Facilitating Reuse of Mental Health Questionnaires via Knowledge Graphs
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Authors
Santos, Henrique
Rook, Kelsey
Pinheiro, Paulo
Gruen, Daniel
Chorpita, Bruce F.
McGuinness, Deborah L.
Issue Date
2023-05-08
Type
Presentation
Language
Keywords
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Abstract
Questionnaires are one of the most common instrument types for screening patients for mental disorders. They are composed of items whose answers are typically scored to determine the elevation on a specified dimension, and hence the statistical probabilities associated with the corresponding disorder or diagnosis. The Patient Health Questionnaire (PHQ-9) and the Generalized Anxiety Disorder (GAD-7) questionnaire, for instance, measure levels of depression and anxiety respectively, and can be used to support diagnosis of depression and generalized anxiety disorder. Some questionnaires are multidimensional, such as the Revised Children's Anxiety and Depression Scale (RCADS), and can thereby estimate elevations on multiple dimensions that underlie a variety of disorders. Mental health screening questionnaires are designed so that each item assesses specific symptoms whose pattern of co-occurence (often organized in a subscale) allows estimation of how likely such symptoms would occur in the absence of the disorder whose symptoms the items represent. Questionnaire users typically estimate how likely a set of co-occuring symptoms would be (i.e., a score) in the general population as a strategy to estimate the likelihood that the respondent has a disorder warranting mental health services. The RCADS is a 47-item, youth self-report questionnaire with subscales (separation anxiety disorder, social phobia, generalized anxiety disorder, panic disorder, obsessive compulsive disorder, and major depressive disorder). It also yields a Total Anxiety Scale (sum of the 5 anxiety subscales) and a Total Internalizing Scale (sum of all 6 …
Description
Full Citation
H. Santos, K. Rook, P. Pinheiro, D. M. Gruen, B. F. Chorpita, D. L. McGuinness, Facilitating reuse of mental health questionnaires via knowledge graphs, The Healthcare and Life Sciences Symposium, 2023.
Publisher
KGC