Evidence map›Paper›PMID 34145463›Full record

SynthesisSocial psychiatry and psychiatric epidemiology2022

Assessing cognition in people with severe mental disorders in low- and middle-income countries: a systematic review of assessment measures.

Yohannes Gebreegziabhere Haile, Kassahun Habatmu, Andualem Derese, Hetta Gouse, Stephen M Lawrie, Matteo Cella, Atalay Alem

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Social psychiatry and psychiatric epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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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

7 authors.

Yohannes Gebreegziabhere HaileDepartment of Nursing, College of Health Sciences, Debre Berhan University, Debre Berhan, Ethiopia. yohannes36@gmail.com.ORCID http://orcid.org/0000-0003-3649-9555
Kassahun HabatmuSchool of Psychology, College of Education and Behavioral Studies, Addis Ababa University, Addis Ababa, Ethiopia.
Andualem DereseDepartment of Psychiatry, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Hetta GouseDepartment of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa.
Stephen M LawrieDepartment of Psychiatry, University of Edinburgh, Edinburgh, Scotland, UK.
Matteo CellaDepartment of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England, UK.
Atalay AlemDepartment of Psychiatry, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.

Funding

African Academy of Sciences (AAS)'s Alliance for Accelerating Excellence in Science in Africa (AESA) DELTAS Africa Initiative [DEL-15-01]Wellcome Trust
6 · The paper itself

Abstract

backgroundCognitive difficulties are common in people with severe mental disorders (SMDs) and various measures of cognition are of proven validity. However, there is a lack of systematic evidence regarding the psychometric properties of these measures in low- and middle-income countries (LMICs).

objectiveTo systematically review the psychometric properties of cognitive measures validated in people with SMDs in LMICs.

methodsWe conducted a systematic review of the literature by searching from four electronic databases. Two authors independently screened studies for their eligibility. Measurement properties of measures in all included studies were extracted. All eligible measures were assessed against criteria set for clinical and research recommendations. Results are summarized narratively and measures were grouped by measurement type and population.

resultsWe identified 23 unique measures from 28 studies. None of these was from low-income settings. Seventeen of the measures were performance-based. The majority (n = 16/23) of the measures were validated in people with schizophrenia. The most commonly reported measurement properties were: known group, convergent, and divergent validity (n = 25/28). For most psychometric property, studies of methodological qualities were found to be doubtful. Among measures evaluated in people with schizophrenia, Brief Assessment of Cognition in Schizophrenia, Cognitive Assessment Interview, MATRICS Consensus Cognitive Battery, and CogState Schizophrenia Battery were with the highest scores for clinical and research recommendation.

conclusionsStudies included in our review provide only limited quality evidence and future studies should consider adapting and validating measures using stronger designs and methods. Nonetheless, validated assessments of cognition could help in the management and allocating therapy in people with SMDs in LMICs.

Indexed as

Mental DisordersSchizophreniaCognitionDeveloping CountriesHumansPsychometricsCognitionMeasuresPsychometricSevere mental disorder

Identifiers

PMID34145463
PMCPMC8934327

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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.