Trop. Med. Infect. Dis. 2018, 3, 72;
The study identified some key determinants of untimely and incomplete childhood vaccinations in the context of Bangladesh. The findings will contribute to the improvement of age-specific vaccination and support policy makers in taking the necessary control ...strategies with respect to delayed and early vaccination in Bangladesh.
https://doi.org/10.3390/tropicalmed3030072
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The UNFPA Zambia 2017 Annual Report highlights key milestones and achievements recorded with UNFPA support towards improving the health and well-being of women and young people in Zambia.
This document describes the key areas that national governments should consider for the introduction and scale-up of point-of-care (POC) diagnostics within national programmes, as new innovative POC technologies are being introduced into the market. The next steps taken to include these new innovati...ons within the broader context of national diagnostic networks of conventional laboratories could influence the achievement of the 2030 Fast Track targets for ending the AIDS epidemic.
POC diagnostics, when strategically introduced and integrated into national diagnostic networks, may help catalyse changes that improve the way diagnostics and clinical services are delivered. This document distils this understanding based on programmatic and market experiences of introducing POC diagnostics through catalytic investments in POC HIV technologies across numerous countries in sub-Saharan Africa.
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A Focus on the Journey to Self-Reliance for Preventing Child and Maternal Deaths . June 2018
The 2018 Acting on the Call report focuses on 25 countries’ journeys to self-reliance for preventing child and maternal deaths. Self-reliance is a country’s ability to finance and implement solution...s to its own development challenges. Understanding where countries lie on this effort - known as the journey to self-reliance - helps USAID to best partner with countries and support their efforts.
The report looks at the health status of 25 priority countries as well as the current capacity of the health system to meet the needs of women and children. In the report, we recount progress since the 2012 Call to Action as well as identify gaps in order to inform future programming and areas that need strengthening during the journey to self-reliance. For the first time ever, we’ve calculated the return on our investment to eliminate bottlenecks to improving health services.
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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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DHS Further Analysis Reports No. 115
Global actions to reduce antimicrobial resistance (AMR) include optimising the use of antimicrobial medicines in human and animal health. In countries with weak healthcare regulation, this requires a greater understanding of the drivers of antibiotic use from the perspective of providers and consume...rs. In Bangladesh, there is limited research on household decision-making and healthcare seeking in relation to antibiotic use and consumption for humans and livestock. Knowledge is similarly lacking on factors influencing the supply and demand for antibiotics among qualified and unqualified healthcare providers. The aim of this study is to conduct integrated research on household decision-making for healthcare and antibiotic use, as well as the awareness, behaviours and priorities of healthcare providers and sellers of antibiotics to translate into policy development and implementation
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PLoS Med 15(7): e1002615. https://doi.org/10.1371/journal. pmed.1002615
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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Revision for Field Review
Online version of the manual: https://iawgfieldmanual.com/manual
Transforming Health Systems: Achieving Universal Health Coverage by 2022. The development of the Kenya Health Sector Strategic Plan 2018–2023 is guided by the Constitution of 2010, the Kenya Vision 2030 and the Kenya Health Policy 2014–2030.
This report presents the key findings of the end-of-project assessment of households and
community health volunteers, conducted in 2017 in the Kamukunji and Embakasi sub-counties
of Nairobi, Kenya, for a Community Health Volunteers’ Decision Support System (CHV DSS)
intervention project. The re...port was prepared by the African Population and Health Research
Center (APHRC). The end-line survey was implemented by APHRC. Implementation of the CHV
DSS project is a joint collaboration among several partners, including APHRC, the City County
of Nairobi, sub-county health management teams (Kamukunji and Embakasi), and community
health volunteers. The opinions expressed in this report are those of the authors and do not
necessarily reflect the views of the donor organization, the County Innovation Challenge Fund
for Kenya.
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