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Assessing cognition in people with severe mental disorders in low- and middle-income countries: a systematic review of assessment measures.
Haile, Yohannes Gebreegziabhere; Habatmu, Kassahun; Derese, Andualem; Gouse, Hetta; Lawrie, Stephen M; Cella, Matteo; Alem, Atalay.
Afiliación
  • Haile YG; Department of Nursing, College of Health Sciences, Debre Berhan University, Debre Berhan, Ethiopia. yohannes36@gmail.com.
  • Habatmu K; Department of Psychiatry, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia. yohannes36@gmail.com.
  • Derese A; School of Psychology, College of Education and Behavioral Studies, Addis Ababa University, Addis Ababa, Ethiopia.
  • Gouse H; Department of Psychiatry, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
  • Lawrie SM; Department of Public Health, College of Health Sciences, Haremaya University, Harar, Ethiopia.
  • Cella M; Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa.
  • Alem A; Department of Psychiatry, University of Edinburgh, Edinburgh, Scotland, UK.
Soc Psychiatry Psychiatr Epidemiol ; 57(3): 435-460, 2022 Mar.
Article en En | MEDLINE | ID: mdl-34145463
BACKGROUND: Cognitive difficulties are common in people with severe mental disorders (SMDs) and various measures of cognition are of proven validity. However, there is a lack of systematic evidence regarding the psychometric properties of these measures in low- and middle-income countries (LMICs). OBJECTIVE: To systematically review the psychometric properties of cognitive measures validated in people with SMDs in LMICs. METHODS: We conducted a systematic review of the literature by searching from four electronic databases. Two authors independently screened studies for their eligibility. Measurement properties of measures in all included studies were extracted. All eligible measures were assessed against criteria set for clinical and research recommendations. Results are summarized narratively and measures were grouped by measurement type and population. RESULTS: We identified 23 unique measures from 28 studies. None of these was from low-income settings. Seventeen of the measures were performance-based. The majority (n = 16/23) of the measures were validated in people with schizophrenia. The most commonly reported measurement properties were: known group, convergent, and divergent validity (n = 25/28). For most psychometric property, studies of methodological qualities were found to be doubtful. Among measures evaluated in people with schizophrenia, Brief Assessment of Cognition in Schizophrenia, Cognitive Assessment Interview, MATRICS Consensus Cognitive Battery, and CogState Schizophrenia Battery were with the highest scores for clinical and research recommendation. CONCLUSIONS: Studies included in our review provide only limited quality evidence and future studies should consider adapting and validating measures using stronger designs and methods. Nonetheless, validated assessments of cognition could help in the management and allocating therapy in people with SMDs in LMICs.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Esquizofrenia / Trastornos Mentales Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Soc Psychiatry Psychiatr Epidemiol Asunto de la revista: CIENCIAS SOCIAIS / EPIDEMIOLOGIA / PSIQUIATRIA Año: 2022 Tipo del documento: Article País de afiliación: Etiopia

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Esquizofrenia / Trastornos Mentales Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Soc Psychiatry Psychiatr Epidemiol Asunto de la revista: CIENCIAS SOCIAIS / EPIDEMIOLOGIA / PSIQUIATRIA Año: 2022 Tipo del documento: Article País de afiliación: Etiopia