Adapting a measure of quality of life to children with Down Syndrome for the development of evidence-based interventions

  1. Laura E. Gómez 1
  2. Miguel A. Verdugo
  3. Mar Rodríguez
  4. Lucía Morán 1
  5. Víctor B. Arias 1
  6. Asunción Monsalve 1
  1. 1 Universidad de Oviedo
    info

    Universidad de Oviedo

    Oviedo, España

    ROR https://ror.org/006gksa02

Revista:
Psychosocial Intervention

ISSN: 1132-0559

Ano de publicación: 2020

Volume: 29

Número: 1

Páxinas: 39-48

Tipo: Artigo

DOI: 10.5093/PI2019A17 DIALNET GOOGLE SCHOLAR lock_openAcceso aberto editor

Outras publicacións en: Psychosocial Intervention

Obxectivos de Desenvolvemento Sustentable

Resumo

Research has highlighted that no instrument with adequate evidence of validity and reliability currently exists to assess quality of life (QoL) in children with Down syndrome (DS). Important limitations have been pointed out when existingQoL instruments for children with intellectual disability are applied to this population. The main goal of this research is to adapt the KidsLife scale by selecting the most reliable and discriminant items for children and youth with DS. The sample was composed of 405 children with DS, aged between 4 and 21 years old, attending organizations that provide educational, social, and health services. The field-test version of the KidsLife scale was administered as an informantreport, completed by someone who knew the child well, and who had opportunities to observe him/her over long periods of time in different situations. Evidence of reliability and validity based on the internal structure of the scale is provided.According to the QoL model used to develop the scale, the solution showing the best fit to the data was the one with eight intercorrelated domains. Finally, the implications of the study, its limitations and suggestions for future researchare discussed.

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Información de financiamento

This study has been funded by the Ministry of Economic and Competitiveness of Spain (PSI2012-33139).

Financiadores

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Fonte de datos: Dialnet