A list of terms found within the Measures Review Database (MRD). This fact sheet defines various terms from the MRD to help users better understand the measures reviews.
Emerging Infectious Diseases • www.cdc.gov/eid • Vol. 23, No. 11, November 2017
DHS Methodological Report No. 20
This study used Service Provision Assessment (SPA) and Demographic and Health Survey (DHS) data from Haiti, Malawi, and Tanzania to compare traditionally used additive methods with a data reduction method—principal component analysis (PCA).
We scored
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the quality of health facilities with three approaches (simple additive, weighted additive, and PCA) for two constructs: quality of services, with only facilities-level data, and quality of care, which incorporates observation and client data. We ranked facilities as high, medium, or low quality based on their scores. Our results indicated that the rankings change with the scoring methodology. There was more consistency in the rankings of facilities by the simple additive and PCA methods than the weighted additive and PCA-based rankings. This may be due to the low factor loadings and little variance explained by the first component in the PCA. We aggregated facility scores to their respective DHS clusters (Haiti, Malawi) or regions (Tanzania) and geographically linked them to women interviewed in DHS surveys to test associations between the use of family planning services and the quality environment, as measured with each index.
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Policy briefs produced for FP2020 and other countries, presenting analysis of Family Planning Effort (FPE) scores from the current and previous rounds. Research and policy implications based on the analyses are also presented.
However, very little is known about the trend of the quality of life over
time in untreated PLWHA compared to treated patients.
Exploring quality of life trends in treated and untreated
patients will help the health care system develop adapted
strategies to better manage the PLWHA in low-income
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countries.
This study aimed to assess the quality of life of persons
living with HIV in Burkina Faso, in their routine followup and its change over time.
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This is the seventeenth annual publication of the Global Hunger Index (GHI), a report jointly published by Concern Worldwide and Welthungerhilfe.
The 2022 Global Hunger Index (GHI) brings us face to face with a grim reality. The toxic cocktail of conflict, climate change, and the COVID-19 pandemi
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c had already left millions exposed to food price shocks and vulnerable to further crises. Now the conflict in Ukraine—with its knock-on effects on global supplies of and prices for food, fertilizer, and fuel—is turning a crisis into a catastrophe. But the speed and severity of the global food crisis reflects the fact that millions of people were already living on the precarious edge of hunger—a legacy of past failures to build more just, sustainable, and resilient food systems. This year’s report therefore focuses on food systems transformation and local governance.
According to the 2022 GHI, Hunger is at alarming levels in 5 countries—Central African Republic, Chad, Democratic Republic of the Congo, Madagascar, and Yemen— and is provisionally considered *alarming *in 4 additional countries— Burundi, Somalia, South Sudan, and Syria. In a further 35 countries, hunger is considered serious, based on 2022 GHI scores and provisional designations.
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Policy Brief | Number 5 (April 2011)
ERJ Open Res 2017; 3: 00002-2017
Panam Salud Publica. 2021;45:e22. https://doi.org/10.26633/RPSP.2021.22
Int J Ment Health Syst. 2013 Jan 9;7(1):2. doi: 10.1186/1752-4458-7-2.
Background: Cardiovascular disease (CVD), mainly heart attack and stroke, is the
leading cause of premature mortality in low and middle income countries (LMICs).
Identifying and managing individuals at high risk of CVD is an important strategy to prevent and control CVD, in addition to multisector
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al population-based interventions to reduce CVD risk factors in the entire population.
Methods: We describe key public health considerations in identifying and managing individuals at high risk of CVD in LMICs.
Results: A main objective of any strategy to identify individuals at high CVD risk is to maximize the number of CVD events averted while minimizing the numbers of
individuals needing treatment. Scores estimating the total risk of CVD (e.g. ten-year risk of fatal and non-fatal CVD) are available for LMICs, and are based on the main CVD risk factors (history of CVD, age, sex, tobacco use, blood pressure, blood cholesterol and diabetes status). Opportunistic screening of CVD risk factors enables identification of persons with high CVD risk, but this strategy can be widely applied in low resource settings only if cost effective interventions are used (e.g. the WHO Package of Essential NCD interventions for primary health care in low resource settings package) and if treatment (generally for years) can be sustained, including continued availability ofaffordable medications and funding mechanisms that allow people to purchase medications without impoverishing them (e.g. universal access to health care). Thisalso emphasises the need to re-orient health systems in LMICs towards chronic diseases management.
Conclusion: The large burden of CVD in LMICs and the fact that persons with high
CVD can be identified and managed along cost-effective interventions mean that
health systems need to be structured in a way that encourages patient registration, opportunistic screening of CVD risk factors, efficient procedures for the management of chronic conditions (e.g. task sharing) and provision of affordable treatment for those with high CVD risk. The focus needs to be in primary care because that is where most of the population can access health care and because CVD programmes can be run effectively at this level.
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A discussion paper on the scope of the problem, its drivers, and strategies for moving forward for policy, practice, and research
In many protracted emergencies, the prevalence rates of global acute malnutrition (GAM) regularly exceed the emergency threshold of > 15% of children with acute malnutri
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tion (< -2 weight-for-height z-scores (WHZ) or with nutritional edema), despite ongoing humanitarian interventions. The widespread scale and long-lasting nature of “persistent GAM” means that it is a policy and programming priority.
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The Asthma Control Questionnaire (ACQ)1 was developed and validated to measure the primary clinical goal of asthma management as identified by international guidelines. They indicate that to achieve good control, treatment should minimise day and night time symptoms, activity limitation, airway narr
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owing and rescue bronchodilator use and thus reduce the risk of life-threatening exacerbations and long-term morbidity. The importance of including all aspects of control in the assessment of individual patients was emphasised by a recent factor analysis which showed that clinical asthma is composed of distinct components which are not closely correlated with each other.6 However, in some studies it may not be possible to collect airway calibre or short-acting β2-agonists data. Previous analysis of non-clinical trial data suggested that when ACQ scores are analysed as group data, the heterogeneity of the way in which individual patients present with inadequate control is lost in the estimation of the mean and the need to measure each individual component of asthma control may become unnecessary. In this analysis, ACQ data from a clinical trial was used to evaluate the measurement properties (reliability, responsiveness, validity and interpretability), of three shortened versions of the ACQ. In addition, we have examined whether the precision and accuracy of estimating the effect of the intervention on asthma control was maintained when the two questions concerning airway calibre and short-acting β2-agonists use were omitted from the trial analysis.
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This study aims to explore the impact on the lives of caregivers of
children with cerebral palsy.
ECDC launched the HEPSA (Health Emergency Preparedness Self-Assessment) tool, in order to support countries in improving their level of public health emergency preparedness. The tool is worksheet-based and is targeted at professionals in public health organisations responsible for emergency planning
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and event management. It consists of seven domains that define the process of public health emergency preparedness and response: 1) Pre-event preparations and governance; 2) Resources: Trained workforce; 3) Support capacity: Surveillance; 4) Support capacity: Risk assessment; 5) Event response management; 6) Post-event review; 7) Implementation of lessons learned.
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Zhou et al. Int J Ment Health Syst (2019) 13:10 https://doi.org/10.1186/s13033-019-0263-1