苏粤妇女保健体系激励机制覆盖程度分析
CSTR:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

上海市加强公共卫生体系建设三年行动计划(2015—2017年)项目(GWIV-32);健康相关重大社会风险预警协同创新中心科研基金;江苏高校哲学社会科学健康政策创新研究团队基金;江苏省社会科学基金项目“新常态下建立江苏产业技术协同创新体系的机制与对策”(17DDB005)


Analysis of coverage degree of incentive mechanism of maternal care between Jiangsu and Guangdong
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    为比较苏粤两地妇女保健领域激励机制覆盖程度,验证综合量化评价激励机制的可行性,文章从公开渠道系统收集所有和妇女保健相关的政策文件,摘录并综合量化激励机制覆盖程度,运用Spearman相关、线性回归分析激励机制覆盖程度与孕产妇死亡率之间的关系。结果显示,两地激励机制覆盖程度从2000年到2017年稳步上升,江苏省从34.60%上升至70.47%,广东省从23.79%上升至64.75%,与孕产妇死亡率呈高度负相关(江苏r=-0.834,广东r=-0.915)。苏粤两地激励机制覆盖程度逐年提升,已实现基本覆盖,但仍有较大提升空间,应进一步完善对业务主管部门和基层医疗机构的有效激励机制。

    Abstract:

    In order to compare the coverage degree of incentive mechanism of maternal care in Jiangsu and Guangdong, and to verify the feasibility of comprehensive quantitative evaluation of incentives, this study collected all policy documents related to women’s health from the open channel system. The coverage degree of incentive mechanism were extracted and comprehensively quantified. Spearman correlation, linear regression, etc. were used to analyze the relationship between the coverage degree of incentive mechanism and maternal mortality. The results showed that the coverage degree of incentive mechanism between the two places has increased steadily from 2000 to 2017, with Jiangsu rising from 34.60% to 70.47%, and Guangdong rising from 23.79% to 64.75%, which was highly negatively correlated with maternal mortality (Jiangsu r=-0.834, Guangdong r=-0.915). The coverage degree of incentive mechanism in Jiangsu and Guangdong has been increasing year by year, and basic coverage has been achieved, but there is still room for improvement. The effective incentive mechanism for business authorities and primary medical institutions should be further improved.

    参考文献
    相似文献
    引证文献
引用本文

张琪明,林振平,李程跃,陈 任,石金楼.苏粤妇女保健体系激励机制覆盖程度分析[J].南京医科大学学报(社会科学版),2019,(6):429~433

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2019-10-10
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2019-12-31
  • 出版日期:
文章二维码