This document adopts a health determinants framework for examining the evidence related to women’s poor mental health. From this perspective, public policy including economic policy, socio-cultural and environmental factors, community and social support, stressors and life events, personal behavio...ur and skills, and availability and access to health services, are all seen to exercise a role in determining women’s mental health status. Similarly, when considering the differences between women and men, a gender approach has been used. While this does not exclude biological or sex differences, it considers the critical roles that social and cultural factors and unequal power relations between men and women play in promoting or impeding mental health. Such inequalities create, maintain and exacerbate exposure to risk factors that endanger women’s mental health, and are most graphically illustrated in the significantly different rates of depression between men and women, poverty and its impact, and the phenomenal prevalence of violence against women.
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The report is based on comprehensive information collected at representative sample health facilities all over the country by well-organized and trained teams during May and August 2015. This is a continuation of 2014 Assessment activities and findings also reflect comparison between two consecutive... years.
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Scaling Up Mental Health Care In Rural India
Q1: What are the effective maternal mental health interventions to prevent developmental problems in early infancy?
Birth defect has been an emerging major cause of child mortality in the region. Scarcity of the birth defects information hampers policy decisions and control measures at national level. In order to create evidence for action for birth defects prevention in the region, WHO-SEARO in collaboration wit...h CDC, USA has developed and launched a regional electronic database on birth defects. This surveillance database allows data collection on newborn health, birth defects and stillbirths cases and provides real time information at hospitals and national level.
Training of the hospital health staffs and data managers in the birth defects surveillance network; at regional, national and at hospital levels is recognized as essential for expansion of this database and to assure quality of data. A two days training module for hospital based birth defects surveillance was developed using a guide for operation and facilitator guide.
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This study explored family adjustment and access to rehabilitative services for children with Down syndrome, between 0-5 years of age, in the ecoculture of Petchaburi Province, Thailand.
The health of the people and health services are in crisis, and together as partners this plan commits us to strategies aimed at achieving our goal of:
Strengthened primary health care for all, and improved service delivery for the rural majority and the urban disadvantaged.
Original fi...le: 67 MB
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S Afr Med J 2018;108(7):546-550. DOI:10.7196/SAMJ.2018.v108i7.13149
Antimicrobial stewardship programmes have been introduced worldwide in response to the rise in antimicrobial resistance. The World Health Organization has mandated each Member State to produce a plan to address this problem. We rep...ort on the organic development of an antibiotic stewardship programme in a rural regional hospital in a resource-limited setting in South Africa. This has resulted in organisational change with increased awareness, participation, monitoring and education in antibiotic stewardship throughout the hospital
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Situational Analysis: 13-23 October 2014
Report prepared using the WHO/SEARO workbook tool for undertaking a situational analysis of medicines in health care delivery in low and middle income countries
Disabled children: a legal handbook is an authoritative yet accessible guide to the legal rights of disabled children and their families in England and Wales. The handbook aims to empower disabled children and their families through a greater understanding of their rights and entitlements. It is es...sential reading for the families of disabled children, their advocates and lawyers, voluntary and statutory sector advisers, commissioners, managers and lawyers working for public authorities, education, social and health care professionals, students and academics.
Each chapter has been adapted into a PDF for you to download for free
https://councilfordisabledchildren.org.uk/help-resources/resources/disabled-children-legal-handbook-2nd-edition
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DHS Further Analysis Reports No. 111
This study is a theory-driven analysis of the socio-demographic determinants of maternal care seeking in Kenya. Specifically, it examines predisposing, enabling, and need factors potentially associated with use of antenatal care (ANC), health facility delive...ry, and timely postnatal care (PNC).
This study uses data from the 2014 Kenya Demographic and Health Survey (KDHS) conducted among women age 15-49 with a live birth in the five years preceding the survey. It includes data from all 47 counties of Kenya, grouped contiguously into 12 regions. We apply Andersen’s Behavioral Model of Health Services Use to examine socio-demographic predictors of health service use. We estimate logistic regression models for adequate use of ANC (defined as attending at least four ANC visits, starting in the first three months of pregnancy), delivery in a health facility, and PNC within 48 hours of delivery.
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Levels and Inequities
DHS Further Analysis Reports No. 110
This study shows large variations in maternal health indicators across high-priority counties in Kenya. Nairobi exceeds the national average on all maternal health indicators in this study, while other highpriority counties consist...ently are disadvantaged compared with Kenya as a whole in most maternal health indicators. Kisumu exceeds the national average in use of antenatal care, delivery in a health facility, and postnatal care, but not other indicators. Nakuru has fewer women with fertility risk and fewer women who report that the distance they must travel to reach a health facility is a problem.
This study identifies a number of inequities in maternal health indicators across socio-demographic characteristics in the high-priority counties—most in the distribution of delivery care and least in antenatal care. Inequities are also observed in fertility risk and postnatal care.
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