Monitoring is a crucial element in any successful programme. It is important to
know if health care facilities – and ultimately countries – are meeting the agreed
goals and objectives for preventing and managing cardiovascular diseases (CVD).
Monitoring is the on-going collection, management ...and use of information to
assess whether an activity or programme is proceeding according to plan and/
or achieving defined targets. Not all outcomes of interest can be monitored. Clear
outcomes must be identified that relate to the most important changes expected to result from the project and to what is realistic and measurable within the timescale of the project. Once these outcomes have been articulated, indicators can be chosen that best measure whether the desired outcomes are being met.
To allow progress to be monitored, this module provides a set of indicators on
CVD management. Agreeing on a set of indicators allows countries to compare
progress in CVD management and treatment across different districts or
subnational jurisdictions, as well as at a facility level, identify where performance
can be improved, and track trends in implementation over time. Monitoring
these indicators also helps identify problems that may be encountered so that
implementation efforts can be redirected.
This module starts from the collection of data at facility level, which is then
“transferred up” the system: facility-level data are aggregated at subnational level
to produce reports that allow tracking of facility and subnational performance over time and allow for comparison among facilities. National-level data are obtained through population-based surveys.
Implementing a monitoring system requires action at many levels. At national and
subnational levels, staff can determine how best to integrate data elements into
existing data collection systems – such as the routine service-delivery data that are collected through facility-level Health Management Information Systems (HMIS).
In the facility setting, personnel must be aware of what data are needed. Sample
data-collection tools are included, recognizing that countries use different datamanagement systems for HMIS, so the CVD monitoring tools will be adapted to work with the HMIS system being used by the country, such that the indicators can be collected with minimal disruption/work to existing systems and tools
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This document adopts a health determinants framework for examining the evidence related to women’s poor mental health. From this perspective, public policy including economic policy, socio-cultural and environmental factors, community and social support, stressors and life events, personal behavio...ur and skills, and availability and access to health services, are all seen to exercise a role in determining women’s mental health status. Similarly, when considering the differences between women and men, a gender approach has been used. While this does not exclude biological or sex differences, it considers the critical roles that social and cultural factors and unequal power relations between men and women play in promoting or impeding mental health. Such inequalities create, maintain and exacerbate exposure to risk factors that endanger women’s mental health, and are most graphically illustrated in the significantly different rates of depression between men and women, poverty and its impact, and the phenomenal prevalence of violence against women.
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Prévalence du VIH au Bénin : résultats de l’EDSB-IV 2011-2012
FAST FACTS FROM THE 2016 GHANA MIS
DHS Further Analysis Reports No. 97
O presente relatório descreve os resultados preliminares de indicadores de HIV, estimados no âmbito do Inquérito de Indicadores de Imunização, Malária e HIV/SIDA em Moçambique (IMASIDA 2015), conduzido pelo INS em colaboração com o INE.
O Inquérito de Indicadores de Imunização, Malári...a e HIV/SIDA foi realizado com o objectivo de determinar a prevalência do HIV e SIDA e malária, bem como outros indicadores de saúde da mulher e da criança no país.
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FAST FACTS FROM THE 2015 ZIMBABWE DHS
FAST FACTS FROM THE 2015-16 TANZANIA DHS-MIS