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新农合对农民医疗服务利用和医疗支出的影响——基于5省份的面板数据
  • ISSN号:1674-2982
  • 期刊名称:《中国卫生政策研究》
  • 时间:0
  • 分类:TS974.1[轻工技术与工程] S851.6[农业科学—预防兽医学;农业科学—兽医学;农业科学—畜牧兽医]
  • 作者机构:[1]Center for Primary Care and Outcomes Research, Stanford University, Stanford, USA., [2]Center for Chinese Agricultural Policy, Institute of Geographical Sciences and Natural Resources Research,Chinese Academy of Sciences, Beijing, China.
  • 相关基金:The authors acknowledge the financial assistance of the National Natural Science Foundation of China (71103171 and 71033003), the Chinese Academy of Sciences (KZZD-EW-06-02), and the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences (2011RC 102).
中文摘要:

尽管有他们的最近的恶化,村庄诊所历史上是为穷人的护理的重要来源并且在农村中国老。在这份报纸,我们检验村庄诊所的当前的角色,使用他们和一些他们提供的服务的病人。我们在满足农村穷人的保健需要明确地集中于村庄诊所的角色并且老。我们发现尽管诊所持续财政上正在衰退,他们仍然是照顾的来源为农村老、差。我们估计老比年轻个人多半更是 1015% 在一个诊所寻求照顾。我们证明诊所提供许多唯一的服务支持农村老(并且老穷人) 例如在里面家病人照顾,为到信用上的薪水的病人的选择,和免费、打折的服务。

英文摘要:

Despite their recent deterioration, village clinics have historically been an important source of health care for the poor and elderly in rural China. In this paper, we examine the current role of village clinics, the patients who use them and some of the services they provide. We focus specifically on the role of village clinics in meeting the health-care needs of the rural poor and elderly. We find that although clinics are continuing to decline financially, they remain a source of care for the rural elderly and poor. We estimate that the elderly are 10-15 percent more likely than young individuals to seek care at a clinic. We show that clinics provide many unique services to support the rural elderly (and the elderly poor), such as in-home patient care, the option for patients to pay on credit, and free and discounted services.

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期刊信息
  • 《中国卫生政策研究》
  • 中国科技核心期刊
  • 主管单位:国家卫生和计划生育委员会
  • 主办单位:中国医学科学院
  • 主编:代涛
  • 地址:北京市朝阳区雅宝路3号中国医学科学院医学信息研究所
  • 邮编:100020
  • 邮箱:cjhp@imicams.ac.cn
  • 电话:010-52328667
  • 国际标准刊号:ISSN:1674-2982
  • 国内统一刊号:ISSN:11-5694/R
  • 邮发代号:80-955
  • 获奖情况:
  • 国内外数据库收录:
  • 中国中国科技核心期刊,中国北大核心期刊(2014版)
  • 被引量:5659