IDENTIFYING COMPLICATIONS OF CARE USING ADMINISTRATIVE DATA
IDENTIFYING COMPLICATIONS OF CARE USING ADMINISTRATIVE DATA
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DOI：
10.1097/00005650-199407000-00004
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发表时间：
1994-07-01
期刊：
影响因子：
3
通讯作者：
COFFMAN, GA
中科院分区：
文献类型：
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作者：
IEZZONI, LI;DALEY, J;COFFMAN, GA
并发症筛查计划 (CSP) 是一种使用标准出院摘要数据来识别 27 种可能可预防的院内并发症的方法，例如术后肺炎、出血、用药事件和伤口感染。使用 1988 年加州出院摘要数据，CSP 已应用于超过 190 万例成人医疗/外科病例。出现并发症的病例年龄明显较大，死亡可能性更大，而且他们的平均总费用和住院时间比其他病例高得多（P < 0.0001）。对于大多数病例类型，使用诊断代码定义的 13 种慢性病在调整患者年龄后增加了出现并发症的相对风险。较大医院和教学机构的病例通常并发症发生率较高。使用人口、管理、临床和医院特征变量预测并发症的逻辑回归模型具有适度的功效（C 统计 = 0.64 至 0.70）。 CSP 在用于研究以外的目的之前需要进一步评估。
The Complications Screening Program (CSP) is a method using standard hospital discharge abstract data to identify 27 potentially preventable in-hospital complications, such as post-operative pneumonia, hemorrhage, medication incidents, and wound infection. The CSP was applied to over 1.9 million adult medical/surgical cases using 1988 California discharge abstract data. Cases with complications were significantly older and more likely to die, and they had much higher average total charges and lengths of stay than other cases (P < 0.0001). For most case types, 13 chronic conditions, defined using diagnosis codes, increased the relative risks of having a complication after adjusting for patient age. Cases at larger hospitals and teaching facilities generally had higher complication rates. Logistic regression models to predict complications using demographic, administrative, clinical, and hospital characteristics variables, had modest power (C statistics = 0.64 to 0.70). The CSP requires further evaluation before using it for purposes other than research.