de Vries S M, Heutink J, Melis-Dankers B J M, Vrijling A C L, Cornelissen F W, Tucha O
a Department of Clinical and Developmental Neuropsychology , University of Groningen , Groningen , The Netherlands.
b Royal Dutch Visio, Centre of Expertise for Blind and Partially Sighted People , Huizen , The Netherlands.
Appl Neuropsychol Adult. 2018 May-Jun;25(3):197-209. doi: 10.1080/23279095.2016.1275636. Epub 2017 Jan 18.
Impairments in visual perception are common after acquired brain injury (ABI) and adequate assessment is crucial for diagnosis and rehabilitation. However, there is no consensus yet on how to assess these disorders after ABI. The aim of the present study was to explore what measures are considered reasonable to be part of a test battery for the screening of a broad range of mid-level and higher-order visual perceptual disorders. A Delphi method was used to collect the opinions of 28 international multidisciplinary experts in visual perception in order to achieve consensus on the content of the test battery. Seventeen experts evaluated the test battery proposed in the third and final round of the Delphi process. Consensus was achieved (94%) on a battery of 11 distinctive tests with an expected administration time of 30 minutes. The current study provides an essential step in the development of a standardized and time-efficient test battery for the screening of mid-level and higher-order visual perceptual disorders. The composed battery may improve effectiveness of clinical assessment by providing insight into potential visual deficits in little time, thereby initiating further assessment. Future studies should focus on the validation of the suggested test battery and collect normative data.
后天性脑损伤(ABI)后视觉感知障碍很常见,充分评估对于诊断和康复至关重要。然而,对于如何评估ABI后的这些障碍尚未达成共识。本研究的目的是探讨哪些措施被认为合理地纳入测试组合,以筛查广泛的中高级视觉感知障碍。采用德尔菲法收集28位国际多学科视觉感知专家的意见,以便就测试组合的内容达成共识。17位专家对德尔菲过程第三轮也是最后一轮提出的测试组合进行了评估。对于一组11项独特测试达成了共识(94%),预期施测时间为30分钟。本研究为开发一种标准化且高效的测试组合迈出了关键一步,用于筛查中高级视觉感知障碍。所组成的测试组合可以通过在短时间内洞察潜在的视觉缺陷,从而启动进一步评估,提高临床评估的有效性。未来的研究应侧重于对建议的测试组合进行验证并收集常模数据。