Psychometric properties of the mini international neuropsychiatric interview (MINI) psychosis module: a Sub-Saharan Africa cross country comparison.

Item response MINI-7 Sub-Saharan Africa latent structure measurement psychometrics psychosis

Journal

Psychological medicine
ISSN: 1469-8978
Titre abrégé: Psychol Med
Pays: England
ID NLM: 1254142

Informations de publication

Date de publication:
Nov 2023
Historique:
pmc-release: 10 09 2024
pubmed: 11 3 2023
medline: 11 3 2023
entrez: 10 3 2023
Statut: ppublish

Résumé

The Mini International Neuropsychiatric Inventory 7.0.2 (MINI-7) is a widely used tool and known to have sound psychometric properties; but very little is known about its use in low and middle-income countries (LMICs). This study aimed to examine the psychometric properties of the MINI-7 psychosis items in a sample of 8609 participants across four countries in Sub-Saharan Africa. We examined the latent factor structure and the item difficulty of the MINI-7 psychosis items in the full sample and across four countries. Multiple group confirmatory factor analyses (CFAs) revealed an adequate fitting unidimensional model for the full sample; however, single group CFAs at the country level revealed that the underlying latent structure of psychosis was not invariant. Specifically, although the unidimensional structure was an adequate model fit for Ethiopia, Kenya, and South Africa, it was a poor fit for Uganda. Instead, a 2-factor latent structure of the MINI-7 psychosis items provided the optimal fit for Uganda. Examination of item difficulties revealed that MINI-7 item K7, measuring visual hallucinations, had the lowest difficulty across the four countries. In contrast, the items with the highest difficulty were different across the four countries, suggesting that MINI-7 items that are the most predictive of being high on the latent factor of psychosis are different for each country. The present study is the first to provide evidence that the factor structure and item functioning of the MINI-7 psychosis vary across different settings and populations in Africa.

Sections du résumé

BACKGROUND BACKGROUND
The Mini International Neuropsychiatric Inventory 7.0.2 (MINI-7) is a widely used tool and known to have sound psychometric properties; but very little is known about its use in low and middle-income countries (LMICs). This study aimed to examine the psychometric properties of the MINI-7 psychosis items in a sample of 8609 participants across four countries in Sub-Saharan Africa.
METHODS METHODS
We examined the latent factor structure and the item difficulty of the MINI-7 psychosis items in the full sample and across four countries.
RESULTS RESULTS
Multiple group confirmatory factor analyses (CFAs) revealed an adequate fitting unidimensional model for the full sample; however, single group CFAs at the country level revealed that the underlying latent structure of psychosis was not invariant. Specifically, although the unidimensional structure was an adequate model fit for Ethiopia, Kenya, and South Africa, it was a poor fit for Uganda. Instead, a 2-factor latent structure of the MINI-7 psychosis items provided the optimal fit for Uganda. Examination of item difficulties revealed that MINI-7 item K7, measuring visual hallucinations, had the lowest difficulty across the four countries. In contrast, the items with the highest difficulty were different across the four countries, suggesting that MINI-7 items that are the most predictive of being high on the latent factor of psychosis are different for each country.
CONCLUSIONS CONCLUSIONS
The present study is the first to provide evidence that the factor structure and item functioning of the MINI-7 psychosis vary across different settings and populations in Africa.

Identifiants

pubmed: 36896802
doi: 10.1017/S0033291723000296
pii: S0033291723000296
pmc: PMC10492890
mid: NIHMS1895661
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

7042-7052

Subventions

Organisme : NIMH NIH HHS
ID : R01 MH120642
Pays : United States
Organisme : NIMH NIH HHS
ID : U01 MH125047
Pays : United States
Organisme : FIC NIH HHS
ID : K01TW012180
Pays : United States
Organisme : FIC NIH HHS
ID : K01 TW012180
Pays : United States
Organisme : NIMH NIH HHS
ID : U01 MH125045
Pays : United States
Organisme : FIC NIH HHS
ID : K01TW012180
Pays : United States

Auteurs

Kristina J Korte (KJ)

Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.

Florence Jaguga (F)

Department of Mental Health, Moi Teaching and Referral Hospital, Eldoret, Kenya.

Hannah H Kim (HH)

Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.

Rocky E Stroud (RE)

Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.

Anne Stevenson (A)

Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.

Dickens Akena (D)

Department of Psychiatry, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda.

Lukoye Atwoli (L)

Department of Mental Health, School of Medicine, Moi University College of Health Sciences, Eldoret, Kenya.

Stella Gichuru (S)

Department of Mental Health, Moi Teaching and Referral Hospital, Eldoret, Kenya.

Roxanne James (R)

SAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa.

Edith Kwobah (E)

Department of Mental Health, School of Medicine, Moi University College of Health Sciences, Eldoret, Kenya.

Symon M Kariuki (SM)

Neurosciences Unit, Clinical Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.

Joseph Kyebuzibwa (J)

Department of Psychiatry, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda.

Rehema M Mwema (RM)

Neurosciences Unit, Clinical Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.

Charles R J C Newton (CRJC)

Neurosciences Unit, Clinical Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.

Zukiswa Zingela (Z)

Psychiatry and Behavioural Sciences, Walter Sisulu University and Nelson Mandela Academic Hospital, Port Elizabeth, South Africa.

Dan J Stein (DJ)

SAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa.

Melkam Alemayehu (M)

Department of Psychiatry, Addis Ababa University, Addis Ababa, Ethiopia.

Solomon Teferra (S)

Department of Psychiatry, Addis Ababa University, Addis Ababa, Ethiopia.

Karestan C Koenen (KC)

Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.

Bizu Gelaye (B)

Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.

Classifications MeSH