Managers Who Lead empowers health managers at all levels of an organization to lead teams to face challenges and achieve results. It answers questions such as: How can I lead and manage more effectively? How do I create a shared vision and a clear path for achieving it? What can I do to improve work... climate? How can I prepare myself and others for higher levels of responsibility? How do I lead change inside and outside my organization?
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Further Analysis of the 2014 Cambodia Demographic and Health Survey | DHS Further Analysis Reports No. 105
Further Analysis of the 2000, 2005, and 2011 Demographic Health Surveys. DHS Further Analysis Reports No. 72
AIDSFree Case study series
This publication is made possible by the generous support of the American people through the U.S. President’s Emergency Plan for AIDS Relief (PEPFAR) and the U.S. Agency for International Development (USAID) under the terms of Cooperative Agreement AID-OAA-A-14-00046....
The contents are the responsibility of AIDSFree and do not necessarily reflect the views of PEPFAR, USAID, or the U.S. Government.
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DHS Working Papers No. 69
This paper uses data from the three Indian National Family Health Surveys (1992-93, 1998-99, 2005-06) to examine how the relationship between household wealth and child mortality evolved during a time of significant economic change in India. The main predictor is a new... measure of household wealth that captures changes in wealth over time. Outcomes include neonatal mortality, postneonatal mortality, child mortality, and under-five mortality. Multivariate analysis is conducted at the national, urban, rural, and regional levels.
Results indicate that the overall relationship between household wealth and mortality weakened over time, as evidenced by the coefficients for under-five mortality at the national level.
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Assessment and Guidance for Strengthening Integration of Mental Health into Primary Health Care and Community-Based Service Platforms in Ukraine
This guide is an introduction on how to integrate logistics management information systems (LMIS) with geographic information systems (GIS). It covers the value of integrating these two systems, the steps in assessing if it is currently viable to link the systems, how to set the linkage, the process...es for using LMIS within a GIS platform, and finally how to sustain the linkage. The aim of this guide is to assist logistics managers, decisionmakers and technical experts in understanding the value of integrating GIS and of the process involved in integrating these two systems.
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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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Poor quality health services are holding back progress on improving health in countries at all income levels.
Today, inaccurate diagnosis, medication errors, inappropriate or unnecessary treatment, inadequate or unsafe clinical facilities or practices, or providers who lack adequate training an...d expertise prevail in all countries.
The situation is worst in low and middle-income countries where 10 percent of hospitalized patients can expect to acquire an infection during their stay, as compared to seven percent in high income countries. This is despite hospital acquired infections being easily avoided through better hygiene, improved infection control practices and appropriate use of antimicrobials.. At the same time, one in ten patients is harmed during medical treatment in high income countries.
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Policy Brief, Updated in March 2017
Key messages
• Ensuring access to HIV prevention and critical services for non-disclosed men who have sex with men (MSM) remains a priority in Myanmar.
• Internet, social media and mobile applications can be important means for reaching these me...n with HIV prevention messages and referral to services.
• Strategies to protect individual privacy, confidentiality and security are essential for making mobile phone and web-based health services available, accessible and acceptable to MSM.
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DHS Working Papers No. 105 - Rwanda has developed and implemented many strategies at the national level to reduce the incidence of HIV in the general population. One of the main objectives of such interventions is to improve the general level of knowledge of HIV, with the hypothesis that increasing... HIV knowledge will reduce risky sexual behavior. However, there has been a concern that HIV knowledge may not necessarily reduce risky sexual behavior. Only a limited number of population-based studies describe the results of these interventions in terms of how HIV knowledge affects risky sexual behavior. Therefore, the aim of this paper is to fill in this gap, by exploring HIV knowledge and its effect on risky sexual behavior among men in Rwanda.
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This report investigates the impact of potential misclassification of samples on HIV prevalence estimates for 23 surveys conducted from 2010-2014. In addition to visual inspection of laboratory results, we examined how accounting for potential misclassification of HIV status through Bayesian latent ...class models affected the prevalence estimates. Two types of Bayesian models were specified: a model that only uses the individual dichotomous test results and a continuous model that uses the quantitative information of the EIA (i.e., the signal-to-cutoff values). Overall, we found that adjusted prevalence estimates matched the surveys’ original results, with overlapping uncertainty intervals. This suggested that misclassification of HIV status should not affect the prevalence estimates in most surveys. However, our analyses suggested that two surveys may be problematic. The prevalence could have been overestimated in the Uganda AIDS Indicator Survey 2011 and the Zambia Demographic and Health Survey 2013-14, although the magnitude of overestimation remains difficult to ascertain. Interpreting results from the Uganda survey is difficult because of the lack of internal quality control and potential violation of the multivariate normality assumption of the continuous Bayesian latent class model. In conclusion, despite the limitations of our latent class models, our analyses suggest that prevalence estimates from most of the surveys reviewed are not affected by sample misclassification.
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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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The Government of Liberia (GoL) reports three additional EVD cases linked to the Margibi County cluster, including one in Liberia’s Montserrado County; new confirmed case total reaches six
Recently extended Operation Northern Push strengthens contact tracing and EVD prevention activities ...in Sierra Leone
The Government of Guinea (GoG) and EVD response actors investigate source of infection for EVD-positive nurse in Forécariah Prefecture, the area’s first confirmed case among health care workers since March
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A global Review of evidence and practice
Promoting and protecting health is essential to human welfare and sustained economic and social development. This was recognized more than 30 years ago by the Alma-Ata Declaration signatories, who noted that Health for All would contribute
both to a better quality of life and also to global peace a...nd security
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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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Rebuilding Liberia’s health system is crucial for improving the country’s overall health outcomes. This annual report highlights key achievements, challenges,and lessons learned in implementing programmes of technical cooperation with the Government of Liberia from January to December 2022. T...he key achievements are summarized under the thematic areas of Universal Health Coverage, Health Emergencies and Corporate and Enabling Support.
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This document puts forward the joint position and vision of an expert, global, multistakeholder working group on implementing Kangaroo Mother Care (KMC) for all preterm or low birth weight (LBW) infants as the foundation for small and/or sick newborn care within maternal, newborn, and child health p...rogrammes, and spur collaborative global action. The document summarizes the background information, evidence, and rationale for making KMC available to every preterm or LBW newborn and seeks to galvanize the international maternal, newborn, and child health community and families to come together to support the implementation of KMC for all preterm or LBW infants to improve their and their mothers and families health and well-being.
This position paper is intended to be used by policy-makers (i.e. those responsible for national policy, guideline development and budget allocation), development partners, programme managers, health workforce leadership, practising clinicians, civil society leadership (e.g. parent and professional organizations) and researchers/research organizations involved in KMC implementation research.
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The majority of developing countries will fail to achieve their targets for Universal Health Coverage (UHC)1 and the health- and poverty-related Sustainable Development Goals (SDGs) unless they take urgent steps to strengthen their health financing. Just over a decade out from the SDG deadline of 20...30, 3.6 billion people do not receive the most essential health services they need, and 100 million are pushed into poverty from paying out-of-pocket for health services. The evidence is strong that progress towards UHC, core to SDG 3, will spur inclusive and sustainable economic growth, yet this will not happen unless countries achieve high-performance health financing, defined here as funding levels that are adequate and sustainable; pooling that is sufficient to spread the financial risks of ill-health; and spending that is efficient and equitable to assure desired levels of health service coverage, quality, and financial protection for all people— with resilience and sustainability.
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