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Construct Validity of the Psychosis Screening Questionnaire in Ugandan Adults

BACKGROUND: Psychotic 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 particul...

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Autores principales: Kwagala, Claire, Ametaj, Amantia, Kim, Hannah H., Kyebuzibwa, Joseph, Rogers, Okura, Stevenson, Anne, Gelaye, Bizu, Akena, Dickens
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9915780/
https://www.ncbi.nlm.nih.gov/pubmed/36778438
http://dx.doi.org/10.21203/rs.3.rs-2482429/v1
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author Kwagala, Claire
Ametaj, Amantia
Kim, Hannah H.
Kyebuzibwa, Joseph
Rogers, Okura
Stevenson, Anne
Gelaye, Bizu
Akena, Dickens
author_facet Kwagala, Claire
Ametaj, Amantia
Kim, Hannah H.
Kyebuzibwa, Joseph
Rogers, Okura
Stevenson, Anne
Gelaye, Bizu
Akena, Dickens
author_sort Kwagala, Claire
collection PubMed
description BACKGROUND: Psychotic 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. METHODS: The sample consisted of 2101 Ugandan adults participating as controls in a larger multi-country case-control study on psychiatric genetics. We used confirmatory factor analysis (CFA) and item response theory (IRT) to evaluate the factor structure and item properties of the PSQ. RESULTS: The overall prevalence screening positive for psychotic symptoms was 13.9%. “Strange experiences” were the most endorsed symptoms (6.6%). A unidimensional factor was the best fitting model based on the 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. CONCLUSION: The PSQ works well in Uganda as an initial screening tool for moderate to high-level of psychotic symptoms.
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spelling pubmed-99157802023-02-11 Construct Validity of the Psychosis Screening Questionnaire in Ugandan Adults Kwagala, Claire Ametaj, Amantia Kim, Hannah H. Kyebuzibwa, Joseph Rogers, Okura Stevenson, Anne Gelaye, Bizu Akena, Dickens Res Sq Article BACKGROUND: Psychotic 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. METHODS: The sample consisted of 2101 Ugandan adults participating as controls in a larger multi-country case-control study on psychiatric genetics. We used confirmatory factor analysis (CFA) and item response theory (IRT) to evaluate the factor structure and item properties of the PSQ. RESULTS: The overall prevalence screening positive for psychotic symptoms was 13.9%. “Strange experiences” were the most endorsed symptoms (6.6%). A unidimensional factor was the best fitting model based on the 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. CONCLUSION: The PSQ works well in Uganda as an initial screening tool for moderate to high-level of psychotic symptoms. American Journal Experts 2023-01-31 /pmc/articles/PMC9915780/ /pubmed/36778438 http://dx.doi.org/10.21203/rs.3.rs-2482429/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. https://creativecommons.org/licenses/by/4.0/License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License (https://creativecommons.org/licenses/by/4.0/)
spellingShingle Article
Kwagala, Claire
Ametaj, Amantia
Kim, Hannah H.
Kyebuzibwa, Joseph
Rogers, Okura
Stevenson, Anne
Gelaye, Bizu
Akena, Dickens
Construct Validity of the Psychosis Screening Questionnaire in Ugandan Adults
title Construct Validity of the Psychosis Screening Questionnaire in Ugandan Adults
title_full Construct Validity of the Psychosis Screening Questionnaire in Ugandan Adults
title_fullStr Construct Validity of the Psychosis Screening Questionnaire in Ugandan Adults
title_full_unstemmed Construct Validity of the Psychosis Screening Questionnaire in Ugandan Adults
title_short Construct Validity of the Psychosis Screening Questionnaire in Ugandan Adults
title_sort construct validity of the psychosis screening questionnaire in ugandan adults
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9915780/
https://www.ncbi.nlm.nih.gov/pubmed/36778438
http://dx.doi.org/10.21203/rs.3.rs-2482429/v1
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