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Emergency department and inpatient coding for self‐harm and suicide attempts: Validation using clinician assessment data

机译:急诊科和住院患者自我伤害和自杀未遂编码:使用临床医生评估数据进行验证

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摘要

Administrative data have been used to determine the occurrence of suicide attempts and deliberate self‐harm, but research about the accuracy of these sources is limited. This study used a clinical sample (  = 5719) containing psychiatry consultations from the emergency departments and inpatient units of the two major tertiary hospitals in Winnipeg, Canada to validate the accuracy of inpatient hospital diagnosis codes at identifying presentations for self‐harm and suicide attempts. The Columbia Classification Algorithm of Suicide Assessment (C‐CASA) was used as the gold standard. International Classification of Diseases version 10 Canadian Enhancement codes for intentional self‐harm, undetermined intent self‐harm, and accidental poisoning were assessed. Measures of validity included Kappa ( ), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Sensitivity of hospitalized attempts was low using intentional intent codes (36.9%, 95% confidence interval [CI]: 32.4–41.4%) but improved using unknown intent and accidental poisoning codes (44.8%, 95% CI: 40.2–49.4%). Agreement for suicide attempts did not increase with the addition of unknown intent and accidental poisoning codes (  = 0.465–0.481), but were better for any self‐harm (  = 0.395–0.478). Hospital diagnosis codes undercount attempts and self‐harm admissions. Including more data sources might improve the detection of events.
机译:行政数据已被用于确定自杀企图的发生和故意的自我伤害,但是对这些来源的准确性的研究是有限的。这项研究使用的临床样本(= 5719)包含来自加拿大温尼伯的两家主要三级医院的急诊科和住院部门的精神病学咨询,以验证住院医院诊断代码在识别自我伤害和自杀企图时的准确性。哥伦比亚自杀评估分类算法(C-CASA)被用作黄金标准。 《国际疾病分类》第10版对有意自我伤害,不确定的意向自我伤害和意外中毒的加拿大增强代码进行了评估。有效性度量包括Kappa(),敏感性,特异性,阳性预测值(PPV)和阴性预测值(NPV)。使用故意意图代码的住院尝试敏感性较低(36.9%,95%置信区间[CI]:32.4–41.4%),但是使用未知意图和意外中毒代码可以提高住院灵敏度(44.8%,95%CI:40.2–49.4%)。加上未知的意图和意外中毒代码后,自杀未遂的协议并未增加(= 0.465-0.481),但对于任何自残行为则更好(= 0.395-0.478)。医院诊断代码少计尝试和自我伤害的次数。包含更多数据源可能会改善事件检测。

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