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      Effect of the telemedicine-supported multicomponent exercise therapy in patients with knee osteoarthritis: study protocol for a randomized controlled trial

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          Abstract

          Introduction

          The rising prevalence of knee osteoarthritis is placing a considerable strain on the global healthcare system. To address this issue, telemedicine-supported multicomponent exercise therapy has emerged as a promising approach. This therapy combines exercise, patient education, and health coaching to empower knee osteoarthritis patients to manage their condition from the comfort of their homes. Nevertheless, there are some existing limitations in the current research on this approach, including challenges related to patient compliance and the absence of objective evaluation methods.

          Methods and analysis

          Patients diagnosed with knee osteoarthritis, who have not undergone knee surgery in the past year, will be recruited for a randomized controlled trial. The trial will include an intervention group and a control group. The intervention group will receive an mHealth app-based multicomponent exercise therapy, consisting of exercise therapy, patient education, and health coaching. Meanwhile, the control group will receive usual care, involving drug therapy and patient education. The primary outcome of the trial will be the measurement of pain intensity, assessed using a visual analog scale at baseline and at 4, 8, and 12 weeks of the post-intervention. To analyze the data, a two-factor, four-level repeated measures ANOVA will be used if the assumptions of homogeneity of variance and sphericity are met. If not, a mixed effects model will be employed.

          Discussion

          The aim of the study is to evaluate the effectiveness of multicomponent exercise therapy aimed at enhancing pain self-management for knee osteoarthritis patients in the comfort of their own homes. The intervention incorporate wearable devices equipped with advanced deep learning systems to monitor patients' adherence to the prescribed at-home exercise regimen, as well as to track changes in outcomes before and after the exercise sessions. The findings from this trial have the potential to enhance both the accessibility and quality of care provided to knee osteoarthritis patients, offering valuable insights for future improvements in their treatment and management.

          Trial registration

          Chinese Clinical Trials Registry, ChiCTR2300073688. Registered on 19 July 2023, https://www.chictr.org.cn/bin/project/edit?pid=199707. World Health Organization International Clinical Trials Registry Platform, https://trialsearch.who.int/Trial2.aspx?TrialID=ChiCTR2300073688.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13063-023-07749-4.

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          Most cited references43

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          The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories

          The psychometric properties of the Depression Anxiety Stress Scales (DASS) were evaluated in a normal sample of N = 717 who were also administered the Beck Depression Inventory (BDI) and the Beck Anxiety Inventory (BAI). The DASS was shown to possess satisfactory psychometric properties, and the factor structure was substantiated both by exploratory and confirmatory factor analysis. In comparison to the BDI and BAI, the DASS scales showed greater separation in factor loadings. The DASS Anxiety scale correlated 0.81 with the BAI, and the DASS Depression scale correlated 0.74 with the BDI. Factor analyses suggested that the BDI differs from the DASS Depression scale primarily in that the BDI includes items such as weight loss, insomnia, somatic preoccupation and irritability, which fail to discriminate between depression and other affective states. The factor structure of the combined BDI and BAI items was virtually identical to that reported by Beck for a sample of diagnosed depressed and anxious patients, supporting the view that these clinical states are more severe expressions of the same states that may be discerned in normals. Implications of the results for the conceptualisation of depression, anxiety and tension/stress are considered, and the utility of the DASS scales in discriminating between these constructs is discussed.
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            The role of telehealth during COVID-19 outbreak: a systematic review based on current evidence

            Background The outbreak of coronavirus disease-19 (COVID-19) is a public health emergency of international concern. Telehealth is an effective option to fight the outbreak of COVID-19. The aim of this systematic review was to identify the role of telehealth services in preventing, diagnosing, treating, and controlling diseases during COVID-19 outbreak. Methods This systematic review was conducted through searching five databases including PubMed, Scopus, Embase, Web of Science, and Science Direct. Inclusion criteria included studies clearly defining any use of telehealth services in all aspects of health care during COVID-19 outbreak, published from December 31, 2019, written in English language and published in peer reviewed journals. Two reviewers independently assessed search results, extracted data, and assessed the quality of the included studies. Quality assessment was based on the Critical Appraisal Skills Program (CASP) checklist. Narrative synthesis was undertaken to summarize and report the findings. Results Eight studies met the inclusion out of the 142 search results. Currently, healthcare providers and patients who are self-isolating, telehealth is certainly appropriate in minimizing the risk of COVID-19 transmission. This solution has the potential to prevent any sort of direct physical contact, provide continuous care to the community, and finally reduce morbidity and mortality in COVID-19 outbreak. Conclusions The use of telehealth improves the provision of health services. Therefore, telehealth should be an important tool in caring services while keeping patients and health providers safe during COVID-19 outbreak.
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              2019 American College of Rheumatology/Arthritis Foundation Guideline for the Management of Osteoarthritis of the Hand, Hip, and Knee

              To develop an evidence-based guideline for the comprehensive management of osteoarthritis (OA) as a collaboration between the American College of Rheumatology (ACR) and the Arthritis Foundation, updating the 2012 ACR recommendations for the management of hand, hip, and knee OA.
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                Author and article information

                Contributors
                hxkfhcq2015@126.com
                hxkfzsy@scu.edu.cn
                Journal
                Trials
                Trials
                Trials
                BioMed Central (London )
                1745-6215
                14 November 2023
                14 November 2023
                2023
                : 24
                : 729
                Affiliations
                [1 ]GRID grid.412901.f, ISNI 0000 0004 1770 1022, Department of Rehabilitation Medicine, , West China Hospital, Sichuan University, ; Chengdu, China
                [2 ]Department of Rehabilitation Medicine, West China Clinical Medical College, Sichuan University, ( https://ror.org/011ashp19) Chengdu, China
                [3 ]GRID grid.13291.38, ISNI 0000 0001 0807 1581, Department of Postgraduate Students, West China School of Medicine/West China Hospital, , Sichuan University, ; Chengdu, China
                [4 ]College of Marxism, Sichuan University, ( https://ror.org/011ashp19) Chengdu, China
                [5 ]GRID grid.412901.f, ISNI 0000 0004 1770 1022, Centre for Biostatistics, Design, Measurement and Evaluation (CBDME), , West China Hospital, Sichuan University, ; Chengdu, China
                [6 ]Rehabilitation Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, ( https://ror.org/011ashp19) Chengdu, China
                [7 ]Department of Computer Science and Technology, Tsinghua University, ( https://ror.org/03cve4549) No. 30, Shuangqing Road, Beijing, Haidian District China
                Author information
                http://orcid.org/0000-0002-5349-0571
                http://orcid.org/0000-0001-8213-7622
                Article
                7749
                10.1186/s13063-023-07749-4
                10647045
                37964273
                43f628bb-6ba2-444f-91c4-dadd516e9c28
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 29 July 2023
                : 25 October 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 81972146
                Award ID: 82272599
                Award ID: 82002393
                Award Recipient :
                Funded by: National Innovation and Entrepreneurship Training Project for Undergraduate
                Award ID: S202310610541
                Award Recipient :
                Funded by: Sichuan University Postgraduate Education Reform Project
                Award ID: GSSCU2021130
                Award ID: GSSCU2021038
                Award Recipient :
                Categories
                Study Protocol
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2023

                Medicine
                knee osteoarthritis,telemedicine,randomized controlled trials
                Medicine
                knee osteoarthritis, telemedicine, randomized controlled trials

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