为 2 型糖尿病患者认知康复随机对照试验开发和使用基于技术的数据管理系统。

IF 1.3 4区 医学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Cin-Computers Informatics Nursing Pub Date : 2024-04-01 DOI:10.1097/CIN.0000000000001094
Shenell T Wood, Heather Cuevas, Jeeyeon Kim, Alexa K Stuifbergen
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引用次数: 0

摘要

以技术为基础的干预措施在改善患者自我管理方面取得了成功,这为研究人员开发和实施自己的技术干预措施提供了动力。然而,文献中缺乏关于如何做到这一点的指导。在这篇文章中,我们描述了我们设计和实施基于技术的数据管理系统的电子流程,该系统用于实施一项随机对照试验,该试验采用全面的认知康复干预措施来改善 2 型糖尿病患者的认知功能和糖尿病自我管理。系统开发包括可行性评估、跨学科合作、设计绘图以及使用机构和商业可用软件。由此产生的框架为支持开发基于技术的干预措施提供了模板。最初的开发可能比较耗时,但基于技术的形式所带来的益处超过了任何缺点。
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Development and Use of a Tech-Based Data Management System for a Cognitive Rehabilitation Randomized Controlled Trial for People With Type 2 Diabetes.

Successful technology-based interventions to improve patients' self-management are providing an incentive for researchers to develop and implement their own technology-based interventions. However, the literature lacks guidance on how to do this. In this article, we describe the electronic process with which we designed and implemented a technology-based data management system to implement a randomized controlled trial of a comprehensive cognitive rehabilitation intervention to improve cognitive function and diabetes self-management in people with type 2 diabetes. System development included feasibility assessment, interdisciplinary collaboration, design mapping, and use of institutionally and commercially available software. The resulting framework offers a template to support the development of technology-based interventions. Initial development may be time-consuming, but the benefits of the technology-based format surpass any drawbacks.

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来源期刊
Cin-Computers Informatics Nursing
Cin-Computers Informatics Nursing 工程技术-护理
CiteScore
2.00
自引率
15.40%
发文量
248
审稿时长
6-12 weeks
期刊介绍: For over 30 years, CIN: Computers, Informatics, Nursing has been at the interface of the science of information and the art of nursing, publishing articles on the latest developments in nursing informatics, research, education and administrative of health information technology. CIN connects you with colleagues as they share knowledge on implementation of electronic health records systems, design decision-support systems, incorporate evidence-based healthcare in practice, explore point-of-care computing in practice and education, and conceptually integrate nursing languages and standard data sets. Continuing education contact hours are available in every issue.
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