Evidence map›Paper›PMID 37577068›Full record

ArticleThe British and Irish orthoptic journal2023

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

Natalie Sharp, Lauren R Hepworth

Open access · diamondAbstract read
In one paragraph

Article in The British and Irish orthoptic journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 52% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Natalie SharpLeighton Hospital, Mid Cheshire Hospitals NHS Foundation Trust, Crewe, UK.ORCID https://orcid.org/0009-0009-7533-1035
Lauren R HepworthInstitute of Population Health, University of Liverpool, Liverpool, UK.ORCID https://orcid.org/0000-0001-8542-9815
Mid Cheshire Hospitals NHS Foundation Trust · GBUniversity of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 ( 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.

Indexed as

rehabilitationscreeningstrokevisual inattentionvisuospatial neglect

Identifiers

PMID37577068
PMCPMC10417920
OpenAlexW4385699675

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.