Open AccessImpact of the Publication of Appropriate Use Criteria on Utilization Rates of Myocardial Perfusion Imaging Studies in Ontario, Canada: A Population‐Based Study
Author(s) -
Roifman Idan,
Austin Peter C.,
Qiu Feng,
Wijeysundera Harindra C.
Publication year - 2017
Publication title -
journal of the american heart association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.494
H-Index - 85
ISSN - 2047-9980
DOI - 10.1161/jaha.117.005961
Subject(s) - medicine , myocardial perfusion imaging , appropriate use criteria , population , interrupted time series analysis , appropriateness criteria , retrospective cohort study , emergency medicine , demography , perfusion , statistics , radiology , environmental health , mathematics , sociology
Background Concern regarding overutilization of cardiac imaging has led to the development of appropriate use criteria ( AUC ). Myocardial perfusion imaging ( MPI ) is one of the most commonly used cardiac imaging modalities worldwide. Despite multiple iterations of AUC, there is currently no evidence regarding their real‐world impact on population‐based utilization rates of MPI . Our goal was to assess the impact of the AUC on rates of MPI in Ontario, Canada. We hypothesized that publication of the AUC would be associated with a significant reduction in MPI rates. Methods and Results We conducted a retrospective cohort study of the adult population of Ontario from January 1, 2000, to December 31, 2015. Age‐ and sex‐standardized rates were compared from 4 different periods intersected by 3 published iterations of the AUC. Overall, 3 072 611 MPI scans were performed in Ontario during our study period. The mean monthly rate increased from 14.1/10 000 in the period from January 2000 to October 2005 to 18.2/10 000 between November 2005 and June 2009. After this point in time, there was a reduction in rates, falling to a mean monthly rate of 17.1/10 000 between March 2014 and December 2015. Time series analysis revealed that publication of the 2009 AUC was associated with a significant reduction in MPI rates ( P <0.001). This translated into ≈88 849 fewer MPI scans at a cost savings of ≈72 million Canadian dollars. Conclusions Our results reflect a potential real‐world impact of the 2009 MPI AUC by demonstrating evidence of a significant effect on population‐based rates of MPI .