Emergencies, in spite of their tragic nature and adverse effects on mental health, are unparalleled opportunities to build better mental health systems for all people in need. This WHO publication shows how this was done in 10 diverse emergency-affected areas
Equity and Quality in Health: a People's Right
PLoS ONE 11(1): e0144662. doi:10.1371/journal.pone.0144662
The seven essential features of practice for scaling up are described with great clarity. They are practical and universal, and encourage local innovation. They include policy, funding and local management structure, as well as working with all possible partners and developing local context adaptati...ons. The case studies give ideas and inspiration to develop new programmes and find ways around obstacles in existing programmes, especially through involving those with most at stake including users and their families and local community leaders
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Shaping Health programme on Learning from international experience on approaches to community power, participation and decision-making in health,AMHF, TARSC
Scaling Up Mental Health Care In Rural India
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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