Department of Nursing Science, University of Turku, Health Care District of Forssa, Turku, Finland.
J Eval Clin Pract. 2010 Feb;16(1):145-54. doi: 10.1111/j.1365-2753.2009.01168.x. Epub 2010 Jan 14.
Nurses' work is inextricably linked to the evaluation of the quality of care provision in health care. Within this evaluation, individualized care is a topical theme in western countries. Currently, there is no suitable instrument to measure the level of individualized care from the nurses' point of view.
To report the development process of the individualized care scale - nurse (ICS-Nurse) and to ensure its validity and reliability.
A methodological design was used. Data were obtained from 544 nurses (N = 923, response rate 59%) from inpatient wards in one university, two regional and two psychiatric hospitals as well as four health centres. Three expert analyses were used to ensure content validity. Cronbach's alpha coefficients and item analysis were used to examine internal consistency reliability. A principal components analysis, Spearman's correlation coefficients, multiple regression analysis and structural equation modelled by LISREL were conducted to evaluate construct validity.
The expert analyses provided good content validity evidence. The ICS-Nurse was easy to administer and able to be completed quickly. There were few missing data. Cronbach's alpha coefficients ranged 0.72-0.84. All item-to-total correlations were acceptable (>0.30), but some of the inter-item correlations were high. The principal components analysis supported the three-component structure explaining 52% of the variance in ICS-A-Nurse and 56% in ICS-B-Nurse. LISREL supported the theoretical model.
The ICS-Nurse is a valid and reliable instrument that can be used to measure nurses' perceptions of individualized nursing care in inpatient wards. There is a need to test instrument further, both nationally and internationally.
护士的工作与医疗保健中提供的护理质量评估密不可分。在这种评估中，个性化护理是西方国家的一个热门主题。目前，没有合适的工具可以从护士的角度来衡量个性化护理的水平。
报告个体化护理量表-护士版（ICS-Nurse）的开发过程，并确保其有效性和可靠性。
采用方法论设计。数据来自于一所大学、两所地区医院和两所精神病院以及四个卫生中心的 544 名住院病房护士（N=923，响应率为 59%）。使用了三个专家分析来确保内容有效性。使用 Cronbach's alpha 系数和项目分析来检验内部一致性可靠性。使用主成分分析、Spearman 相关系数、多元回归分析和通过 LISREL 进行的结构方程模型来评估结构有效性。
专家分析提供了良好的内容有效性证据。ICS-Nurse 易于管理且能够快速完成。数据缺失较少。Cronbach's alpha 系数范围为 0.72-0.84。所有项目与总分的相关性均可以接受（>0.30），但有些项目间的相关性较高。主成分分析支持了三成分结构，该结构可以解释 ICS-A-Nurse 中 52%的方差和 ICS-B-Nurse 中 56%的方差。LISREL 支持理论模型。
ICS-Nurse 是一种有效且可靠的工具，可用于测量住院病房护士对个体化护理的感知。需要在国内外进一步测试该工具。
