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Data on the essential building blocks of mental health systems, including mental health
governance, financing, service delivery, human resources and information, are reported. For
mental health planning, it is important to know not only the level of resources in these six areas,
but also how thos...e resources are being organized and utilized. Thus, data on efficiency, access,
equity, linkages with other sectors and respect for human rights are reported as well.
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Standard Treatment Guideline
Workshop on PHC Revitalisation in Nepal, April 5-6, 2010
This study provides information about vulnerabilities within the targeted population and contributes to reflection within UNHCR on how to interpret their multisectorial Home Visit assessments. By exploring relationships between vulnerability indicators and other data collected, the report outlines k...ey trends and relationships. The report details predefined VAF indicators and then provides an in-depth descriptive analysis for each sector
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One approach to development assistance for health, or health aid, emphasizes the ex ante selection of cost-effective health interventions, an approach that began with the World Development Report (1993) on Investing in Health and has since been adopted by the Effective Altruism community. But just h...ow much of health aid is cost-effective? In this paper, we examine projects in the Organisation for Economic Co-operation and Development (OECD) Creditor Reporting System, the standard dataset that measures and characterizes development assistance for health, for the
years 2019 to 2021, and count the number of projects that refer to interventions from a list of highly cost-effective interventions as defined by the Disease Control Priorities Project, third edition. This exploratory quantitative analysis indicates that 61% of projects used a key word/phrase of a costeffective intervention. There were 11.9 interventions mapped per project on average. There is little evidence that donors tailor the set of interventions to country income levels by cost-effectiveness.
Policymakers may benefit from reviewing the full portfolio of interventions covered by domestic and external resources.
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This year’s MPI results show that more than two-thirds of the multidimensionally poor—886 millionpeople—live in middle-income countries. A further 440 million live in low-income countries. In both groups, data show, simple national averagescan hide enormous inequality inpatterns of povertywith...in countries. For instance, in Uganda 55 percentof the population experience multidimensional poverty—similartotheaverage in Sub-Saharan Africa. But Kampala, the capital city, has an MPI rate of sixpercent, whileinthe Karamojaregion, the MPI soars to 96 percent—meaningthat partsof Ugandaspan the extremes of Sub-Saharan Africa.There is even inequality under the same roof. In South Asia, for example, almost a quarter ofchildren under five live in households where at least one child in the household is malnourished but at least one child is not.
There is also inequality among the poor. Findings of the2019 global MPI paint a detailed picture of the many differences in how-and how deeply -people experience poverty. Deprivationsamong the poor varyenormously: in general, higher MPI valuesgo hand in hand with greater variationin the intensity of poverty. Results also show that children suffer poverty more intensely than adults and are more likely to be deprived in all 10 of the MPI indicators, lackingessentialssuch as clean water, sanitation, adequate nutrition or primary education
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Sphere unpacked
The package is designed to help address the WASH in Schools monitoring deficit at the national level.
The package consists of three modules:
The EMIS module: a set of basic monitoring questions on WASH in Schools to be incorporated into national Education Monitoring Information Syst...ems (EMIS), usually administered annually;
The survey module: a more comprehensive set of questions, observations and focus group discussion guidelines for use in national WASH in Schools surveys as well as for sub-national, project level or thematic surveys;
The children’s monitoring module: a teacher’s guide and tool set for the monitoring of WASH in Schools by students, including observation checklists, survey questions and special monitoring exercises. more
The package consists of three modules:
The EMIS module: a set of basic monitoring questions on WASH in Schools to be incorporated into national Education Monitoring Information Syst...ems (EMIS), usually administered annually;
The survey module: a more comprehensive set of questions, observations and focus group discussion guidelines for use in national WASH in Schools surveys as well as for sub-national, project level or thematic surveys;
The children’s monitoring module: a teacher’s guide and tool set for the monitoring of WASH in Schools by students, including observation checklists, survey questions and special monitoring exercises. more
The Disaster Recovery Framework (DRF) Guide for the Health Sector provides guidance on how to implement a comprehensive, integrated, and structured approach to disaster recovery. Its overarching goal is to minimize the impact of the disaster on communities and help countries to recover quickly and e...ffectively from disasters, in coordination with key stakeholders.
The DRF Guide for the Health Sector is adapted from the generic DRF Guide, and draws on the Implementation Guide For Health Systems Recovery in Emergencies, the Health Emergency and Disaster Risk Management Framework as well as the Disaster Recovery Guidance Series. The guide also makes links with multi-sectoral, government-led recovery planning processes such as the Post-Disaster Needs Assessment (PDNA), and it supports the implementation of the HDPN.
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The building damage assessment, conducted between March 2010 and February 2011 by the Government of Haiti and the United Nations system, showed that more than 400,000 buildings were damaged or destroyed, of which approximately 218,000 could be occupied without repairs (green category), 105,000 were ...damaged but could be repaired (yellow category), and 80,000 were severely damaged and remained uninhabitable (red category).
The destruction of buildings and infrastructure generated a huge amount of debris, estimated at 10 million cubic meters, blocking streets and land in affected areas. In the absence of a national debris management strategy, debris could, thus, be cleared and disposed of in an uncontrolled manner, hindering relief, recovery and reconstruction activities.
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