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Benefits of an E-learning Intervention for Implementing Stroke Rehabilitation Best Practices

机译:电子学习干预对实施卒中康复最佳实践的好处

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摘要

Serious gaps between best and actual stroke rehabilitation practices continue to exist, even with the plethora of evidence and guidelines for stroke best practice management. To address this knowledge gap with an effective knowledge translation (KT) intervention, six steps of the Knowledge to Action (KTA) Model were applied to these specific research objectives: 1) to conduct a systematic review to examine evidence on the effectiveness of single/multi-component KT interventions for improving knowledge, attitudes, and rehabilitation practice behaviors of occupational therapists (OTs) and physical therapists (PTs), in order to inform the design of a KT intervention; 2) to conduct usability testing to explore factors that facilitate or hinder OTs' and PTs' use of an evidence-based, stroke rehabilitation-specific e-learning resource (Stroke Engine; www.strokengine.ca), as a preliminary step in its potential use as a KT intervention; and, 3) to conduct a KT intervention study to determine the extent of knowledge acquired regarding stroke rehabilitation best practices by OTs and PTs while using Stroke Engine as an e-learning KT intervention for three months. A sub-objective was to identify the association between knowledge acquired and factors related to the clinician, their work environment, and adherence to the KT intervention.;Main findings from this research agenda suggested that use of active, multi-component KT interventions resulted in some knowledge gains among physical therapists, but additional research was needed to understand impact of these strategies on occupational therapists. During Stroke Engine testing, factors hindering its use were identified and the website was modified to maximize its usability as an e-learning KT intervention. Clinicians were satisfied with Stroke Engine as it provided them with the latest stroke evidence in a quick, user-friendly format. Finally, significant improvements in clinicians' proportion of 'evidence-based' responses on the Stroke Rehabilitation Knowledge Questionnaire were observed between baseline and following Stroke Engine use as a KT intervention. Intensity of Stroke Engine use was the most significant predictor for clinicians' improved 'evidence-based' knowledge on the Questionnaire. It was concluded that Stroke Engine has promise as an effective e-learning KT intervention for enhancing rehabilitation clinicians' knowledge of stroke best practices.
机译:最佳和实际中风康复实践之间仍然存在严重的差距,即使有大量的证据和中风最佳实践管理指南也是如此。为了通过有效的知识翻译(KT)干预来解决这一知识鸿沟,将知识行动(KTA)模型的六个步骤应用于这些特定的研究目标:1)进行系统的审查,以检查关于单一/多成分KT干预措施,用于改善职业治疗师(OT)和物理治疗师(PT)的知识,态度和康复实践行为,从而为KT干预措施的设计提供信息; 2)进行可用性测试,以探索促进或阻碍OT和PT使用基于证据的中风康复专用电子学习资源(Stroke Engine; www.strokengine.ca)的因素,作为其第一步。可能用作KT干预措施; 3)进行KT干预研究,以确定OT和PT在中风康复最佳实践方面获得的知识程度,同时将Stroke Engine作为电子学习KT干预进行三个月。一个次要目的是确定所获得的知识与与临床医生,他们的工作环境以及对KT干预的依从性相关的因素之间的关联。该研究议程的主要发现表明,使用积极的,多成分的KT干预可导致物理治疗师可以获得一些知识,但是还需要进一步的研究以了解这些策略对职业治疗师的影响。在Stroke Engine测试期间,确定了阻碍其使用的因素,并对该网站进行了修改,以最大限度地提高其作为电子学习KT干预的可用性。临床医生对Stroke Engine感到满意,因为它以快速,用户友好的格式为他们提供了最新的中风证据。最后,在基线和将卒中引擎用作KT干预之间,在卒中康复知识问卷中,临床医生对“循证”回答的比例有了显着改善。对于研究人员对问卷的“循证医学”知识的改进,卒中引擎的使用强度是最重要的预测指标。结论是,Stroke Engine有望作为一种有效的电子学习KT干预手段,以增强康复临床医生对卒中最佳实践的了解。

著录项

  • 作者

    Menon, Anita.;

  • 作者单位

    University of Toronto (Canada).;

  • 授予单位 University of Toronto (Canada).;
  • 学科 Physical therapy.;Health care management.;Continuing education.;Health education.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 201 p.
  • 总页数 201
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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