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J Am Med Dir Assoc ; 15(11): 830-4, 2014.
Artigo em Inglês | MEDLINE | ID: mdl-25304180

RESUMO

OBJECTIVES: The Beers (2012) criteria and the screening tool of older persons' potentially inappropriate prescriptions (STOPP) criteria are often used to identify potentially inappropriate medication (PIM) use in elderly patients. The aim of this study is to determine the prevalence of PIM use in nursing home residents (NHRs) aged ≥65 years presenting to the Emergency Department (ED); to compare the Beers and STOPP criteria and to identify the potential role of PIMs in ED attendances. SETTING: The ED of an urban tertiary referral hospital. PARTICIPANTS: Acutely unwell long-term care NHRs seeking medical assistance at the ED. DESIGN AND MEASUREMENTS: This is a retrospective cohort study. Demographic and clinical data were retrieved from the ED electronic record system, from the clinical records, and transfer letters for all NHRs who attended the ED in 2011. Beers 2012 and STOPP criteria were used to identify PIMs. RESULTS: Of 195 NHRs identified, 165 were included. The mean age (±standard deviation) was 82.5 (±7.7) years; 110 (66.7%) were female and 157 (95.2%) were prescribed at least 1 PIM by either criterion. One hundred forty patients (84.8%) received a PIM according to STOPP criteria and 147 (89.1%) according to the Beers criteria. In the majority of patients (148; 89.7%), there was a difference in the medications Beers and STOPP identified as inappropriate. Fifty patients (30.3%) were considered to have a link between their attendance at ED and the PIM prescribed when assessed subjectively. Objective assessment using the WHO-UMC criteria found 7 (4.2%) had a 'probable' link and 45 (27.3%) a 'possible' link. CONCLUSIONS: These results show a high rate of PIM prescribing in this cohort. The use of criteria such as Beers and STOPP may be a useful guide for physicians coordinating the long-term care of NHRs and may have the potential to reduce attendances at ED.


Assuntos
Serviço Hospitalar de Emergência , Prescrição Inadequada , Casas de Saúde , Idoso , Registros Eletrônicos de Saúde , Feminino , Humanos , Prescrição Inadequada/estatística & dados numéricos , Masculino , Transferência de Pacientes , Estudos Retrospectivos , Medição de Risco/normas
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