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INDICATOR NAME
Name
Chronic disease cohorts-acute myocardial infarction (AMI)
Alternate Name
Chronic disease cohorts-acute myocardial infarction (AMI)
 
INDICATOR DESCRIPTION
Description
Percentage of patients with AMI by the physician, group, LHIN and the province.
Indicator Status
Active
HQO Reporting tool/product
Personalized/Custom Reports (includes Practice Reports)
Dimension
Equitable
Type
Outcome
 
DEFINITION AND SOURCE INFORMATION
Unit of Measurement
Percentage
Calculation Methods
Numerator/ Denominator * 100
Numerator including inclusion/exclusion
Number of patients with AMI by the physician, group, LHIN, and the province
Denominator including inclusion/exclusion
Total number of patients by the physician, group, LHIN, and the province as of March 31st the previous year
Adjustment (risk, age/sex standardization)- detailed
This data is unadjusted. Unadjusted data reports the physician’s actual practice data. This is useful for comparing one’s own data over time.
Data Source
Discharge Abstract Database (DAD), Ontario Health Insurance Plan (OHIP) Claims History Database, Same-day Surgery Database (SDS)
Data provided to HQO by
Institute for Clinical Evaluative Sciences (ICES)
 
OTHER RELEVANT INFORMATION
Caveats and Limitations
Does not capture patients whose date of last contact not within 7 years of index
Comments Detailed
A patient is said to have AMI with a most responsible diagnosis of AMI based on the ICD-9 code 410 or ICD-10 code I21. Further information on how this cohort was generated: The case-definition algorithm to identify patients with AMI links different databases at ICES DAD, ICES SDS and OHIP and is based on the most responsible diagnostic codes to indicate that a patient had an MI (ICD 9 code: 410, or ICD 10 code: I21). The administrative data case-definition algorithm for AMI has a sensitivity of 80%, a specificity of 98%, and a PPV of 70%.3
 
TAGS
Sector
Primary Care
Type
Outcome
Topic
Chronic Disease
Dimension
Equitable
Source
Discharge Abstract Database (DAD), Ontario Health Insurance Plan (OHIP) Claims History Database, Same-day Surgery Database (SDS)
 
PUBLISH
Publish Datetime
11/04/2016 16:18:00