Evidence map›Paper›PMID 38195440›Full record

ArticleBMC psychiatry2024

Factor structure of psychosis screening questionnaire in Ugandan adults.

Claire Kwagala, Amantia Ametaj, Hannah H Kim, Joseph Kyebuzibwa, Rogers Okura, Anne Stevenson, Bizu Gelaye, Dickens Akena

Abstract read
In one paragraph

Article in BMC psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Psychometric evaluation of the psychosis screening questionnaire in South Africa with attention to overlap between symptoms and normative cultural beliefs.World cultural psychiatry research review : official journal of World Association of Cultural Psychiatry · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Claire KwagalaDepartment of Psychiatry, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda. clairekwagala01@gmail.com.
Amantia AmetajDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Hannah H KimDepartment of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Joseph KyebuzibwaDepartment of Psychiatry, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda.
Rogers OkuraDepartment of Psychiatry, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda.
Anne StevensonDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Bizu GelayeDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Dickens AkenaDepartment of Psychiatry, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda.

Funding

Training Program in Psychiatric Genetics and Translational ResearchT32MH017119 · NIMH · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI KARESTAN C KOENEN, Jukka-Pekka Onnela · 1985 to 2026
$8.9M
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
NIMH NIH HHS T32 MH017119NIMH NIH HHS U01 MH125045
6 · The paper itself

Abstract

backgroundPsychotic disorders are common and contribute significantly to morbidity and mortality of people with psychiatric diseases. Therefore, early screening and detection may facilitate early intervention and reduce adverse outcomes. Screening tools that lay persons can administer are particularly beneficial in low resource settings. However, there is limited research evaluating the validity of psychosis screening instruments in Uganda. We aimed to assess the construct validity and psychometric properties of the Psychosis Screening Questionnaire (PSQ) in Uganda in a population with no history of a psychotic disorder.

methodsThe sample consisted of 2101 Ugandan adults participating as controls in a larger multi-country case-control study on psychiatric genetics who were recruited between February 2018 and March 2020. Participants were individuals seeking outpatient general medical care, caretakers of individuals seeking care, and staff or students recruited from five medical facilities that were age 18 years or older and able to provide consent. Individuals were excluded who had acute levels of alcohol or substance use, including being under inpatient hospitalization or acute medical care for one of these conditions. We used confirmatory factor analysis (CFA) and item response theory (IRT) to evaluate the factor structure and item properties of the PSQ.

resultsThe overall prevalence screening positive for psychotic symptoms was 13.9% 95% CI (12.4,15.4). "Strange experiences" were the most endorsed symptoms 6.6% 95% CI (5.6,7.8). A unidimensional model seemed to be a good model or well-fitting based on fit indices including the root mean square error of approximation (RMSEA of 0.00), comparative fit index (CFI of 1.000), and Tucker-Lewis Index (TLI of 1.000). The most discriminating items along the latent construct of psychosis were items assessing thought disturbance followed by items assessing paranoia, with a parameter (discrimination) value of 2.53 and 2.40, respectively.

conclusionThe PSQ works well in Uganda as an initial screening tool for moderate to high-level of psychotic symptoms.

Indexed as

Psychotic DisordersAdolescentAdultCase-Control StudiesHumansParanoid DisordersSurveys and QuestionnairesUgandaAfricaConfirmatory Factor Analysis (CFA)Construct validityItem response theory (IRT)PsychometricsPsychosis screening questionnaire (PSQ)

Identifiers

PMID38195440
PMCPMC10775426

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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.