Department of Health Sciences and Health Policy, Faculty of Humanities and Social Sciences, University of Lucerne, Lucerne, Switzerland -
Swiss Paraplegic Research (SPF), Nottwil, Switzerland -
Eur J Phys Rehabil Med. 2018 Feb;54(1):110-117. doi: 10.23736/S1973-9087.17.04784-0. Epub 2017 May 23.
In clinical practice and research a variety of clinical data collection tools are used to collect information on people's functioning for clinical practice and research and national health information systems. Reporting on ICF-based common metrics enables standardized documentation of functioning information in national health information systems. The objective of this methodological note on applying the ICF in rehabilitation is to demonstrate how to report functioning information collected with a data collection tool on ICF-based common metrics. We first specify the requirements for the standardized reporting of functioning information. Secondly, we introduce the methods needed for transforming functioning data to ICF-based common metrics. Finally, we provide an example.
The requirements for standardized reporting are as follows: 1) having a common conceptual framework to enable content comparability between any health information; and 2) a measurement framework so that scores between two or more clinical data collection tools can be directly compared. The methods needed to achieve these requirements are the ICF Linking Rules and the Rasch measurement model. Using data collected incorporating the 36-item Short Form Health Survey (SF-36), the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0), and the Stroke Impact Scale 3.0 (SIS 3.0), the application of the standardized reporting based on common metrics is demonstrated.
A subset of items from the three tools linked to common chapters of the ICF (d4 Mobility, d5 Self-care and d6 Domestic life), were entered as "super items" into the Rasch model. Good fit was achieved with no residual local dependency and a unidimensional metric. A transformation table allows for comparison between scales, and between a scale and the reporting common metric.
Being able to report functioning information collected with commonly used clinical data collection tools with ICF-based common metrics enables clinicians and researchers to continue using their tools while still being able to compare and aggregate the information within and across tools.
在临床实践和研究中，使用各种临床数据收集工具来收集有关人们功能的信息，用于临床实践和研究以及国家卫生信息系统。报告基于 ICF 的通用指标可实现国家卫生信息系统中功能信息的标准化记录。本方法学说明旨在展示如何使用基于 ICF 的通用指标报告使用数据收集工具收集的功能信息，应用于康复领域。我们首先指定标准化报告功能信息的要求。其次，我们介绍将功能数据转换为基于 ICF 的通用指标所需的方法。最后，我们提供一个示例。
标准化报告的要求如下：1）具有通用概念框架，以实现任何健康信息之间的内容可比性；2）测量框架，以便可以直接比较两个或更多临床数据收集工具之间的分数。实现这些要求所需的方法是 ICF 链接规则和 Rasch 测量模型。使用包含 36 项简短健康调查 (SF-36)、世界卫生组织残疾评估表 2.0 (WHODAS 2.0) 和中风影响量表 3.0 (SIS 3.0) 的数据，演示了基于通用指标的标准化报告的应用。
三个工具中的一组项目链接到 ICF 的共同章节(d4 移动性、d5 自我护理和 d6 家庭生活)，作为“超级项目”输入到 Rasch 模型中。拟合良好，无残余局部依赖性和单维度量。转换表允许在量表之间、量表与报告通用指标之间进行比较。
能够使用基于 ICF 的通用指标报告常用临床数据收集工具收集的功能信息，使临床医生和研究人员能够继续使用他们的工具，同时仍然能够比较和汇总工具内和工具之间的信息。
