Health Policy Plan (2017) 32 (5): 603-612; 10 pp. 318 kB
Further Analysis of the 2000, 2005, 2010, and 2014 Cambodia Demographic and Health Surveys | DHS Further Analysis Reports No. 106
DHS Working Papers No. 98.
Nigeria is Africa’s most populous nation and accounts for nearly one quarter of the continent’s maternal, newborn and child deaths. In the spirit of the global Countdown to 2015 for Maternal, Newborn and Child Health and the Nigerian Saving One Million Lives Initiative, these state data profiles... have been designed to prompt and inform policy and programme action.
Without data there can be no accountability. Without accountability we risk making no progress for Nigeria’s women and children. The data included in these profiles come mainly from large-scale, periodic household surveys. Continued efforts are needed to strengthen civil registration, vital statistics and health management information systems, as well as the institutional capacity to gather and use these data.
Updated from 2011, these data profiles can be used to compare progress in different areas, identify opportunities to address specific coverage gaps, and monitor implementation.
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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 Service 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.
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