Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 1 de 1
Filtrar
Mais filtros











Base de dados
Intervalo de ano de publicação
1.
Pharmacoepidemiol Drug Saf ; 20(5): 488-96, 2011 May.
Artigo em Inglês | MEDLINE | ID: mdl-21264988

RESUMO

OBJECTIVE: To investigate the prescribing patterns and the prevalence of polypharmacy in community-dwelling elderly people, and to analyze the association of chronic medications and number of drug prescriptions with age and sex. METHODS: All prescriptions for people aged 65 years or older reimbursed by the Italian National Health Service (NHS) and dispensed by retail pharmacies of the 15 local health units (LHU) in the Lombardy Region during 2005 were analyzed. Logistic regression analysis was used to assess the association between drug prescription (overall, chronic drugs, and polypharmacy) and age, sex, and LHU of residence. RESULTS: Eighty-eight percent of the 1 ,767 ,239 analyzed elderly received at least one drug prescription. The overall prescription rate was slightly higher for women than men (odds ratio [OR] 1.20; 95%CI 1.19-1.21). Seventy-six percent of the elderly received at least one chronic drug, 46% were exposed to polypharmacy, and 20% to chronic polypharmacy. At multivariate analysis, age and LHU residence of the elderly were the main determinants of drug exposure. A significant correlation was found between the overall prescription prevalence rate and exposure to chronic drugs and to chronic polypharmacy (r(s) = 0.79, p < 0.0005 and r(s) = 0.84, p < 0.0001, respectively). CONCLUSIONS: Our findings indicate that age and LHU residence of the elderly are the main determinants of drug prescribing, and there is evidence of a significant correlation between the overall prescription prevalence rate and exposure to chronic drugs and to chronic polypharmacy.


Assuntos
Prescrições de Medicamentos/estatística & dados numéricos , Revisão de Uso de Medicamentos/estatística & dados numéricos , Polimedicação , Fatores Etários , Idoso , Bases de Dados Factuais , Feminino , Humanos , Itália , Modelos Logísticos , Masculino , Casas de Saúde/estatística & dados numéricos , Padrões de Prática Médica , Atenção Primária à Saúde/métodos , Atenção Primária à Saúde/estatística & dados numéricos , Fatores Sexuais
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA