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美国的护理实践博士课程:信息基准:第一部分:课程特征。

Doctor of nursing practice programs across the United States: a benchmark of information: part I: program characteristics.

机构信息

Advanced Practice Nursing, Graduate Program, University of Wisconsin Oshkosh, College of Nursing, Oshkosh, WI 54904, USA.

出版信息

J Prof Nurs. 2012 Sep-Oct;28(5):265-73. doi: 10.1016/j.profnurs.2012.01.003.

Abstract

The number of doctor of nursing practice (DNP) programs in the United States has dramatically increased. To date, there is a lack of benchmark data regarding DNP program attributes; thus, the purpose of this investigation was to generate such a database. Because of the volume of information gathered, the results are presented in a two-part article. Part I consists of DNP program characteristics, which include location of program, type of program, delivery, plan of study, program length, number of credits, cost, program tracks, practice course name, review of programs still offering the master's degree for advanced practice nurses (APNs), and the availability of nursing education electives. Part II consists of information regarding DNP admission criteria. A cross-sectional, descriptive design was used to explore 137 DNP programs across the United States. Data were collected exclusively via university Web sites. Descriptive statistics including frequencies, percentages, means, and standard deviations were calculated and presented in report, table, or figure format. This comprehensive DNP program characteristic database is the first, to our knowledge, that is available for review. As universities prepare to develop, amend, and seek accreditation for their DNP programs, knowledge of these characteristics would be helpful to compare, contrast, and construct curricula.

摘要

美国的护理实践博士(DNP)项目数量显著增加。迄今为止,有关 DNP 项目属性的基准数据仍然缺乏;因此,本研究的目的是生成这样一个数据库。由于收集的信息量很大,结果将以两部分文章的形式呈现。第一部分包括 DNP 项目的特征,包括项目的位置、项目的类型、交付方式、学习计划、项目长度、学分数、成本、项目轨道、实践课程名称、对仍为高级执业护士(APN)提供硕士学位的项目的审查,以及护理教育选修课程的可用性。第二部分包括有关 DNP 入学标准的信息。采用横断面描述性设计来探索美国的 137 个 DNP 项目。数据仅通过大学网站收集。计算并以报告、表格或图形格式呈现描述性统计数据,包括频率、百分比、平均值和标准差。据我们所知,这是第一个可供审查的综合 DNP 项目特征数据库。随着大学准备为其 DNP 项目制定、修改和寻求认证,了解这些特征将有助于比较、对比和构建课程。

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