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Do hospital E-codes consistently capture suicidal behaviour?
Anne E Rhodes1, Paul S Links, David L Streiner
1The Suicide Studies Unit, St. Michael's Hospital, 30 Bond Street, Toronto, Ontario, Canada M5B 1W8. rhodesa@smh.toronto.on.ca
Chronic Diseases in Canada
|January 9, 2003
Summary
Hospital separation E-codes underestimate suicidal behaviors, especially in older adults. Clinician review revealed a 63% higher prevalence of deliberate self-poisoning than E-code data suggest.
Area of Science:
- Public Health
- Epidemiology
- Mental Health Research
Background:
- Hospital separation data, using external cause of injury (E-codes), are frequently used for suicide research.
- The accuracy of E-codes in reflecting actual suicidal behaviors, particularly deliberate self-poisoning, remains under-examined.
- Understanding data limitations is crucial for reliable research and effective public health planning.
Purpose of the Study:
- To assess the consistency between hospital separation E-code data and clinical assessments of suicidal behavior.
- To determine the validity of E-codes for researching suicidal behavior, focusing on self-poisoning incidents.
Main Methods:
- Expert clinicians reviewed medical records of individuals hospitalized for self-poisoning.
- Clinicians determined the deliberateness of self-poisoning.
- Latent class analysis estimated the prevalence of deliberate self-poisoning.
- This estimate was compared against E-code-based prevalence.
Main Results:
- Clinician assessment indicated a 63% higher prevalence of deliberate self-poisoning compared to E-code data.
- Discrepancies were significantly larger in older age groups, patients receiving primarily medical care, and those with longer hospital stays.
- Self-poisoning in the elderly within acute care settings may be under-recognized and under-documented.
Conclusions:
- Hospital separation data, relying on E-codes, provide a questionable estimate of suicidal behavior prevalence.
- Findings highlight significant underestimation, particularly among vulnerable populations like the elderly.
- Recommendations for improved data collection and clinical documentation are implied for accurate surveillance.