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Identifying Undiagnosed High-Risk Suicidality Cases by Matching Patients With a Similar Comorbidity Burden:
Louisa Bode1,2, Rena Xu2,3, Matthew Garber2
1Peter L. Reichertz Institute for Medical Informatics, TU Braunschweig and Hannover Medical School, Hannover, Germany.
Pediatric suicidality is underreported, but propensity score matching (PSM) using mental health comorbidities can identify at-risk youth. This method revealed that over half of unrecognized cases had significant comorbidities, improving identification of children needing support.
Area of Science:
- Pediatric emergency medicine
- Mental health research
- Health informatics
Background:
- Suicide is a leading cause of death in children and adolescents.
- Underreporting of pediatric suicidality challenges intervention and prevention.
- Identifying at-risk populations is crucial for resource allocation and research.
Purpose of the Study:
- To determine the prevalence of mental health comorbidities in pediatric suicidality.
- To identify undiagnosed high-risk pediatric suicidality cases using comorbidity matching.
Main Methods:
- Analysis of electronic health records (EHRs) for patients aged 6-18.
- Utilized International Classification of Diseases, 10th Revision (ICD-10) codes for suicidality subtypes.
- Employed propensity score matching (PSM) with significant comorbidities and demographics.
Main Results:
- 2.9% of emergency department encounters met suicidality criteria.
- Significant comorbidities were identified for 55 ICD-10 codes.
- PSM identified unrecognized suicidality in 53.4% of non-cases, with high-risk associations for personality disorders, gender dysphoria, bipolar disorder, depression, and schizophrenia spectrum disorders.
Conclusions:
- Propensity score matching (PSM) effectively identifies pediatric suicidality cases lacking explicit ICD-10 suicidality codes.
- Comorbidity profiling enhances the detection of underdiagnosed pediatric suicidality.
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