Victorian Audit of Surgical Mortality, Royal Australasian College of Surgeons, East Melbourne, Victoria, Australia.
Victorian Audit of Surgical Mortality, Royal Australasian College of Surgeons, East Melbourne, Victoria, Australia.
Comput Biol Med. 2019 Mar;106:40-45. doi: 10.1016/j.compbiomed.2019.01.004. Epub 2019 Jan 8.
The Victorian Audit of Surgical Mortality (VASM) is part of the Australian and New Zealand Audit of Surgical Mortality, aiming to identify factors associated with surgical mortality. A quality assurance method was utilised to rectify system issues through error rate checks of VASM data points. This method ensured data collected and entered in the audit database were accurate.
Clinical data was collected using case record forms (CRFs), entered from paper forms by VASM staff or by the surgeon into an online interface. Closed audited cases from 1 January 2012 to 31 December 2016 were analysed. From 5528 closed cases, 485 (8.8%) were reviewed, containing a total of 1117 CRFs and 169,789 data fields. Each CRF entered was visually inspected in the database against the source document by an independent audit staff member. The error rate for each period was calculated and considered acceptable below 10 per 10,000 fields.
Text errors made up the majority of data entry errors regardless of how the case was submitted.
Application of error rate checks is beneficial to maintain good clinical data. This activity improved and streamlined the data collection process to reduce errors associated with data entry. Once the entry system was stabilised, a reduction in error rate was observed showing potential for further improvements. We acknowledge that errors cannot be entirely eliminated and it is unrealistic. By investigating the rigour of the data management processes based on research guidelines, the findings can contribute to improve quality of clinical audits.
维多利亚手术死亡率审核(VASM)是澳大利亚和新西兰手术死亡率审核的一部分,旨在确定与手术死亡率相关的因素。采用质量保证方法,通过 VASM 数据点的错误率检查来纠正系统问题。该方法确保审核数据库中收集和输入的数据是准确的。
临床数据通过病例记录表(CRF)收集,由 VASM 工作人员或外科医生从纸质表格输入到在线界面。分析了 2012 年 1 月 1 日至 2016 年 12 月 31 日期间已关闭的病例。在 5528 例已关闭的病例中,有 485 例(8.8%)进行了审查,共包含 1117 份 CRF 和 169789 个数据字段。由独立审核人员在数据库中对每个输入的 CRF 与源文件进行视觉检查。计算每个时期的错误率,并认为每 10000 个字段低于 10 个是可以接受的。
无论病例提交方式如何,文本错误构成了数据录入错误的主要部分。
应用错误率检查有助于保持良好的临床数据。该活动改进并简化了数据收集过程,以减少与数据录入相关的错误。一旦输入系统稳定下来,就观察到错误率降低,表明有进一步改进的潜力。我们承认,错误不可能完全消除,这是不现实的。通过根据研究指南调查数据管理流程的严谨性,研究结果有助于提高临床审核的质量。