Evidence map›Paper›PMID 30090850›Full record

ArticleAlzheimer's & dementia (New York, N. Y.)2018

Patient perspectives of the experience of a computerized cognitive assessment in a clinical setting.

Julie M Robillard, Jen-Ai Lai, Julia M Wu, Tanya L Feng, Sherri Hayden

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's & dementia (New York, N. Y.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
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  3. Subjective daytime sleepiness, not sleep quality or hypoxia, predicts sleep-dependent memory consolidation in a cohort of older adults.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
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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

5 authors at 1 institution in 1 country.

Julie M RobillardDivision of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada.
Jen-Ai LaiDivision of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada.
Julia M WuDivision of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada.
Tanya L FengDivision of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada.
Sherri HaydenDivision of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada.
University of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionComputerized assessments are becoming widely accepted in the clinical setting and as a potential outcome measure in clinical trials. To gain patient perspectives of this experience, the aim of the present study was to investigate patient attitudes and perceptions of the Cognigram [Cogstate], a computerized cognitive assessment.

methodsSemi-structured interviews were conducted with 19 older adults undergoing a computerized cognitive assessment at the University of British Columbia Hospital Clinic for Alzheimer Disease and Related Disorders. Thematic analysis was applied to identify key themes and relationships within the data.

resultsThe analysis resulted in three categories: attitudes toward computers in healthcare, the cognitive assessment process, and evaluation of the computerized assessment experience. The results show shared views on the need for balance between human and computer intervention, as well as room for improvement in test design and utility. DISCUSSION: Careful design and user-testing should be made a priority in the development of computerized assessment interfaces, as well as reevaluating the cognitive assessment process to minimize patient anxiety and discomfort. Future research should move toward continuous data capture within clinical trials and ensuring instruments of high reliability to reduce variance.

Indexed as

Alzheimer's diseaseCognitive assessmentComputerized assessmentDementiaPatient experienceQualitative interviews

Identifiers

PMID30090850
PMCPMC6077833
OpenAlexW2836102362

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.