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Routine health information system and health facility data for neglected tropical diseases

World Health Organization
4.9/5 (27276 ratings)
Read Now Download Now ⏭ listen AudioBook
Description:This document aims at supporting countries on integration of health facility data collection for schistosomiasis in health information system. It provides guidance on primary collection, analysis, reporting and use of routine schistosomiasis data. It is relevant for different members of the health workforce including staff working on schistosomiasis data monitoring, and health workers at health facilities treating the disease. By using this document, readers should be able to describe core schistosomiasis indicators, detect notable trends in its prevalence, geographical distribution, and support tracking of programme progress towards public health goals. The guidance also enables users to monitor routine programme performance of schistosomiasis diagnosis and treatments in clinical settings. It presents core health facility level indicators and analysis, offers suggestions for questions on data quality, and discusses considerations and limitations for using the data and analysis. Furthermore, it teaches how to interpret changes in trends over time or by geography, and how to assess data quality and understand its implications when interpreting routine data.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Routine health information system and health facility data for neglected tropical diseases. To get started finding Routine health information system and health facility data for neglected tropical diseases, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
34
Format
PDF, EPUB & Kindle Edition
Publisher
World Health Organization
Release
2025
ISBN
zNI

Routine health information system and health facility data for neglected tropical diseases

World Health Organization
4.4/5 (1290744 ratings)
Read Now Download now ⏭ listen AudioBook
Description: This document aims at supporting countries on integration of health facility data collection for schistosomiasis in health information system. It provides guidance on primary collection, analysis, reporting and use of routine schistosomiasis data. It is relevant for different members of the health workforce including staff working on schistosomiasis data monitoring, and health workers at health facilities treating the disease. By using this document, readers should be able to describe core schistosomiasis indicators, detect notable trends in its prevalence, geographical distribution, and support tracking of programme progress towards public health goals. The guidance also enables users to monitor routine programme performance of schistosomiasis diagnosis and treatments in clinical settings. It presents core health facility level indicators and analysis, offers suggestions for questions on data quality, and discusses considerations and limitations for using the data and analysis. Furthermore, it teaches how to interpret changes in trends over time or by geography, and how to assess data quality and understand its implications when interpreting routine data.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Routine health information system and health facility data for neglected tropical diseases. To get started finding Routine health information system and health facility data for neglected tropical diseases, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
34
Format
PDF, EPUB & Kindle Edition
Publisher
World Health Organization
Release
2025
ISBN
zNI

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