The document "Classification and Referral Algorithm – iCCM Uganda" (2013) by Malaria Consortium provides a practical guide for community health workers to assess, classify, and manage common childhood illnesses in Uganda. It focuses on key symptoms such as fever, cough, diarrhoea, and danger signs... like convulsions or inability to drink. Based on these assessments, the guide helps determine whether a child needs urgent referral to a health facility or can be treated at home. It includes detailed treatment protocols using medicines like amoxicillin, ORS, zinc, Coartem, and rectal artesunate. The goal is to strengthen integrated community case management (iCCM) to reduce child mortality through early detection, appropriate treatment, and timely referral.
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Chronic Non Communicable Diseases. Case Management Desk Guide
Can J Anesth/J Can Anesth June 2018, Volume 65, Issue 6, pp 698–708
The updated List of Essential Diagnostics contains 46 general tests that can be used for routine patient care as well as for the detection and diagnosis of a wide array of disease conditions, and 69 tests intended for the detection, diagnosis and monitoring of specific diseases.
The List is divid...ed into two sections depending on the user and setting: one for community settings, which includes self-testing; and a second one for clinical laboratories, which can be general and specialized facilities.
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Practical Guidance for collaborative interventions
This casebook collects 64 case studies, each of which raises an important and difficult ethical issue connected with planning, reviewing, or conducting health-related research. The book’s purpose is to contribute to thoughtful analysis of these issues by researchers and members of research ethics ...committees (RECs, known in some places as ethical review committees or institutional review boards), particularly those involved with studies that are conducted or sponsored internationally.
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The aim of this toolkit is to guide countries on how to best estimate their current burden of dengue by combining existing data from dengue surveillance systems with on-going research efforts to measure the community burden
of dengue.