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扩大埃塞俄比亚基本神经精神科服务:一项成本效益分析。

Scaling-up essential neuropsychiatric services in Ethiopia: a cost-effectiveness analysis.

作者信息

Strand Kirsten Bjerkreim, Chisholm Dan, Fekadu Abebaw, Johansson Kjell Arne

机构信息

Department of Global Public Health and Primary Care University of Bergen Postbox 7804, N- 5020 Bergen,

World Health Organization, Geneva, Switzerland.

出版信息

Health Policy Plan. 2016 May;31(4):504-13. doi: 10.1093/heapol/czv093. Epub 2015 Oct 21.

Abstract

INTRODUCTION

There is an immense need for scaling-up neuropsychiatric care in low-income countries. Contextualized cost-effectiveness analyses (CEAs) provide relevant information for local policies. The aim of this study is to perform a contextualized CEA of neuropsychiatric interventions in Ethiopia and to illustrate expected population health and budget impacts across neuropsychiatric disorders.

METHODS

A mathematical population model (PopMod) was used to estimate intervention costs and effectiveness. Existing variables from a previous WHO-CHOICE regional CEA model were substantially revised. Treatments for depression, schizophrenia, bipolar disorder and epilepsy were analysed. The best available local data on epidemiology, intervention efficacy, current and target coverage, resource prices and salaries were used. Data were obtained from expert opinion, local hospital information systems, the Ministry of Health and literature reviews.

RESULTS

Treatment of epilepsy with a first generation antiepileptic drug is the most cost-effective treatment (US$ 321 per DALY adverted). Treatments for depression have mid-range values compared with other interventions (US$ 457-1026 per DALY adverted). Treatments for schizophrenia and bipolar disorders are least cost-effective (US$ 1168-3739 per DALY adverted).

CONCLUSION

This analysis gives the Ethiopian government a comprehensive overview of the expected costs, effectiveness and cost-effectiveness of introducing basic neuropsychiatric interventions.

摘要

引言

低收入国家对扩大神经精神科护理的需求巨大。情境化成本效益分析(CEA)为地方政策提供相关信息。本研究旨在对埃塞俄比亚的神经精神科干预措施进行情境化CEA,并说明各类神经精神疾病预期的人群健康和预算影响。

方法

使用数学人群模型(PopMod)来估计干预成本和效果。对先前世卫组织-CHOICE区域CEA模型中的现有变量进行了大幅修订。分析了抑郁症、精神分裂症、双相情感障碍和癫痫的治疗方法。使用了关于流行病学、干预效果、当前和目标覆盖率、资源价格和薪资的最佳可用本地数据。数据来自专家意见、当地医院信息系统、卫生部和文献综述。

结果

使用第一代抗癫痫药物治疗癫痫是最具成本效益的治疗方法(每避免一个伤残调整生命年成本为321美元)。与其他干预措施相比,抑郁症治疗的成本效益处于中等水平(每避免一个伤残调整生命年成本为457 - 1026美元)。精神分裂症和双相情感障碍的治疗成本效益最低(每避免一个伤残调整生命年成本为1168 - 3739美元)。

结论

该分析为埃塞俄比亚政府提供了引入基本神经精神科干预措施的预期成本、效果和成本效益的全面概述。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90bc/4986243/a70ff8404e23/czv093f1p.jpg

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