收集和利用病人种族数据在一般做法和医院在联合王国:定性案例研究。

Zoe Morrison, Bernard Fernando, Dipak Kalra, Kathrin Cresswell, Ann Robertson, Aziz Sheikh
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引用次数: 11

摘要

背景:虽然收集患者种族数据是英国公共资助的医疗保健提供者的要求,但由于人们对种族记录的了解仍然很少,因此不太理想。目的和目标:我们试图了解在电子健康记录中收集和利用种族数据的推动因素和障碍,这些做法是如何发展的,以及这些信息为不同的利益攸关方群体提供了什么好处。方法:我们进行了深入的定性案例研究,利用访谈和从英国学者、管理人员和管理人员中获得的文件。结果:有关患者种族的信息被收集和编码为行政患者数据,和/或在临床记录中以叙述的形式。由于不同的地方、区域和国家政策和流程,我们确定了种族分类、编码方法和完整性水平方面的差异。大多数参与者无法确定种族信息的任何临床价值,许多人不知道数据是否以及何时在服务之间共享或用于支持护理和研究质量。结论:研究结果强调了数据分类的实质性差异,以及数据收集和使用方面的实际挑战,这些挑战破坏了所收集数据的完整性。未来的工作需要集中在向一线临床医生解释这些数据的用途,确定可以支持忙碌的专业人员收集标准化数据的资源,然后,一旦收集到,最大限度地利用这些数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The collection and utilisation of patient ethnicity data in general practices and hospitals in the United Kingdom: a qualitative case study.

Background: Although the collection of patient ethnicity data is a requirement of publicly funded healthcare providers in the UK, recording of ethnicity is sub-optimal for reasons that remain poorly understood.

Aims and objectives: We sought to understand enablers and barriers to the collection and utilisation of ethnicity data within electronic health records, how these practices have developed and what benefit this information provides to different stakeholder groups.

Methods: We undertook an in-depth, qualitative case study drawing on interviews and documents obtained from participants working as academics, managers and administrators within the UK.

Results: Information regarding patient ethnicity was collected and coded as administrative patient data, and/or in narrative form within clinical records. We identified disparities in the classification of ethnicity, approaches to coding and levels of completeness due to differing local, regional and national policies and processes. Most participants could not identify any clinical value of ethnicity information and many did not know if and when data were shared between services or used to support quality of care and research.

Conclusions: Findings highlighted substantial variations in data classification, and practical challenges in data collection and usage that undermine the integrity of data collected. Future work needs to focus on explaining the uses of these data to frontline clinicians, identifying resources that can support busy professionals to collect standardised data and then, once collected, maximising the utility of these data.

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