A validation study of administrative data algorithms to identify patients with parkinsonism with prevalence and incidence trends

Neuroepidemiology

Volumn 43, Issue 1, 2014, Pages 28-37

  Butt, Debra A ^a,b,h   Tu, Karen ^a,c,d   Young, Jacqueline ^c   Green, Diane ^c   Wang, Myra ^c   Ivers, Noah ^a,e   Jaakkimainen, Liisa ^a,c,f   Lam, Robert ^d   Guttman, Mark ^g  

^a UNIVERSITY OF TORONTO   (Canada)

^b SCARBOROUGH HOSPITAL   (Canada)

^c INSTITUTE FOR CLINICAL EVALUATIVE SCIENCES   (Canada)

^d TORONTO WESTERN HOSPITAL   (Canada)

^e WOMEN S COLLEGE HOSPITAL   (Canada)

^f SUNNYBROOK RESEARCH INSTITUTE   (Canada)

^g Centre for Movement Disorders   (Canada)

^h Ellesmere Health Care Centre   (Canada)

Author keywords

Administrative data; Incidence; Parkinsonism; Predictive values; Prevalence; Sensitivity; Validation

Indexed keywords

ACCURACY; AGED; ALGORITHM; ARTICLE; DATA BASE; FEMALE; HUMAN; INCIDENCE; MALE; PARKINSON DISEASE; PARKINSONISM; PREDICTIVE VALUE; PREVALENCE; SENSITIVITY AND SPECIFICITY; VALIDATION STUDY; ELECTRONIC MEDICAL RECORD; FACTUAL DATABASE; PARKINSONIAN DISORDERS; RETROSPECTIVE STUDY;

AGED; ALGORITHMS; DATABASES, FACTUAL; ELECTRONIC HEALTH RECORDS; FEMALE; HUMANS; INCIDENCE; MALE; PARKINSONIAN DISORDERS; PREVALENCE; RETROSPECTIVE STUDIES; SENSITIVITY AND SPECIFICITY;

EID: 84908292293     PISSN: 02515350     EISSN: 14230208     Source Type: Journal    
DOI: 10.1159/000365590     Document Type: Article

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