Institute for Health & Biomedical Innovation, Queensland University of Technology, Brisbane, Australia.
J Adv Nurs. 2012 Jun;68(6):1369-79. doi: 10.1111/j.1365-2648.2011.05850.x. Epub 2011 Oct 27.
This study reports the use of exploratory factor analysis to determine construct validity of a modified advanced practice role delineation tool.
Little research exists on specific activities and domains of practice within advanced practice nursing roles, making it difficult to define service parameters of this level of nursing practice. A valid and reliable tool would assist those responsible for employing or deploying advanced practice nurses by identifying and defining their service profile. This is the third article from a multi-phase Australian study aimed at assigning advanced practice roles.
A postal survey was conducted of a random sample of state government employed Registered Nurses and midwives, across various levels and grades of practice in the state of Queensland, Australia, using the modified Advanced Practice Role Delineation tool. Exploratory factor analysis, using principal axis factoring was undertaken to examine factors in the modified tool. Cronbach's alpha coefficient determined reliability of the overall scale and identified factors.
There were 658 responses (42% response rate). The five factors found with loadings of ≥400 for 40 of the 41 APN activities were similar to the five domains in the Strong model. Cronbach's alpha coefficient was 0·94 overall and for the factors ranged from 0·83 to 0·95.
Exploratory factor analysis of the modified tool supports validity of the five domains of the original tool. Further investigation will identify use of the tool in a broader healthcare environment.
本研究报告了使用探索性因子分析来确定改良的高级实践角色描述工具的结构效度。
在高级实践护理角色的特定活动和实践领域方面，研究甚少，这使得难以定义这一级别的护理实践的服务参数。一个有效且可靠的工具将通过识别和定义其服务概况，帮助那些负责雇用或部署高级实践护士的人。这是澳大利亚多阶段研究的第三篇文章，旨在分配高级实践角色。
对澳大利亚昆士兰州各级和各级实践中的州政府雇用的注册护士和助产士进行了一项随机抽样的邮寄调查，使用改良的高级实践角色描述工具。采用主成分因子分析进行探索性因子分析，以检查改良工具中的因子。Cronbach's alpha 系数确定了总体量表和识别因素的可靠性。
共有 658 份回复（42%的回复率）。在 41 项 APN 活动中的 40 项活动中，负荷值≥400 的五个因素与 Strong 模型中的五个领域相似。总体 Cronbach's alpha 系数为 0·94，各因素的范围为 0·83 至 0·95。
对改良工具的探索性因子分析支持原始工具五个领域的有效性。进一步的研究将确定该工具在更广泛的医疗保健环境中的使用。
