19 research outputs found

    Africa's health: could the private sector accelerate the progress towards health MDGs?

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    <p>Abstract</p> <p>Background</p> <p>Out of 1.484 billion disability-adjusted life years lost globally in 2008, 369.1 million (25%) were lost in the WHO African Region. Despite the heavy disease burden, the majority of countries in the Region are not on track to achieve Millennium Development Goals (MDG) 4 (reducing child mortality), 5 (improving maternal health), and 6 (combating HIV/AIDS, malaria and other diseases). This article provides an overview of the state of public health, summarizes 2010-2015 WHO priorities, and explores the role that private sector could play to accelerate efforts towards health MDGs in the African Region.</p> <p>Discussion</p> <p>Of the 752 total resolutions adopted by the WHO Regional Committee for Africa (RC) between years 1951 and 2010, 45 mention the role of the private sector. We argue that despite the rather limited role implied in RC resolutions, the private sector has a pivotal role in supporting the achievement of health MDGs, and articulating efforts with 2010-2015 priorities for WHO in the African Region: provision of normative and policy guidance as well as strengthening partnerships and harmonization; supporting the strengthening of health systems based on the Primary Health Care approach; putting the health of mothers and children first; accelerating actions on HIV/AIDS, malaria and tuberculosis; intensifying the prevention and control of communicable and noncommunicable diseases; and accelerating response to the determinants of health.</p> <p>Conclusion</p> <p>The very high maternal and children mortality, very high burden of communicable and non-communicable diseases, health systems challenges, and inter-sectoral issues related to key determinants of health are too heavy for the public sector to address alone. Therefore, there is clear need for the private sector, given its breadth, scope and size, to play a more significant role in supporting governments, communities and partners to develop and implement national health policies and strategic plans; strengthen health systems capacities; and implement roadmaps for accelerating the attainment of health MDGs relating to maternal and child health, reducing disease burden, and promoting social determinants of health.</p> <p>In order for governments to further explore the potential benefits of the private sector towards improved performance of health systems, there is need for accurate evidence on the private sector capacity in areas of prevention, promotion, treatment and rehabilitation; dialogue and negotiation; clear definition of roles and responsibilities; and regulatory frameworks.</p

    Cost of mental and behavioural disorders in Kenya

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    BACKGROUND: The health and economic impact of mental and behavioural disorders (MBD) is wide-ranging, long-lasting and large. Unfortunately, unlike in developed countries where studies on the economic burden of MBD exist, there is a dearth of such studies in the African Region of the World Health Organization. Yet, a great need for such information exists for use in sensitizing policy-makers in governments and civil society about the magnitude and complexity of the economic burden of MBD. The purpose of this study was to answer the following question: From the societal perspective (specifically the families and the Ministry of Health), what is the total cost of MBD patients admitted to various public hospitals in Kenya? METHODS: Drawing information from various secondary sources, this study used standard cost-of-illness methods to estimate: (a) the direct costs, i.e. those borne by the health care system and the family in directly addressing the problem of MBD; and (b) the indirect costs, i.e. loss of productivity caused by MBD, which is borne by the individual, the family or the employer. The study was based on Kenyan public hospitals, either dedicated to care of MBD patients or with a MBD ward. RESULTS: The study revealed that: (i) in the financial year 1998/99, the Kenyan economy lost approximately US13,350,840duetoinstitutionalizedMBDpatients;(ii)thetotaleconomiccostofMBDperadmissionwasUS13,350,840 due to institutionalized MBD patients; (ii) the total economic cost of MBD per admission was US2,351; (iii) the unit cost of operating and organizing psychiatric services per admission was US1,848;(iv)theoutofpocketexpensesbornebypatientsandtheirfamiliesperadmissionwasUS1,848; (iv) the out-of-pocket expenses borne by patients and their families per admission was US51; and (v) the productivity loss per admission was US$453. CONCLUSIONS: There is an urgent need for research in all African countries to determine: national-level epidemiological burden of MBD, measured in terms of the prevalence, incidence, mortality, and, probably, the disability-adjusted life-years lost; and the economic burden of MBD, broken down by different productive and social sectors and occupations of patients and relatives

    Economic burden of diabetes mellitus in the WHO African region

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    <p>Abstract</p> <p>Background</p> <p>In 2000, the prevalence of diabetes among the 46 countries of the WHO African Region was estimated at 7.02 million people. Evidence from North America, Europe, Asia, Latin America and the Caribbean indicates that diabetes exerts a heavy health and economic burden on society. Unfortunately, there is a dearth of such evidence in the WHO African Region. The objective of this study was to estimate the economic burden associated with diabetes mellitus in the countries in the African Region.</p> <p>Methods</p> <p>Drawing information from various secondary sources, this study used standard cost-of-illness methods to estimate: (a) the direct costs, i.e. those borne by the health systems and the families in directly addressing the problem; and (b) the indirect costs, i.e. the losses in productivity attributable to premature mortality, permanent disability and temporary disability caused by the disease. Prevalence estimates of diabetes for the year 2000 were used to calculate direct and indirect costs of diabetes mellitus. A discount rate of 3% was used to convert future earnings lost into their present values. The economic burden analysis was done for three groups of countries, i.e. 6 countries whose gross national income (GNI) per capita was greater than 8000 international dollars (i.e. in purchasing power parity), 6 countries with Int20007999and33countrieswithlessthanInt2000–7999 and 33 countries with less than Int2000. GNI for Zimbabwe was missing.</p> <p>Results</p> <p>The 7.02 million cases of diabetes recorded by countries of the African Region in 2000 resulted in a total economic loss of Int25.51billion(PPP).Approximately43.6525.51 billion (PPP). Approximately 43.65%, 10.03% and 46.32% of that loss was incurred by groups 1, 2 and 3 countries, respectively. This translated into grand total economic loss of Int11,431.6, Int4,770.6andInt4,770.6 and Int 2,144.3 per diabetes case per year in the three groups respectively.</p> <p>Conclusion</p> <p>In spite of data limitations, the estimates reported here show that diabetes imposes a substantial economic burden on countries of the WHO African Region. That heavy burden underscores the urgent need for increased investments in the prevention and management of diabetes.</p

    Technical efficiency of primary health units in Kailahun and Kenema districts of Sierra Leone

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    <p>Abstract</p> <p>Background</p> <p>The objectives of the study reported in this paper were to (i) estimate the technical efficiency of samples of community health centres (CHCs), community health posts (CHPs) and maternal and child health posts (MCHPs) in Kailahun and Kenema districts of Sierra Leone, (ii) estimate the output increases needed to make inefficient MCHPs, CHCs and CHPs efficient, and (iii) explore strategies for increasing technical efficiency of these institutions.</p> <p>Methods</p> <p>This study applies the data envelopment analysis (DEA) approach to analyse technical efficiency of random samples of 36 MCHPs, 22 CHCs and 21 CHPs using input and output data for 2008.</p> <p>Results</p> <p>The findings indicate that 77.8% of the MCHPs, 59.1% of the CHCs and 66.7% of the CHPs were variable returns to scale technically inefficient. The average variable returns to scale technical efficiency was 68.2% (SD = 27.2) among the MCHPs, 69.2% (SD = 33.2) among the CHCs and 59% (SD = 34.7) among the CHPs.</p> <p>Conclusion</p> <p>This study reveals significant technical inefficiencies in the use of health system resources among peripheral health units in Kailahun and Kenema districts of Sierra Leone. There is need to strengthen national and district health information systems to routinely track the quantities and prices of resources injected into the health care systems and health service outcomes (indicators of coverage, quality and health status) to facilitate regular efficiency analyses.</p

    Determinants of health insurance ownership among South African women

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    BACKGROUND: Studies conducted in developed countries using economic models show that individual- and household- level variables are important determinants of health insurance ownership. There is however a dearth of such studies in sub-Saharan Africa. The objective of this study was to examine the relationship between health insurance ownership and the demographic, economic and educational characteristics of South African women. METHODS: The analysis was based on data from a cross-sectional national household sample derived from the South African Health Inequalities Survey (SANHIS). The study subjects consisted of 3,489 women, aged between 16 and 64 years. It was a non-interventional, qualitative response econometric study. The outcome measure was the probability of a respondent's ownership of a health insurance policy. RESULTS: The χ(2 )test for goodness of fit indicated satisfactory prediction of the estimated logit model. The coefficients of the covariates for area of residence, income, education, environment rating, age, smoking and marital status were positive, and all statistically significant at p ≤ 0.05. Women who had standard 10 education and above (secondary), high incomes and lived in affluent provinces and permanent accommodations, had a higher likelihood of being insured. CONCLUSION: Poverty reduction programmes aimed at increasing women's incomes in poor provinces; improving living environment (e.g. potable water supplies, sanitation, electricity and housing) for women in urban informal settlements; enhancing women's access to education; reducing unemployment among women; and increasing effective coverage of family planning services, will empower South African women to reach a higher standard of living and in doing so increase their economic access to health insurance policies and the associated health services

    Impact of disaster-related mortality on gross domestic product in the WHO African Region

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    BACKGROUND: Disaster-related mortality is a growing public health concern in the African Region. These deaths are hypothesized to have a significantly negative effect on per capita gross domestic product (GDP). The objective of this study was to estimate the loss in GDP attributable to natural and technological disaster-related mortality in the WHO African Region. METHODS: The impact of disaster-related mortality on GDP was estimated using double-log econometric model and cross-sectional data on various Member States in the WHO African Region. The analysis was based on 45 of the 46 countries in the Region. The data was obtained from various UNDP and World Bank publications. RESULTS: The coefficients for capital (K), educational enrolment (EN), life expectancy (LE) and exports (X) had a positive sign; while imports (M) and disaster mortality (DS) were found to impact negatively on GDP. The above-mentioned explanatory variables were found to have a statistically significant effect on GDP at 5% level in a t-distribution test. Disaster mortality of a single person was found to reduce GDP by US$0.01828. CONCLUSIONS: We have demonstrated that disaster-related mortality has a significant negative effect on GDP. Thus, as policy-makers strive to increase GDP through capital investment, export promotion and increased educational enrolment, they should always keep in mind that investments made in the strengthening of national capacity to mitigate the effects of national disasters expeditiously and effectively will yield significant economic returns

    Economic burden of cholera in the WHO African region

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    <p>Abstract</p> <p>Background</p> <p>In 2007, various countries around the world notified 178677 cases of cholera and 4033 cholera deaths to the World Health Organization (WHO). About 62% of those cases and 56.7% of deaths were reported from the WHO African Region alone. To date, no study has been undertaken in the Region to estimate the economic burden of cholera for use in advocacy for its prevention and control. The objective of this study was to estimate the direct and indirect cost of cholera in the WHO African Region.</p> <p>Methods</p> <p>Drawing information from various secondary sources, this study used standard cost-of-illness methods to estimate: (a) the direct costs, i.e. those borne by the health-care system and the family in directly addressing cholera; and (b) the indirect costs, i.e. loss of productivity caused by cholera, which is borne by the individual, the family or the employer. The study was based on the number of cholera cases and deaths notified to the World Health Organization by countries of the WHO African Region.</p> <p>Results</p> <p>The 125018 cases of cholera notified to WHO by countries of the African Region in 2005 resulted in a real total economic loss of US39million,US39 million, US 53.2 million and US64.2million,assumingaregionallifeexpectanciesof40,53and73yearsrespectively.The203,564casesofcholeranotifiedin2006ledtoatotaleconomiclossUS64.2 million, assuming a regional life expectancies of 40, 53 and 73 years respectively. The 203,564 cases of cholera notified in 2006 led to a total economic loss US91.9 million, US128.1millionandUS128.1 million and US156 million, assuming life expectancies of 40, 53 and 73 years respectively. The 110,837 cases of cholera notified in 2007 resulted in an economic loss of US43.3million,US43.3 million, US60 million and US$72.7 million, assuming life expectancies of 40, 53 and 73 years respectively.</p> <p>Conclusion</p> <p>There is an urgent need for further research to determine the national-level economic burden of cholera, disaggregated by different productive and social sectors and occupations of patients and relatives, and national-level costs and effectiveness of alternative ways of scaling up population coverage of potable water and clean sanitation facilities.</p

    Mortality from gastrointestinal congenital anomalies at 264 hospitals in 74 low-income, middle-income, and high-income countries: a multicentre, international, prospective cohort study

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    Summary Background Congenital anomalies are the fifth leading cause of mortality in children younger than 5 years globally. Many gastrointestinal congenital anomalies are fatal without timely access to neonatal surgical care, but few studies have been done on these conditions in low-income and middle-income countries (LMICs). We compared outcomes of the seven most common gastrointestinal congenital anomalies in low-income, middle-income, and high-income countries globally, and identified factors associated with mortality. Methods We did a multicentre, international prospective cohort study of patients younger than 16 years, presenting to hospital for the first time with oesophageal atresia, congenital diaphragmatic hernia, intestinal atresia, gastroschisis, exomphalos, anorectal malformation, and Hirschsprung’s disease. Recruitment was of consecutive patients for a minimum of 1 month between October, 2018, and April, 2019. We collected data on patient demographics, clinical status, interventions, and outcomes using the REDCap platform. Patients were followed up for 30 days after primary intervention, or 30 days after admission if they did not receive an intervention. The primary outcome was all-cause, in-hospital mortality for all conditions combined and each condition individually, stratified by country income status. We did a complete case analysis. Findings We included 3849 patients with 3975 study conditions (560 with oesophageal atresia, 448 with congenital diaphragmatic hernia, 681 with intestinal atresia, 453 with gastroschisis, 325 with exomphalos, 991 with anorectal malformation, and 517 with Hirschsprung’s disease) from 264 hospitals (89 in high-income countries, 166 in middleincome countries, and nine in low-income countries) in 74 countries. Of the 3849 patients, 2231 (58·0%) were male. Median gestational age at birth was 38 weeks (IQR 36–39) and median bodyweight at presentation was 2·8 kg (2·3–3·3). Mortality among all patients was 37 (39·8%) of 93 in low-income countries, 583 (20·4%) of 2860 in middle-income countries, and 50 (5·6%) of 896 in high-income countries (p<0·0001 between all country income groups). Gastroschisis had the greatest difference in mortality between country income strata (nine [90·0%] of ten in lowincome countries, 97 [31·9%] of 304 in middle-income countries, and two [1·4%] of 139 in high-income countries; p≤0·0001 between all country income groups). Factors significantly associated with higher mortality for all patients combined included country income status (low-income vs high-income countries, risk ratio 2·78 [95% CI 1·88–4·11], p<0·0001; middle-income vs high-income countries, 2·11 [1·59–2·79], p<0·0001), sepsis at presentation (1·20 [1·04–1·40], p=0·016), higher American Society of Anesthesiologists (ASA) score at primary intervention (ASA 4–5 vs ASA 1–2, 1·82 [1·40–2·35], p<0·0001; ASA 3 vs ASA 1–2, 1·58, [1·30–1·92], p<0·0001]), surgical safety checklist not used (1·39 [1·02–1·90], p=0·035), and ventilation or parenteral nutrition unavailable when needed (ventilation 1·96, [1·41–2·71], p=0·0001; parenteral nutrition 1·35, [1·05–1·74], p=0·018). Administration of parenteral nutrition (0·61, [0·47–0·79], p=0·0002) and use of a peripherally inserted central catheter (0·65 [0·50–0·86], p=0·0024) or percutaneous central line (0·69 [0·48–1·00], p=0·049) were associated with lower mortality. Interpretation Unacceptable differences in mortality exist for gastrointestinal congenital anomalies between lowincome, middle-income, and high-income countries. Improving access to quality neonatal surgical care in LMICs will be vital to achieve Sustainable Development Goal 3.2 of ending preventable deaths in neonates and children younger than 5 years by 2030

    Impact of HIV/AIDS on Gross Domestic Product (GGP) in the WHO Africa Region

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    HIV/AIDS is hypothesized to have substantive negative impact on health status and economic development of individuals, households, communities and nations. The objective of this study was to estimate the burden of HIV/AIDS on GDP in the WHO African Region using a production function approach. The economic burden analysis was done using a double-log econometric model and a cross-sectional data on 45 to 46 countries in the WHO African Region. The data were obtained from WHO, UNAIDS, ECA, UNDP and the World Bank publications. The coefficient for Capital (K), Education (EN), Export (X) and Imports (M) were found to be statistically significant determinants of per capita Gross Domestic Product (GDP) at 5% level of significance (using a one-sided t-distribution test). Unfortunately, HIV/AIDS morbidity (V) and HIV/AIDS deaths (VD), at the same level of significance, were found to have statistically insignificant impact on GDP. However, the coefficients of these variables had negative signs as expected. In all African countries, there is need for more detailed research on the total economic cost of HIV/AIDS (probably estimated using micro-level costing and willingness-to-pay methods) and for economic evaluations of treatment, prevention and promotion programmes. [Afr. J. Health Sci. 2002; 9: 27-39
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