Renner Ade, Kirigia Joses M, Zere Eyob A, Barry Saidou P, Kirigia Doris G, Kamara Clifford, Muthuri Lenity H K
World Health Organization, Country Office, Freetown, Sierra Leone.
BMC Health Serv Res. 2005 Dec 14;5:77. doi: 10.1186/1472-6963-5-77.
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.
This study applied the Data Envelopment Analysis approach to investigate the TE and SE among a sample of 37 PHUs in Sierra Leone.
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%).
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.
数据包络分析(DEA)方法已在亚洲、欧洲和北美的许多国家得到有效应用,以揭示卫生设施和项目的效率。然而,撒哈拉以南非洲国家这类研究却很匮乏。由于医院和卫生中心是扩大旨在实现联合国千年发展目标的扶贫高性价比干预措施的重要工具,决策者需要确保这些卫生设施提供高效服务。本研究的目的是衡量塞拉利昂一些公共基层卫生单位(PHU)的技术效率(TE)和规模效率(SE)。
本研究采用数据包络分析方法调查塞拉利昂37个PHU样本中的TE和SE。
在分析的37个卫生单位中,有22个(59%)技术效率低下,平均得分63%(标准差 = 18%)。另一方面,有24个(65%)卫生单位规模效率低下,平均规模效率得分为72%(标准差 = 17%)。
得出的结论是,鉴于目前存在的高水平纯技术和规模无效率情况,扩大干预措施以实现全球和区域目标(如千年发展目标和阿布贾卫生目标)变得遥不可及。在一个人均卫生支出约为7美元且只有30%的人口能够获得卫生服务的国家,研究表明提高效率可显著增强政府满足民众未满足的医疗保健需求的举措。因此,我们强烈建议塞拉利昂和该地区的所有其他国家应在卫生部总部(MoH/HQ)和每个卫生区总部将卫生设施效率监测制度化。