Optimizing algorithms to identify Parkinson's disease cases within an administrative database

Movement Disorders

Volumn 24, Issue 1, 2009, Pages 51-56

  Szumski, Nicholas R ^a,b,c   Cheng, Eric M ^a,b,c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b Southwest Parkinson's Disease Research Education and Clinical Center (PADRECC)   (United States)

^c VA GREATER LOS ANGELES HEALTHCARE SYSTEM   (United States)

Author keywords

Administrative data; ICD 9 CM codes; Parkinson's disease; Predictive value; Sensitivity; Specificity

Indexed keywords

AGED; ALGORITHM; ARTICLE; CONTROLLED STUDY; DATA ANALYSIS; DIAGNOSTIC ERROR; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; MEDICAL INFORMATION SYSTEM; MEDICAL RECORD REVIEW; PARKINSON DISEASE; PATIENT CODING; PRESCRIPTION; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY;

AGED; AGED, 80 AND OVER; ALGORITHMS; AMBULATORY CARE FACILITIES; DATABASES, FACTUAL; DIAGNOSTIC ERRORS; FEMALE; HUMANS; INTERNATIONAL CLASSIFICATION OF DISEASES; LOS ANGELES; MALE; MIDDLE AGED; OUTPATIENTS; PARKINSON DISEASE; SENSITIVITY AND SPECIFICITY; UNITED STATES; UNITED STATES DEPARTMENT OF VETERANS AFFAIRS;

EID: 61449194416     PISSN: 08853185     EISSN: 15318257     Source Type: Journal    
DOI: 10.1002/mds.22283     Document Type: Article

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