OBJECTIVES: To determine whether a computerized tool that alerted pharmacists when patients aged 65 and older were newly prescribed potentially inappropriate medications was effective in decreasing the proportion of patients dispensed these medications. DESIGN: Prospective, randomized trial. SETTING: U.S. health maintenance organization. PARTICIPANTS: All 59,680 health plan members aged 65 and older were randomized to intervention (n=29,840) or usual care (n=29,840). Pharmacists received alerts on all patients randomized to intervention who were newly prescribed a targeted medication. INTERVENTION: Prescription and age information were linked to alert pharmacists when a patient aged 65 and older was newly prescribed one of 11 medications that are potentially inappropriate in older people. MEASUREMENTS: Physicians and pharmacists collaborated to develop the targeted medication list, indications for medication use for which an intervention should occur, intervention guidelines and scripts, and to implement the intervention. RESULTS: Over the 1-year study, 543 (1.8%) intervention group patients aged 65 and older were newly dispensed prescriptions for targeted medications, compared with 644 (2.2%) usual care group patients (P=.002). For medication use indications in which an intervention should occur, dispensings of amitriptyline (P<.001) and diazepam (P=.02) were reduced. CONCLUSIONS: This study demonstrated the effectiveness of a computerized pharmacy alert system plus collaboration between healthcare professionals in decreasing potentially inappropriate medication dispensings in elderly patients. Coupling data available from information systems with the knowledge and skills of physicians and pharmacists can improve prescribing safety in patients aged 65 and older.
RCT Entities:
OBJECTIVES: To determine whether a computerized tool that alerted pharmacists when patients aged 65 and older were newly prescribed potentially inappropriate medications was effective in decreasing the proportion of patients dispensed these medications. DESIGN: Prospective, randomized trial. SETTING: U.S. health maintenance organization. PARTICIPANTS: All 59,680 health plan members aged 65 and older were randomized to intervention (n=29,840) or usual care (n=29,840). Pharmacists received alerts on all patients randomized to intervention who were newly prescribed a targeted medication. INTERVENTION: Prescription and age information were linked to alert pharmacists when a patient aged 65 and older was newly prescribed one of 11 medications that are potentially inappropriate in older people. MEASUREMENTS: Physicians and pharmacists collaborated to develop the targeted medication list, indications for medication use for which an intervention should occur, intervention guidelines and scripts, and to implement the intervention. RESULTS: Over the 1-year study, 543 (1.8%) intervention group patients aged 65 and older were newly dispensed prescriptions for targeted medications, compared with 644 (2.2%) usual care group patients (P=.002). For medication use indications in which an intervention should occur, dispensings of amitriptyline (P<.001) and diazepam (P=.02) were reduced. CONCLUSIONS: This study demonstrated the effectiveness of a computerized pharmacy alert system plus collaboration between healthcare professionals in decreasing potentially inappropriate medication dispensings in elderly patients. Coupling data available from information systems with the knowledge and skills of physicians and pharmacists can improve prescribing safety in patients aged 65 and older.
Authors: Hayden B Bosworth; Bradi B Granger; Phil Mendys; Ralph Brindis; Rebecca Burkholder; Susan M Czajkowski; Jodi G Daniel; Inger Ekman; Michael Ho; Mimi Johnson; Stephen E Kimmel; Larry Z Liu; John Musaus; William H Shrank; Elizabeth Whalley Buono; Karen Weiss; Christopher B Granger Journal: Am Heart J Date: 2011-09 Impact factor: 4.749
Authors: Steven M Handler; Joseph T Hanlon; Subashan Perera; Yazan F Roumani; David A Nace; Douglas B Fridsma; Melissa I Saul; Nicholas G Castle; Stephanie A Studenski Journal: J Am Geriatr Soc Date: 2008-03-21 Impact factor: 5.562