social Sciences, College of Humanities and Social Sciences,Makerere University, Kampala, Uganda November 2014 The views expressed in this publication do not necessarily reflect the views of the Konrad-Adenauer-Stiftung but rather those of the author. CHALLENGES AND OPPORTUNITIES i REALITY CHECK THE STATUS OF SOCIAL SECURITY SYSTEMS IN UGANDA: CHALLENGES AND OPPORTUNITIES ISBN: 978 9970 477 03 6 Authors Paul Bukuluki John-Bosco Mubiru Konrad-Adenauer-Stiftung, Uganda Programme 51A, Prince Charles Drive, Kololo P.O. Box 647, Kampala Tel. +256 414 25 46 11 www.kas.de © Konrad-Adenauer-Stiftung e.V. 2014 All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without prior written permission on the Konrad-Adenauer- Stiftung. ii THE STATUS OF SOCIAL SECURITY SYSTEMS IN UGANDA CONTENTS Foreword ............................................................................ vi List of acronyms and abbreviations ................................... vii 1.0.Introduction ..................................................................1 1.1.Background about Uganda ................................................ 2 1.2.Poverty and Vulnerability Context in Uganda ........................ 4 1.2.1.Income inequality