BACKGROUND: We decided to inform our patients of the withdrawal of rofecoxib, one of the largest drug withdrawals in United States history, and instruct them to contact their providers for guidance. OBJECTIVE: To identify and inform patients and providers affected by the rofecoxib withdrawal. DESIGN: Descriptive observational study. SETTING: Tertiary care center with an electronic medical record (EMR) system. PATIENTS: Patients with an active rofecoxib prescription within the EMR. INTERVENTION: Existing information technology and traditional communication resources were used to automate the identifying and notifying of patients and providers and to deactivate rofecoxib prescriptions in the EMR. MEASUREMENTS: Characteristics of patients receiving rofecoxib at our institution, details of their prescription and provider, number of EMR alerts, and medication discontinuations. RESULTS: The 11,699 patients with a rofecoxib prescription in our practice were sent notifications within 24 hours of the withdrawal. LIMITATIONS: We did not directly measure the effect of our notification on patients or providers. CONCLUSIONS: Information technology enabled our institution to rapidly identify and notify individual patients and their providers about an important drug withdrawal. The methods modeled a feasible way for health care organizations with EMRs to participate in notification processes that may be applicable in a variety of situations.
BACKGROUND: We decided to inform our patients of the withdrawal of rofecoxib, one of the largest drug withdrawals in United States history, and instruct them to contact their providers for guidance. OBJECTIVE: To identify and inform patients and providers affected by the rofecoxib withdrawal. DESIGN: Descriptive observational study. SETTING: Tertiary care center with an electronic medical record (EMR) system. PATIENTS: Patients with an active rofecoxib prescription within the EMR. INTERVENTION: Existing information technology and traditional communication resources were used to automate the identifying and notifying of patients and providers and to deactivate rofecoxib prescriptions in the EMR. MEASUREMENTS: Characteristics of patients receiving rofecoxib at our institution, details of their prescription and provider, number of EMR alerts, and medication discontinuations. RESULTS: The 11,699 patients with a rofecoxib prescription in our practice were sent notifications within 24 hours of the withdrawal. LIMITATIONS: We did not directly measure the effect of our notification on patients or providers. CONCLUSIONS: Information technology enabled our institution to rapidly identify and notify individual patients and their providers about an important drug withdrawal. The methods modeled a feasible way for health care organizations with EMRs to participate in notification processes that may be applicable in a variety of situations.
Authors: Adrienne S Allen; John P Forman; E John Orav; David W Bates; Bradley M Denker; Thomas D Sequist Journal: J Gen Intern Med Date: 2010-10-05 Impact factor: 5.128
Authors: Peter J Embi; Prasad Acharya; Mark McCuistion; Charles P Kishman; Doris Haag; Stephen Marine Journal: J Med Internet Res Date: 2006-09-06 Impact factor: 5.428
Authors: Adam Wright; Elizabeth A McGlinchey; Eric G Poon; Chelsea A Jenter; David W Bates; Steven R Simon Journal: J Med Internet Res Date: 2009-08-10 Impact factor: 5.428