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采用电子临床决策支持系统的障碍和促进因素:对英国全科医生的定性访谈研究。

Barriers and facilitators to the adoption of electronic clinical decision support systems: a qualitative interview study with UK general practitioners.

机构信息

Department of Primary Care and Public Health, Brighton and Sussex Medical School, Watson Building, Village Way, Falmer, Brighton, BN1 9PH, UK.

School of Sport and Health Sciences, University of Brighton, Brighton, UK.

出版信息

BMC Med Inform Decis Mak. 2021 Jun 21;21(1):193. doi: 10.1186/s12911-021-01557-z.

Abstract

BACKGROUND

Well-established electronic data capture in UK general practice means that algorithms, developed on patient data, can be used for automated clinical decision support systems (CDSSs). These can predict patient risk, help with prescribing safety, improve diagnosis and prompt clinicians to record extra data. However, there is persistent evidence of low uptake of CDSSs in the clinic. We interviewed UK General Practitioners (GPs) to understand what features of CDSSs, and the contexts of their use, facilitate or present barriers to their use.

METHODS

We interviewed 11 practicing GPs in London and South England using a semi-structured interview schedule and discussed a hypothetical CDSS that could detect early signs of dementia. We applied thematic analysis to the anonymised interview transcripts.

RESULTS

We identified three overarching themes: trust in individual CDSSs; usability of individual CDSSs; and usability of CDSSs in the broader practice context, to which nine subthemes contributed. Trust was affected by CDSS provenance, perceived threat to autonomy and clear management guidance. Usability was influenced by sensitivity to the patient context, CDSS flexibility, ease of control, and non-intrusiveness. CDSSs were more likely to be used by GPs if they did not contribute to alert proliferation and subsequent fatigue, or if GPs were provided with training in their use.

CONCLUSIONS

Building on these findings we make a number of recommendations for CDSS developers to consider when bringing a new CDSS into GP patient records systems. These include co-producing CDSS with GPs to improve fit within clinic workflow and wider practice systems, ensuring a high level of accuracy and a clear clinical pathway, and providing CDSS training for practice staff. These recommendations may reduce the proliferation of unhelpful alerts that can result in important decision-support being ignored.

摘要

背景

英国普通实践中成熟的电子数据捕获意味着可以使用基于患者数据开发的算法为自动化临床决策支持系统 (CDSS) 提供支持。这些系统可以预测患者的风险,帮助确保处方安全,改善诊断并促使临床医生记录额外的数据。然而,临床中 CDSS 的采用率仍然很低。我们采访了英国的全科医生 (GP),以了解 CDSS 的哪些功能以及其使用环境有助于或成为其使用的障碍。

方法

我们使用半结构化访谈表对伦敦和英格兰南部的 11 名执业全科医生进行了访谈,并讨论了一个可以检测早期痴呆迹象的假设 CDSS。我们对匿名访谈记录进行了主题分析。

结果

我们确定了三个总体主题:对单个 CDSS 的信任;单个 CDSS 的可用性;以及 CDSS 在更广泛的实践环境中的可用性,这三个主题由九个子主题组成。信任受到 CDSS 来源、对自主权的感知威胁以及明确的管理指导的影响。可用性受到患者环境、CDSS 灵活性、易用性和非侵入性的影响。如果 CDSS 不会导致警报泛滥和随后的疲劳,或者为医生提供了有关其使用的培训,则更有可能被 GP 使用。

结论

基于这些发现,我们为 CDSS 开发人员提出了一些建议,供他们在将新的 CDSS 引入 GP 患者记录系统时考虑。这些建议包括与 GP 共同开发 CDSS,以改善其在临床工作流程和更广泛的实践系统中的适应性,确保高准确性和明确的临床途径,并为实践工作人员提供 CDSS 培训。这些建议可以减少可能导致重要决策支持被忽视的无益警报的泛滥。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d58b/8215812/3ffe9d590df5/12911_2021_1557_Fig1_HTML.jpg

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