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直击问题核心:一种改善心脏病学咨询服务利用情况的分诊模型。

Getting to the Heart of the Matter: A Triage Model to Improve Utilization of Cardiology Consultative Services.

作者信息

Agor Joseph K, Sir Mustafa Y, Pasupathy Kalyan S, Foley David A, Scott Christopher G, Elrashidi Muhamad Y, Young Nathan P, McKie Paul M

机构信息

School of Mechanical, Industrial, and Manufacturing Engineering, Oregon State University, Corvallis.

Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN.

出版信息

Mayo Clin Proc Innov Qual Outcomes. 2019 Oct 22;3(4):476-482. doi: 10.1016/j.mayocpiqo.2019.08.003. eCollection 2019 Dec.

DOI:10.1016/j.mayocpiqo.2019.08.003
PMID:31993566
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6978585/
Abstract

OBJECTIVE

To assess the impact of a triage system of emergency department (ED) referrals for outpatient cardiology appointments.

PATIENT AND METHODS

We implemented a triage system of ED referrals for outpatient cardiology appointments among patients with a cardiovascular chief complaint deemed safe to leave the ED but needing outpatient follow-up. There were 303 and 267 unique patients in the pre-triage implementation and post-triage implementation cohorts, respectively. We collected retrospective billing data to assess ED return visits, hospitalizations, cardiology outpatient visits, and cardiovascular testing. The pre-triage implementation cohort included patients with an ED visit date between January 1, 2014, and December 31, 2014. The post-triage implementation cohort included patients with an ED visit date between July 1, 2015, and June 30, 2016.

RESULTS

The triage model reduced the number of ED-referred cardiovascular service appointments by 73.0% (195 of 267 patients). Additionally, the "no-show" rate for appointments decreased from 17.8% (54 of 303 patients) to 7.9% (21 of 267 patients). There was no increase in ED return visits or unplanned hospitalizations in the posttriage cohort. Finally, the triage model was not associated with an increase in resource-intensive cardiovascular testing (eg, imaging stress tests or computed tomography).

CONCLUSION

Triage of ED referrals for outpatient cardiovascular service appointments reduced cardiology appointment utilization with no impact on return ED visits, hospitalizations, or cardiovascular testing.

摘要

目的

评估急诊科(ED)转诊至门诊心脏病预约的分诊系统的影响。

患者与方法

我们对因心血管主诉就诊且被认为可安全离开急诊科但需要门诊随访的患者实施了急诊科转诊至门诊心脏病预约的分诊系统。分诊实施前队列和分诊实施后队列分别有303例和267例不同患者。我们收集回顾性计费数据以评估急诊科复诊、住院、心脏病门诊就诊及心血管检查情况。分诊实施前队列包括2014年1月1日至2014年12月31日期间急诊科就诊的患者。分诊实施后队列包括2015年7月1日至2016年6月30日期间急诊科就诊的患者。

结果

分诊模式使急诊科转诊的心血管服务预约数量减少了73.0%(267例患者中的195例)。此外,预约的“爽约”率从17.8%(303例患者中的54例)降至7.9%(267例患者中的21例)。分诊后队列中的急诊科复诊或非计划住院情况没有增加。最后,分诊模式与资源密集型心血管检查(如影像负荷试验或计算机断层扫描)的增加无关。

结论

对急诊科转诊至门诊心血管服务预约进行分诊可降低心脏病预约利用率,且对急诊科复诊、住院或心血管检查无影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/108c/6978585/734f1eaadf11/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/108c/6978585/f5bf73eb7359/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/108c/6978585/734f1eaadf11/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/108c/6978585/f5bf73eb7359/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/108c/6978585/734f1eaadf11/gr2.jpg

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本文引用的文献

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Interventions to improve hospital patient satisfaction with healthcare providers and systems: a systematic review.提高医院患者对医疗服务提供者及医疗系统满意度的干预措施:一项系统评价
BMJ Qual Saf. 2017 Jul;26(7):596-606. doi: 10.1136/bmjqs-2015-004758. Epub 2016 Aug 3.
2
Implementation of the trigger review method in Scottish general practices: patient safety outcomes and potential for quality improvement.苏格兰常规医疗实践中触发式审查方法的实施:患者安全结果和质量改进的潜力。
BMJ Qual Saf. 2017 Apr;26(4):335-342. doi: 10.1136/bmjqs-2015-004093. Epub 2016 Mar 30.
3
Longer-term impact of cardiology e-consults.
心脏病学电子会诊的长期影响。
Am Heart J. 2016 Mar;173:86-93. doi: 10.1016/j.ahj.2015.11.019. Epub 2015 Dec 18.
4
Implementing an institution-wide quality improvement policy to ensure appropriate use of continuous cardiac monitoring: a mixed-methods retrospective data analysis and direct observation study.实施全机构范围的质量改进政策以确保连续心脏监测的合理使用:一项混合方法的回顾性数据分析和直接观察研究。
BMJ Qual Saf. 2016 Oct;25(10):796-802. doi: 10.1136/bmjqs-2015-004137. Epub 2015 Nov 13.
5
Electronic consultations (e-consults) to improve access to specialty care: a systematic review and narrative synthesis.改善专科护理可及性的电子会诊:一项系统评价与叙述性综合分析
J Telemed Telecare. 2015 Sep;21(6):323-30. doi: 10.1177/1357633X15582108. Epub 2015 May 20.
6
Developing and evaluating the success of a family activated medical emergency team: a quality improvement report.建立并评估家庭激活医疗急救团队的成效:一份质量改进报告。
BMJ Qual Saf. 2015 Mar;24(3):203-11. doi: 10.1136/bmjqs-2014-003001. Epub 2014 Dec 16.
7
Cardiology clinic follow-up did not decrease return visits to the ED for chest pain patients.心脏病诊所随访并未减少胸痛患者返回急诊科就诊的次数。
Am J Emerg Med. 2014 Oct;32(10):1208-11. doi: 10.1016/j.ajem.2014.07.002. Epub 2014 Jul 17.
8
Ten steps to establishing an e-consultation service to improve access to specialist care.建立电子咨询服务以改善专科护理可及性的十个步骤。
Telemed J E Health. 2013 Dec;19(12):982-90. doi: 10.1089/tmj.2013.0056. Epub 2013 Sep 27.
9
Uncertainty--the other side of prognosis.不确定性——预后的另一面。
N Engl J Med. 2013 Jun 27;368(26):2448-50. doi: 10.1056/NEJMp1303295.
10
Implementation of an electronic referral system for outpatient specialty care.实施门诊专科护理电子转诊系统。
AMIA Annu Symp Proc. 2011;2011:1337-46. Epub 2011 Oct 22.