澳大利亚卒中数据工具(AuSDaT)的开发、实施和评估:用于多种用途的综合数据采集。

Olivia Ryan, Jot Ghuliani, Brenda Grabsch, Kelvin Hill, Geoffrey C Cloud, Sibilah Breen, Monique F Kilkenny, Dominique A Cadilhac
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引用次数: 0

摘要

背景:一直以来,澳大利亚收集中风数据的国家计划需要使用多种在线工具。临床医生需要在不同的数据库中为同一患者输入重叠的变量。从 2013 年到 2016 年,澳大利亚卒中数据工具(AuSDaT)作为一个综合数据管理解决方案被建立起来:本文介绍了建立 AuSDaT 的开发、实施和评估阶段:在开发阶段,建立了一个由不同数据收集计划的代表组成的管理机构。在开发阶段,建立了一个由不同数据收集项目的代表组成的管理机构。通过创建国家卒中数据字典,促进了数据变量的统一,这些变量来自医院用于监测卒中护理的六个项目。实施阶段包括在 12 个月内分阶段部署两个国家项目。评估包括对 2018 年 3 月至 2018 年 5 月间使用过 AuSDaT 的人员进行在线调查:到 2016 年 7 月,为单个患者输入的数据首次实现了国家计划之间的共享。总体而言,119/422 名用户(90% 为女性,61% 年龄在 30-49 岁之间,57% 为护士)完成了在线评估调查。据报告,AuSDaT 的两个最积极的特点是:(i) 系统的可访问性(包括用户同时访问);(ii) 能够下载报告,将本地数据与同行医院或国家绩效进行比较。超过四分之三的受访者(n = 92,77%)对数据收集工具表示总体满意:结论:AuSDaT 减少了重复工作,使来自不同国家中风项目的用户能够将标准化数据输入单一系统:这个例子可以帮助其他试图为存在多个数据收集项目的不同疾病领域建立统一数据管理解决方案的人。说明了对最终用户进行持续评估的重要性,以确定偏好和工具中不符合当前要求的方面。我们还强调了提高互操作性和实用性的机会,以及促进准确而有意义的数据交换的机会。
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Development, implementation, and evaluation of the Australian Stroke Data Tool (AuSDaT): Comprehensive data capturing for multiple uses.

Background: Historically, national programs for collecting stroke data in Australia required the use of multiple online tools. Clinicians were required to enter overlapping variables for the same patient in the different databases. From 2013 to 2016, the Australian Stroke Data Tool (AuSDaT) was built as an integrated data management solution.

Objective: In this article, we have described the development, implementation, and evaluation phases of establishing the AuSDaT.

Method: In the development phase, a governance structure with representatives from different data collection programs was established. Harmonisation of data variables, drawn from six programs used in hospitals for monitoring stroke care, was facilitated through creating a National Stroke Data Dictionary. The implementation phase involved a staged deployment for two national programs over 12 months. The evaluation included an online survey of people who had used the AuSDaT between March 2018 and May 2018.

Results: By July 2016, data entered for an individual patient was, for the first time, shared between national programs. Overall, 119/422 users (90% female, 61% aged 30-49 years, 57% nurses) completed the online evaluation survey. The two most positive features reported about the AuSDaT were (i) accessibility of the system (including simultaneous user access), and (ii) the ability to download reports to benchmark local data against peer hospitals or national performance. More than three quarters of respondents (n = 92, 77%) reported overall satisfaction with the data collection tool.

Conclusion: The AuSDaT reduces duplication and enables users from different national programs for stroke to enter standardised data into a single system.

Implications: This example may assist others who seek to establish a harmonised data management solution for different disease areas where multiple programs of data collection exist. The importance of undertaking continuous evaluation of end-users to identify preferences and aspects of the tool that are not meeting current requirements were illustrated. We also highlighted the opportunities to increase interoperability, utility, and facilitate the exchange of accurate and meaningful data.

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