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

Alexandra Papaioannou,Sacha Dubois,Norman Flett,Glenda Campbell,George Heckman,Nicole Ferko,Michel Bedard

doi:10.1186/1471-2318-2-5

Alexandra Papaioannou, Sacha Dubois + Show 5 more

Open Access

https://doi.org/10.1186/1471-2318-2-5

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Journal: BMC Geriatrics	Publication Date: Oct 14, 2002
Citations: 16	License type: cc-by

Affiliation: McMaster University, Purdue Pharma (Canada)

Abstract

BackgroundInappropriate 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.MethodsPotentially 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 linked to the computer-based program for targeting potential inappropriate prescriptions. The computer program's reliability was assessed by comparing its results to a manual search conducted by two independent research assistants.ResultsThere was complete agreement between the computer and manual abstraction for the total number of potentially inappropriate prescriptions detected. In total, 83 potentially inappropriate prescriptions were identified. Fifty-three residents (14.9%) received at least one potentially inappropriate prescription. Of those, twenty (37.7%) received two potential inappropriate prescriptions and eight (15.1%) received 3 or more potential inappropriate prescriptions. The most common potential inappropriate prescriptions were identified as long-term use of non-steroidal anti-inflammatory agents and tricyclic antidepressants with active metabolites.ConclusionA computer program can accurately and automatically detect inappropriate prescribing in residents of long-term care facilities. This tool may be used to identify potentially inappropriate drug combinations and educate health care professionals.

Highlights

Inappropriate prescribing has been estimated to be as high as 40% in long-term care
Functional impairment and cognitive deficits contribute to a higher risk of adverse drug reactions in the elderly residing in long-term care [7]
The computer program identified all of the potential inappropriate prescriptions as modified from the McLeod guidelines that were captured in the manual abstraction

Summary

Introduction

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. 25% of seniors over the age of 85 years reside in long-term care facilities in the United States [1]. These individuals are prescribed a greater number of medications than those residing in the community [2,3]. Adverse outcomes, including hospital admissions, increased cost and delirium have been associated with inappropriate prescribing [6,8,9,10] Guidelines in both Canada [11] and the United States [12,13] have been developed to guide prescribing for the elderly.

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