To assess self-reported compliance with prescribed medications in a population of elderly patients prior to their hospital admission in an attempt to understand further the factors which influence drug-taking patterns.
Information which, based on personal clinical experience and published research, may impact on compliance was collected for patients by way of a chart review within 3 days of hospital admission, a search of patient computerised hospital records and an interview.
All crude data were coded and entered into a computerised relational database.
Each patient's data were assessed using the Naranjo algorithm and the score was recorded.
Chi-square analysis highlighted those factors which significantly influenced compliance, sub-divided into under-compliance (taking less medicine than prescribed) and over-compliance (taking more medicine than prescribed).
Inter-relationships between variables were investigated using multiple-regression analysis.
Overall, 13.7% of the population (n=512) reported non-compliance, with 10.7% reporting under-compliance and 4.3% reporting over-compliance.
A number of patients reported both under-and over-compliance.
Being prescribed bronchodilators, for example, was found to be associated with under-compliance, while being prescribed analgesics (excluding non-steroidal anti-inflammatories) was associated with over-compliance using Chi-square analysis. (...)
Mots-clés Pascal : Prescription médicale, Médicament, Observance thérapeutique, Homme, Vieillard, Autoévaluation, Assistance ordinateur, Analyse risque, Prévalence, Modèle
Mots-clés Pascal anglais : Medical prescription, Drug, Treatment compliance, Human, Elderly, Self evaluation, Computer aid, Risk analysis, Prevalence, Models
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 98-0080901
Code Inist : 002B30A01C. Création : 14/05/1998.