开发一种数字健康干预,用于脑损伤后的对话技能 (convers-ABI-lity) 使用一种协作方法:混合方法研究
Petra Avramović1, Rachael Rietdijk2, Belinda Kenny3
1Discipline of Speech Pathology, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia.
Journal of medical Internet research
|August 9, 2023
概括
一个新的基于网络的沟通合作伙伴培训 (CPT) 计划,convers-ABI-lity,显示了改善获得性脑损伤 (ABI) 患者及其沟通伙伴的对话技能的承诺.
科学领域:
- 神经科学是一个神经科学.
- 康复医学 康复医学 康复医学
- 数字健康数字健康
背景情况:
- 获得性脑损伤 (ABI) 经常导致持续的沟通中断,影响社会和职业重返社会.
- 沟通伙伴培训 (CPT) 是ABI患者的重要康复策略.
- 数字健康解决方案为可访问的,长期的CPT提供了潜力,特别是在偏远地区.
研究的目的:
- 与关键利益相关者合作开发一种新的多式联网CPT干预 (convers-ABI-lity).
- 评估对话-ABI-lity的可行性,以提高ABI后的对话技能.
主要方法:
- 该研究使用了IDEAS框架来开发数字健康干预措施.
- 代设计涉及到来自ABI患者,家庭成员和专业人员的最终用户反.
- 一项使用3个二的概念验证研究评估了在7周内使用盲目评级和自我报告措施的可行性.
主要成果:
- 开发的对话-ABI-lity干预证明了基于盲目评级的对话技能的积极变化.
- 在自我报告的社交沟通和生活质量方面,统计学上有显著的改善.
- 参与者发现干预是相关的,有吸引力的和有益的.
结论:
- IDEAS框架成功指导了基于网络的CPT干预的发展,转换为ABI.
- 该干预措施显示出有希望的结果,改善了个人与ABI及其合作伙伴之间的沟通.
- 需要进一步研究更大的样本大小来确认有效性和疗效.
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