Evidence map›Paper›PMID 39208558›Full record

ArticleComprehensive psychiatry2024

Evaluation of the psychometric properties of the UBACC questionnaire in a multi-country psychiatric study in Africa.

Patricia Kipkemoi, Mary S Mufford, Dickens Akena, Melkam Alemayehu, Lukoye Atwoli, Lori B Chibnik, Bizu Gelaye, Stella Gichuru, Symon M Kariuki, Karestan C Koenen and 12 more

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Article in Comprehensive psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

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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

22 authors.

Patricia KipkemoiNeuroscience Unit, KEMRI-Wellcome Trust Research Program, Kenya; Global Initiative for Neuropsychiatric Genetics Education in Research (GINGER) Program, Harvard T.H. Chan School of Public Health and the Stanley Center for Psychiatric Research at the Broad Institute of Harvard and MIT, USA; Complex Trait Genetics Department, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Netherlands. Electronic address: pkipkemoi@kemri-wellcome.org.
Mary S MuffordGlobal Initiative for Neuropsychiatric Genetics Education in Research (GINGER) Program, Harvard T.H. Chan School of Public Health and the Stanley Center for Psychiatric Research at the Broad Institute of Harvard and MIT, USA; SAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, South Africa.
Dickens AkenaDepartment of Psychiatry, School of Medicine, College of Health Sciences, Makerere University, Uganda.
Melkam AlemayehuDepartment of Psychiatry, School of Medicine, College of Health Sciences, Addis Ababa University, Ethiopia.
Lukoye AtwoliDepartment of Mental Health, School of Medicine, Moi University College of Health Sciences, Kenya; Brain and Mind Institute and Department of Medicine, Medical College East Africa, the Aga Khan University, Kenya.
Lori B ChibnikStanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, USA; Department of Neurology, Massachusetts General Hospital, Harvard Medical School, USA.
Bizu GelayeStanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, USA; Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, USA; Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, USA.
Stella GichuruDepartment of Mental Health, Moi Teaching and Referral Hospital, Eldoret, Kenya.
Symon M KariukiNeuroscience Unit, KEMRI-Wellcome Trust Research Program, Kenya; Department of Psychiatry, University of Oxford, UK.
Karestan C KoenenStanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, USA; Department of Neurology, Massachusetts General Hospital, Harvard Medical School, USA; Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, USA.
Edith KwobahDepartment of Mental Health, Moi Teaching and Referral Hospital, Eldoret, Kenya.
Joseph KyebuzibwaDepartment of Psychiatry, School of Medicine, College of Health Sciences, Makerere University, Uganda.
Rehema M MwemaNeuroscience Unit, KEMRI-Wellcome Trust Research Program, Kenya.
Charles R J C NewtonNeuroscience Unit, KEMRI-Wellcome Trust Research Program, Kenya; Department of Psychiatry, University of Oxford, UK.
Adele PretoriusSAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, South Africa.
Dan J SteinSAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, South Africa.
Anne StevensonStanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, USA; Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, South Africa.
Rocky E StroudStanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, USA.
Solomon TeferraDepartment of Psychiatry, School of Medicine, College of Health Sciences, Addis Ababa University, Ethiopia.
Zukiswa ZingelaExecutive Dean's Office, Faculty of Health Sciences, Nelson Mandela University, South Africa.
Kristianna PostStanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, USA.
Kristina J KorteDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, USA; Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, USA.

Funding

1/4 Powering Genetic Discovery for Severe Mental Illness in Latin American and African AncestriesU01MH125047 · NIMH · BROAD INSTITUTE, INC. · PI MARTIN, ALICIA, NEALE, BENJAMIN MICHAEL · 2020 to 2024
$11.5M
2/4 Powering Genetic Discovery for Severe Mental Illness in Latin American and African AncestriesU01MH125045 · NIMH · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI KOENEN, KARESTAN C · 2020 to 2024
$3.1M
Psychosis Genetics Research in Africa: Building Capacity by Investing in PeopleR01MH120642 · NIMH · BROAD INSTITUTE, INC. · PI AKENA, DICKENS HOWARD, CHIBNIK, LORI BETH · 2019 to 2023
$3.1M
Brief Transdiagnostic Treatment for Anxiety Disorders and PTSD in South Africa: A Hybrid-Effectiveness TrialK01TW012180 · FIC · MASSACHUSETTS GENERAL HOSPITAL · PI KORTE, KRISTINA JO · 2021 to 2025
$917k
FIC NIH HHS K01 TW012180NIMH NIH HHS R01 MH120642NIMH NIH HHS U01 MH125045NIMH NIH HHS U01 MH125047
6 · The paper itself

Abstract

backgroundThe University of California, San Diego Brief Assessment of Capacity to Consent (UBACC) is a tool to assess the capacity of participants to consent in psychiatric research. However, little is known about the psychometric properties in low and middle-income countries. This study aimed to examine the psychometric properties of the UBACC.

methodsWe examined the reliability, latent factor structure, and item response of the first attempt of the UBACC items in a sample of 32,208 adults (16,467 individuals with psychosis and 15,741 controls) in Ethiopia, Kenya, South Africa, and Uganda; exploring these properties in the full sample and stratified by country, diagnostic status, sex, and ethnolinguistic language groups.

resultsExploratory factor analysis (EFA) suggested a two-factor model for the overall sample. However, a three-factor model was more appropriate when examining the latent structure across country, language, and sex. Confirmatory factor analyses (CFA) revealed an adequately fitting three-factor model for the full sample and across country, sex, and language. A two-factor model, however, was more appropriate for English and Amharic languages. Across all groups, the internal consistency of the UBACC was low, indicating below-threshold reliability (Cronbach's α (95 % CI = 0.58 (0.57-0.59). Using a multidimensional item-response theory framework for the full sample revealed that UBACC item 8, measuring understanding of the benefits of study participation, was the most discriminating item. Many of the other items had below-threshold discriminating characteristics.

conclusionEFA and CFA converged towards a two and three-dimensional structure for the UBACC, in line with the developers of the original scale. The differences in properties between populations and language groups, low internal consistency, and below-threshold item functioning suggest that investigations into the cultural and linguistic nuances are still warranted. Understanding the utility of consent tools, such as the UBACC, in underrepresented populations will be a part of the larger process which ensures that research participants are adequately protected.

Indexed as

PsychometricsAdolescentAdultEthiopiaFactor Analysis, StatisticalFemaleHumansKenyaMaleMiddle AgedPsychotic DisordersReproducibility of ResultsSouth AfricaSurveys and QuestionnairesUgandaYoung AdultAfricaGenetic studiesInformed consentPsychometric propertiesUBACC

Identifiers

PMID39208558
PMCPMC12355974

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LicenceCC BY-NC-ND
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Registered trials

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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.