Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Przeglądasz jako GOŚĆ
Tytuł pozycji:

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

Tytuł :
Development and use of a computer program to detect potentially inappropriate prescribing in older adults residing in Canadian long-term care facilities
Autorzy :
Ferko Nicole
Dubois Sacha
Campbell Glenda
Bedard Michel
Papaioannou Alexandra
Heckman George
Flett Norman
Pokaż więcej
Temat :
inappropriate prescribing
long-term care
drug database
computer program
elderly
Geriatrics
RC952-954.6
Źródło :
BMC Geriatrics, Vol 2, Iss 1, p 5 (2002)
Wydawca :
BMC, 2002.
Rok publikacji :
2002
Kolekcja :
LCC:Geriatrics
Typ dokumentu :
article
Opis pliku :
electronic resource
Język :
English
ISSN :
1471-2318
Relacje :
http://www.biomedcentral.com/1471-2318/2/5; https://doaj.org/toc/1471-2318
DOI :
10.1186/1471-2318-2-5
Dostęp URL :
https://doaj.org/article/e426a363ac324d63b8db01aaf68c8854
Numer akcesji :
edsdoj.426a363ac324d63b8db01aaf68c8854
Czasopismo naukowe
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 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. Results There 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. Conclusion A 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.

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies