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1.
BMC Int Health Hum Rights ; 9: 8, 2009 Apr 30.
Article in English | MEDLINE | ID: mdl-19405948

ABSTRACT

BACKGROUND: 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. 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 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. RESULTS: The 125018 cases of cholera notified to WHO by countries of the African Region in 2005 resulted in a real total economic loss of US$39 million, US$ 53.2 million and US$64.2 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 US$91.9 million, US$128.1 million and US$156 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 US$43.3 million, US$60 million and US$72.7 million, assuming life expectancies of 40, 53 and 73 years respectively. CONCLUSION: 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.

2.
BMC Health Serv Res ; 5: 77, 2005 Dec 14.
Article in English | MEDLINE | ID: mdl-16354299

ABSTRACT

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 USD 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 institutionalize health facility efficiency monitoring at the Ministry of Health headquarter (MoH/HQ) and at each health district headquarter.


Subject(s)
Benchmarking/methods , Community Health Centers/organization & administration , Efficiency, Organizational/statistics & numerical data , Management Audit , Primary Health Care/organization & administration , Public Health Administration/standards , Cost-Benefit Analysis , Health Policy , Health Services Accessibility , Health Services Research , Humans , Logistic Models , Models, Statistical , Organizational Objectives , Sierra Leone , Total Quality Management
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