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The healthcare complaints analysis tool: development and reliability testing of a method for service monitoring and organisational learning

机译:医疗保健投诉分析工具:用于服务监控和组织学习的方法的开发和可靠性测试

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Background Letters of complaint written by patients and their advocates reporting poor healthcare experiences represent an under-used data source. The lack of a method for extracting reliable data from these heterogeneous letters hinders their use for monitoring and learning. To address this gap, we report on the development and reliability testing of the Healthcare Complaints Analysis Tool (HCAT). ududMethods HCAT was developed from a taxonomy of healthcare complaints reported in a previously published systematic review. It introduces the novel idea that complaints should be analysed in terms of severity. Recruiting three groups of educated lay participants (n=58, n=58, n=55), we refined the taxonomy through three iterations of discriminant content validity testing. We then supplemented this refined taxonomy with explicit coding procedures for seven problem categories (each with four levels of severity), stage of care and harm. These combined elements were further refined through iterative coding of a UK national sample of healthcare complaints (n= 25, n=80, n=137, n=839). To assess reliability and accuracy for the resultant tool, 14 educated lay participants coded a referent sample of 125 healthcare complaints. ududResults The seven HCAT problem categories (quality, safety, environment, institutional processes, listening, communication, and respect and patient rights) were found to be conceptually distinct. On average, raters identified 1.94 problems (SD=0.26) per complaint letter. Coders exhibited substantial reliability in identifying problems at four levels of severity; moderate and substantial reliability in identifying stages of care (except for ‘discharge/transfer’ that was only fairly reliable) and substantial reliability in identifying overall harm. ududConclusions HCAT is not only the first reliable tool for coding complaints, it is the first tool to measure the severity of complaints. It facilitates service monitoring and organisational learning and it enables future research examining whether healthcare complaints are a leading indicator of poor service outcomes. HCAT is freely available to download and use.
机译:背景患者和他们的拥护者写的抱怨他们的医疗保健经验差的投诉信代表了未充分利用的数据源。从这些异构字母中提取可靠数据的方法的缺乏阻碍了它们用于监视和学习。为了解决这一差距,我们报告了医疗保健投诉分析工具(HCAT)的开发和可靠性测试。 ud udMethods HCAT是根据先前发布的系统评价中报告的医疗保健投诉分类法开发的。它引入了一种新颖的想法,即应该根据严重性来分析投诉。我们招募了三组受过良好教育的非专业参与者(n = 58,n = 58,n = 55),通过判别内容有效性测试的三个迭代来完善分类法。然后,我们用针对七个问题类别(每个类别的严重性为四个级别),护理阶段和伤害的显式编码程序对这种改进的分类法进行了补充。通过对英国全国医疗保健投诉样本(n = 25,n = 80,n = 137,n = 839)进行迭代编码,进一步完善了这些组合元素。为了评估所得工具的可靠性和准确性,由14位受过教育的非专业参与者编写了125个医疗保健投诉的参考样本。 ud udResults结果发现,七个HCAT问题类别(质量,安全性,环境,体制过程,倾听,沟通以及尊重和患者权利)在概念上是不同的。评分者平均每封投诉信发现1.94个问题(SD = 0.26)。编码人员在识别四个严重级别的问题时表现出了很高的可靠性。在确定护理阶段时具有中等和实质性的可靠性(只是“相当可靠”的“出院/转移”除外),而在确定整体危害方面具有相当的可靠性。 ud ud结论HCAT不仅是第一个可靠的投诉编码工具,还是第一个衡量投诉严重性的工具。它促进了服务监控和组织学习,并使未来的研究能够检查医疗保健投诉是否是服务效果差的主要指标。 HCAT可免费下载和使用。

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