Effect of Optimizing Medical Rehabilitation System for Patients with Coronavirus Disease 2019 Using the Functional Resonance Analysis Method.

IF 1.5
Progress in rehabilitation medicine Pub Date : 2023-09-26 eCollection Date: 2023-01-01 DOI:10.2490/prm.20230032
Naoki Sasanuma, Keiko Takahashi, Ai Yanagida, Yohei Miyagi, Seiya Yamakawa, Tetsu Seo, Yuki Uchiyama, Norihiko Kodama, Kazuhisa Domen
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Abstract

Objectives: Coronavirus infection 2019 (COVID-19) is an indication for rehabilitation medicine, especially in severe cases. However, there has been no system analysis of safe and continuous provision of medical rehabilitation for COVID-19 patients. The aim of this study was to confirm the effectiveness of rehabilitation for severe COVID-19 and to analyze the optimization of the medical rehabilitation system using the Functional Resonance Analysis Method (FRAM).

Methods: The subject of the analysis was the medical rehabilitation system itself, which had been implemented by the Rehabilitation Center of our hospital in response to the increased number of COVID-19 patients. In the FRAM analysis, Functions were identified, and their relationships were examined. Functions were established using a hierarchical cross-check by the authors. Patient outcomes resulting from optimization of the rehabilitation system were length of hospital stay, patient independence in daily living, and rehabilitation-related medical costs, and these were statistically validated.

Results: In repeated optimizations of the rehabilitation system, the main issues were "handling of infected patients and isolation of usual clinical practice," "staff rotation," and "remote consultation". The modification of the medical rehabilitation system was associated with shorter hospital stays, shorter periods of time without prescription, faster improvement in independence of daily living, and lower rehabilitation-related medical costs.

Conclusions: Optimization at each stage of medical rehabilitation resulted in positive effects on patient outcomes. FRAM is useful for identifying and the optimization of key functions.

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使用功能共振分析方法优化2019冠状病毒病患者医疗康复系统的效果。
目的:2019冠状病毒感染(新冠肺炎)是康复医学的适应症,尤其是在重症病例中。然而,尚未对新冠肺炎患者的安全和持续医疗康复进行系统分析。本研究旨在确认康复治疗重症新冠肺炎的有效性,并利用功能共振分析方法(FRAM)分析医疗康复系统的优化,为应对新冠肺炎患者人数的增加,我院康复中心实施了该计划。在FRAM分析中,确定了功能,并检查了它们之间的关系。作者使用分层交叉检查建立了功能。康复系统优化后的患者结果包括住院时间、患者日常生活的独立性以及康复相关的医疗费用,这些都经过了统计学验证。结果:在康复系统的反复优化中,主要问题是“感染患者的处理和常规临床实践的隔离”、“工作人员轮换”和“远程会诊”。医疗康复系统的修改缩短了住院时间,缩短了无处方的时间,更快地提高了日常生活的独立性,并降低了与康复相关的医疗费用。结论:医疗康复各个阶段的优化对患者的预后产生了积极影响。FRAM有助于识别和优化关键功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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