Department of Surgery, David Geffen School of Medicine at UCLA (University of California, Los Angeles).
Department of Surgery, David Geffen School of Medicine at UCLA (University of California, Los Angeles)2Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, California.
JAMA Surg. 2014 Aug;149(8):759-64. doi: 10.1001/jamasurg.2014.18.
The Centers for Medicare & Medicaid Services has developed an all-cause readmission measure that uses administrative data to measure readmission rates and financially penalize hospitals with higher-than-expected readmission rates.
To examine the accuracy of administrative codes in determining the cause of readmission as determined by medical record review, to evaluate the readmission measure's ability to accurately identify a readmission as planned, and to document the frequency of readmissions for reasons clinically unrelated to the original hospital stay.
DESIGN, SETTING, AND PARTICIPANTS: Retrospective review of all consecutive patients discharged from general surgery services at a tertiary care, university-affiliated teaching hospital during 8 consecutive quarters (quarter 4 [October through December] of 2009 through quarter 3 [July through September] of 2011). Clinical readmission diagnosis determined from direct medical record review was compared with the administrative diagnosis recorded in a claims database. The number of planned hospital readmissions defined by the readmission measure was compared with the number identified using clinical data. Readmissions unrelated to the original hospital stay were identified using clinical data.
Discordance rate between administrative and clinical diagnoses for all hospital readmissions, discrepancy between planned readmissions defined by the readmission measure and identified by clinical medical record review, and fraction of hospital readmissions unrelated to the original hospital stay.
Of the 315 hospital readmissions, the readmission diagnosis listed in the administrative claims data differed from the clinical diagnosis in 97 readmissions (30.8%). The readmission measure identified 15 readmissions (4.8%) as planned, whereas clinical data identified 43 readmissions (13.7%) as planned. Unrelated readmissions comprised 70 of the 258 unplanned readmissions (27.1%).
Administrative billing data, as used by the readmission measure, do not reliably describe the reason for readmission. The readmission measure accounts for less than half of the planned readmissions and does not account for the nearly one-third of readmissions unrelated to the original hospital stay. Implementation of this readmission measure may result in unwarranted financial penalties for hospitals.
医疗保险和医疗补助服务中心已经开发出一种全因再入院率测量方法,该方法使用管理数据来测量再入院率,并对再入院率高于预期的医院进行经济处罚。
检查行政代码在确定再入院原因方面的准确性,这些原因是通过病历回顾确定的,评估再入院率测量方法准确识别计划内再入院的能力,并记录因与原始住院治疗无关的临床原因导致的再入院频率。
设计、地点和参与者:对一家三级保健、大学附属教学医院普通外科服务连续出院的所有患者进行回顾性分析,连续 8 个季度(2009 年第四季度[10 月至 12 月]至 2011 年第三季度[7 月至 9 月])。通过直接病历回顾确定的临床再入院诊断与索赔数据库中记录的行政诊断进行比较。通过再入院率测量方法确定的计划再入院数量与通过临床数据确定的再入院数量进行比较。使用临床数据识别与原始住院治疗无关的再入院。
所有医院再入院的行政和临床诊断之间的不一致率,再入院率测量方法定义的计划再入院与临床病历审查确定的计划再入院之间的差异,以及与原始住院治疗无关的医院再入院的比例。
在 315 例医院再入院中,行政索赔数据中列出的再入院诊断与临床诊断在 97 例(30.8%)中存在差异。再入院率测量方法确定了 15 例(4.8%)为计划内再入院,而临床数据确定了 43 例(13.7%)为计划内再入院。在 258 例非计划再入院中,70 例(27.1%)与非计划再入院无关。
再入院率测量方法所使用的行政计费数据不能可靠地描述再入院的原因。该再入院率测量方法仅占计划再入院的一半以下,且不包括近三分之一与原始住院治疗无关的再入院。实施这种再入院率测量方法可能会导致医院不必要的经济处罚。