Rangamani Grama N, Judovsky Hannah M
Department of Communication Sciences and Disorders, St. Cloud State University, St. Cloud, MN, USA.
Ann Indian Acad Neurol. 2020 Sep;23(Suppl 2):S156-S161. doi: 10.4103/aian.AIAN_557_20. Epub 2020 Sep 25.
The main goals were to determine the effectiveness of two commonly used communication-related Quality of Life (QoCL) measures, and the impact of aphasia-related factors on quality of life (QoL) and QoCL in persons with aphasia (PWAs).
Twenty-one PWAs ranging from 47 to 91 years of age with post-onset periods of 2 months to 14 years were tested using standardized and criterion-measure tools to assess their language and cognitive functions, QoL, and QoCL. Additionally, participants completed a demographics questionnaire, which also included information on their stroke and the kinds of therapies they had received. Assessments were conducted over two sessions with randomized order of test administrations to control fatigue and order effects.
Correlation-matrix was used to determine the strength of relations between test measures. The impact of QoL related factors (viz., aphasia severity, cognitive functioning, time post-onset, and therapy received) on QoCL was examined using ANOVAs. The ASHA Quality of Communication Life Scale (ASHA-QCL) had more significant correlations with other QoL measures than the ASHA-Functional Assessment of Communication Skills (ASHA-FACS). Aphasia severity, cognitive deficits, and therapy received contributed significantly to QoL and QoCL in PWAs.
Evaluating overall QoL may not fully reveal the QoCL in PWAs. Measuring QoCL specifically is crucial in aphasia interventions, and it is equally important to use sensitive tools that can capture the QoCL effectively. ASHA-QCL was more effective than ASHA-FACS in capturing the QoCL. QoCL must be considered even when working with PWAs with severe aphasias and/or mild cognitive deficits.
主要目标是确定两种常用的与沟通相关的生活质量(QoCL)测量方法的有效性,以及失语相关因素对失语症患者(PWA)生活质量(QoL)和QoCL的影响。
使用标准化和标准测量工具对21名年龄在47至91岁之间、发病后2个月至14年的PWA进行测试,以评估他们的语言和认知功能、QoL和QoCL。此外,参与者完成了一份人口统计学问卷,其中还包括他们中风的信息以及接受过的治疗类型。评估分两个阶段进行,测试管理顺序随机,以控制疲劳和顺序效应。
使用相关矩阵确定测试指标之间关系的强度。使用方差分析检查QoL相关因素(即失语严重程度、认知功能、发病时间和接受的治疗)对QoCL的影响。与美国言语语言听力协会沟通生活质量量表(ASHA-QCL)相比,美国言语语言听力协会沟通技能功能评估量表(ASHA-FACS)与其他QoL测量方法的相关性更强。失语严重程度、认知缺陷和接受的治疗对PWA的QoL和QoCL有显著影响。
评估整体QoL可能无法完全揭示PWA的QoCL。在失语症干预中,专门测量QoCL至关重要,使用能够有效捕捉QoCL的敏感工具同样重要。在捕捉QoCL方面,ASHA-QCL比ASHA-FACS更有效。即使是与患有严重失语症和/或轻度认知缺陷的PWA合作时,也必须考虑QoCL。