4 research outputs found

    The Cost of Health-related Brain Drain to the WHO African Region

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    The African Region continues to experience loss of a sizeable number of highly skilled health professionals (physicians, nurses, dentists and pharmacists) to Australia, North America and European Union. Past attempts to estimate cost of migration were limited to education cost only and did not include the lost returns from investment. The objective of this study was to estimate the social cost of emigration of doctors and nurses from the African Region to the developed countries. The cost information used in this study was obtained from one nonprofit primary and secondary school and one public university in Kenya. The cost estimates represent unsubsidized cost. The loss incurred by African countries through emigration is obtained by compounding the cost of educating a medical doctor and a nurse over the period between the age of emigration and the retirement age in recipient countries. The main findings were as follows: total cost of educating a single medical doctor from primary school to university is US65,997;foreverydoctorthatemigrates,acountrylosesaboutUS65,997; for every doctor that emigrates, a country loses about US1,854,677 returns from investment; total cost of educating one nurse from primary school to college of health sciences is US43,180;foreverynursethatemigrates,acountrylosesaboutUS43,180; for every nurse that emigrates, a country loses about US1,213,463 returns from investment. Developed countries continue to deprive African countries of billions of dollars worth of invaluable investments embodied in their human resources. If the current trend of poaching of scarce human resources for health (and other professionals) from African countries is not curtailed, the chances of achieving the Millennium Development Goals would remain dismal. Such continued plunder of investments embodied in human resources contributes to further underdevelopment of Africa and to keeping majority of her people in the vicious circle of poverty. Therefore, both developed and developing countries need to urgently develop and implement strategies for addressing this issue

    E-health: Determinants, opportunities, challenges and the way forward for countries in the WHO African Region

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    BACKGROUND: The implementation of the 58(th )World Health Assembly resolution on e-health will pose a major challenge for the Member States of the World Health Organization (WHO) African Region due to lack of information and communications technology (ICT) and mass Internet connectivity, compounded by a paucity of ICT-related knowledge and skills. The key objectives of this article are to: (i) explore the key determinants of personal computers (PCs), telephone mainline and cellular and Internet penetration/connectivity in the African Region; and (ii) to propose actions needed to create an enabling environment for e-health services growth and utilization in the Region. METHODS: The effects of school enrolment, per capita income and governance variables on the number of PCs, telephone mainlines, cellular phone subscribers and Internet users were estimated using a double-log regression model and cross-sectional data on various Member States in the African Region. The analysis was based on 45 of the 46 countries that comprise the Region. The data were obtained from the United Nations Development Programme (UNDP), the World Bank and the International Telecommunications Union (ITU) sources. RESULTS: There were a number of main findings: (i) the adult literacy and total number of Internet users had a statistically significant (at 5% level in a t-distribution test) positive effect on the number of PCs in a country; (ii) the combined school enrolment rate and per capita income had a statistically significant direct effect on the number of telephone mainlines and cellular telephone subscribers; (iii) the regulatory quality had statistically significant negative effect on the number of telephone mainlines; (iv) similarly, the combined school enrolment ratio and the number of telephone mainlines had a statistically significant positive relationship with Internet usage; and (v) there were major inequalities in ICT connectivity between upper-middle, lower-middle and low income countries in the Region. By focusing on the adoption of specific technologies we attempted to interpret correlates in terms of relationships instead of absolute "causals". CONCLUSION: In order to improve access to health care, especially for the majority of Africans living in remote rural areas, there is need to boost the availability and utilization of e-health services. Thus, universal access to e-health ought to be a vision for all countries in the African Region. Each country ought to develop a road map in a strategic e-health plan that will, over time, enable its citizens to realize that vision

    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

    Technical efficiency of peripheral health units in Pujehun district of Sierra Leone: a DEA application

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    BACKGROUND: The Data Envelopment Analysis (DEA) method has been fruitfully used in many countries in Asia, Europe and North America to shed light on the efficiency of health facilities and programmes. There is, however, a dearth of such studies in countries in sub-Saharan Africa. Since hospitals and health centres are important instruments in the efforts to scale up pro-poor cost-effective interventions aimed at achieving the United Nations Millennium Development Goals, decision-makers need to ensure that these health facilities provide efficient services. The objective of this study was to measure the technical efficiency (TE) and scale efficiency (SE) of a sample of public peripheral health units (PHUs) in Sierra Leone. METHODS: This study applied the Data Envelopment Analysis approach to investigate the TE and SE among a sample of 37 PHUs in Sierra Leone. RESULTS: Twenty-two (59%) of the 37 health units analysed were found to be technically inefficient, with an average score of 63% (standard deviation = 18%). On the other hand, 24 (65%) health units were found to be scale inefficient, with an average scale efficiency score of 72% (standard deviation = 17%). CONCLUSION: It is concluded that with the existing high levels of pure technical and scale inefficiency, scaling up of interventions to achieve both global and regional targets such as the MDG and Abuja health targets becomes far-fetched. In a country with per capita expenditure on health of about US$7, and with only 30% of its population having access to health services, it is demonstrated that efficiency savings can significantly augment the government's initiatives to cater for the unmet health care needs of the population. Therefore, we strongly recommend that Sierra Leone and all other countries in the Region should institutionalise health facility efficiency monitoring at the Ministry of Health headquarter (MoH/HQ) and at each health district headquarter
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