Department of Surgery, University of Florida, Jacksonville, Florida.
Department of Surgery, University of Florida, Jacksonville, Florida.
J Surg Res. 2019 Apr;236:124-128. doi: 10.1016/j.jss.2018.11.012. Epub 2018 Dec 14.
Hospitals are looking for effective methods to track outcomes that are risk-adjusted for patient population characteristics. This is especially relevant for safety net hospitals (SNHs) servicing high-risk populations and in an era of quality-based reimbursement incentives. One such program with these goals is the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP). This is an institution-based quality audit whereby we determined the presence and consistency of charted data required to compute perioperative risk in the ACS NSQIP risk calculator.
A retrospective chart review of 28 elective colorectal procedures was performed at an urban, academic SNH over a 1-y period. For each case, it was determined whether the required NSQIP variables were readily presented via preoperative documentation. Univariate and bivariate statistics were employed to compare data field completion rates.
Of the 28 reviewed patient charts, none (n = 0) had all preoperative risk documentation required to complete an ACS NSQIP risk analysis. 89.3% of charts (n = 25) had ≤ 55% of required data to complete a risk assessment. However on bivariate analysis, demographic variables were more likely to have been recorded (P < 0.001) than other risk factors.
Preoperative risk assessment and corresponding charting practices at the SNH reviewed was fragmented and incomplete. There was lack of definitive documentation of risk factors and preoperative interventions used to modulate risk. Under current reimbursement models such as the MACRA Quality Payment Program, these findings are crucial for like-institutions to consider to critically evaluate their own documentation practices.
医院正在寻找有效的方法来跟踪经过患者人群特征风险调整的结果。对于服务高危人群的安全网医院(SNH)和在基于质量的报销激励时代,这一点尤其重要。具有这些目标的一个这样的计划是美国外科医师学院国家外科质量改进计划(ACS NSQIP)。这是一个机构基础的质量审核,通过该审核,我们确定了存在并一致记录了 ACS NSQIP 风险计算器中计算围手术期风险所需的图表数据。
在一个城市学术 SNH 进行了一项回顾性图表审查,涉及 28 例择期结肠直肠手术。对于每个病例,确定是否可以通过术前文档方便地提供所需的 NSQIP 变量。使用单变量和双变量统计来比较数据字段完成率。
在所审查的 28 份患者图表中,没有一份(n=0)具有完成 ACS NSQIP 风险分析所需的所有术前风险文档。89.3%的图表(n=25)有≤55%的完成风险评估所需的数据。但是,在双变量分析中,记录的人口统计学变量更有可能(P<0.001),而不是其他风险因素。
所审查的 SNH 的术前风险评估和相应的图表记录实践是零散和不完整的。缺乏明确记录风险因素和用于调节风险的术前干预措施。在当前的报销模式下,如 MACRA 质量支付计划,这些发现对于类似机构来说至关重要,需要考虑对其自身的文档记录实践进行批判性评估。