Using administrative health data to identify individuals with intellectual and developmental disabilities: A comparison of algorithms

Journal of Intellectual Disability Research

Volumn 57, Issue 5, 2013, Pages 462-477

  Lin, E ^a   Balogh, R ^b   Cobigo, V ^c   Ouellette Kuntz, H ^d   Wilton, A S ^e   Lunsky, Y ^a  

^a CENTRE FOR ADDICTION AND MENTAL HEALTH   (Canada)

^b UNIVERSITY OF ONTARIO INSTITUTE OF TECHNOLOGY   (Canada)

^c UNIVERSITY OF EAST ANGLIA   (United Kingdom)

^d QUEEN S UNIVERSITY   (Canada)

^e INSTITUTE FOR CLINICAL EVALUATIVE SCIENCES   (Canada)

Author keywords

Administrative data; Cohort algorithms; Intellectual disability; Standardised differences; Surveillance

Indexed keywords

ADULT; ALGORITHM; ARTICLE; CLINICAL FEATURE; COMORBIDITY; DEMOGRAPHY; DEVELOPMENTAL DISORDER; FEMALE; HEALTH CARE MANAGEMENT; HEALTH CARE NEED; HEALTH CARE PLANNING; HEALTH CARE QUALITY; HUMAN; INTELLECTUAL IMPAIRMENT; MAJOR CLINICAL STUDY; MALE; MENTAL DISEASE; PREVALENCE; SENSITIVITY AND SPECIFICITY; URBAN AREA;

ADOLESCENT; ADULT; ALGORITHMS; COMORBIDITY; DATA COLLECTION; DEVELOPMENTAL DISABILITIES; FEMALE; HUMANS; INTELLECTUAL DISABILITY; MALE; MENTAL DISORDERS; MIDDLE AGED; NATIONAL HEALTH PROGRAMS; ONTARIO; POPULATION SURVEILLANCE; PREVALENCE; SENSITIVITY AND SPECIFICITY; YOUNG ADULT;

EID: 84876114256     PISSN: 09642633     EISSN: 13652788     Source Type: Journal    
DOI: 10.1111/jir.12002     Document Type: Article

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