Cleveland Clinic, OH, USA.
Hand (N Y). 2023 Oct;18(7):1135-1141. doi: 10.1177/15589447221082163. Epub 2022 Mar 23.
The Orthopaedic Minimal Data Set (OrthoMiDaS) Episode of care (OME) is a prospectively collected database enabling capture of patient and surgeon-reported data in a more efficient, comprehensive, and dependable manner than electronic medical record (EMR) review. We aimed to assess and validate the OME as a data capture tool for carpometacarpal (CMC) arthroplasty compared to traditional EMR-based review. Specifically, we aimed to: (1) compare the completeness of the OME versus EMR data; and (2) evaluate the extent of agreement between the OME and EMR data-based datasets for carpometacarpal (CMC) arthroplasty.
The first 100 thumb CMC arthroplasties after OME inception (Febuary, 2015) were included. Blinded EMR-based review of the same cases was performedfor 48 perioperative variables and compared to their OME-sourced counterparts. Outcomes included completion rates and agreement measures in OME versus EMR-based control datasets.
The OME demonstrated superior completion rates compared to EMR-based retrospective review. There was high agreement between both datasets where 75.6% (34/45) had an agreement proportion of >0.90% and 82.2% (37/45) had an agreement proportion of >0.80. Over 40% of the variables had almost perfect to substantial agreement (κ > 0.60). Among the 6 variables demonstrating poor agreement, the surgeon-inputted OME values were more accurate than the EMR-based review control.
This study validates the use of the OME for CMC arthroplasty by illustrating that it is reliably able to match or supersede traditional chart review for data collection; thereby offering a high-quality tool for future CMC arthroplasty studies.
矫形最小数据集(OrthoMiDaS)的治疗事件(OME)是一个前瞻性收集数据库,能够以比电子病历(EMR)审查更有效、全面和可靠的方式捕获患者和外科医生报告的数据。我们旨在评估和验证 OME 作为与传统基于 EMR 的审查相比的掌指关节(CMC)关节置换术的数据捕获工具。具体而言,我们旨在:(1)比较 OME 与 EMR 数据的完整性;(2)评估 OME 和 EMR 数据的数据集之间在掌指关节(CMC)关节置换术方面的一致性程度。
纳入了 OME 成立后(2015 年 2 月)的前 100 例拇指 CMC 关节置换术。对相同病例进行了基于 EMR 的盲法回顾性审查,共审查了 48 个围手术期变量,并与 OME 来源的变量进行了比较。结果包括 OME 与 EMR 对照数据集的完成率和一致性测量。
OME 与基于 EMR 的回顾性审查相比,显示出更高的完成率。两个数据集之间具有高度一致性,其中 75.6%(34/45)的一致性比例>0.90%,82.2%(37/45)的一致性比例>0.80%。超过 40%的变量具有几乎完美到实质性的一致性(κ>0.60)。在 6 个显示出较差一致性的变量中,外科医生输入的 OME 值比基于 EMR 的回顾性控制更准确。
这项研究通过证明 OME 能够可靠地匹配或超越传统图表审查来收集数据,从而为未来的 CMC 关节置换术研究提供了高质量的工具,验证了 OME 在 CMC 关节置换术中的使用。