Using Electronic Health Record Data to Predict Future Self-Harm or Suicidal Ideation in Young People Treated by Child and Youth Mental Health Services

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aut.relation.endpage869
aut.relation.issue5
aut.relation.journalSuicide and Life-Threatening Behavior
aut.relation.startpage853
aut.relation.volume53
dc.contributor.authorTennakoon, G
dc.contributor.authorByrne, EM
dc.contributor.authorVaithianathan, R
dc.contributor.authorMiddeldorp, CM
dc.date.accessioned2023-10-15T23:25:17Z
dc.date.available2023-10-15T23:25:17Z
dc.date.issued2023-08-14
dc.description.abstractIntroduction: Identifying young people who are at risk of self-harm or suicidal ideation (SHoSI) is a priority for mental health clinicians. We explore the utility of routinely collected data in developing a tool to aid early identification of those at risk. Method: We used electronic health records of 4610 young people aged 5–19 years who were treated by Child and Youth Mental Health Services (CYMHS) in greater Brisbane, Australia. Two Lasso models were trained to predict the risk of future SHoSI in young people currently rated SHoSI; and those who were not. Results: For currently non-SHoSI children, an Area Under the Receiver Operating Characteristics (AUC) of 0.78 was achieved. Those with the highest risk were 4.97 (CI 4.35–5.66) times more likely to be categorized as SHoSI in the future. For current SHoSI children, the AUC was 0.62. Conclusion: A prediction model with fair overall predictive power for currently non-SHoSI children was generated. Predicting persistence for SHoSI was more difficult. The electronic health records alone were not sufficient to discriminate at acceptable levels and may require adding unstructured data such as clinical notes. To optimally predict SHoSI models need to be tested and validated separately for those young people with varying degrees of risk.
dc.identifier.citationSuicide and Life-Threatening Behavior, ISSN: 0363-0234 (Print); 1943-278X (Online), Wiley, 53(5), 853-869. doi: 10.1111/sltb.12988
dc.identifier.doi10.1111/sltb.12988
dc.identifier.issn0363-0234
dc.identifier.issn1943-278X
dc.identifier.urihttp://hdl.handle.net/10292/16783
dc.languageeng
dc.publisherWiley
dc.relation.urihttps://onlinelibrary.wiley.com/doi/10.1111/sltb.12988
dc.rights.accessrightsOpenAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectchild and youth mental health service
dc.subjectelectronic health record data
dc.subjectpredictive risk modeling
dc.subjectself-harm or suicidal ideation
dc.subject4203 Health Services and Systems
dc.subject42 Health Sciences
dc.subjectPrevention
dc.subjectMental Health
dc.subjectBehavioral and Social Science
dc.subjectPediatric
dc.subject4 Detection, screening and diagnosis
dc.subject4.1 Discovery and preclinical testing of markers and technologies
dc.subjectMental health
dc.subject3 Good Health and Well Being
dc.subject1701 Psychology
dc.subjectPsychiatry
dc.subject4203 Health services and systems
dc.subject5203 Clinical and health psychology
dc.subject5205 Social and personality psychology
dc.titleUsing Electronic Health Record Data to Predict Future Self-Harm or Suicidal Ideation in Young People Treated by Child and Youth Mental Health Services
dc.typeJournal Article
pubs.elements-id521321
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