logo BDSP

Base documentaire


Votre avis nous intéresse

Le réseau BDSP met en oeuvre un projet d'innovation et d'amélioration de ses services, dans le souci constant de proposer des contenus de qualité adaptés aux besoins des utilisateurs.

Identifier de nouvelles sources de financements est la condition nécessaire pour assurer la poursuite et la pérennité de cet outil unique qu'est la BDSP, tout en le faisant évoluer.

Pour définir un nouveau modèle économique, nous avons besoin de votre avis : merci de répondre à notre enquête (temps estimé : 5 minutes).

Participer maintenant
Participer plus tard J'ai déjà participé

  1. Determinants of non-compliance and attrition in the elderly.

    Article - En anglais

    Background

    This report identifies demographic and health-related baseline factors associated with non-compliance and attrition in elderly subjects participating in a preventive intervention study over a 4-year follow-up period.

    Methods

    The Cox proportional hazards model and polychotomous logistic regression were used to evaluate time to clinic assessment non-compliance and type of non-participation.

    Results

    Of 1785 subjects, 35.6% were non-compliant during follow-up which meant they were eligible to participate at the time they were contacted but would not or could not return for an assessment.

    Refusals due to a lack of continuing interest or being too busy, and those citing health problems constituted the major subgroups of non-compliers.

    Death, unable to contact, and ineligible due to disenrolment or moving away accounted for nearly 20%. Four-year compliance was achieved by 44.4% of the participants.

    Time to non-compliance was significantly shorter with older age, lower annual income, poorer personal health ranking, and, to a marginal extent, depression.

    Lower annual income was associated with all reasons for non-participation including disenrolment or moving.

    Other factors correlated with specific types of non-participation.

    Conclusions

    These results can be useful in designing more effective cohort maintenance strategies.

    Greater resources may be allocated to subgroups who are less likely to continue.

    Mots-clés Pascal : Etude longitudinale, Etude cohorte, Participation, Vieillard, Programme sanitaire, Prévention, Analyse régression, Méthodologie, Observance, Perte effectif, Homme

    Mots-clés Pascal anglais : Follow up study, Cohort study, Participation, Elderly, Sanitary program, Prevention, Regression analysis, Methodology, Human

    Logo du centre Notice produite par :
    Inist-CNRS - Institut de l'Information Scientifique et Technique

    Cote : 96-0244458

    Code Inist : 002B30A01C. Création : 199608.