Brian C Lund1, Mary C Schroeder, Grant Middendorff, John M Brooks. 1. Center for Comprehensive Access and Delivery Research and Evaluation, Iowa City Veterans Affairs Health Care System, Iowa City, Iowa; Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, Iowa.
Abstract
OBJECTIVES: To determine whether acute hospitalization is associated with a change in potentially inappropriate medication (PIM) use and whether use varies across geographic region. DESIGN: Observational. SETTING: Continental United States. PARTICIPANTS: Medicare beneficiaries aged 65 and older hospitalized for acute myocardial infarction (AMI) during 2007-08. MEASUREMENTS: Potentially inappropriate medication use was defined according to the High-Risk Medications in Elderly Adults quality indicator from the Healthcare Effectiveness Data and Information Set. Prevalence of outpatient PIM use was determined at admission and discharge and then used to identify medications discontinued during hospitalization and incident medications started during this period. RESULTS: Of 124,051 older adults hospitalized for AMI, 9,607 (7.7%) were outpatient PIM users at admission, which increased to 8.6% at discharge (P < .001). Admission PIM rates varied according to geographic region, as did the effect of hospitalization. Admission PIM use was lowest in the northeast and remained unchanged during hospitalization (5.1-5.1%, P = .95). In contrast, admission PIM use was highest in the south and increased significantly during hospitalization (9.9-11.4%, P < .001). PIM use also increased from the long-term perspective, with 6-month period prevalence rates of 22.6% before admission and 24.6% after discharge (P < .001). CONCLUSION: Despite intervention studies demonstrating up to 80% reduction in PIM use during acute hospitalization, a significant increase in PIM use was observed in a naturalistic setting in Medicare beneficiaries with AMI. Further research is needed to develop an approach to minimizing PIM use in the inpatient setting that is cost-effective and suitable for widespread implementation.
OBJECTIVES: To determine whether acute hospitalization is associated with a change in potentially inappropriate medication (PIM) use and whether use varies across geographic region. DESIGN: Observational. SETTING: Continental United States. PARTICIPANTS: Medicare beneficiaries aged 65 and older hospitalized for acute myocardial infarction (AMI) during 2007-08. MEASUREMENTS: Potentially inappropriate medication use was defined according to the High-Risk Medications in Elderly Adults quality indicator from the Healthcare Effectiveness Data and Information Set. Prevalence of outpatient PIM use was determined at admission and discharge and then used to identify medications discontinued during hospitalization and incident medications started during this period. RESULTS: Of 124,051 older adults hospitalized for AMI, 9,607 (7.7%) were outpatient PIM users at admission, which increased to 8.6% at discharge (P < .001). Admission PIM rates varied according to geographic region, as did the effect of hospitalization. Admission PIM use was lowest in the northeast and remained unchanged during hospitalization (5.1-5.1%, P = .95). In contrast, admission PIM use was highest in the south and increased significantly during hospitalization (9.9-11.4%, P < .001). PIM use also increased from the long-term perspective, with 6-month period prevalence rates of 22.6% before admission and 24.6% after discharge (P < .001). CONCLUSION: Despite intervention studies demonstrating up to 80% reduction in PIM use during acute hospitalization, a significant increase in PIM use was observed in a naturalistic setting in Medicare beneficiaries with AMI. Further research is needed to develop an approach to minimizing PIM use in the inpatient setting that is cost-effective and suitable for widespread implementation.
Keywords:
Healthcare Effectiveness Data and Information Set measures; Medicare; acute myocardial infarction; potentially inappropriate prescribing; quality of care
Authors: Alessandro Morandi; Eduard E Vasilevskis; Pratik P Pandharipande; Timothy D Girard; Laurence M Solberg; Erin B Neal; Tyler Koestner; Renee Torres; Jennifer L Thompson; Ayumi K Shintani; Jin H Han; John Schnelle; Donna M Fick; E Wesley Ely; Sunil Kripalani Journal: Arch Intern Med Date: 2011-06-13
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: Alan J Zillich; Kenneth Shay; Barbara Hyduke; Thomas R Emmendorfer; Alan M Mellow; Steven R Counsell; Mark A Supiano; Peter Woodbridge; Pamela Reeves Journal: J Am Geriatr Soc Date: 2008-06-04 Impact factor: 5.562
Authors: Mary Jo V Pugh; Zachary A Marcum; Laurel A Copeland; Eric M Mortensen; John E Zeber; Polly H Noël; Dan R Berlowitz; John R Downs; Chester B Good; Carlos Alvarez; Megan E Amuan; Joseph T Hanlon Journal: Drugs Aging Date: 2013-08 Impact factor: 3.923
Authors: Dedan Opondo; Saied Eslami; Stefan Visscher; Sophia E de Rooij; Robert Verheij; Joke C Korevaar; Ameen Abu-Hanna Journal: PLoS One Date: 2012-08-22 Impact factor: 3.240
Authors: Dirk Heider; Herbert Matschinger; Andreas D Meid; Renate Quinzler; Jürgen-Bernhard Adler; Christian Günster; Walter E Haefeli; Hans-Helmut König Journal: Drugs Aging Date: 2017-04 Impact factor: 3.923
Authors: Emily Kay Hollingsworth; Avantika Saraf Shah; Matthew Stephen Shotwell; Sandra Faye Simmons; Eduard Eric Vasilevskis Journal: J Appl Gerontol Date: 2022-03
Authors: Avantika A Saraf; Alec W Petersen; Sandra F Simmons; John F Schnelle; Susan P Bell; Sunil Kripalani; Amy P Myers; Amanda S Mixon; Emily A Long; J Mary Lou Jacobsen; Eduard E Vasilevskis Journal: J Hosp Med Date: 2016-06-03 Impact factor: 2.960
Authors: Stephanie K Nothelle; Ritu Sharma; Allison H Oakes; Madeline Jackson; Jodi B Segal Journal: J Am Med Dir Assoc Date: 2017-07-29 Impact factor: 4.669
Authors: James A G Crispo; Allison W Willis; Dylan P Thibault; Yannick Fortin; Harlen D Hays; Douglas S McNair; Lise M Bjerre; Dafna E Kohen; Santiago Perez-Lloret; Donald R Mattison; Daniel Krewski Journal: PLoS One Date: 2016-03-03 Impact factor: 3.240