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Toolboxes
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Accessed on 31.03.2023
COUNTDOWN Nigeria has applied a Participatory Action Research (PAR) approach to improve equity of Mass Administration of Medicines (MAM) and inform Neglected Tropical Disease (NTD) policy through an enhanced community engagement strategy. A situational analysis conducted i
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n 2016 identified community engagement as a
bottleneck to achieving equitable coverage of MAM within different and emerging contexts (border, migrant, rural and urban) of Nigeria, related to programmatic, social, political and environmental changes over time See: (Dean et al., 2019), (Oluwole et al., 2019) and (Adekeye et al., 2019)
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The Transformation Agenda (TA) ushered in an ambitious reform process intended to transform the World Health Organization (WHO) into an organization that is proactive, results-driven, accountable and which meets stakeholder expectations, towards transforming and improving public health services in t
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he African Region. It aimed to achieve a WHO that is pro-results, which optimally and creatively targets technical work as well as make operations more responsive, with greater effectiveness in both communications and partnerships. The Africa Region has been the epicentre of the human immunodeficiency virus (HIV) epidemic and it’s one of the leading causes of disease and death on the continent. The WHO, with partners, has worked tirelessly for many years to control the threat and reduce the negative impact of the disease. Since the early 2000s, significant progress has been made in the global fight against the scourge of HIV. However, the WCA subregion was falling concerningly behind ESA on several key indicators of progress. In 2016, the WHO joined UNAIDS, UNICEF and other partners in a call for a strong and urgent response to support WCA countries to develop catch-up plans to triple and fast-track ART coverage, to enable the region to catch up with ESA by the end of 2020. Implementation of a widespread test-and-treat strategy, coupled with the scale-up of differentiated service delivery (DSD) and mobilization of requisite funding, accelerated WCA’s progress towards this goal. The HIV treatment catch-up and fast-track plan has achieved its target of seeing the West and Central African region (WCA) catch up with the Eastern and Southern African region’s (ESA) antiretroviral coverage rate of 78% in 2021, albeit later than the 2020 target time frame. A 33% improvement was achieved in WCA, against 21% in ESA, between 2015–2020. WCA achieved a significant 42% increase, compared to ESA’s 23%, between 2015 and 2021, to see WCA draw level with ESA at 78%. In the Democratic Republic of the Congo (DRC) alone, progress of up to 47% was observed between 2015 and 2020, for example. In addition, 1.6 million more People Living with HIV (PLHIV) were enrolled on antiretroviral treatment (ART) between 2015 and 2020.
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The Country Cooperation Strategy is the World Health Organization’s corporate framework developed in response to a country’s needs and priorities. The 2022–2025 CCS is the fourth for WHO in Sierra Leone. It is a medium-term strategic document that defines a broad framework for WHO’s work, at
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all levels, with the Government of Sierra Leone and all health partners for the next four years. This document is guided by the country’s major policy and strategy documents including the 2020 National Health and Sanitation Policy (NHSP); the 2021–2025 National Health Sector Strategic Plan (NHSSP); and the 2019–2023 National Medium-term Development Plan (NMTDP). The current CCS also reflects the broad priorities of WHO as outlined in its Thirteenth General Programme of Work (2019–2023, extended to 2025) with a focus on improving access to universal health coverage, protecting people from health emergencies, and improving people’s health and well-being. The CCS priorities are also in alignment with the United Nations Sustainable Development Cooperation Framework (UNSDCF) in Sierra Leone and will contribute to attaining the country's SDG targets
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The Mapping Antimicrobial Resistance and Antimicrobial Use Partnership (MAAP) project has conducted a multi-year, multi-country study that provides stark insights on the under-reported depth of the antimicrobial resistance (AMR) crisis across Africa and lays out urgent policy recommendations to addr
...
ess the emergency.
MAAP reviewed 819,584 AMR records from 2016-2019, from 205 laboratories across Burkina Faso, Cameroon, Eswatini, Gabon, Ghana, Kenya, Malawi, Nigeria, Senegal, Sierra Leone, Tanzania, Uganda, Zambia, and Zimbabwe. MAAP also reviewed data from 327 hospital and community pharmacies and 16 national-level AMC datasets.
more
The Mapping Antimicrobial Resistance and Antimicrobial Use Partnership (MAAP) project has conducted a multi-year, multi-country study that provides stark insights on the under-reported depth of the antimicrobial resistance (AMR) crisis across Africa and lays out urgent policy recommendations to addr
...
ess the emergency.
MAAP reviewed 819,584 AMR records from 2016-2019, from 205 laboratories across Burkina Faso, Cameroon, Eswatini, Gabon, Ghana, Kenya, Malawi, Nigeria, Senegal, Sierra Leone, Tanzania, Uganda, Zambia, and Zimbabwe. MAAP also reviewed data from 327 hospital and community pharmacies and 16 national-level AMC datasets.
more
The Mapping Antimicrobial Resistance and Antimicrobial Use Partnership (MAAP) project has conducted a multi-year, multi-country study that provides stark insights on the under-reported depth of the antimicrobial resistance (AMR) crisis across Africa and lays out urgent policy recommendations to addr
...
ess the emergency.
MAAP reviewed 819,584 AMR records from 2016-2019, from 205 laboratories across Burkina Faso, Cameroon, Eswatini, Gabon, Ghana, Kenya, Malawi, Nigeria, Senegal, Sierra Leone, Tanzania, Uganda, Zambia, and Zimbabwe. MAAP also reviewed data from 327 hospital and community pharmacies and 16 national-level AMC datasets.
more
The Mapping Antimicrobial Resistance and Antimicrobial Use Partnership (MAAP) project has conducted a multi-year, multi-country study that provides stark insights on the under-reported depth of the antimicrobial resistance (AMR) crisis across Africa and lays out urgent policy recommendations to addr
...
ess the emergency.
MAAP reviewed 819,584 AMR records from 2016-2019, from 205 laboratories across Burkina Faso, Cameroon, Eswatini, Gabon, Ghana, Kenya, Malawi, Nigeria, Senegal, Sierra Leone, Tanzania, Uganda, Zambia, and Zimbabwe. MAAP also reviewed data from 327 hospital and community pharmacies and 16 national-level AMC datasets.
more
The Mapping Antimicrobial Resistance and Antimicrobial Use Partnership (MAAP) project has conducted a multi-year, multi-country study that provides stark insights on the under-reported depth of the antimicrobial resistance (AMR) crisis across Africa and lays out urgent policy recommendations to addr
...
ess the emergency.
MAAP reviewed 819,584 AMR records from 2016-2019, from 205 laboratories across Burkina Faso, Cameroon, Eswatini, Gabon, Ghana, Kenya, Malawi, Nigeria, Senegal, Sierra Leone, Tanzania, Uganda, Zambia, and Zimbabwe. MAAP also reviewed data from 327 hospital and community pharmacies and 16 national-level AMC datasets.
more
The Mapping Antimicrobial Resistance and Antimicrobial Use Partnership (MAAP) project has conducted a multi-year, multi-country study that provides stark insights on the under-reported depth of the antimicrobial resistance (AMR) crisis across Africa and lays out urgent policy recommendations to addr
...
ess the emergency.
MAAP reviewed 819,584 AMR records from 2016-2019, from 205 laboratories across Burkina Faso, Cameroon, Eswatini, Gabon, Ghana, Kenya, Malawi, Nigeria, Senegal, Sierra Leone, Tanzania, Uganda, Zambia, and Zimbabwe. MAAP also reviewed data from 327 hospital and community pharmacies and 16 national-level AMC datasets.
more
The Mapping Antimicrobial Resistance and Antimicrobial Use Partnership (MAAP) project has conducted a multi-year, multi-country study that provides stark insights on the under-reported depth of the antimicrobial resistance (AMR) crisis across Africa and lays out urgent policy recommendations to addr
...
ess the emergency.
MAAP reviewed 819,584 AMR records from 2016-2019, from 205 laboratories across Burkina Faso, Cameroon, Eswatini, Gabon, Ghana, Kenya, Malawi, Nigeria, Senegal, Sierra Leone, Tanzania, Uganda, Zambia, and Zimbabwe. MAAP also reviewed data from 327 hospital and community pharmacies and 16 national-level AMC datasets.
more
The Mapping Antimicrobial Resistance and Antimicrobial Use Partnership (MAAP) project has conducted a multi-year, multi-country study that provides stark insights on the under-reported depth of the antimicrobial resistance (AMR) crisis across Africa and lays out urgent policy recommendations to addr
...
ess the emergency.
MAAP reviewed 819,584 AMR records from 2016-2019, from 205 laboratories across Burkina Faso, Cameroon, Eswatini, Gabon, Ghana, Kenya, Malawi, Nigeria, Senegal, Sierra Leone, Tanzania, Uganda, Zambia, and Zimbabwe. MAAP also reviewed data from 327 hospital and community pharmacies and 16 national-level AMC datasets.
more
The Mapping Antimicrobial Resistance and Antimicrobial Use Partnership (MAAP) project has conducted a multi-year, multi-country study that provides stark insights on the under-reported depth of the antimicrobial resistance (AMR) crisis across Africa and lays out urgent policy recommendations to addr
...
ess the emergency.
MAAP reviewed 819,584 AMR records from 2016-2019, from 205 laboratories across Burkina Faso, Cameroon, Eswatini, Gabon, Ghana, Kenya, Malawi, Nigeria, Senegal, Sierra Leone, Tanzania, Uganda, Zambia, and Zimbabwe. MAAP also reviewed data from 327 hospital and community pharmacies and 16 national-level AMC datasets.
more
The Mapping Antimicrobial Resistance and Antimicrobial Use Partnership (MAAP) project has conducted a multi-year, multi-country study that provides stark insights on the under-reported depth of the antimicrobial resistance (AMR) crisis across Africa and lays out urgent policy recommendations to addr
...
ess the emergency.
MAAP reviewed 819,584 AMR records from 2016-2019, from 205 laboratories across Burkina Faso, Cameroon, Eswatini, Gabon, Ghana, Kenya, Malawi, Nigeria, Senegal, Sierra Leone, Tanzania, Uganda, Zambia, and Zimbabwe. MAAP also reviewed data from 327 hospital and community pharmacies and 16 national-level AMC datasets.
more
I examine the effectiveness of donors in targeting the highest burden of malaria in the Democratic Republic of Congo when health information structure is fragmented. I exploit local variations in the burden of malaria induced by mining activities as well as financial and epidemiological data from he
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alth facilities to estimate how local aid is matching local health needs. Using a regression discontinuity design, I find significant but quantitatively small variations in aid to health facilities located within mining areas. Comparing local aid with the additional cost of treatment and prevention associated with the increased risk of malaria transmission, I find suggestive evidence that local populations with the highest burden of the disease receive a proportionately lower share of aid compared to neighbouring areas with reduced exposure to malaria infection. The evidence of disparities in the allocation of aid for malaria supports the view that donors may have inaccurate information about local population needs.
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People affected by impairments and disabilities associated with TB are even more likely to belong to marginalized segments of society and are more likely to have their human rights unprotected. The challenges faced by people affected by TB include the consequences of impairment and disability associ
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ated with the disease, its treatment as well as with the stigma and discrimination applied to people affected by TB. There is now compelling evidence that the disease and its treatment affect quality of life and life expectancy even after successful treatment.
The WHO Global Tuberculosis Programme has produced the first policy brief on TB-associated disability, building on the increasing evidence in recent years on the unaddressed needs of people with TB who experience impairment and disability while on TB treatment and after completing TB treatment.
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Unpreparedness of health professionals to address non-communicable diseases (NCD) at peripheral health facilities is a critical health system challenge in Mozambique. To address this weakness and decentralize NCD care, training of the primary care workforce is needed. We describe our experience in t
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he design and implementation of a cascade training of trainers (ToT) intervention to strengthen the prevention and control of cardiovascular disease.
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Cardiovascular diseases, principally ischemic heart disease (IHD), are the most important cause of death and disability in the majority of low- and lower-middle-income countries (LLMICs). In these countries, IHD mortality rates are significantly greater in individuals of a low socioeconomic status (
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SES).
Three important focus areas for decreasing IHD mortality among those of low SES in LLMICs are (1) acute coronary care; (2) cardiac rehabilitation and secondary prevention; and (3) primary prevention. Greater mortality in low SES patients with acute coronary syndrome is due to lack of awareness of symptoms in patients and primary care physicians, delay in reaching healthcare facilities, non-availability of thrombolysis and coronary revascularization, and the non-affordability of expensive medicines (statins, dual anti-platelets, renin-angiotensin system blockers). Facilities for rapid diagnosis and accessible and affordable long-term care at secondary and tertiary care hospitals for IHD care are needed. A strong focus on the social determinants of health (low education, poverty, working and living conditions), greater healthcare financing, and efficient primary care is required. The quality of primary prevention needs to be improved with initiatives to eliminate tobacco and trans-fats and to reduce the consumption of alcohol, refined carbohydrates, and salt along with the promotion of healthy foods and physical activity. Efficient primary care with a focus on management of blood pressure, lipids and diabetes is needed. Task sharing with community health workers, electronic decision support systems, and use of fixed-dose combinations of blood pressure-lowering drugs and statins can substantially reduce risk factors and potentially lead to large reductions in IHD. Finally, training of physicians, nurses, and health workers in IHD prevention should be strengthened.
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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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The cardiovascular disease continuum begins with risk factors such as diabetes mellitus (DM), progresses to vasculopathy and myocardial dysfunction, and finally ends with cardiovascular death. Diabetes is associated with a 2- to 4-fold increased risk for heart failure (HF). Moreover, HF patients wit
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h DM have a worse prognosis than those without DM. Diabetes can cause myocardial ischemia via micro- and macrovasculopathy and can directly exert deleterious effects on the myocardium. Hyperglycemia, hyperinsulinemia, and insulin resistance can cause alterations in vascular homeostasis. Then, reduced nitric oxide and increased reactive oxygen species levels favor inflammation leading to atherothrombotic progression and myocardial dysfunction. The classification, diagnosis, and treatment of HF for a patient with and without DM remain the same. Until now, drugs targeting neurohumoral and metabolic pathways improved mortality and morbidity in HF with reduced ejection fraction (HFrEF). Therefore, all HFrEF patients should receive guideline-directed medical therapy. By contrast, drugs modulating neurohumoral activity did not improve survival in HF with preserved ejection fraction (HFpEF) patients. Trials investigating whether sodium-glucose cotransporter-2 inhibitors are effective in HFpEF are on-going. This review will summarize the epidemiology, pathophysiology, and treatment of HF in diabetes.
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Non-communicable diseases (NCDs) are of increasing concern for society and national governments, as well as globally due to their high mortality rate. The main risk factors of NCDs can be classified into the categories of self-management, genetic factors, environmental factors, factors of medical co
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nditions, and socio-demographic factors.
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