Suppr超能文献

基于实践的对基层医疗中计算机化循证指南的纵向定性访谈研究。

Practice based, longitudinal, qualitative interview study of computerised evidence based guidelines in primary care.

作者信息

Rousseau Nikki, McColl Elaine, Newton John, Grimshaw Jeremy, Eccles Martin

机构信息

Centre for Health Services Research, University of Newcastle upon Tyne, Newcastle upon Tyne NE2 4AA.

出版信息

BMJ. 2003 Feb 8;326(7384):314. doi: 10.1136/bmj.326.7384.314.

Abstract

OBJECTIVE

To understand the factors influencing the adoption of a computerised clinical decision support system for two chronic diseases in general practice.

DESIGN

Practice based, longitudinal, qualitative interview study.

SETTING

Five general practices in north east England.

PARTICIPANTS

13 respondents (two practice managers, three nurses, and eight general practitioners) gave a total of 19 semistructured interviews. 40 people in practices included in the randomised controlled trial (34 doctors, three nurses) and interview study (three doctors, one previously interviewed) gave feedback.

RESULTS

Negative comments about the decision support system significantly outweighed the positive or neutral comments. Three main areas of concern among clinicians emerged: timing of the guideline trigger, ease of use of the system, and helpfulness of the content. Respondents did not feel that the system fitted well within the general practice context. Experience of "on-demand" information sources, which were generally more positively viewed, informed the comments about the system. Some general practitioners suggested that nurses might find the guideline content more clinically useful and might be more prepared to use a computerised decision support system, but lack of feedback from nurses who had experienced the system limited the ability to assess this.

CONCLUSIONS

Significant barriers exist to the use of complex clinical decision support systems for chronic disease by general practitioners. Key issues include the relevance and accuracy of messages and the flexibility to respond to other factors influencing decision making in primary care.

摘要

目的

了解在全科医疗中影响采用针对两种慢性病的计算机化临床决策支持系统的因素。

设计

基于实践的纵向定性访谈研究。

地点

英格兰东北部的五家全科医疗机构。

参与者

13名受访者(两名医疗机构经理、三名护士和八名全科医生)共接受了19次半结构化访谈。参与随机对照试验的医疗机构中的40人(34名医生、三名护士)以及参与访谈研究的人员(三名医生、一名之前接受过访谈的人员)提供了反馈。

结果

对决策支持系统的负面评价显著多于正面或中性评价。临床医生出现了三个主要关注领域:指南触发的时机、系统的易用性以及内容的实用性。受访者认为该系统与全科医疗环境不太契合。“按需”信息源的经验(通常得到更积极的评价)为有关该系统的评论提供了参考。一些全科医生表示,护士可能会发现指南内容在临床上更有用,并且可能更愿意使用计算机化决策支持系统,但缺乏使用过该系统的护士的反馈限制了对此进行评估的能力。

结论

全科医生在使用针对慢性病的复杂临床决策支持系统方面存在重大障碍。关键问题包括信息的相关性和准确性以及应对影响初级保健决策的其他因素的灵活性。

相似文献

6
A qualitative analysis of how advanced practice nurses use clinical decision support systems.
J Am Acad Nurse Pract. 2007 Dec;19(12):652-67. doi: 10.1111/j.1745-7599.2007.00266.x.
7
The future of Cochrane Neonatal.
Early Hum Dev. 2020 Nov;150:105191. doi: 10.1016/j.earlhumdev.2020.105191. Epub 2020 Sep 12.

引用本文的文献

1
Evidence-based general practice: a scoping review.
BMC Prim Care. 2025 May 14;26(1):161. doi: 10.1186/s12875-025-02838-6.
3
Perspective Toward Machine Learning Implementation in Pediatric Medicine: Mixed Methods Study.
JMIR Med Inform. 2022 Nov 17;10(11):e40039. doi: 10.2196/40039.
4
Artificial intelligence-based clinical decision support in pediatrics.
Pediatr Res. 2023 Jan;93(2):334-341. doi: 10.1038/s41390-022-02226-1. Epub 2022 Jul 29.
5
Artificial Intelligence: A Shifting Paradigm in Cardio-Cerebrovascular Medicine.
J Clin Med. 2021 Dec 6;10(23):5710. doi: 10.3390/jcm10235710.
7
Enhancing trust in clinical decision support systems: a framework for developers.
BMJ Health Care Inform. 2021 Jun;28(1). doi: 10.1136/bmjhci-2020-100247.
8
Using artificial intelligence for improving stroke diagnosis in emergency departments: a practical framework.
Ther Adv Neurol Disord. 2020 Aug 25;13:1756286420938962. doi: 10.1177/1756286420938962. eCollection 2020.
10
De-implementing wisely: developing the evidence base to reduce low-value care.
BMJ Qual Saf. 2020 May;29(5):409-417. doi: 10.1136/bmjqs-2019-010060. Epub 2020 Feb 6.

本文引用的文献

2
Why general practitioners do not implement evidence: qualitative study.
BMJ. 2001 Nov 10;323(7321):1100-2. doi: 10.1136/bmj.323.7321.1100.
4
Evaluating informatics applications--clinical decision support systems literature review.
Int J Med Inform. 2001 Nov;64(1):15-37. doi: 10.1016/s1386-5056(01)00183-6.
5
Evidence-based guideline on the primary care management of asthma.
Fam Pract. 2001 Apr;18(2):223-9. doi: 10.1093/fampra/18.2.223.
6
Evidence-based guideline for the primary care management of stable angina.
Fam Pract. 2001 Apr;18(2):217-22. doi: 10.1093/fampra/18.2.217.
8
The contextual nature of medical information.
Int J Med Inform. 1999 Dec;56(1-3):51-60. doi: 10.1016/s1386-5056(99)00041-6.
9
Why don't physicians follow clinical practice guidelines? A framework for improvement.
JAMA. 1999 Oct 20;282(15):1458-65. doi: 10.1001/jama.282.15.1458.
10
Enabling the implementation of evidence based practice: a conceptual framework.
Qual Health Care. 1998 Sep;7(3):149-58. doi: 10.1136/qshc.7.3.149.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验