Center for Health Quality, Outcomes and Economic Research, Bedford VAMC, Bedford, MA, USA.
J Am Coll Surg. 2011 Jun;212(6):946-953.e1-2. doi: 10.1016/j.jamcollsurg.2010.09.033. Epub 2011 Apr 7.
Postoperative hemorrhage or hematoma (PHH), an Agency for Healthcare Research and Quality Patient Safety Indicator, uses administrative data to detect cases of potentially preventable postsurgical bleeding requiring a reparative procedure. How accurately it identifies true events is unknown. We therefore determined PHH's positive predictive value.
Using Patient Safety Indicator software (v.3.1a) and fiscal year 2003-2007 discharge data from 28 Veterans Health Administration hospitals, we identified 112 possible cases of PHH. Based on medical record abstraction, we characterized cases as true (TPs) or false positives (FPs), calculated positive predictive value, and analyzed FPs to ascertain reasons for incorrect identification and TPs to determine PHH-associated clinical consequences and risk factors.
Eighty-four cases were TPs (positive predictive value, 75%; 95% CI, 66-83%); 63% had a hematoma diagnosis, 30% had a hemorrhage diagnosis, 7% had both. Reasons for FPs included events present on admission (29%); hemorrhage/hematoma identified and controlled during the original procedure rather than postoperatively (21%); or postoperative hemorrhage/hematoma that did not require a procedure (18%). Most TPs (82%) returned to the operating room for hemorrhage/hematoma management; 64% required blood products and 7% died in-hospital. The most common index procedures resulting in postoperative hemorrhage/hematoma were vascular (38%); 56% were performed by a physician-in-training (under supervision). We found no substantial association between physician training status or perioperative anticoagulant use and bleeding risk.
PHH's accuracy could be improved by coding enhancements, such as adopting present on admission codes or associating a timing factor with codes dealing with bleeding control. The ability of PHH to identify events representing quality of care problems requires additional evaluation.
术后出血或血肿(PHH)是美国医疗保健研究与质量局的患者安全指标,它利用行政数据来检测可能需要修复手术的潜在可预防术后出血的病例。它识别真实事件的准确性尚不清楚。因此,我们确定了 PHH 的阳性预测值。
我们使用患者安全指标软件(v.3.1a)和 28 家退伍军人健康管理局医院的 2003-2007 年财政年度的出院数据,确定了 112 例可能的 PHH 病例。基于病历摘录,我们将病例分为真阳性(TPs)或假阳性(FPs),计算阳性预测值,并分析 FPs 以确定错误识别的原因,以及 TPs 以确定 PHH 相关的临床后果和危险因素。
84 例为 TPs(阳性预测值为 75%;95%CI,66-83%);63%有血肿诊断,30%有出血诊断,7%两者都有。FPs 的原因包括入院时存在的事件(29%);原手术期间而非术后发现和控制的出血/血肿(21%);或不需要手术的术后出血/血肿(18%)。大多数 TPs(82%)返回手术室进行出血/血肿管理;64%需要血液制品,7%院内死亡。导致术后出血/血肿的最常见索引手术是血管手术(38%);56%由受训医生(在监督下)进行。我们没有发现医生培训状态或围手术期抗凝剂使用与出血风险之间存在实质性关联。
通过编码增强(例如采用入院时存在的代码或与处理出血控制的代码相关联的时间因素)可以提高 PHH 的准确性。PHH 识别代表医疗质量问题的事件的能力需要进一步评估。