Suppr超能文献

“积极规划”:农村卫生倡议规划中数据的运用

"Positive programming": the use of data in planning for the rural health initiative.

作者信息

Rockoff M L, Gorin L, Kleinman J C

出版信息

J Community Health. 1979 Spring;4(3):204-16. doi: 10.1007/BF01322966.

Abstract

A data-driven approach to allocating federal resources for primary care systems in rural areas is presented. This approach was developed and implemented by the Public Health Service (PHS) when it undertook its Rural Health Initiative Program. Nationally available small-area data were used to identify "priority counties" and PHS regional office staffs were asked to take an active role in developing rural health system projects in these counties. This approach was adopted to avoid the problem of the many communities eligible for and in need of funds that do not get them because they lack the organization and knowledgeable personnel required to develop a project grant application. The paper defines and discusses the "positive programming" approach (believed to be the first attempt to allocate federal health service delivery resources actively on the basis of small-area data), discusses the present shortcomings of the approach (including data limitations), and presents the results of implementing the approach. In the first year, 23% of the priority counties and 13% of the nonpriority counties were served, while in the second year 39% of the priority counties and 17% of the nonpriority counties were served. The substantial increase in the percentage of priority counties served reflects the effectiveness of the positive programming effort.

摘要

本文介绍了一种基于数据驱动的方法,用于为农村地区的基层医疗系统分配联邦资源。这种方法是由公共卫生服务局(PHS)在实施农村健康倡议计划时开发并实施的。利用全国范围内的小区域数据来确定“重点县”,并要求PHS地区办公室工作人员积极参与在这些县开展农村卫生系统项目。采用这种方法是为了避免许多有资格且需要资金的社区因缺乏开展项目拨款申请所需的组织和专业人员而无法获得资金的问题。本文定义并讨论了“积极规划”方法(据信这是首次尝试基于小区域数据积极分配联邦卫生服务资源),讨论了该方法目前的缺点(包括数据限制),并展示了实施该方法的结果。在第一年,23%的重点县和13%的非重点县得到了服务,而在第二年,39%的重点县和17%的非重点县得到了服务。重点县得到服务的比例大幅增加,这反映了积极规划努力的有效性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验