OBJECTIVE: To identify the prevalence of potentially preventable medication-related hospitalizations amongst elderly Australian veterans by applying clinical indicators to administrative claims data. DESIGN AND SETTING: Retrospective cohort study in the Australian veteran population from 1 January 2004 to 31 December 2008. PARTICIPANTS: A total of 109 044 veterans with one or more hospitalizations defined by the medication-related clinical indicator set, during the 5-year study period. MAIN OUTCOME MEASURE: The prevalence of potentially preventable medication-related hospitalizations as a proportion of all hospitalizations defined by the clinical indicator set. RESULTS: During the 5-year study period, there were a total of 1 630 008 hospital admissions of which 216 527 (13.3%) were for conditions defined by the medication-related clinical indicator set for 109 044 veterans. The overall proportion of potentially preventable medication-related hospitalizations was 20.3% (n= 43 963). Of the 109 044 veterans included in the study, 28 044 (25.7%) had at least one potentially preventable medication-related hospitalization and 7245 (6.6%) veterans had two or more potentially preventable admissions. Conditions with both a high prevalence of hospitalization and preventability included asthma/chronic obstructive pulmonary disorder, depression and thromboembolic cerebrovascular event (23.3, 18.5 and 18.3%, respectively, were potentially preventable). Other hospitalizations that were less common but had a high level of preventability (at least 20%) included hip fracture, impaction, renal failure, acute confusion, bipolar disorder and hyperkalaemia. CONCLUSIONS: The results of this study highlight those conditions where hospitalizations could potentially be avoided through improved medication management. Strategies to increase the awareness, identification and resolution of these medication-related problems contributing to these hospitalizations are required in Australia.
OBJECTIVE: To identify the prevalence of potentially preventable medication-related hospitalizations amongst elderly Australian veterans by applying clinical indicators to administrative claims data. DESIGN AND SETTING: Retrospective cohort study in the Australian veteran population from 1 January 2004 to 31 December 2008. PARTICIPANTS: A total of 109 044 veterans with one or more hospitalizations defined by the medication-related clinical indicator set, during the 5-year study period. MAIN OUTCOME MEASURE: The prevalence of potentially preventable medication-related hospitalizations as a proportion of all hospitalizations defined by the clinical indicator set. RESULTS: During the 5-year study period, there were a total of 1 630 008 hospital admissions of which 216 527 (13.3%) were for conditions defined by the medication-related clinical indicator set for 109 044 veterans. The overall proportion of potentially preventable medication-related hospitalizations was 20.3% (n= 43 963). Of the 109 044 veterans included in the study, 28 044 (25.7%) had at least one potentially preventable medication-related hospitalization and 7245 (6.6%) veterans had two or more potentially preventable admissions. Conditions with both a high prevalence of hospitalization and preventability included asthma/chronic obstructive pulmonary disorder, depression and thromboembolic cerebrovascular event (23.3, 18.5 and 18.3%, respectively, were potentially preventable). Other hospitalizations that were less common but had a high level of preventability (at least 20%) included hip fracture, impaction, renal failure, acute confusion, bipolar disorder and hyperkalaemia. CONCLUSIONS: The results of this study highlight those conditions where hospitalizations could potentially be avoided through improved medication management. Strategies to increase the awareness, identification and resolution of these medication-related problems contributing to these hospitalizations are required in Australia.
Authors: Taliesin E Ryan-Atwood; Mieke Hutchinson-Kern; Jenni Ilomäki; Michael J Dooley; Susan G Poole; Carl M Kirkpatrick; Elizabeth Manias; Biswadev Mitra; J Simon Bell Journal: Drugs Aging Date: 2017-08 Impact factor: 3.923