Your browser doesn't support javascript.
loading
The D-score: a metric for interpreting the early development of infants and toddlers across global settings.
Weber, Ann M; Rubio-Codina, Marta; Walker, Susan P; van Buuren, Stef; Eekhout, Iris; Grantham-McGregor, Sally M; Araujo, Maria Caridad; Chang, Susan M; Fernald, Lia Ch; Hamadani, Jena Derakhshani; Hanlon, Charlotte; Karam, Simone M; Lozoff, Betsy; Ratsifandrihamanana, Lisy; Richter, Linda; Black, Maureen M.
Afiliação
  • Weber AM; School of Community Health Sciences, University of Nevada Reno, Reno, Nevada, USA.
  • Rubio-Codina M; Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA.
  • Walker SP; Inter-American Development Bank, Washington, District of Columbia, USA.
  • van Buuren S; Caribbean Institute for Health Research, University of the West Indies, Kingston, Jamaica.
  • Eekhout I; Netherlands Organization for Applied Scientific Research TNO, Leiden, Netherlands.
  • Grantham-McGregor SM; Methodology & Statistics, Utrecht University, Utrecht, Netherlands.
  • Araujo MC; Netherlands Organization for Applied Scientific Research TNO, Leiden, Netherlands.
  • Chang SM; Institute of Child Health, University College London, London, UK.
  • Fernald LC; Inter-American Development Bank, Washington, District of Columbia, USA.
  • Hamadani JD; Caribbean Institute for Health Research, University of the West Indies, Kingston, Jamaica.
  • Hanlon C; School of Public Health, University of California Berkeley, Berkeley, California, USA.
  • Karam SM; Maternal and Child Health Division, icddr,b, Dhaka, Bangladesh.
  • Lozoff B; Institute of Psychiatry, Psychology and Neuroscience, Health Service and Population Research Department, Centre for Global Mental Health, King's College London, London, UK.
  • Ratsifandrihamanana L; Department of Psychiatry, WHO Collaborating Centre for Mental Health Research and Capacity Building, School of Medicine, and Centre for Innovative Drug Development and Therapeutic Trials for Africa (CDT-Africa), College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
  • Richter L; Department of Pediatrics, Federal University of Rio Grande, Rio Grande, Brazil.
  • Black MM; Center for Human Growth and Development, University of Michigan, Ann Arbor, Michigan, USA.
BMJ Glob Health ; 4(6): e001724, 2019.
Article em En | MEDLINE | ID: mdl-31803508
ABSTRACT

INTRODUCTION:

Early childhood development can be described by an underlying latent construct. Global comparisons of children's development are hindered by the lack of a validated metric that is comparable across cultures and contexts, especially for children under age 3 years. We constructed and validated a new metric, the Developmental Score (D-score), using existing data from 16 longitudinal studies.

METHODS:

Studies had item-level developmental assessment data for children 0-48 months and longitudinal outcomes at ages >4-18 years, including measures of IQ and receptive vocabulary. Existing data from 11 low-income, middle-income and high-income countries were merged for >36 000 children. Item mapping produced 95 'equate groups' of same-skill items across 12 different assessment instruments. A statistical model was built using the Rasch model with item difficulties constrained to be equal in a subset of equate groups, linking instruments to a common scale, the D-score, a continuous metric with interval-scale properties. D-score-for-age z-scores (DAZ) were evaluated for discriminant, concurrent and predictive validity to outcomes in middle childhood to adolescence.

RESULTS:

Concurrent validity of DAZ with original instruments was strong (average r=0.71), with few exceptions. In approximately 70% of data rounds collected across studies, DAZ discriminated between children above/below cut-points for low birth weight (<2500 g) and stunting (-2 SD below median height-for-age). DAZ increased significantly with maternal education in 55% of data rounds. Predictive correlations of DAZ with outcomes obtained 2-16 years later were generally between 0.20 and 0.40. Correlations equalled or exceeded those obtained with original instruments despite using an average of 55% fewer items to estimate the D-score.

CONCLUSION:

The D-score metric enables quantitative comparisons of early childhood development across ages and sets the stage for creating simple, low-cost, global-use instruments to facilitate valid cross-national comparisons of early childhood development.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article