Rantz Marilyn J, Zwygart-Stauffacher Mary, Mehr David R, Petroski Gregory F, Owen Steven V, Madsen Richard W, Flesner Marcia, Conn Vicki, Bostick Jane, Smith Robyn, Maas Meridean
School of Nursing, University of Missouri, Columbia 65211, USA.
J Nurs Meas. 2006 Fall;14(2):129-48. doi: 10.1891/jnm-v14i2a005.
The primary aim of this NINR-NIH-funded field test in 407 nursing homes in 3 states was to complete the development of and conduct psychometric testing for the Observable Indicators of Nursing Home Care Quality Instrument (Observable Indicators, OIQ). The development of the OIQ was based on extensive qualitative and iterative quantitative work that described nursing home care quality and did initial validity and reliability field testing of the instrument in 123 nursing homes in 1 state. The scale is meant for researchers, consumers, and regulators interested in directly observing and quickly evaluating (within 30 minutes of observation) the multiple dimensions of care quality in nursing homes. After extensive testing in this study, the Observable Indicators instrument has been reduced to 30 reliable and discriminating items that have a conceptually coherent hierarchical factor structure that describes nursing home care quality. Seven first-order factors group together into two second-order factors of Structure (includes Environment: Basics and Odors) and Process (includes Care Delivery, Grooming, Interpersonal Communication, Environment: Access, and Environment: Homelike) that are classic constructs of Quality, which was the third-order factor. Internal consistency reliability for the 7 first-order factors ranged from .77 to .93. Construct validity analyses revealed an association between survey citations and every subscale as well as the total score of the OIQ instrument. Known groups analysis revealed expected trends in the OIQ scores. The Observable Indicators instrument as a whole shows acceptable interrater and test-retest reliabilities, and strong internal consistency. Scale subscales show acceptable reliability as well. Generalizability Theory analyses revealed that dependability of scores can be improved by including a second site observer, or by revisiting a site. There is a small additional benefit from increasing observers or visits beyond two.
这项由美国国立护理研究所-美国国立卫生研究院资助、在3个州的407家疗养院进行的现场测试的主要目的,是完成疗养院护理质量可观察指标工具(可观察指标,OIQ)的开发并进行心理测量测试。OIQ的开发基于广泛的定性和迭代定量工作,这些工作描述了疗养院护理质量,并在1个州的123家疗养院对该工具进行了初步的效度和信度现场测试。该量表适用于有兴趣直接观察并快速评估(观察后30分钟内)疗养院护理质量多个维度的研究人员、消费者和监管机构。经过本研究的广泛测试,可观察指标工具已缩减为30个可靠且有区分度的项目,这些项目具有概念上连贯的层次因子结构,描述了疗养院护理质量。七个一阶因子归为两个二阶因子,即结构(包括环境:基本设施和气味)和过程(包括护理提供、仪容整理、人际沟通、环境:可达性和环境:居家感),它们是质量这一三阶因子的经典构成要素。七个一阶因子的内部一致性信度范围为0.77至0.93。结构效度分析显示,调查引用与每个子量表以及OIQ工具的总分之间存在关联。已知群组分析揭示了OIQ分数的预期趋势。可观察指标工具整体显示出可接受的评分者间信度和重测信度,以及较强的内部一致性。量表子量表也显示出可接受的信度。概化理论分析表明,通过增加第二名现场观察者或再次访问现场,可以提高分数的可靠性。增加观察者或访问次数超过两次会带来少量额外益处。