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使用治疗扫描墙治疗急性中风幸存者的视觉注意力不集中:一项概念验证研究。

Treating Visual Inattention in Acute Stroke Survivors Using a Therapy Scanning Wall: A Proof-of-Concept Study.

作者信息

Sharp Natalie, Hepworth Lauren R

机构信息

Leighton Hospital, Mid Cheshire Hospitals NHS Foundation Trust, Crewe, UK.

Institute of Population Health, University of Liverpool, Liverpool, UK.

出版信息

Br Ir Orthopt J. 2023 Aug 9;19(1):71-77. doi: 10.22599/bioj.311. eCollection 2023.

DOI:10.22599/bioj.311
PMID:37577068
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10417920/
Abstract

BACKGROUND

Visual inattention is common following right hemisphere stroke, with up to 80% of patients being affected. Visual inattention following stroke is linked to poorer outcomes. There is no clear evidence for how visual inattention should be treated in the hospital inpatient setting.

OBJECTIVE

To explore the practical implications and possible benefits of using a visual scanning wall in a stroke rehabilitation unit as an assessment and treatment tool for visual inattention.

METHODS

This proof-of-concept study recruited stroke survivors with visual inattention. Participants used the scanning wall for scanning training five days a week for two weeks. Assessments using the scanning wall and modified Albert's test were conducted at baseline and at day 14. Both participants and staff delivering the training were asked to complete an acceptability questionnaire.

RESULTS

All participants demonstrated an improvement in the number of pictures identified from baseline to day 14. There was a mean improvement of 9.20 (95% CI 4.77 to 13.63) in the 14 days. This is a statistically significant improvement in the scanning wall score between baseline line and day 14 ( = 0.01). All participants and staff reported the scanning wall as acceptable to use.

CONCLUSION

This proof-of-concept study has demonstrated the scanning wall could be used to assess for visual inattention in extra personal space. Also, it could be beneficial and is acceptable for the treatment of visual inattention within a hospital inpatient setting for acute stroke survivors.

摘要

背景

右侧半球卒中后视觉注意力不集中很常见,高达80%的患者会受到影响。卒中后的视觉注意力不集中与较差的预后相关。在医院住院环境中,对于如何治疗视觉注意力不集中尚无明确证据。

目的

探讨在卒中康复单元使用视觉扫描墙作为视觉注意力不集中的评估和治疗工具的实际意义及可能的益处。

方法

这项概念验证研究招募了有视觉注意力不集中的卒中幸存者。参与者每周使用扫描墙进行五天的扫描训练,为期两周。在基线和第14天使用扫描墙和改良的阿尔伯特测试进行评估。要求参与者和提供训练的工作人员完成一份可接受性问卷。

结果

所有参与者从基线到第14天识别的图片数量均有改善。在这14天内平均改善了9.20(95%可信区间4.77至13.63)。这是基线和第14天扫描墙评分的统计学显著改善(P = 0.01)。所有参与者和工作人员都报告说扫描墙使用起来是可接受的。

结论

这项概念验证研究表明,扫描墙可用于评估个人空间以外的视觉注意力不集中。此外,对于急性卒中幸存者在医院住院环境中治疗视觉注意力不集中可能是有益的且可接受的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84bc/10417920/39b12329a2f3/bioj-19-1-311-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84bc/10417920/2feb337c0109/bioj-19-1-311-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84bc/10417920/39b12329a2f3/bioj-19-1-311-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84bc/10417920/2feb337c0109/bioj-19-1-311-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84bc/10417920/39b12329a2f3/bioj-19-1-311-g2.jpg

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本文引用的文献

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Rapid screening for neglect following stroke: A systematic search and European Academy of Neurology recommendations.脑卒中后忽视的快速筛查:系统检索和欧洲神经病学学会推荐意见。
Eur J Neurol. 2022 Sep;29(9):2596-2606. doi: 10.1111/ene.15381. Epub 2022 Jun 30.
2
Non-pharmacological interventions for spatial neglect or inattention following stroke and other non-progressive brain injury.非药物干预治疗脑卒中及其他非进行性脑损伤后空间忽略或注意力不集中。
Cochrane Database Syst Rev. 2021 Jul 1;7(7):CD003586. doi: 10.1002/14651858.CD003586.pub4.
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Impact of visual impairment following stroke (IVIS study): a prospective clinical profile of central and peripheral visual deficits, eye movement abnormalities and visual perceptual deficits.
脑卒中后视力障碍(IVIS 研究):中心和周边视觉缺损、眼球运动异常及视觉感知缺损的前瞻性临床特征。
Disabil Rehabil. 2022 Jun;44(13):3139-3153. doi: 10.1080/09638288.2020.1859631. Epub 2020 Dec 21.
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Current clinical practice in the screening and diagnosis of spatial neglect post-stroke: Findings from a multidisciplinary international survey.中风后空间忽视筛查与诊断的当前临床实践:一项多学科国际调查的结果
Neuropsychol Rehabil. 2021 Oct;31(9):1495-1526. doi: 10.1080/09602011.2020.1782946. Epub 2020 Jul 21.
5
Assessing stroke severity using electronic health record data: a machine learning approach.利用电子健康记录数据评估中风严重程度:一种机器学习方法。
BMC Med Inform Decis Mak. 2020 Jan 8;20(1):8. doi: 10.1186/s12911-019-1010-x.
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Peripersonal and extrapersonal visuospatial neglect in different frames of reference: A brain lesion-symptom mapping study.不同参照系中的个人周边和个人空间外视觉空间忽视:一项脑损伤-症状映射研究。
Behav Brain Res. 2019 Jan 1;356:504-515. doi: 10.1016/j.bbr.2018.06.010. Epub 2018 Jun 22.
7
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Disabil Rehabil. 2017 Dec;39(25):2531-2543. doi: 10.1080/09638288.2016.1231846. Epub 2016 Sep 26.
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Ann Phys Rehabil Med. 2017 Jun;60(3):186-190. doi: 10.1016/j.rehab.2015.12.005. Epub 2016 Jan 29.
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