Kossovsky M P, Sarasin F P, Bolla F, Gaspoz J M, Borst F
Department of Internal Medicine, Geneva University Hospitals, Switzerland.
Methods Inf Med. 1999 Jun;38(2):140-3.
Readmission rate is often used as an indicator for the quality of care. However, only unplanned readmissions may have a link with substandard quality of care. We compared two databases of the Geneva University Hospitals to determine which information is needed to distinguish planned from unplanned readmissions. All patients readmitted within 42 days after a first stay in the wards of the Department of Internal Medicine were identified. One of the databases contained encoded information needed to compute DRGs. The other database consisted of full-text discharge reports, addressed to the referring physician. Encoded reports allowed the classification of 64% of the readmissions, whereas full-text reports could classify 97% of the readmissions (p < 0.001). The concordance between encoded reports and full-text reports was fair (kappa = 0.40). We conclude that encoded reports alone are not sufficient to distinguish planned from unplanned readmissions and that the automation of detailed clinical databases seems promising.
再入院率常被用作医疗质量的一项指标。然而,只有非计划性再入院可能与医疗质量不达标存在关联。我们比较了日内瓦大学医院的两个数据库,以确定区分计划性再入院和非计划性再入院所需的信息。确定了所有在内科病房首次住院后42天内再次入院的患者。其中一个数据库包含计算疾病诊断相关分组(DRGs)所需的编码信息。另一个数据库则由发给转诊医生的完整出院报告组成。编码报告能够对64%的再入院情况进行分类,而完整文本报告可对97%的再入院情况进行分类(p<0.001)。编码报告与完整文本报告之间的一致性尚可(kappa = 0.40)。我们得出结论,仅靠编码报告不足以区分计划性再入院和非计划性再入院,详细临床数据库的自动化似乎很有前景。