Evidence map›Paper›PMID 34101782›Full record

ArticleThe journal of prevention of Alzheimer's disease

Environmental Distractions during Unsupervised Remote Digital Cognitive Assessment.

E N Madero, J Anderson, N T Bott, A Hall, D Newton, N Fuseya, J E Harrison, J R Myers, J M Glenn

Open access · diamondAbstract read
In one paragraph

Article in The journal of prevention of Alzheimer's disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 23 citations in OpenAlex.

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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

9 authors at 5 institutions in 3 countries.

E N MaderoJennifer Rae Myers, 399 Bradford Street Ste. 101, Redwood City, CA 94063, USA, Email: jennifer@neurotrack.com, Phone: 1 (301) 531-4179.
J Anderson
N T Bott
A Hall
D Newton
N Fuseya
J E Harrison
J R Myers
J M Glenn
Neurotrack Technologies (United States) · USKing's College London · GBStanford University · USUniversity of Arkansas at Fayetteville · USUniversity of Bradford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current demand for cognitive assessment cannot be met with traditional in-person methods, warranting the need for remote unsupervised options. However, lack of visibility into testing conditions and effort levels limit the utility of existing remote options. This retrospective study analyzed the frequency of and factors associated with environmental distractions during a brief digital assessment taken at home by 1,442 adults aged 23-84. Automated scoring algorithms flagged low data capture. Frequency of environmental distractions were manually counted on a per-frame and per-trial basis. A total of 7.4% of test administrations included distractions. Distractions were more frequent in men (41:350) than women (65:1,092) and the average age of distracted participants (51.7) was lower than undistracted participants (57.8). These results underscore the challenges associated with unsupervised cognitive assessment. Data collection methods that enable review of testing conditions are needed to confirm quality, usability, and actionability.

Indexed as

AlgorithmsEnvironmentTelemedicineAdultAgedAged, 80 and overAge FactorsCognitionData CollectionFemaleHumansMaleMiddle AgedNeuropsychological TestsRetrospective StudiesSex FactorsCognitive testingeye trackingquality assuranceremote assessmentunsupervised

Identifiers

PMID34101782
PMCPMC7964516
OpenAlexW3136209736

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.