Noncommunicable diseases (NCDs) are responsible for 81% of all deaths in the region of the Americas, of which 34% befall prematurely in people between 30- 69 years old. The burden of theses diseases and their common risk factors jeopardize the health systems to provide adequate management, as well a...s to implement customized policies and interventions. The PAHO/WHO STEPwise approach to NCD risk factor surveillance (STEPS) is a simple, sequential, standardized method for collecting, analyzing, and disseminating data on key NCD risk factors in countries in adults from 18 to 69 years old. This survey covers key modifiable risk factors: tobacco use, alcohol use, physical inactivity, and unhealthy diet, as well as key biological risk factors: overweight and obesity, raised blood pressure, raised blood glucose, and abnormal blood lipids. STEPS is a household survey that gathers information on the risk factors through a face-to-face interview (step 1), simple physical measurements (step 2), and collection of urine and blood samples for biochemical analysis (step 3). Every step has a core set of questions, measurements, and expanded sets depending on the countries' needs and interests. It also has optional modules. Implementing STEPS allows the comparability of data within and between countries due to its standardized data collection. It also helps health services plan public health priorities and monitors and evaluates population-wide interventions. It is designed to help countries build and strengthen their capacity to conduct surveillance. STEPS captures 11 of the 25 indicators outlined in the NCD Global Monitoring Framework relating to 7 of the nine global targets.
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Background
Four methods have previously been used to track aid for reproductive, maternal, newborn, and child health (RMNCH). At a meeting of donors and stakeholders in May, 2018, a single, agreed method was requested to produce accurate, predictable, transparent, and up-to-date estimates that coul...d be used for analyses from both donor and recipient perspectives. Muskoka2 was developed to meet these needs. We describe Muskoka2 and present estimates of levels and trends in aid for RMNCH in 2002–17, with a focus on the latest estimates for 2017.
Methods
Muskoka2 is an automated algorithm that generates disaggregated estimates of aid for reproductive health, maternal and newborn health, and child health at the global, donor, and recipient-country levels. We applied Muskoka2 to the Organisation for Economic Co-operation and Development's Creditor Reporting System (CRS) aid activities database to generate estimates of RMNCH disbursements in 2002–17. The percentage of disbursements that benefit RMNCH was determined using CRS purpose codes for all donors except Gavi, the Vaccine Alliance; the UN Population Fund; and UNICEF; for which fixed percentages of aid were considered to benefit RMNCH. We analysed funding by donor for the 20 largest donors, by recipient-country income group, and by recipient for the 16 countries with the greatest RMNCH need, defined as the countries with the worst levels in 2015 on each of seven health indicators.
Findings
After 3 years of stagnation, reported aid for RMNCH reached $15·9 billion in 2017, the highest amount ever reported. Among donors reporting in both 2016 and 2017, aid increased by 10% ($1·4 billion) to $15·4 billion between 2016 and 2017. Child health received almost half of RMNCH disbursements in 2017 (46%, $7·4 billion), followed by reproductive health (34%, $5·4 billion), and maternal and newborn health (19%, $3·1 billion). The USA ($5·8 billion) and the UK ($1·6 billion) were the largest bilateral donors, disbursing 46% of all RMNCH funding in 2017 (including shares of their core contributions to multilaterals). The Global Fund and Gavi were the largest multilateral donors, disbursing $1·7 billion and $1·5 billion, respectively, for RMNCH from their core budgets. The proportion of aid for RMNCH received by low-income countries increased from 31% in 2002 to 52% in 2017. Nigeria received 7% ($1·1 billion) of all aid for RMNCH in 2017, followed by Ethiopia (6%, $876 million), Kenya (5%, $754 million), and Tanzania (5%, $751 million).
Interpretation
Muskoka2 retains the speed, transparency, and donor buy-in of the G8's previous Muskoka approach and incorporates eight innovations to improve precision. Although aid for RMNCH increased in 2017, low-income and middle-income countries still experience substantial funding gaps and threats to future funding. Maternal and newborn health receives considerably less funding than reproductive health or child health, which is a persistent issue requiring urgent attention.
Funding
Bill & Melinda Gates Foundation; Partnership for Maternal, Newborn & Child Health.
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Introduction
In 2017, development assistance for health (DAH) comprised 5.3% of total health spending in lowincome countries. Despite the key role DAH plays in global health-spending, little is known about the characteristics of assistance that may be associated with committed assistance that is a...ctually disbursed. In this analysis, we examine associations between these characteristics and disbursement of committed assistance.
Methods
We extracted data from the Creditor Reporting System of the Organization for Economic Co-operation and Development, Institute for Health Metrics and Evaluation, and the WHO National Health Accounts database. Factors examined were off-budget assistance, administrative assistance, publicly sourced assistance and assistance to health systems strengthening. Recipient-country characteristics examined were perceived level of corruption, civil fragility and gross domestic product per capita (GDPpc). We used linear regression methods for panel of data to assess the proportion of committed aid that was disbursed for a given country-year, for each data source.
Results
Factors that were associated with a higher disbursement rates include off-budget aid (p<0.001), lower administrative expenses (p<0.01), lower perceived corruption in recipient country (p<0.001), lower fragility in recipient country (p<0.05) and higher GDPpc (p<0.05).
Conclusion
Substantial gaps remain between commitments and disbursements. Characteristics of assistance (administrative, publicly sourced) and indicators of government transparency and fragility are also important drivers associated with disbursement of DAH. There remains a continued need for better aid flow reporting standards and clarity around aid types for better measurement of DAH.
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With development, people around the world have become wealthier and live longer. At the same time, development can lead to growing inequalities within and between nations. This paper analyses inequalities related to disability and how they vary across countries by development level. Using internatio...nally comparable data on disability inequalities in 40 countries, we assess disability inequalities through the use of regression analyses with a variety of development measures. Results support the hypothesis only partially: disability inequalities related to education, employment, and multidimensional poverty are found to be significantly larger in countries at higher levels of development. However, this is not the case for rates of access to water, sanitation, clean fuel, electricity, housing, and assets. These results, overall, hold when using different development and
outcome indicators, and when focusing on specific subgroups of the population. The potential implications of these findings are discussed. Further research is needed to understand, for education and employment, the factors and processes that contribute to larger disability inequalities in countries at higher levels of development and what strategies might be pursued to reduce them.
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En los últimos decenios, el estado general de salud de las personas ha mejorado considerablemente, lo que ha llevado a un aumento de la esperanza de vida al nacer en la mayor parte de los países de la Región de las Américas. Este progreso ha sido el resultado tanto de los avances en las tecnolog...ías sanitarias (antibióticos, vacunas y otros tipos de tratamiento) como de las mejoras en las condiciones en que viven las personas, incluido un mayor acceso al agua potable y el saneamiento mejorados, y a servicios de salud. Sin embargo, el progreso ha aminorado en los últimos años, y los logros han variado entre los países y territorios, así como dentro de ellos. En el camino hacia la salud universal, es esencial tener la capacidad para evaluar el progreso y darle seguimiento de acuerdo con el objetivo fundamental de los sistemas de salud, que es mejorar la salud y el bienestar de la población. Con ese fin, en esta edición de Salud en las Américas se analiza la tasa estandarizada de mortalidad prematura potencialmente evitable como indicador del desempeño de los sistemas de salud, teniendo en cuenta tanto el componente prevenible por medio de intervenciones intersectoriales y de salud pública como el componente tratable, relacionado con la efectividad de los servicios de salud, es decir, la calidad de la atención de salud.
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Version 2 (unedited). The Basic Needs Analysis (BNA) is a multi-sector needs analysis approach that can be applied in both sudden onset and protracted emergencies. The methodology comprises the Guidance (this document) presenting the conceptual BNA framework and related processes, and a Toolbox, whi...ch includes tools, templates, training materials, and examples drawn from its first pilot, in Borno State(Nigeria).
The BNA is conceived to go hand in hand with the Facilitator’s Guide for the Response Options Analysis and Planning (a separate document), as it is part of a broader response planning process (see The BNA within the ). It shall be carried out with other assessments on the operational environment and would not add any value if undertaken in isolation.
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AN ANALYSIS OF UNICEF MICS 3 SURVEY DATA FROM BANGLADESH, LAO PDR, MONGOLIA AND THAILAND
Los indicadores básicos de la OPS proporcionan los datos más recientes sobre indicadores de salud para la Región de las Américas, tales como los ejemplos que se muestran abajo. Este conjunto de ...datos se compone de cerca de 200 indicadores de salud y relacionados con la salud de 1995 a 2021 para 49 países y territorios de la Región de las Américas.
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