Evidence map›Paper›PMID 38539115›Full record

ArticleBMC psychiatry2024

Psychometric evaluation of the Arabic language version of the Birchwood Insight Scale in patients with schizophrenia.

Feten Fekih-Romdhane, Zeinab Bitar, Fadila Al Mouzakzak, Ghinwa Abilmona, Oussama Dahdouh, Souheil Hallit

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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 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Feten Fekih-RomdhaneFaculty of Medicine of Tunis, Tunis El Manar University, Tunis, Tunisia. feten.fekih@gmail.com.
Zeinab BitarUniv Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail), Rennes, UMR_S 1085, F-35000, France.
Fadila Al MouzakzakFaculty of Science, Lebanese University, Fanar, Lebanon.
Ghinwa AbilmonaFaculty of Science, Lebanese University, Fanar, Lebanon.
Oussama DahdouhFaculty of Science, Lebanese University, Fanar, Lebanon.
Souheil HallitSchool of Medicine and Medical Sciences, Holy Spirit University of Kaslik, P.O. Box 446, Jounieh, Lebanon. souheilhallit@usek.edu.lb.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical insight (i.e., impaired insight into illness) is increasingly recognized by the scientific community as a significant contributor to an array of psychological and clinical outcomes in schizophrenia. Therefore, its assessment using a reliable, rapid, easy and economic tool is important for clinical practice. This study proposes to investigate the psychometric properties of an Arabic translation of the Birchwood Insight Scale (BIS) in Arabic-speaking chronic patients with schizophrenia. Our objectives were to identify the most adequate factor structure of the BIS among the several measurement models previously proposed in the literature, verify the reliability and measurement invariance of the BIS across sex groups, and explore the concurrent validity of the BIS through examining its patterns of correlations with psychotic symptoms.

methodOne hundred seventeen Arabic-speaking chronic, remitted patients with schizophrenia took part in this study. An Arabic translated version of the BIS and the Positive and Negative Syndrome Scale (PANSS) were administered to participants.

resultsConfirmatory factor analyses (CFA) showed that, after omitting two items with low loadings (items 1 and 2), the unidimensional factor model of the BIS showed good fit indices and a reliability of α = 0.68 and ω = 0.68. However, analyses failed to show good fit for the full-length one-, two-, and three-factor models of the BIS in its Arabic version. Measurement invariance of the Arabic 6-item one-factor BIS was established between males and females at the configural, metric and scalar levels; no statistically significant difference between males and females was found in terms of BIS scores. Finally, BIS scores correlated significantly with the PANSS scores in our sample, thus demonstrating adequate concurrent validity.

conclusionThis study offers valuable additional psychometric information about the BIS based on results of CFA and other analyses in schizophrenia from a non-Western cultural environment. We believe that making the BIS available in Arabic might benefit clinicians working with Arabic-speaking patients with schizophrenia, open new avenues of research and gain a better knowledge into the nature of clinical insight and its relevance to psychopathology.

Indexed as

Psychotic DisordersSchizophreniaFemaleHumansLanguageMalePsychometricsReproducibility of ResultsSurveys and QuestionnairesArabicBirchwood Insight ScaleBISClinical insightPsychometric propertiesSchizophrenia

Identifiers

PMID38539115
PMCPMC10976762

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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.