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姑息治疗前瞻性质量评估与报告质量数据收集工具的开发

Development of the Quality Data Collection Tool for Prospective Quality Assessment and Reporting in Palliative Care.

作者信息

Kamal Arif H, Bull Janet, Kavalieratos Dio, Nicolla Jonathan M, Roe Laura, Adams Martha, Abernethy Amy P

机构信息

1 Duke University , Durham, North Carolina.

2 Four Seasons , Flat Rock, North Carolina.

出版信息

J Palliat Med. 2016 Nov;19(11):1148-1155. doi: 10.1089/jpm.2016.0036. Epub 2016 Jun 27.

Abstract

BACKGROUND

Assessing and reporting the quality of care provided are increasingly important in palliative care, but we currently lack practical, efficient approaches for collection and reporting.

OBJECTIVE

In response, the Global Palliative Care Quality Alliance ("Alliance") sought to create a Quality Data Collection Tool for Palliative Care (QDACT-PC).

METHODS

We collaboratively and iteratively developed QDACT-PC, an electronic, point-of-care quality monitoring system for palliative care that supports prospective quality assessment and reporting in any clinical setting. QDACT-PC is the web-based data collection and reporting interface. Quality measures selected to be used in QDACT-PC were derived from a systematic review summarizing all published palliative care quality measure sets; Alliance clinical providers prioritized measures to be included in QDACT-PC to ensure maximal clinical relevance. Data elements and variables required to ascertain conformance to all selected quality measures were included in the QDACT-PC data dictionary. Whenever possible, variables collected in QDACT-PC align with validated surveys and/or nationally recognized common data elements. QDACT-PC data elements and software programmed business rules inform real-time assessments of conformance to selected quality measures. Data are deposited into a centralized registry for future analyses.

RESULTS

QDACT-PC can be used to report on >80% of all published palliative care quality measures and 100% of high-priority measure.

CONCLUSION

Electronic methods for collecting point-of-care quality monitoring data can be developed using collaborative partnerships between community and academic palliative care providers. Feasibility testing and creation of feedback reports are ongoing.

摘要

背景

在姑息治疗中,评估和报告所提供的护理质量变得越来越重要,但我们目前缺乏实用、高效的收集和报告方法。

目的

作为回应,全球姑息治疗质量联盟(“联盟”)试图创建一个姑息治疗质量数据收集工具(QDACT-PC)。

方法

我们合作并迭代开发了QDACT-PC,这是一种用于姑息治疗的电子即时护理质量监测系统,支持在任何临床环境中进行前瞻性质量评估和报告。QDACT-PC是基于网络的数据收集和报告界面。选择用于QDACT-PC的质量指标源自一项系统综述,该综述总结了所有已发表的姑息治疗质量指标集;联盟临床提供者对纳入QDACT-PC的指标进行了优先级排序,以确保最大的临床相关性。确定符合所有选定质量指标所需的数据元素和变量包含在QDACT-PC数据字典中。只要有可能,QDACT-PC中收集的变量就与经过验证的调查和/或国家认可的通用数据元素保持一致。QDACT-PC数据元素和软件编程业务规则为符合选定质量指标的实时评估提供依据。数据存入中央登记处以供未来分析。

结果

QDACT-PC可用于报告所有已发表的姑息治疗质量指标的80%以上以及100%的高优先级指标。

结论

可以利用社区和学术姑息治疗提供者之间的合作关系开发收集即时护理质量监测数据的电子方法。可行性测试和反馈报告的创建正在进行中。

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