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Recommendations for health care professionals – the experience from Latvia
Slum population in India is growing fast (25.1% decadal growth – Census 2011). Its health and nutrition indicators are worse than that of the non slum urban areas and comparable to that of rural India.
The National Urban
...
Health Mission (HUHM), launched in 2013, focuses on improving the health of urban slum population through a needs based, city-specific urban health care system that includes a revamped primary care system, targeted outreach, equitable access, and involvement of the community and urban local bodies (ULBs).
The HUHM recognizes that lack of disaggregated data collected at local and/or city level impedes efficient planning with focus on the urban poor, and that data availability is a critical need.
more
DHS Further Analysis Reports No. 108 - This report examines levels, trends, and inequalities in maternal health in Rwanda from 2010 to 2014-15 among women age 15-49 with a recent birth. The analysis
...
uses Demographic and Health Survey (DHS) data for 15 key indicators of maternal health: 6 for antenatal care, 3 for delivery, 1 for postnatal care, and 5 for barriers to accessing medical care. Levels and trends in these indicators were analyzed overall and by three background characteristics: women’s education, household wealth quintile, and region.
more
Version 2, January 2016
The primary purpose of this document is to provide 3MDG stakeholders with some essential information on the MNCH core-indicators for 3MDG, which were derived from the 3MDG Logical Framework, Data Dictionary for Health S ... ervice Indicators (2014 June, DoPH, MoH), A Guide for Monitoring and Evaluating Child Health Programmes (MEASURE Evaluation, September 2005) and Monitoring Emergency Obstetric Care (WHO/UNICEF/UNFPA/AMDD). Partners are strongly encouraged to integrate the MNCH indicators into their ongoing monitoring and evaluation (M&E) activities.
These indicators are designed to help Partners assess the current state of their activities, their progress towards achieving their targets, and contribution towards the national response. This guideline is designed to improve the quality and consistency of data collected at the township level, which will enhance the accuracy of conclusions drawn when the data are aggregated. more
The primary purpose of this document is to provide 3MDG stakeholders with some essential information on the MNCH core-indicators for 3MDG, which were derived from the 3MDG Logical Framework, Data Dictionary for Health S ... ervice Indicators (2014 June, DoPH, MoH), A Guide for Monitoring and Evaluating Child Health Programmes (MEASURE Evaluation, September 2005) and Monitoring Emergency Obstetric Care (WHO/UNICEF/UNFPA/AMDD). Partners are strongly encouraged to integrate the MNCH indicators into their ongoing monitoring and evaluation (M&E) activities.
These indicators are designed to help Partners assess the current state of their activities, their progress towards achieving their targets, and contribution towards the national response. This guideline is designed to improve the quality and consistency of data collected at the township level, which will enhance the accuracy of conclusions drawn when the data are aggregated. more
WAHA International’s mHealth programme addresses several barriers to maternal and neonatal care, including: a lack of information at the community level about locally available services; a large distance from services and a lack of affordable tran
...
sport for patients; and ineffective communication between community-based and facility-based health workers.
more
Ghana is attracting global attention for efforts to provide health insurance to all citizens through the National Health Insurance Scheme (NHIS). With the program’s strong emphasis on
...
maternal and child health, an expectation of the program is that members will have increased use of relevant services. The NHIS does appear to enable pregnant women to access services and allow caregivers to seek care early for sick children, but both the quantitative and qualitative assessments also indicated that the poor and least educated were less likely to have insurance than their wealthier and more educated counterparts.
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