Exploring the psychometric properties of the CES‐D‐10 and its practicality in detecting depressive symptomatology in 27 low‐ and middle‐income countries

Abstract 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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Measuring early child development across low and middle-income countries: A systematic review

Journal of Early Childhood Research ◽

10.1177/1476718x211020031 ◽

2021 ◽

pp. 1476718X2110200

Author(s):

Bernardita Munoz-Chereau ◽

Lynn Ang ◽

Julie Dockrell ◽

Laura Outhwaite ◽

Claire Heffernan

Keyword(s):

Systematic Review ◽

Child Development ◽

Psychometric Properties ◽

Early Child Development ◽

Middle Income ◽

Early Child ◽

Middle Income Countries ◽

Cultural Adaptability ◽

Education Psychology ◽

Low And Middle Income

The Sustainable Development Goals mandate that by 2030, all children should have access to quality early child development opportunities, healthcare and pre-primary education. Yet validated measures of ECD in low and middle income countries (LMICs) are rare. To address this gap, a Systematic Review (SR) of measures available to profile the development of children between the ages of 0–5 years in LMICs was undertaken. Drawing on education, psychology and health databases, we identified reliable, valid or measures adapted for use in LMICs for either assessments of children’s development or their learning environments. The inclusion criteria were (1) peer reviewed papers published between January 2009 and May 2019; (2) assessment tools used to measure cognitive/language development or the early years or home environment in at least one LMIC; (3) report of the psychometric properties (validity and reliability) of the tool, and/or description of the cultural adaptability/translation process undertaken before applying it to a LMIC. Two hundred and forty-nine available records published in the last decade in peer-review journals and nine relevant systematic literature reviews were identified. Fifty-seven records were qualitatively synthesised based on their psychometric properties and cultural adaptation. Forty-three tools were reviewed utilising 12 criteria. Five elements of analysis present in Tables 2 and 3 (study, population tested, validity, reliability and cultural adaptability/translation) focused on the tools’ psychometric properties and previous application in LMICs. A further seven dimensions outlined in Tables 4 and 5 identified specific characteristics of the tools from target age, administration method, domains, battery, accessibility, language and country/institution. We suggest these 12 key considerations for the selection of measurement tools that are applicable to effectively assess ECD in LMICs.

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Development of a healthy ageing index in Latin American countries - a 10/66 dementia research group population-based study

BMC Medical Research Methodology ◽

10.1186/s12874-019-0849-y ◽

2019 ◽

Vol 19 (1) ◽

Cited By ~ 2

Author(s):

Christina Daskalopoulou ◽

Kia-Chong Chua ◽

Artemis Koukounari ◽

Francisco Félix Caballero ◽

Martin Prince ◽

...

Keyword(s):

Psychometric Properties ◽

Ethnic Group ◽

Functional Ability ◽

Convergent Validity ◽

Healthy Ageing ◽

Middle Income ◽

Middle Income Countries ◽

Intrinsic Capacity ◽

And Gender ◽

Low And Middle Income

Abstract Background Our population is ageing and in 2050 more than one out of five people will be 60 years or older; 80% of whom will be living in a low-and-middle income country. Living longer does not entail living healthier; however, there is not a widely accepted measure of healthy ageing hampering policy and research. The World Health Organization defines healthy ageing as the process of developing and maintaining functional ability that will enable well-being in older age. We aimed to create a healthy ageing index (HAI) in a subset of six low-and-middle income countries, part of the 10/66 study, by using items of functional ability and intrinsic capacity. Methods The study sample included residents 65-years old and over (n = 12,865) from catchment area sites in Cuba, Dominican Republic, Peru, Venezuela, Mexico and Puerto Rico. Items were collected by interviewing participants or key informants between 2003 and 2010. Two-stage factor analysis was employed and we compared one-factor, second-order and bifactor models. The psychometric properties of the index, including reliability, replicability, unidimensionality and concurrent convergent validity as well as measurement invariance per ethnic group and gender were further examined in the best fit model. Results The bifactor model displayed superior model fit statistics supporting that a general factor underlies the various items but other subdomain factors are also needed. The HAI indicated excellent reliability (ω = 0.96, ωΗ = 0.84), replicability (H = 0.96), some support for unidimensionality (Explained Common Variance = 0.65) and some concurrent convergent validity with self-rated health. Scalar measurement invariance per ethnic group and gender was supported. Conclusions A HAI with excellent psychometric properties was created by using items of functional ability and intrinsic capacity in a subset of six low-and-middle income countries. Further research is needed to explore sub-population differences and to validate this index to other cultural settings.

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Psychometric properties of outcome measures in non‐pharmacological interventions of persons with dementia in low‐and middle‐income countries: A systematic review

Psychogeriatrics ◽

10.1111/psyg.12647 ◽

2020 ◽

Author(s):

Bharath Du ◽

Monisha Lakshminarayanan ◽

Murali Krishna ◽

Sridhar Vaitheswaran ◽

Mina Chandra ◽

...

Keyword(s):

Systematic Review ◽

Psychometric Properties ◽

Outcome Measures ◽

Pharmacological Interventions ◽

Middle Income ◽

Middle Income Countries ◽

Low And Middle Income

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Using the Very Short Form of the Children’s Behavior Questionnaire for Spanish-Speaking Populations in Low- and Middle-Income Countries: A Psychometric Analysis of Dichotomized Variables

Children ◽

10.3390/children8020074 ◽

2021 ◽

Vol 8 (2) ◽

pp. 74

Author(s):

Elsa Lucia Escalante-Barrios ◽

Sonia Mariel Suarez-Enciso ◽

Samuel P. Putnam ◽

Helen Raikes ◽

Sergi Fàbregues

Keyword(s):

Psychometric Properties ◽

Low Income ◽

Short Form ◽

Spanish Version ◽

Middle Income ◽

Middle Income Countries ◽

Spanish Speaking ◽

Children's Behavior ◽

Low Educated ◽

Low And Middle Income

While the psychometric properties of the Spanish version of the Very Short Form of the Children’s Behavior Questionnaire (CBQ-VSF) have been assessed in the US and Europe in samples composed of middle- and high-income parents with high levels of education, no studies have tested the instrument in low-income Spanish-speaking populations living in low- and middle-income countries. To fill this gap, our cross-sectional study assessed the psychometric properties of the Spanish version of the CBQ-VSF version in a sample of 315 low-income and low-educated parents with preschool children living in the Caribbean Region of Colombia. While our findings revealed problems that were similar to those identified in previous assessments of the CBQ-VSF Spanish version, they also showed unique problems related to the sociodemographic characteristics of our sample, containing many individuals with a low income and low educational level. Most of the participants gave extreme responses, resulting in a notable kurtosis and skewness of the data. This article describes how we addressed these problems by dichotomizing the variables into binary categories. Additionally, it demonstrates that merely translating the CBQ-VSF is insufficient to be able to capture many of the underlying latent constructs associated with low-income and low-educated Latino/Hispanic populations.

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