Int J Health Policy Manag 2017, 6(10), 587–600
Low-income countries face many contextual challenges to manage healthcare technologies effectively, as the majority are imported and resources are constrained to a greater extent. Previous healthcare technology management (HTM) policies in Benin ha...ve failed to produce better quality of care for the population and cost-effectiveness for the government. This study aims to identify and assess the main problems facing HTM in Benin’s public health sector, as well as the ability of key actors within the sector to address these problems.
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Это руководство предназначено для использования в качестве пособия дл яврачей и других медицинских работников, осуществляющих лечение и уход за больными лекарст...енно-устойчивым туберкулезом.
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Arq Neuropsiquiatr 2011;69(2-B):342-348
Introduction
Chapitre A.4
Edition en français Traduction : Eleanor O’Boyle
Sous la direction de : Priscille Gérardin
Avec le soutien de la SFPEADA
Los profesionales de la salud se encuentran con familias, bebés y niños pequeños en una amplia variedad de entornos y circunstancuass. El examen de la salud mental, problemas emocionales y sociales debe ser una parte necesaria de toda evaluación de la salud y el bienestar. El grado en que la sal...ud mental será el foco estará determinado por el entorno y el propósito de contacto con el bebé, el niño y la familia
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В помощь руководи*телям и практикующим врачам приведены конкретные меры, направ*ленные на улучшение медицинской помощи и обеспечение равногодоступа к не...й заключенных, необходимые юридические инструменты, рекомендации по организации работы лабораторных и противотубер*кулезных служб, методы диагностики и ведения больных, образцыспециальной документации, перечни профилактических и санитарно*просветительных мероприятий.
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Introduction
Chapter A.4
2017 edition
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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1 in 3 countries are not taking action to help students catch up on their learning post-COVID-19 school closures
Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change
BACKGROUND: Growing political attention to antimicrobial resistance (AMR) offers a rare opportunity for achieving meaningful action. Many governments have developed national AMR action plans, but most have not yet implemented policy interventions to reduce antimicrobial overuse. A systematic evidenc...e map can support governments in making evidence-informed decisions about implementing programs to reduce AMR, by identifying, describing, and assessing the full range of evaluated government policy options to reduce antimicrobial use in humans.
METHODS AND FINDINGS: Seven databases were searched from inception to January 28, 2019, (MEDLINE, CINAHL, EMBASE, PAIS Index, Cochrane Central Register of Controlled Trials, Web of Science, and PubMed). We identified studies that (1) clearly described a government policy intervention aimed at reducing human antimicrobial use, and (2) applied a quantitative design to measure the impact. We found 69 unique evaluations of government policy interventions carried out across 4 of the 6 WHO regions. These evaluations included randomized controlled trials (n = 4), non-randomized controlled trials (n = 3), controlled before-and-after designs (n = 7), interrupted time series designs (n = 25), uncontrolled before-and-after designs (n = 18), descriptive designs (n = 10), and cohort designs (n = 2). From these we identified 17 unique policy options for governments to reduce the human use of antimicrobials. Many studies evaluated public awareness campaigns (n = 17) and antimicrobial guidelines (n = 13); however, others offered different policy options such as professional regulation, restricted reimbursement, pay for performance, and prescription requirements. Identifying these policies can inform the development of future policies and evaluations in different contexts and health systems. Limitations of our study include the possible omission of unpublished initiatives, and that policies not evaluated with respect to antimicrobial use have not been captured in this review.
CONCLUSIONS: To our knowledge this is the first study to provide policy makers with synthesized evidence on specific government policy interventions addressing AMR. In the future, governments should ensure that AMR policy interventions are evaluated using rigorous study designs and that study results are published.
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