An algorithm to identify incident myocardial infarction using Medicaid data

Pharmacoepidemiology and Drug Safety

Volumn 18, Issue 11, 2009, Pages 1064-1071

  Choma, Neesha N ^a,b,c,d,e   Griffin, Marie R ^a,b,d,e   Huang, Robert L ^e   Mitchel Jr , Edward F ^e   Kaltenbach, Lisa A ^e   Gideon, Patricia ^e   Stratton, Shannon M ^e   Roumie, Christianne L ^a,b,c,d,e  

^a Veterans Administration   (United States)

^b Center for Patient Healthcare Behavior   (United States)

^c VA MEDICAL CENTER   (United States)

^d Tennessee Valley VA Clinical Research Center of Excellence (CRCoE)   (United States)

^e VANDERBILT UNIVERSITY   (United States)

Author keywords

ICD 9; Medicaid; Myocardial infarction; Validation

Indexed keywords

ACETYLSALICYLIC ACID; HEART ENZYME; NONSTEROID ANTIINFLAMMATORY AGENT;

ADULT; ALGORITHM; ARTICLE; CRITERION VARIABLE; DATA BASE; DISEASE ASSOCIATION; DISEASE EXACERBATION; DRUG SAFETY; DRUG USE; ELECTROCARDIOGRAPHY; FEMALE; HEART INFARCTION; HOSPITALIZATION; HUMAN; INCIDENCE; MAJOR CLINICAL STUDY; MALE; MEDICAID; OUTCOME ASSESSMENT; PREDICTION; PRIORITY JOURNAL; SMOKING; THORAX PAIN; VALIDATION PROCESS;

AGED; AGED, 80 AND OVER; ALGORITHMS; ANTI-INFLAMMATORY AGENTS, NON-STEROIDAL; COHORT STUDIES; FEMALE; HUMANS; INCIDENCE; MALE; MEDICAID; MIDDLE AGED; MYOCARDIAL INFARCTION; RETROSPECTIVE STUDIES; TENNESSEE; UNITED STATES;

EID: 70549106914     PISSN: 10538569     EISSN: 10991557     Source Type: Journal    
DOI: 10.1002/pds.1821     Document Type: Article

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