Evidence map›Paper›PMID 35142640›Full record

ArticleJournal of medical Internet research2022

Web-Based Cognitive Testing in Psychiatric Research: Validation and Usability Study.

Amy Joanne Lynham, Ian R Jones, James T R Walters

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 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

3 authors at 1 institution in 1 country.

Amy Joanne LynhamMedical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychiatry and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom.ORCID 0000-0002-3189-6888
Ian R JonesMedical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychiatry and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom.ORCID 0000-0001-5821-5889
James T R WaltersMedical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychiatry and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom.ORCID 0000-0002-6980-4053
Cardiff University · GB

Funding

Medical Research Council G0500509Medical Research Council MC_PC_17170Medical Research Council MC_PC_17212Medical Research Council MR/L010305/1
6 · The paper itself

Abstract

backgroundCognitive impairments are features of many psychiatric disorders and affect functioning. A barrier to cognitive research on psychiatric disorders is the lack of large cross-disorder data sets. However, the collection of cognitive data can be logistically challenging and expensive. Web-based collection may be an alternative; however, little is known about who does and does not complete web-based cognitive assessments for psychiatric research.

objectiveThe aims of this study are to develop a web-based cognitive battery for use in psychiatric research, validate the battery against the Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) Consensus Cognitive Battery, and compare the characteristics of the participants who chose to take part with those of the individuals who did not participate.

methodsTasks were developed by The Many Brains Project and selected to measure the domains specified by the MATRICS initiative. We undertook a cross-validation study of 65 participants with schizophrenia, bipolar disorder, depression, or no history of psychiatric disorders to compare the web-based tasks with the MATRICS Consensus Cognitive Battery. Following validation, we invited participants from 2 large ongoing genetic studies, which recruited participants with psychiatric disorders to complete the battery and evaluated the demographic and clinical characteristics of those who took part.

resultsCorrelations between web-based and MATRICS tasks ranged between 0.26 and 0.73. Of the 961 participants, 887 (92.3%) completed at least one web-based task, and 644 (67%) completed all tasks, indicating adequate completion rates. Predictors of web-based participation included being female (odds ratio [OR] 1.3, 95% CI 1.07-1.58), ethnicity other than White European (OR 0.66, 95% CI 0.46-0.96), higher levels of education (OR 1.19, 95% CI 1.11-1.29), diagnosis of an eating disorder (OR 2.17, 95% CI 1.17-4) or depression and anxiety (OR 5.12, 95% CI 3.38-7.83), and absence of a diagnosis of schizophrenia (OR 0.59, 95% CI 0.35-0.94). Lower performance on the battery was associated with poorer functioning (B=-1.76, SE 0.26; P<.001).

conclusionsOur findings offer valuable insights into the advantages and disadvantages of testing cognitive function remotely for mental health research.

Indexed as

Cognition DisordersSchizophreniaCognitionFemaleHumansInternetNeuropsychological TestsSchizophrenic Psychologyassessmentattentioncognitiondigitalmemorymental healthmobile phoneonlinevalidation

Identifiers

PMID35142640
PMCPMC8874806
OpenAlexW4210990302

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.