Portuguese
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Journal of Child Neurology 2017-Jul

Psychometric Properties of the Psychosocial Assessment Tool-Chronic Pain Version in Families of Children With Headache.

Apenas usuários registrados podem traduzir artigos
Entrar Inscrever-se
O link é salvo na área de transferência
Kristine Woods
Sarah Ostrowski-Delahanty

Palavras-chave

Resumo

Children with headache disorders are at increased psychosocial risk, and no validated screening measures exist to succinctly assess for risk. This study examined the psychometric properties of the Psychosocial Assessment Tool-Chronic Pain, a previously adapted screening measure of risk, in a retrospective sample of families of children diagnosed with headaches. Participants included 127 children and caregivers presenting for behavioral health evaluation of headache. Children and their primary caregivers completed several psychosocial assessment measures. Internal consistency for the Psychosocial Assessment Tool-Chronic Pain total score was high (α = 0.80), and all subscale scores had moderate to high internal consistency (α = 0.597-0.88), with the exception of the caregiver beliefs subscale (α = 0.443). The total score and the majority of subscale scores on the Psychosocial Assessment Tool-Chronic Pain were correlated with caregiver- and child-reported scores on study measures. The results demonstrate that the Psychosocial Assessment Tool-Chronic Pain has adequate psychometric properties, and because of the brief administration time, ease of scoring, and accessibility of the measure, it is a promising measure of screening for psychosocial risk in this population.

Junte-se à nossa
página do facebook

O mais completo banco de dados de ervas medicinais apoiado pela ciência

  • Funciona em 55 idiomas
  • Curas herbais apoiadas pela ciência
  • Reconhecimento de ervas por imagem
  • Mapa GPS interativo - marcar ervas no local (em breve)
  • Leia publicações científicas relacionadas à sua pesquisa
  • Pesquise ervas medicinais por seus efeitos
  • Organize seus interesses e mantenha-se atualizado com as notícias de pesquisa, testes clínicos e patentes

Digite um sintoma ou doença e leia sobre ervas que podem ajudar, digite uma erva e veja as doenças e sintomas contra os quais ela é usada.
* Todas as informações são baseadas em pesquisas científicas publicadas

Google Play badgeApp Store badge