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计算机自适应测试在医学康复中的应用机会:针对性题库的开发

Opportunities for CAT applications in medical rehabilitation: development of targeted item banks.

作者信息

Kisala Pamela A, Tulsky Donald S

机构信息

University of Michigan, Department of Physical Medicine and Rehabilitation, Ann Arbor, MI 48103, USA.

出版信息

J Appl Meas. 2010;11(3):315-30.

Abstract

Researchers in the field of rehabilitation medicine have increasingly turned to qualitative data collection methods to better understand the experience of living with a disability. In rehabilitation psychology, these techniques are embodied by participatory action research (PAR; Hall 1981; White, Suchowierska, and Campbell 2004), whereby researchers garner qualitative feedback from key stakeholders such as patients and physicians. Glaser and Strauss (1967) and, later, Strauss and Corbin (1998) have outlined a systematic method of gathering and analyzing qualitative data to ensure that results are conceptually grounded to the population of interest. This type of analysis yields a set of interrelated concepts ("codes") to describe the phenomenon of interest. Using this data, however, becomes somewhat of a methodological problem. While this data is often used to describe phenomena of interest, it is challenging to transform the knowledge gained into practical data to inform research and clinical practice. In the case of developing patient-reported outcomes (PRO) measures for use in a rehabilitation population, it is difficult to make sense of the qualitative analysis results. Qualitative feedback tends to be open-ended and free-flowing, not conforming to any traditional data analysis methodology. Researchers involved in measure development need a practical way to quantify the qualitative feedback. This manuscript will focus on a detailed methodology of empiricizing qualitative data for practical application, in the context of developing targeted, rehabilitation-specific PRO measures within a larger, more generic PRO measurement system.

摘要

康复医学领域的研究人员越来越多地转向定性数据收集方法,以更好地了解残疾生活体验。在康复心理学中,这些技术体现在参与式行动研究(PAR;Hall,1981;White、Suchowierska和Campbell,2004)中,即研究人员从患者和医生等关键利益相关者那里获取定性反馈。Glaser和Strauss(1967)以及后来的Strauss和Corbin(1998)概述了一种收集和分析定性数据的系统方法,以确保结果在概念上基于感兴趣的人群。这种类型的分析产生了一组相互关联的概念(“代码”)来描述感兴趣的现象。然而,使用这些数据在某种程度上成为一个方法学问题。虽然这些数据通常用于描述感兴趣的现象,但将获得的知识转化为实际数据以指导研究和临床实践却具有挑战性。在为康复人群开发患者报告结局(PRO)测量方法的情况下,很难理解定性分析结果。定性反馈往往是开放式的且自由流动的,不符合任何传统的数据分析方法。参与测量方法开发的研究人员需要一种实用的方法来量化定性反馈。本手稿将重点介绍在一个更大、更通用的PRO测量系统中开发针对性的、特定于康复的PRO测量方法的背景下,将定性数据实证化以用于实际应用的详细方法。

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