OBJECTIVE: To identify medications that have a high risk of adverse drug effects (ADEs) among seniors, using data from publicly available administrative databases. DESIGN: Cross-sectional study using the Discharge Abstracts Database (DAD) (which contains data on acute care institutions in all provinces and territories except Quebec), the National Ambulatory Care Reporting System (NACRS) (which contains data on emergency department [ED] visits in Ontario), and the IMS Brogan database Canadian CompuScript. SETTING: Canada. PARTICIPANTS: Adults 65 years of age and older with diagnostic codes for drugs, medicaments, and biologic substances causing adverse effects in therapeutic use. MAIN OUTCOME MEASURES: Adverse drug events from 2006 to 2008 associated with hospitalizations and ED visits among adults 65 years of age and older were identified by the DAD and the NACRS. The medications most frequently prescribed by primary care providers in 2008 were identified using data from Canadian CompuScript. RESULTS: From 2006 to 2008, the DAD identified 92 141 ADEs among older adults, and the NACRS identified 23 845 ADEs among older adults in Ontario EDs, which represented 2.9% of inpatients and 0.8% of ED patients (21.5% of whom were admitted to hospital). Drugs implicated in the DAD ADEs included anticoagulants (15.4%), antineoplastic agents (10.6%), opioids (9.2%), and nonsteroidal anti-inflammatory drugs (6.5%); drugs included in the ADEs of ED visits were anti-infective agents (15.9%), anticoagulants (14.2%), antineoplastic agents (9.6%), and opioids (7.3%). CONCLUSION: Among older adults, the drug classes most often associated with causing harm in the hospital setting and occurring out of proportion to the frequency prescribed were anticoagulants, opioids, antibiotics, and cardiovascular drugs. Thus, these drug classes should be the focus of quality improvement efforts in primary care.
OBJECTIVE: To identify medications that have a high risk of adverse drug effects (ADEs) among seniors, using data from publicly available administrative databases. DESIGN: Cross-sectional study using the Discharge Abstracts Database (DAD) (which contains data on acute care institutions in all provinces and territories except Quebec), the National Ambulatory Care Reporting System (NACRS) (which contains data on emergency department [ED] visits in Ontario), and the IMS Brogan database Canadian CompuScript. SETTING: Canada. PARTICIPANTS: Adults 65 years of age and older with diagnostic codes for drugs, medicaments, and biologic substances causing adverse effects in therapeutic use. MAIN OUTCOME MEASURES: Adverse drug events from 2006 to 2008 associated with hospitalizations and ED visits among adults 65 years of age and older were identified by the DAD and the NACRS. The medications most frequently prescribed by primary care providers in 2008 were identified using data from Canadian CompuScript. RESULTS: From 2006 to 2008, the DAD identified 92 141 ADEs among older adults, and the NACRS identified 23 845 ADEs among older adults in Ontario EDs, which represented 2.9% of inpatients and 0.8% of ED patients (21.5% of whom were admitted to hospital). Drugs implicated in the DAD ADEs included anticoagulants (15.4%), antineoplastic agents (10.6%), opioids (9.2%), and nonsteroidal anti-inflammatory drugs (6.5%); drugs included in the ADEs of ED visits were anti-infective agents (15.9%), anticoagulants (14.2%), antineoplastic agents (9.6%), and opioids (7.3%). CONCLUSION: Among older adults, the drug classes most often associated with causing harm in the hospital setting and occurring out of proportion to the frequency prescribed were anticoagulants, opioids, antibiotics, and cardiovascular drugs. Thus, these drug classes should be the focus of quality improvement efforts in primary care.
Authors: Jerry H Gurwitz; Terry S Field; James Judge; Paula Rochon; Leslie R Harrold; Cynthia Cadoret; Monica Lee; Kathleen White; Jane LaPrino; Janet Erramuspe-Mainard; Martin DeFlorio; Linda Gavendo; Jill Auger; David W Bates Journal: Am J Med Date: 2005-03 Impact factor: 4.965
Authors: Peter J Zed; Riyad B Abu-Laban; Robert M Balen; Peter S Loewen; Corinne M Hohl; Jeffrey R Brubacher; Kerry Wilbur; Matthew O Wiens; Leslie J Samoy; Katie Lacaria; Roy A Purssell Journal: CMAJ Date: 2008-06-03 Impact factor: 8.262
Authors: Daniel S Budnitz; Daniel A Pollock; Kelly N Weidenbach; Aaron B Mendelsohn; Thomas J Schroeder; Joseph L Annest Journal: JAMA Date: 2006-10-18 Impact factor: 56.272
Authors: D W Bates; J M Teich; J Lee; D Seger; G J Kuperman; N Ma'Luf; D Boyle; L Leape Journal: J Am Med Inform Assoc Date: 1999 Jul-Aug Impact factor: 4.497
Authors: Tejal K Gandhi; Saul N Weingart; Joshua Borus; Andrew C Seger; Josh Peterson; Elisabeth Burdick; Diane L Seger; Kirstin Shu; Frank Federico; Lucian L Leape; David W Bates Journal: N Engl J Med Date: 2003-04-17 Impact factor: 91.245
Authors: D W Bates; L L Leape; D J Cullen; N Laird; L A Petersen; J M Teich; E Burdick; M Hickey; S Kleefield; B Shea; M Vander Vliet; D L Seger Journal: JAMA Date: 1998-10-21 Impact factor: 56.272
Authors: Miney Paquette; Daniel M Witt; Anne Holbrook; Jane Skov; Jack Ansell; Holger J Schünemann; Wojtek Wiercioch; Robby Nieuwlaat Journal: Blood Adv Date: 2019-05-28
Authors: Lisa Dolovich; Zubin Austin; Nancy Waite; Feng Chang; Barbara Farrell; Kelly Grindrod; Sherilyn Houle; Lisa McCarthy; Lori MacCallum; Beth Sproule Journal: Can Pharm J (Ott) Date: 2018-12-25
Authors: Petros Pechlivanoglou; Lusine Abrahamyan; Linda MacKeigan; Giulia P Consiglio; Lisa Dolovich; Ping Li; Suzanne M Cadarette; Valeria E Rac; Jonghyun Shin; Murray Krahn Journal: BMC Health Serv Res Date: 2016-11-21 Impact factor: 2.655