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31 Janaury 2021
SCORE for health data technical package. The first global assessment on the status and capacity of health information systems in 133 countries, covering 87% of the global population.
It identifies gaps and provides guidance for inv
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estment in areas that can have the greatest impact on the quality, availability, analysis, accessibility and use of health data.
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2nd edition
Basic Eye Care
recommended
Helen Keller International
(1996)
Training Activities for Community Health Workers
This is an open-access training course for frontline healthcare providers who manage acute illness and injury with limited resources. Produced in response to requests from multiple countries and international partners, the BEC package includes a Participant Workbook and electronic slide decks for ea
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ch module. Integrating the guidance from WHO Emergency Triage, Assessment and Treatment (ETAT) for children and the Integrated Management of Adult/Adolescent Illness (IMAI), BEC teaches a systematic approach to the initial assessment and management of time-sensitive conditions where early intervention saves lives
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A desk guide for health facilities . It outlines a comprehensive approach to respiratory health, which health facilities can adapt and implement in resource-limited settings
The WHO handbook “Epidemiological Data Analysis for the Early Warning Alert and Response Network (EWARN) in Humanitarian Emergencies” explains how to collect, analyse, interpret, and share health data
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during crises such as conflicts or natural disasters. It is a practical guide for health and surveillance officers to detect disease outbreaks early and guide quick public health responses. The document outlines steps for managing data at different levels (local, regional, national), analysing disease trends by time, place, and person, and using indicators to monitor outbreak risks. It also provides methods for interpreting and communicating results clearly to decision-makers to support effective health interventions in emergencies.
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Disability Data Collection in Community-based Rehabilitation
Sunil Deepak, Franesca Ortali, Geraldine Mason Halls, Tulgamaa Damdinsuren, Enhbuyant Lhagvajav, Steven Msowoya, Malek Qutteina, Jayanth Kumar
Disability, CBR & Inclusive Development Journal (DCIDJ)
(2016)
CC
Today there are Community-based Rehabilitation (CBR) programmes in a large number of countries. In many countries, the CBR approach is a part of the national rehabilitation services. However, there is a lack of reliable data about persons with disab
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ilities who benefit from CBR and the kind of benefits they receive. This article reviews the disability data collection systems and presents some case studies to understand the influence of operational factors on data collection in the CBR programmes. The review shows that most CBR programmes use a variable number of broad functional categories to collect information about persons with disabilities, combined occasionally with more specific diagnostic categories. This categorisation is influenced by local contexts and operational factors, including the limitations of human and material resources available for its implementation, making it difficult to have comparable CBR data. Therefore, any strategies to strengthen the data collection in CBR programmes must take these operational factors into account.
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Safe Motherhood Series
Participant Modules
Technical Information & Safety Data on Chlorine
"This document has been developed for outpatient oncology
facilities to serve as a model for a basic infection
control and prevention plan. It contains policies
and procedures tailored to these settings to meet minimal
expectations of patient pr
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otections as described
in the CDC Guide to Infection Prevention in Outpatient
Settings."
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Webinar.
The purpose of this booklet is to help readers understand why data on children with disabilities are currently inadequate, the difficulties that surround the gathering of high-quality data
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on disabled children, and why there is a real need to improve the collection, analysis, dissemination and use of disability data.
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