拉丁美洲和加勒比国家的医疗保健系统效率分析:基于数据包围分析的应用程序
Igor Tona Peres1, Lucas da Cunha Braga1, Leonardo Dos Santos Lourenço Bastos1
1Department of Industrial Engineering, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Value in health regional issues
|January 13, 2025
概括
拉丁美洲的医疗保健系统在资源使用方面表现出不同的效率. 数据包围分析 (DEA) 确定了13个有效的国家,突出了改善人口健康结果的机会.
科学领域:
- 卫生经济学 卫生经济学
- 公共卫生政策 公共卫生政策
- 医疗保健服务研究 医疗服务研究
背景情况:
- 拉丁美洲的医疗保健投资并没有带来相应的人口健康改善.
- 资源利用的低效率是这种差异的一个潜在原因.
- 评估医疗保健系统的效率对于优化资源配置至关重要.
研究的目的:
- 通过使用数据包围分析 (DEA) 来评估23个拉丁美洲和加勒比国家医疗保健系统的效率.
- 确定影响医疗保健系统效率的因素,并分析时间趋势.
主要方法:
- 雇员数据包围分析 (DEA) 使用世界银行2017年数据.
- 输入变量包括医疗保健支出,医院病床,医生和护士每1000名居民.
- 输出变量是出生时的预期寿命和婴儿死亡率;进行了灵敏度和回归分析.
主要成果:
- 在23个国家中,有13个国家根据DEA模型被归类为高效.
- 十个国家 (比利兹,智利,哥伦比亚,哥斯达黎加,古巴,危地马拉,洪都拉斯,牙买加,墨西哥,秘鲁) 在10年内保持了效率.
- 巴巴多斯,巴西,尼加拉瓜和乌拉圭一直是低效的.
结论:
- 该研究为拉丁美洲和加勒比国家提供了一个框架,以加强资源管理.
- 提高效率可以带来更好的质量和更公平的医疗保健服务.
- 解决资源利用问题是实现更好的人口健康的关键,尽管存在经济限制.
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