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计划生育服务的组织与提供中的管理问题

Management issues in the organization and delivery of family planning services.

作者信息

Loddengaard R A, Vitaglione T J

出版信息

Public Health Rep. 1979 Sep-Oct;94(5):459-65.

Abstract

Statewide family planning programs have been developed primarily in the Southeast and in a few other States of the nation. They are managed by State public health agencies with a few exceptions. This paper presents issues which are of importance to persons and agencies interested in developing a statewide family planning program; namely State support, allocation of funds, setting goals based on impact rather than efficiency of services, secondary sources of funding, and patient data systems. Arguments for a statewide program include the maximum use of available resources (for example, title V maternal and child health funds), the opportunity to distribute resources equitably throughout the State, the development of a statewide third-party reimbursement system, the opportunity to develop evaluation mechanisms, support for starting a system of fee collection, and the use of a statewide patient data system. Arguments against a State program include some loss of local control of a project, possible organizational battles within State agencies, State political domination of program policy, and a possible shift of funding away from existing strong projects. In the early 1970s, development of statewide systems was coupled with a rapid increase of funding when broad coverage of services and accessibility were key factors. At the present, categorical funding is no longer increasing, and efficiency and maximization of resources are becoming more important.

摘要

全州范围的计划生育项目主要在东南部以及美国其他一些州开展。除少数情况外,这些项目由州公共卫生机构管理。本文提出了一些对有意开展全州范围计划生育项目的个人和机构至关重要的问题,即州政府的支持、资金分配、基于服务影响而非效率设定目标、资金的次要来源以及患者数据系统。支持开展全州范围项目的理由包括最大限度地利用现有资源(例如,第五章母婴健康基金)、有机会在全州公平分配资源、建立全州范围的第三方报销系统、有机会建立评估机制、支持启动收费系统以及使用全州范围的患者数据系统。反对开展州级项目的理由包括项目的地方控制权会有所丧失、州机构内部可能出现组织斗争、州政府对项目政策的政治主导以及资金可能从现有强大项目转移。在20世纪70年代初,全州范围系统的发展伴随着资金的迅速增加,当时服务的广泛覆盖和可及性是关键因素。目前,专项拨款不再增加,资源的效率和最大化变得更加重要。

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