Suppr超能文献

影响临床医生对临床决策支持接受度的因素调查。

A survey of factors affecting clinician acceptance of clinical decision support.

作者信息

Sittig Dean F, Krall Michael A, Dykstra Richard H, Russell Allen, Chin Homer L

机构信息

Department of Medical Informatics, Northwest Permanente PC, Portland, OR, USA.

出版信息

BMC Med Inform Decis Mak. 2006 Feb 1;6:6. doi: 10.1186/1472-6947-6-6.

Abstract

BACKGROUND

Real-time clinical decision support (CDS) integrated into clinicians' workflow has the potential to profoundly affect the cost, quality, and safety of health care delivery. Recent reports have identified a surprisingly low acceptance rate for different types of CDS. We hypothesized that factors affecting CDS system acceptance could be categorized as relating to differences in patients, physicians, CDS-type, or environmental characteristics.

METHODS

We conducted a survey of all adult primary care physicians (PCPs, n = 225) within our group model Health Maintenance Organization (HMO) to identify factors that affect their acceptance of CDS. We defined clinical decision support broadly as "clinical information" that is either provided to you or accessible by you, from the clinical workstation (e.g., enhanced flow sheet displays, health maintenance reminders, alternative medication suggestions, order sets, alerts, and access to any internet-based information resources).

RESULTS

110 surveys were returned (49%). There were no differences in the age, gender, or years of service between those who returned the survey and the entire adult PCP population. Overall, clinicians stated that the CDS provided "helps them take better care of their patients" (3.6 on scale of 1:Never-5:Always), "is worth the time it takes" (3.5), and "reminds them of something they've forgotten" (3.2). There was no difference in the perceived acceptance rate of alerts based on their type (i.e., cost, safety, health maintenance). When asked about specific patient characteristics that would make the clinicians "more", "equally" or "less" likely to accept alerts: 41% stated that they were more (8% stated "less") likely to accept alerts on elderly patients (> 65 yrs); 38% were more (14% stated less) likely to accept alerts on patients with more than 5 current medications; and 38% were more (20% stated less) likely to accept alerts on patients with more than 5 chronic clinical conditions. Interestingly, 80% said they were less likely to accept alerts when they were behind schedule and 84% of clinicians admitted to being at least 20 minutes behind schedule "some", "most", or "all of the time".

CONCLUSION

Even though a majority of our clinical decision support suggestions are not explicitly followed, clinicians feel they are of benefit and would be even more beneficial if they had more time available to address them.

摘要

背景

整合到临床医生工作流程中的实时临床决策支持(CDS)有可能深刻影响医疗服务的成本、质量和安全性。最近的报告显示,不同类型的CDS的接受率低得出奇。我们假设,影响CDS系统接受度的因素可分为与患者、医生、CDS类型或环境特征的差异有关。

方法

我们对我们集团模式健康维护组织(HMO)内的所有成年初级保健医生(PCP,n = 225)进行了一项调查,以确定影响他们接受CDS的因素。我们将临床决策支持广义地定义为从临床工作站提供给您或您可访问的“临床信息”(例如,增强的流程图显示、健康维护提醒、替代药物建议、医嘱集、警报以及访问任何基于互联网的信息资源)。

结果

共收回110份调查问卷(49%)。回复调查问卷的医生与整个成年PCP群体在年龄、性别或服务年限方面没有差异。总体而言,临床医生表示,CDS提供的信息“有助于他们更好地照顾患者”(1 - 5分制,1分表示从不,5分表示总是,平均分为3.6),“值得花费时间”(3.5分),以及“提醒他们忘记的事情”(3.2分)。基于警报类型(即成本、安全、健康维护)的感知接受率没有差异。当被问及哪些特定的患者特征会使临床医生“更有可能”、“同样有可能”或“不太可能”接受警报时:41%的人表示他们更有可能(8%的人表示“不太可能”)接受针对老年患者(> 65岁)的警报;38%的人更有可能(14%的人表示不太可能)接受针对目前正在服用5种以上药物的患者的警报;38%的人更有可能(20%的人表示不太可能)接受针对患有5种以上慢性临床疾病的患者的警报。有趣的是,80%的人表示当他们落后于计划时不太可能接受警报,84%的临床医生承认“有时”、“大多数时候”或“一直”至少落后计划20分钟。

结论

尽管我们的大多数临床决策支持建议没有得到明确遵循,但临床医生认为它们是有益的,如果有更多时间来处理这些建议,它们会更有益。

相似文献

1
A survey of factors affecting clinician acceptance of clinical decision support.
BMC Med Inform Decis Mak. 2006 Feb 1;6:6. doi: 10.1186/1472-6947-6-6.
2
Clinicians' assessments of electronic medication safety alerts in ambulatory care.
Arch Intern Med. 2009 Sep 28;169(17):1627-32. doi: 10.1001/archinternmed.2009.300.
3
Clinician attitudes towards prescribing and implications for interventions in a multi-specialty group practice.
J Eval Clin Pract. 2008 Dec;14(6):969-73. doi: 10.1111/j.1365-2753.2007.00913.x. Epub 2008 May 2.
5
Understanding technology adoption in clinical care: clinician adoption behavior of a point-of-care reminder system.
Int J Med Inform. 2005 Aug;74(7-8):535-43. doi: 10.1016/j.ijmedinf.2005.03.007. Epub 2005 Apr 21.
6
Assessing the value of electronic prescribing in ambulatory care: a focus group study.
Int J Med Inform. 2009 Sep;78(9):571-8. doi: 10.1016/j.ijmedinf.2009.03.007. Epub 2009 Apr 22.
7
Improving acceptance of computerized prescribing alerts in ambulatory care.
J Am Med Inform Assoc. 2006 Jan-Feb;13(1):5-11. doi: 10.1197/jamia.M1868. Epub 2005 Oct 12.
10
Provider Attitudes Toward the Implementation of Clinical Decision Support Tools in Dental Practice.
J Evid Based Dent Pract. 2015 Dec;15(4):152-63. doi: 10.1016/j.jebdp.2015.09.001. Epub 2015 Sep 21.

引用本文的文献

1
Auditor Models to Suppress Poor AI Predictions Can Improve Human-AI Collaborative Performance.
medRxiv. 2025 Jun 24:2025.06.24.25330212. doi: 10.1101/2025.06.24.25330212.
2
SIGNALING SEPSIS SCENARIO DEVELOPMENT & VALIDATION.
Proc Hum Factors Ergon Soc Annu Meet. 2018 Sep;62(1):615-619. doi: 10.1177/1541931218621140. Epub 2018 Sep 27.
3
Association between cancer risk assessment tool use and GP consultation duration: an observational study.
Br J Gen Pract. 2025 May 2;75(754):e349-e356. doi: 10.3399/BJGP.2024.0135. Print 2025 May.
4
Facilitators and Barriers to Interacting With Clinical Decision Support in the ICU: A Mixed-Methods Approach.
Crit Care Explor. 2023 Aug 25;5(9):e0967. doi: 10.1097/CCE.0000000000000967. eCollection 2023 Sep.
5
Feasibility study of a clinical decision support system for polymedicated patients in primary care.
Healthc Technol Lett. 2023 May 8;10(3):62-72. doi: 10.1049/htl2.12046. eCollection 2023 Jun.

本文引用的文献

2
Reducing warfarin medication interactions: an interrupted time series evaluation.
Arch Intern Med. 2006 May 8;166(9):1009-15. doi: 10.1001/archinte.166.9.1009.
3
4
Exploring barriers and facilitators to the use of computerized clinical reminders.
J Am Med Inform Assoc. 2005 Jul-Aug;12(4):438-47. doi: 10.1197/jamia.M1777. Epub 2005 Mar 31.
6
How to design computerized alerts to safe prescribing practices.
Jt Comm J Qual Saf. 2004 Nov;30(11):602-13. doi: 10.1016/s1549-3741(04)30071-7.
9
Effects of computerized guidelines for managing heart disease in primary care.
J Gen Intern Med. 2003 Dec;18(12):967-76. doi: 10.1111/j.1525-1497.2003.30635.x.
10
Physicians' decisions to override computerized drug alerts in primary care.
Arch Intern Med. 2003 Nov 24;163(21):2625-31. doi: 10.1001/archinte.163.21.2625.

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