Curricular Modules for Lecturers and Teachers.
The 2nd edition of the Global Public Health Curriculum has been published in the South Eastern European Journal of Public Health, end of 2016 as a special volume . The curriculum targets the postgraduate education and training of public health professi...onals including their continued professional development (CPD). However, specific competences for the curricular modules remained to be identified in a more systematic approach
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The HEARTS technical package provides a strategic approach to improving cardiovascular health in countries. It comprises six modules and an implementation guide. This package supports Ministries of Health to strengthen CVD management in primary health care settings. The practical, step-by step modul...es are supported by an overarching technical document that provides a rationale and framework for this integrated approach to the management of NCDs.
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This study aimed to estimate the proportion of Mozambicans eligible for pharmacological treatment for hypertension according to single risk factor and total cardiovascular risk approaches. It concluded that a total of 19.8% of 40–64-year-olds would be eligible for pharmacological treatment of hype...rtension according to the WHO guidelines, all of whom had SBP/DBP at least 160/100 mmHg.
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This report uses the Food Systems Dashboard’s conceptual framework to
define and describe food systems. It summarizes the components, drivers,
and outcomes of food systems. The report also describes the food system
typologies used in the Dashboard
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...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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Socioeconomic status is associated with differences in risk factors for cardiovascular disease incidence and outcomes, including mortality. However, it is unclear whether the associations between cardiovascular disease and common measures of socioeconomic status—wealth and education—differ among... high-income, middle-income, and low-income countries, and, if so, why these differences exist. We explored the association between education and household wealth and cardiovascular disease and mortality to assess which marker is the stronger predictor of outcomes, and examined whether any differences in cardiovascular disease by socioeconomic status parallel differences in risk factor levels or differences in management.
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The incidence and mortality of cardiovascular diseases (CVDs) in low and middle income countries (LMICs) have been increasing, while access to CVDs medicines is suboptimal. We assessed selection of essential medicines for the prevention and treatment of CVDs on national essential medicines lists (NE...MLs) of LMICs and potential determinants for selection.
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While epidemiological data for type 1 diabetes (T1D) in low/middle-income countries, and particularly low-income countries (LICs) including Liberia is lacking, prevalence in LICs is thought to be increasing. T1D care in LICs is often impacted by challenges in diagnosis and management. These challeng...es, including misdiagnosis and access to insulin, can affect T1D outcomes and frequency of severe complications. Despite the severe nature of T1D and growing burden in subSaharan Africa, little is currently known about the impact of T1D on patients and caregivers in the region. Methods We conducted a qualitative study consisting of interviews with patients with T1D, caregivers, providers, civil society members and a policy-maker in Liberia to better understand the psychosocial and economic impact of living with T1D, knowledge of T1D and selfmanagement, and barriers and facilitators for accessing T1D care.
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