一个确定护理教育直接成本的模型:科罗拉多的经验。

Nursing leadership forum Pub Date : 2005-01-01
Amy J Barton, Patricia Moritz, Jerry Griffin, Marlaine Smith, Kathy Magilvy, Gayle Preheim, Lauren Clark, Gene Marsh, Joann Congdon, Mary Blegen, Roxie Foster, Sue Hagedorn
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摘要

2003年春季,国家、州和地方的经济因素以一种方式汇聚在一起,促使我们更好地确定科罗拉多大学健康科学中心护理学院(SON)提供的教育项目的成本。有两个因素促使人们对护理教育项目的直接成本进行分析:一是国家拨款的减少,二是该学年国家资金的撤销率为36.7%。该学院有4个专业(学士学位、理学硕士、护理博士和哲学博士),共有618名学生。在2003年夏天,SON领导团队在迭代过程中多次会面,以澄清假设并提出建议,试图降低学术项目的成本。数据来自不同的来源。美国联邦预算和财政办公室提供了收入和支出数据。教务处提供了课程安排、课程设置计划和预计的学生注册课程。系主任提供了有关教师工作量和教师专业领域的数据。这些数据汇编在Access表格中,并排列在一系列Excel电子表格中,这些电子表格捕获了课程数据和教师数据。完成了“假设”分析,以确定试点加速学士学位课程的成本。该方法提供了一个动态分析系统,显示出前瞻性和回顾性的有效性。通过这种分析,可以得到以下指标:每个学生每门课程/项目的直接成本;每门课程/项目每名学生的收入;教师教学FTE;以及教师与学生的比例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A model to identify direct costs of nursing education: the Colorado experience.

During spring 2003, national, state, and local economic factors converged in a manner that propelled us to better identify the costs of the educational programs offered within the University of Colorado Health Sciences Center School of Nursing (SON). Two factors prompted analysis of direct costs of the nursing education programs: a shrinking state appropriation and a 36.7% rescission of state funds during that academic year. The SON supports 618 students in four programs (baccalaureate, master of science, doctor of nursing, and doctor of philosophy). During summer 2003, the SON leadership team met numerous times in an iterative process to clarify assumptions and make recommendations in an attempt to cost out academic programs. Data were obtained from a variety of sources. The SON Office of Budget and Finance provided revenue and expense data. The Office of Academic Affairs provided course schedules, the course offering plan, and projected student enrollment in courses. The Division Chairs provided data concerning faculty workload and faculty areas of expertise. The data were compiled in Access tables and arrayed in a series of Excel spreadsheets that captured course data and faculty data. A "what-if" analysis was completed to determine cost of a pilot accelerated baccalaureate program. This method provides a dynamic analytic system shown to be prospectively and retrospectively effective. As a result of this analysis, the following metrics are available: direct cost per student per course/program; revenue per student per course/program; faculty teaching FTE; and faculty-to-student ratio.

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