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维多利亚州医院发病率数据中损伤编码的准确性。

Accuracy of injury coding in Victorian hospital morbidity data.

作者信息

MacIntyre C R, Ackland M J, Chandraraj E J

机构信息

Victorian Infectious Diseases Service, Royal Melbourne Hospital, Parkville, Victoria.

出版信息

Aust N Z J Public Health. 1997 Dec;21(7):779-83.

PMID:9489199
Abstract

In Victoria injury surveillance data are drawn from hospital morbidity data. The accuracy and reliability of these data are often questioned. We aimed to ascertain the reliability of injury data in the Victorian inpatient minimum database. A random sample of 546 public hospital separations with principal diagnosis ICD-9-CM codes 800-999 was selected from four metropolitan hospitals. Medical records were reviewed, and the hospital coding was compared with the record content. The frequency of error in any coding field was 73 per cent (349/480); of diagnosis error, 61 per cent (292/480); of procedure error, 45 per cent (168/370); of error in the principal diagnosis, 19 per cent (93/480); and of error in external-cause codes (E-codes), 16 per cent (75/480). Ninety-four per cent of errors (87/93) in the principal diagnosis involved recoding within the same group of codes. Only 6 per cent (6/93) were recoded to principal diagnoses other than injury. Sixty-two per cent (181/292) were errors of omission of codes for comorbid conditions. Nearly half the errors in the principal diagnosis were minor, involving the last two digits. E-codes were more complete than diagnosis codes. The best predictors of error in the principal diagnosis were greater length of stay, type of injury code (poisonings and toxic effects were associated with lower error rates) and death as the outcome. While selection of data from secondary diagnosis fields may not provide complete data, the use of the principal-diagnosis code and E-codes for injury surveillance is feasible and reliable. The database is a valuable source of injury surveillance data, bearing in mind the limitations of coded hospital morbidity data.

摘要

在维多利亚州,伤害监测数据取自医院发病率数据。这些数据的准确性和可靠性常常受到质疑。我们旨在确定维多利亚州住院患者最小数据库中伤害数据的可靠性。从四家大都市医院中随机抽取了546例主要诊断ICD - 9 - CM编码为800 - 999的公立医院出院病例。对病历进行了审查,并将医院编码与病历内容进行了比较。任何编码字段中的错误频率为73%(349/480);诊断错误频率为61%(292/480);手术错误频率为45%(168/370);主要诊断错误频率为19%(93/480);外部原因编码(E编码)错误频率为16%(75/480)。主要诊断中94%的错误(87/93)涉及在同一编码组内重新编码。只有6%(6/93)被重新编码为非伤害的主要诊断。62%(181/292)是共病情况编码遗漏的错误。主要诊断中近一半的错误是轻微的,涉及最后两位数字。E编码比诊断编码更完整。主要诊断错误的最佳预测因素是住院时间更长、伤害编码类型(中毒和毒性作用的错误率较低)以及死亡作为结局。虽然从次要诊断字段选择数据可能无法提供完整数据,但使用主要诊断编码和E编码进行伤害监测是可行且可靠的。考虑到编码的医院发病率数据的局限性,该数据库是伤害监测数据的宝贵来源。

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