SciELO - Scientific Electronic Library Online

 
vol.25 número3El valor de los apoyos para el bienestar subjetivo al vivir con esquizofreniaGestión de la calidad de los cuidados de enfermería hospitalaria basada en la evidencia científica índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

Artigo

Indicadores

Links relacionados

  • Em processo de indexaçãoCitado por Google
  • Não possue artigos similaresSimilares em SciELO
  • Em processo de indexaçãoSimilares em Google

Compartilhar


Index de Enfermería

versão On-line ISSN 1699-5988versão impressa ISSN 1132-1296

Resumo

PUIGVERT VILALTA, Margarita; MARTI LLUCH, Ruth; PONJOAN THANS, Anna  e  RAMOS BLANES, Rafel. Prediction of dependency in the elderly attended in primary health care. Index Enferm [online]. 2016, vol.25, n.3, pp.146-150. ISSN 1699-5988.

Objective: To identify the elderly population attended in primary health care with more risk of becoming dependent for activities of daily living. Methods: A longitudinal study, based on data recorded in the medical record of people from 75 years old. We constructed a Cox models to determine the risk of becoming dependent on the follow up. The discrimination capacity of the model was estimated with the concordance index. Results: The model showed as predictors of dependency: the mental impairment, according to the Pfeiffer test, severe (HR: 3,02; 95% CI 2,03-4,49) or moderate (HR: 1,35; 95% CI 1,08 to 1,68), homecare situation (HR: 1,82; 95% CI 1,44 to 2,31) and to have recorded history of falls (HR: 1,51; 95% CI 1,20 to 1,90). The C index of the derivation model was 0,72 (95% CI 0,68 to 0,76). Conclusions: The model accurately predicts patients most likely to be dependent.

Palavras-chave : Health of the Elderly; Risk Assessment; Activities of Daily Living; Falls; Cognitive Impairment.

        · resumo em Espanhol     · texto em Espanhol

 

Creative Commons License Todo o conteúdo deste periódico, exceto onde está identificado, está licenciado sob uma Licença Creative Commons