Enhancing smart healthcare in dentistry: an approach to managing patients' stress.

IF 2.5 4区 医学 Q2 HEALTH CARE SCIENCES & SERVICES Informatics for Health & Social Care Pub Date : 2021-09-02 Epub Date: 2021-03-30 DOI:10.1080/17538157.2021.1893322
Aleksandra Labus, Božidar Radenković, Branka Rodić, Dušan Barać, Adam Malešević
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引用次数: 3

Abstract

This paper presents a model of a smart healthcare service for stress management in dental patients during the interventions. The main goal is to provide dental clinics with a model that enables introducing a stress management service into everyday practice and provides patients with a better experience in a typically stressful situation. The approach is based on employing wearable sensors for monitoring physiological parameters, and a mobile application for progressive muscle relaxation therapy. Dental patients were divided into experimental and control groups. Participants from the experimental group were treated with progressive muscle relaxation through mobile health application with audio content, and patients from the control group were not exposed to any relaxation method. Heart rate was measured in both groups through three test phases: pre-intervention, intervention, and post-intervention. Evaluation of the anxiety level was performed using the STAI test. Results show that the measured heart rate in the post-intervention phase is lower than in the intervention phase in both testing groups, as well as in the pre-intervention phase. STAI scores were significantly higher in the control group through all test phases. The research found that the proposed system applied to dentist patients may relieve their anxiety symptoms and decrease stress level, which improves the patients' experience and leads to higher patients' satisfaction.

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加强牙科智能医疗:一种管理患者压力的方法。
本文提出了一种智能医疗服务模型,用于干预期间牙科患者的压力管理。主要目标是为牙科诊所提供一种模式,使其能够将压力管理服务引入日常实践,并在典型的压力情况下为患者提供更好的体验。该方法基于使用可穿戴传感器来监测生理参数,以及用于渐进式肌肉放松治疗的移动应用程序。将牙科患者分为实验组和对照组。实验组患者通过带有音频内容的移动健康应用程序进行渐进式肌肉放松治疗,对照组患者不进行任何放松方法。通过三个测试阶段测量两组的心率:干预前、干预后和干预后。焦虑水平评估采用STAI测试。结果表明,两组患者干预后的心率均低于干预前和干预后的心率。在所有测试阶段,对照组的STAI得分均显著高于对照组。研究发现,该系统应用于牙科患者,可以缓解患者的焦虑症状,降低患者的压力水平,改善患者的体验,提高患者的满意度。
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来源期刊
CiteScore
6.10
自引率
4.20%
发文量
21
审稿时长
>12 weeks
期刊介绍: Informatics for Health & Social Care promotes evidence-based informatics as applied to the domain of health and social care. It showcases informatics research and practice within the many and diverse contexts of care; it takes personal information, both its direct and indirect use, as its central focus. The scope of the Journal is broad, encompassing both the properties of care information and the life-cycle of associated information systems. Consideration of the properties of care information will necessarily include the data itself, its representation, structure, and associated processes, as well as the context of its use, highlighting the related communication, computational, cognitive, social and ethical aspects. Consideration of the life-cycle of care information systems includes full range from requirements, specifications, theoretical models and conceptual design through to sustainable implementations, and the valuation of impacts. Empirical evidence experiences related to implementation are particularly welcome. Informatics in Health & Social Care seeks to consolidate and add to the core knowledge within the disciplines of Health and Social Care Informatics. The Journal therefore welcomes scientific papers, case studies and literature reviews. Examples of novel approaches are particularly welcome. Articles might, for example, show how care data is collected and transformed into useful and usable information, how informatics research is translated into practice, how specific results can be generalised, or perhaps provide case studies that facilitate learning from experience.
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