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      WHO's budgetary allocations and burden of disease: a comparative analysis

      research-article
        , MPH a , b , * , , PhD b , , MPhil b , , Prof, MD c
      Lancet (London, England)
      Elsevier Ltd.

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          Summary

          Background

          Ministers of health, donor agencies, philanthropists, and international agencies will meet at Bamako, Mali, in November, 2008, to review global priorities for health research. These individuals and organisations previously set health priorities for WHO, either through its regular budget or extra-budgetary funds. We asked what insights can be gained as to their priorities from previous decisions within the context of WHO.

          Methods

          We compared the WHO biennial budgetary allocations with the burden of disease from 1994–95 to 2008–09. We obtained data from publicly available WHO sources and examined whether WHO allocations varied with the burden of disease (defined by death and disability-adjusted life years) by comparing two WHO regions—Western Pacific and Africa—that are at differing stages of epidemiological transition. We further assessed whether the allocations differed on the basis of the source of funds (assessed and voluntary contributions) and the mechanism for deciding how funds were spent.

          Findings

          We noted that WHO budget allocations were heavily skewed toward infectious diseases. In 2006–07, WHO allocated 87% of its total budget to infectious diseases, 12% to non-communicable diseases, and less than 1% to injuries and violence. We recorded a similar distribution of funding in Africa, where nearly three-quarters of mortality is from infectious disease, and in Western Pacific, where three-quarters of mortality is from non-communicable disease. In both regions, injuries received only 1% of total resources. The skew towards infectious diseases was substantially greater for the WHO extra-budget, which is allocated by donors and has risen greatly in recent years, than for the WHO regular budget, which is decided on by member states through democratic mechanisms and has been held at zero nominal growth.

          Interpretation

          Decision makers at Bamako should consider the implications of the present misalignment of global health priorities and disease burden for health research worldwide. Funds allocated by external donors substantially differ from those allocated by WHO member states. The meeting at Bamako provides an opportunity to consider how this disparity might be addressed.

          Funding

          None.

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          Most cited references10

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          Chronic disease prevention: health effects and financial costs of strategies to reduce salt intake and control tobacco use.

          In 2005, WHO set a global goal to reduce rates of death from chronic (non-communicable) disease by an additional 2% every year. To this end, we investigated how many deaths could potentially be averted over 10 years by implementation of selected population-based interventions, and calculated the financial costs of their implementation. We selected two interventions: to reduce salt intake in the population by 15% and to implement four key elements of the WHO Framework Convention on Tobacco Control (FCTC). We used methods from the WHO Comparative Risk Assessment project to estimate shifts in the distribution of risk factors associated with salt intake and tobacco use, and to model the effects on chronic disease mortality for 23 countries that account for 80% of chronic disease burden in the developing world. We showed that, over 10 years (2006-2015), 13.8 million deaths could be averted by implementation of these interventions, at a cost of less than US$0.40 per person per year in low-income and lower middle-income countries, and US$0.50-1.00 per person per year in upper middle-income countries (as of 2005). These two population-based intervention strategies could therefore substantially reduce mortality from chronic diseases, and make a major (and affordable) contribution towards achievement of the global goal to prevent and control chronic diseases.
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            Prevention of cardiovascular disease in high-risk individuals in low-income and middle-income countries: health effects and costs.

            In 2005, a global goal of reducing chronic disease death rates by an additional 2% per year was established. Scaling up coverage of evidence-based interventions to prevent cardiovascular disease in high-risk individuals in low-income and middle-income countries could play a major part in reaching this goal. We aimed to estimate the number of deaths that could be averted and the financial cost of scaling up, above current coverage levels, a multidrug regimen for prevention of cardiovascular disease (a statin, aspirin, and two blood-pressure-lowering medicines) in 23 such countries. Identification of individuals was limited to those already accessing health services, and treatment eligibility was based on the presence of existing cardiovascular disease or absolute risk of cardiovascular disease by use of easily measurable risk factors. Over a 10-year period, scaling up this multidrug regimen could avert 17.9 million deaths from cardiovascular disease (95% uncertainty interval 7.4 million-25.7 million). 56% of deaths averted would be in those younger than 70 years, with more deaths averted in women than in men owing to larger absolute numbers of women at older ages. The 10-year financial cost would be US$47 billion ($33 billion-$61 billion) or an average yearly cost per head of $1.08 ($0.75-1.40), ranging from $0.43 to $0.90 across low-income countries and from $0.54 to $2.93 across middle-income countries. This package could effectively meet three-quarters of the proposed global goal with a moderate increase in health expenditure.
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              Distribution of blood pressure, body mass index and smoking habits in the urban population of Dar es Salaam, Tanzania, and associations with socioeconomic status.

              To estimate the distribution of blood pressure (BP), body mass index (BMI), smoking habits and their associations with socioeconomic status (SES) in an urban population in early epidemiological transition. Cross-sectional survey of the entire population aged 25-64 years in five branches of Dar es Salaam (Tanzania) through visits to all homes in the study area. Blood pressure was based on the mean of the second and third readings with an automated device. Socioeconomic status was estimated with indicators of education, occupation and wealth. In all 9254 people were examined. Age-adjusted prevalence (%) among men/ women aged 35-64 years was 27.1/30.2 for BP > or = 140/90 mmHg or antihypertensive medication, 13.1/17.7 for BP > or = 160/95 mmHg or antihypertensive medication, 28.0/27.4 for BMI of 25.0-29.9 kg/m(2), 6.9/17.4 for BMI > or = 30 kg/m(2), and 22.0/2.6 for smoking (> or = 1 cigarette per day). Prevalence of categories of drinking frequency and history of diabetes are also reported. After adjustment for covariates, SES was associated inversely with BP and smoking and directly with BMI. Body mass index was associated positively with BP (1.01 and 0.91 mmHg systolic BP per 1 kg/m(2) BMI in men and women, respectively) and inversely with smoking (-1.14 kg/m(2) in male smokers versus non-smokers). Hypertension treatment rates were low, particularly in people of low SES. High prevalence of several cardiovascular risk factors in the urban population of a low-income country stresses the need for early public health interventions and adaptation of the health care infrastructure to meet the emerging challenge of cardiovascular disease. The direct SES-BMI association may drive increasing BMI and BP while the population becomes more affluent.
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                Author and article information

                Contributors
                Journal
                Lancet
                Lancet
                Lancet (London, England)
                Elsevier Ltd.
                0140-6736
                1474-547X
                30 October 2008
                1-7 November 2008
                30 October 2008
                : 372
                : 9649
                : 1563-1569
                Affiliations
                [a ]Department of Sociology, University of Oxford, Oxford, UK
                [b ]Department of Sociology, Faculty of Social and Political Sciences, University of Cambridge, Cambridge, UK
                [c ]European Centre on Health of Societies in Transition, London School of Hygiene and Tropical Medicine, London, UK
                Author notes
                [* ]Correspondence to: David Stuckler, Department of Sociology, University of Oxford, Christ Church, Oxford OX1 1DP, UK david.stuckler@ 123456chch.ox.ac.uk
                Article
                S0140-6736(08)61656-6
                10.1016/S0140-6736(08)61656-6
                7159087
                18984189
                62a57c09-d2a7-4b69-9d14-7b7d3d757636
                Copyright © 2008 Elsevier Ltd. All rights reserved.

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