Unite for Children
First Edition
The outbreak of COVID-19 comes with unpredictable primary and secondary impacts on vulnerable and food-insecure populations across the world. Mortality and morbidity appear to be most acute for elderly people, and those with underlying health conditions. At the same time, the widely anti...cipated economic downturn could have a more devastating effect on the world’s poor than the virus itself
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English Analysis on World about Disaster Management and Protection and Human Rights; published on 12 Jan 2021 by IFRC
Countries reported disruptions in all health-care settings. In more than half of countries surveyed, many people are still unable to access care at the primary care and community care levels. Significant disruptions have also been reported in emergency care, particularly concerning given the impact... on people with urgent health needs. Thirty-six per cent of countries reported disruptions to ambulance services; 32% to 24-hour emergency room services; and 23% to emergency surgeries.
Elective surgeries have also been disrupted in 59% of countries, which can have accumulating consequences on health and well-being as the pandemic continues. Disruptions to rehabilitative care and palliative care were also reported in around half of the countries surveyed.
Major barriers to health service recovery include pre-existing health systems issues which have been exacerbated by the pandemic as well as decreased demand for care.
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Towards the Peoples Health Assembly Book -2
Accessed on 22.04.2023
To target helminth elimination, a new consortium of research institutes, universities, not-for-profit organizations, and pharmaceutical companies have joined forces and expertise to establish a research and development pipeline for the development of anthelminthics targeti...ng nematodes. The focus is on STH as well as onchocerciasis.
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The 2018 NDHS is a national sample survey that provides up-to-date information on demographic and health indicators. The sample was selected using a stratified, two-stage cluster design, with enumeration areas (EAs) as the sampling units for the first stage. The second stage was a complete listing o...f households carried out in each of the 1,400 selected EAs. The target groups were women age 15-49 and men age 15-59
in randomly selected households across Nigeria. A representative sample of approximately 42,000 households was selected for the survey. One-third of the households (14,000) were selected for malaria, anaemia, and genotype testing of children age 6-59 months. Also, in the subsample of households selected
for the men’s survey, one eligible woman in each household was randomly selected for additional questions regarding domestic violence. Specifically, information was collected on fertility levels, marriage, fertility preferences, awareness and use of family planning methods, child feeding practices, nutritional status of women and children, adult and childhood mortality, awareness and attitudes regarding
HIV/AIDS, and female genital mutilation. The survey also assessed the nutritional status (according to weight and height measurements) of women and children in these households. In addition to presenting national estimates, the report provides estimates of key indicators for both rural and urban areas, the country’s six geopolitical zones and 36 states, and the Federal Capital Territory (FCT).
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A scale to measure (social) participation for use in rehabilitation, stigma reduction and social integration programmes
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 delivery, and timely postnatal care (PNC).This s...tudy 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 12regions.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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Paying for performance (P4P) provides financial incentives for providers to increase the use and quality of care. P4P can affect health care by providing incentives for providers to put more effort into specific activities, and by increasing the amount of resources available to finance the delivery ...of services. This paper evaluates the impact of P4P on the use and quality of prenatal, institutional delivery, and child preventive care using data produced from a prospective quasi-experimental evaluation nested into the national rollout of P4P in Rwanda. Treatment facilities were enrolled in the P4P scheme in 2006 and comparison facilities were enrolled two years later. The incentive effect is isolated from the resource effect by increasing comparison facilities’ input-based budgets by the average P4P payments to the treatment facilities. The data were collected from 166 facilities and a random sample of 2158 households. P4P had a large and significant positive impact on institutional deliveries and preventive care visits by young children, and improved quality of prenatal care. The authors find no effect on the number of prenatal care visits or on immunization rates. P4P had the greatest effect on those services that had the highest payment rates and needed the lowest provider effort. P4P financial performance incentives can improve both the use of and the quality of health services. Because the analysis isolates the incentive effect from the resource effect in P4P, the results indicate that an equal amount of financial resources without the incentives would not have achieved the same gain in outcomes.
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