[移动计算系统在中风临床前护理中的应用。德国教育与研究部(BMBF)项目“PerCoMed”中“中风天使”计划的成果]

[Mobile computing systems in preclinical care of stroke. Results of the Stroke Angel initiative within the BMBF project PerCoMed].

作者信息

Ziegler V, Rashid A, Müller-Gorchs M, Kippnich U, Hiermann E, Kögerl C, Holtmann C, Siebler M, Griewing B

机构信息

Neurologische Klinik, Rhön Klinikum, Von-Guttenberg Str. 10, 97616, Bad Neustadt/Saale, Deutschland.

出版信息

Anaesthesist. 2008 Jul;57(7):677-85. doi: 10.1007/s00101-008-1395-x.

Abstract

BACKGROUND

Telemedical networks that apply innovative mobile information technologies (IT) are an innovative approach to improve stroke care in community settings. Within the German Stroke Angel initiative and the research project PerCoMed (Pervasive Computing in Medical Care, funded by the Federal Ministry of Education and Research, http://www.percomed.de) the effects of such a solution were assessed by an interdisciplinary research approach. The main goal of the team of researchers and practitioners was to provide clear evidence of improvements in intersectional processes of the stroke chain survival, namely in the acute stroke processes between prehospital rescue services and hospital stroke units.

MATERIAL AND METHODS

Between October 2005 and October 2007 the paramedical staff of five rescue service transporters in a rural area of northern Bavaria was included in a network with the stroke unit of the Neurological Clinic Bad Neustadt. Telemedical support by the Stroke Angel computing system - a software running on a personal digital assistant (PDA) to transmit patient data from the rescue team to the hospital during patient transporting time - was established. As procedural guidance, the Stroke Angel system suggests a predefined path through the necessary emergency procedures according to the structure of the mandatory protocol and the implemented Los Angeles Prehospital Stroke Screen (LAPSS).

RESULTS

In the empirical study the authors obtained a complete data set of 226 consecutively admitted patients for analysis in Bad Neustadt and LAPSS data of 217 patients from a second scenario in Düsseldorf. Medical, economic and technical analyses were applied. The technological robustness of the Stroke Angel system could be proven and information entered was transmitted fully and correctly. Concerning medical research questions, for both scenario locations LAPSS with a sensitivity of 68.3% and a specificity of 85.1% has to be deemed insufficient. Hence, alternative algorithms will have to be used in the next steps of evaluation. The system significantly influenced the clinical process of acute stroke management more than the preclinical ones (door-to-CT: 32 min. before and 16 min. at the end of the project). Lysis treatment rose from 6.12% (2005) to 11.17% (2007) of patients with acute stroke.

CONCLUSIONS

From the set of perspectives taken, the study illustrates that mobile computing technologies offer new and innovative approaches to improve intersectional acute stroke care. It also teaches the participants that interdisciplinary research can significantly deepen the understanding of such technologies and projects, which can lead to better decision making concerning solution implementation, management and improvements. The approach will be brought into daily practice in Bad Neustadt/Saale within the next months.

摘要

背景

应用创新型移动信息技术的远程医疗网络是改善社区中风护理的一种创新方法。在德国中风天使倡议和研究项目PerCoMed(医疗保健中的普适计算,由联邦教育与研究部资助,http://www.percomed.de)中,通过跨学科研究方法评估了这种解决方案的效果。研究人员和从业者团队的主要目标是明确证明中风链生存的交叉过程有所改善,即在院前急救服务与医院中风单元之间的急性中风过程中。

材料与方法

2005年10月至2007年10月期间,巴伐利亚北部农村地区五家急救服务运输公司的医护人员被纳入与巴特新施塔特神经科诊所中风单元的网络。建立了中风天使计算系统的远程医疗支持,该系统是一种运行在个人数字助理(PDA)上的软件,用于在患者转运期间将患者数据从救援队传输到医院。作为程序指南,中风天使系统根据强制协议的结构和实施的洛杉矶院前中风筛查(LAPSS),建议通过必要的紧急程序的预定义路径。

结果

在实证研究中,作者获得了巴特新施塔特226例连续入院患者的完整数据集用于分析,以及来自杜塞尔多夫第二个场景的217例患者的LAPSS数据。进行了医学、经济和技术分析。中风天使系统的技术稳健性得到了证明,输入的信息能够完整、正确地传输。关于医学研究问题,对于两个场景地点,LAPSS的灵敏度为68.3%,特异度为85.1%,被认为是不够的。因此,在下一步评估中将不得不使用替代算法。该系统对急性中风管理临床过程的影响明显大于临床前过程(项目开始前门到CT时间为32分钟,项目结束时为16分钟)。急性中风患者的溶栓治疗从2005年的6.12%上升到2007年的11.17%。

结论

从所采用的一系列观点来看,该研究表明移动计算技术为改善交叉急性中风护理提供了新的创新方法。它还让参与者认识到跨学科研究可以显著加深对这些技术和项目的理解,从而在解决方案实施、管理和改进方面做出更好的决策。该方法将在未来几个月内在巴特新施塔特/萨勒投入日常实践。

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