The Report describes the evaluation of WHO's contribution to the Maternal Health Program in South-East Asia Region. This was an independent evaluation conducted in 2015 by Amaltas, a Delhi based organization. The evaluation highlights the progress in five countries, namely Bangladesh, Indonesia, Mya...nmar, Nepal and Sri Lanka and provides specific recommendations for Organizational Learning and Development. This report will be useful for all those interested in WHO's work on Maternal Health Program in the Region.
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Rural Development through decent work
Themes: Rural Policy Briefs
As Russia's invasion of Ukraine progresses, the civilian population and the Armed Forces face enormous challenges. It is unsurprising that people's mental health deteriorate in such conditions. This Issue Brief provides publications and informative resources highlighting the impact on Mental Health.
Mozambique registered its first COVID-19 case on 22 March 2020 and since then numbers have steadily grown over the following three months with cases now reported in all provinces. In response, a level 3 State of emergency was enacted on 1 April 2020 and has been extended until 29 July 2020, with mea...sures targeting the prevention of COVID-19 transmissions.
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Data from the 2011 Ethiopia Demographic and Health Survey
This report presents further analysis of the 2015 Nepal Health Facility Survey. Data analysis is based on the Donabedian framework for assessing quality of care in health services, which divides the indicators into three groups: structure, process, and outcome. The World Health Organization Service ...Availability and Readiness Assessment (SARA) indicator guideline was used to assess facility service readiness, service quality and client satisfaction with maternal health services. The study performed both bivariate and multivariate regression analysis to examine the association of maternal health service readiness and quality indicators with client satisfaction.
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This guide provides practical, step-by-step guidance on how to organize, implement, and monitor community-based care for DR TB. It is equally useful for program planning or supervision. The target audience for this guide is TB Program Managers, governments, policy makers, nongovernmental organizatio...ns (NGOs), donors and TB advocates.
This guide does not replace other guidelines and documents that contain important medical information, such as Guidelines for the Programmatic Management of Drug-resistant TB (WHO, 2008 and 2011 updates), and Management of MDR-TB: A Field Guide (WHO, 2009).
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DHS Working Papers No. 90.
The report shows that older people are not getting the healthcare treatments they desperately need. The COVID-19 response has disrupted services for non-communicable diseases such as cancer and diabetes, communicable diseases such as malaria, and much-needed services for mental health. Combined with... a loss of income, many older people are unable to get the medicines they need.
A Summary is available in Russian and Arabic
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Poverty, HIV and other disease burdens, coupled with common mental disorders including alcohol and other substance use disorders, posttraumatic stress disorder, clinical and postnatal depression, distress, and anxiety, impact how caregivers meet the needs of children. When mental health is not consi...dered or addressed, there can be a significant impact on an individual, their family and the community.
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This report shows that frontier agriculture is a viable complement to conventional agriculture, particularly in Africa and countries affected by fragility, conflict, and violence (FCV).
DHS Methodological Report No. 20
This study used Service Provision Assessment (SPA) and Demographic and Health Survey (DHS) data from Haiti, Malawi, and Tanzania to compare traditionally used additive methods with a data reduction method—principal component analysis (PCA).
We scored ...the quality of health facilities with three approaches (simple additive, weighted additive, and PCA) for two constructs: quality of services, with only facilities-level data, and quality of care, which incorporates observation and client data. We ranked facilities as high, medium, or low quality based on their scores. Our results indicated that the rankings change with the scoring methodology. There was more consistency in the rankings of facilities by the simple additive and PCA methods than the weighted additive and PCA-based rankings. This may be due to the low factor loadings and little variance explained by the first component in the PCA. We aggregated facility scores to their respective DHS clusters (Haiti, Malawi) or regions (Tanzania) and geographically linked them to women interviewed in DHS surveys to test associations between the use of family planning services and the quality environment, as measured with each index.
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