CbI-M: Context-based Intervention Methodology for Rehabilitation of Persons with NCDs

H. M. Bilal, Usman Akhtar, Asim Abbas, Muhammad Asif Razzaq, U. Rehman, Jamil Hussain, S. Kang, Sungyoung Lee, Seong-Bae Park
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Abstract

Recent evidence shows that occurrence of Non-Communicable Diseases (NCDs) are the leading cause of death in low and middle-income countries. The fitness applications are not capable enough to help persons with NCDs to change their lifestyle behavior for improving life quality. Currently, the major focus of the existing healthcare applications is towards general public fitness. However, existing solutions lacks in monitoring and adaptation of healthy behaviors. The rehabilitation of person with NCDs is very demanding and challenging to avoid and reduce the advert impacts. In this paper, we argue that the context based behavior adaption observing multiple factors provides an appropriate solution. We have developed a methodology of context-based Just-in-Time actionable interventions for adopting healthy behavior. The risk factors defining the target context are obtained from literature and evaluated by 7 experts with inter-rater agreement kappa value of 0.5 based on 3 categories. The result shows the effectiveness of our proposed approach and depicts the usefulness of context-based intervention in terms of higher receptivity and user satisfaction level. The implicit feedback from 142 persons with different NCDs highlighted the effectiveness of methodology with 82.37% of responded intervention. Whereas, the explicit UEQ benchmark result indicated that the application got excellent responses in the categories of attractiveness, motivation, and novelty.
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基于情境的非传染性疾病患者康复干预方法
最近的证据表明,非传染性疾病的发生是低收入和中等收入国家的主要死亡原因。健身应用程序不足以帮助非传染性疾病患者改变他们的生活方式行为以提高生活质量。目前,现有的医疗保健应用程序的主要焦点是面向大众健身。然而,现有的解决方案缺乏对健康行为的监测和适应。非传染性疾病患者的康复是非常艰巨和具有挑战性的,以避免和减少广告影响。在本文中,我们认为基于情境的行为适应观察多因素提供了一个合适的解决方案。我们已经开发了一种基于上下文的即时可操作干预方法,以采用健康的行为。定义目标情境的危险因素从文献中获得,由7位专家根据3个类别,以评分间一致kappa值为0.5进行评估。结果显示了我们提出的方法的有效性,并描述了基于上下文的干预在更高的可接受性和用户满意度方面的有用性。142名不同非传染性疾病患者的隐性反馈突出了方法的有效性,有82.37%的回应干预。而显式UEQ基准测试结果表明,该应用程序在吸引力、动机和新颖性方面获得了良好的反应。
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