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Development and use of a computer program to detect potentially inappropriate prescribing in older adults residing in Canadian long-term care facilities

Authors
Publisher
BioMed Central
Publication Date
Source
PMC
Keywords
  • Research Article
Disciplines
  • Pharmacology

Abstract

1471-2318-2-5.fm ral ss BioMed CentBMC Geriatrics Open AcceBMC Geriatrics 2002, 2 xResearch article Development and use of a computer program to detect potentially inappropriate prescribing in older adults residing in Canadian long-term care facilities Alexandra Papaioannou*1, Michel Bedard2, Glenda Campbell3, Sacha Dubois4, Nicole Ferko5, George Heckman6 and Norman Flett7 Address: 1Division of Geriatric Medicine, McMaster University Hamilton, Ontario, Canada, 2Lakehead Psychiatric Hospital, Thunderbay, Ontario, Canada, 3Medical Pharmacies Ltd. Pickering Ontario, Canada, 4Department of Clinical Epidemiology and Biostatistics, McMaster University Hamilton, Ontario, Canada, 5Department of Clinical Health Sciences, McMaster University Hamilton, Ontario, Canada, 6Department of Medicine, McMaster University Hamilton, Ontario, Canada and 7St. Joseph's Villa Dundas, Ontario, Canada E-mail: Alexandra Papaioannou* - [email protected]; Michel Bedard - [email protected]; Glenda Campbell - [email protected]; Sacha Dubois - [email protected]; Nicole Ferko - [email protected]; George Heckman - [email protected]; Norman Flett - [email protected] *Corresponding author Keywords: inappropriate prescribing, long-term care, drug database, computer program, eld- erly Abstract Background: Inappropriate prescribing has been estimated to be as high as 40% in long-term care. The purpose of this study was to develop a computer program that identifies potentially inappropriate drug prescriptions and to test its reliability. Methods: Potentially inappropriate prescriptions were identified based on modified McLeod guidelines. A database from one pharmacy servicing long-term care facilities in Ontario was utilized for this cross-sectional study. Prescription information was available for the 356 long-term care residents and included: the date the prescription was filled, the quantity of drug prescribed and the eight-digit drug identification number. The pharmacy database was l

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