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van Beek JJW, Lehnick D, Pastore-Wapp M, Wapp S, Kamm CP, Nef T, Vanbellingen T. Tablet app-based dexterity training in multiple sclerosis (TAD-MS): a randomized controlled trial. Disabil Rehabil Assist Technol 2024; 19:889-899. [PMID: 36308305 DOI: 10.1080/17483107.2022.2131915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 09/12/2022] [Accepted: 09/22/2022] [Indexed: 10/31/2022]
Abstract
PURPOSE Mobile health applications (mHealth apps) may lead to health benefits. In recent years, the use of apps in multiple sclerosis (MS) has increased. Apps to train and improve dexterity in MS are scarce. This study investigated the effectiveness of a tablet app-based home-based training to improve dexterity in individuals with MS. MATERIALS AND METHODS In a randomized controlled trial, two standardized 4-week home-based interventions focussing on different aspects of dexterity and upper limb function were compared. Assessments were done at baseline, post-intervention and 12-week follow-up. The primary endpoint was the Arm Function in Multiple Sclerosis Questionnaire, a dexterity-related measure of patient-reported activities of daily living. Secondary endpoints were dexterous function, grip strength and health-related quality of life. RESULTS Forty-eight individuals were randomly assigned to a tablet app-based program (n = 26) or a control strengthening exercise program (n = 22). No significant differences were found for the primary endpoint (p = 0.35). Some significant differences in favour of the app-group were found in fine coordinated finger movements and strength. No significant differences were found at the 12-week follow-up for all endpoints. Adherence in both groups was above 90%. CONCLUSIONS App-based training was not superior compared to a control strengthening exercise program concerning the arm- and hand function from the participant's perspective. However, app-based training was found to be effective in improving specific dimensions (finger movements and strength), and can easily be applied at home. Therefore, individuals living with MS with impaired dexterity should consider app-based training. CLINICAL TRIAL REGISTRATION Clinicaltrials.gov NCT03369470.
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Affiliation(s)
- Judith J W van Beek
- Neurocenter, Cantonal Hospital Lucerne, Lucerne, Switzerland
- Graduate School for Health Sciences, University of Bern, Bern, Switzerland
| | - Dirk Lehnick
- Department of Health Sciences and Medicine, University of Lucerne, Lucerne, Switzerland
| | - Manuela Pastore-Wapp
- Neurocenter, Cantonal Hospital Lucerne, Lucerne, Switzerland
- ARTORG Center for Biomedical Engineering Research, Gerontechnology & Rehabilitation Group, University of Bern, Bern, Switzerland
| | - Simona Wapp
- Neurocenter, Cantonal Hospital Lucerne, Lucerne, Switzerland
| | - Christian P Kamm
- Neurocenter, Cantonal Hospital Lucerne, Lucerne, Switzerland
- Department of Neurology, Inselspital, University Hospital Bern, Bern, Switzerland
| | - Tobias Nef
- ARTORG Center for Biomedical Engineering Research, Gerontechnology & Rehabilitation Group, University of Bern, Bern, Switzerland
| | - Tim Vanbellingen
- Neurocenter, Cantonal Hospital Lucerne, Lucerne, Switzerland
- ARTORG Center for Biomedical Engineering Research, Gerontechnology & Rehabilitation Group, University of Bern, Bern, Switzerland
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Scheibe S, Timpel P, Mäder M, Heinrich R, Kugler J, Schönfelder T. [The effectiveness of digital care applications in people with need of home care: A systematic review]. Pflege 2024. [PMID: 38411152 DOI: 10.1024/1012-5302/a000983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/28/2024]
Abstract
The effectiveness of digital care applications in people with need of home care: A systematic review Abstract: Background: The growing need for long-term care poses challenges for healthcare systems. In June 2021, digital care applications (DiPA) were introduced as a new service in the statutory long-term care insurance in Germany. Their aim is to counteract the increased care need and/or support independence in the home. Aim: This project systematically identified and reported on national and international evidence on DiPA effectiveness, as described by the Federal Institute for Drugs and Medical Devices (BfArM). Methods: The systematic review was conducted in accordance with the PRISMA statement by means of systematic searches in the databases Medline and Cinahl, and supplemented by an extensive manual search (08/2022). Study quality was assessed using the Risk of Bias Tool (RoB2). The results were synthesized narratively. Results: Eight randomized controlled studies were included; improvements in cognition, activities of daily living, and mobility in home care patients, were reported. Study quality was low to moderate, due to mostly unblinded study designs and low case numbers. Conclusions: The currently available evidence fails to provide a reliable basis for assessing the benefits of DiPA, to neither DiPA manufacturers, nor to responsible parties in the healthcare system. Further research on DiPA effectiveness, particularly with high-quality studies, are necessary to assess its potential in the German care sector.
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Affiliation(s)
- Sandy Scheibe
- WIG2 GmbH, Wissenschaftliches Institut für Gesundheitsökonomie und Gesundheitssystemforschung, Leipzig, Deutschland
- Lehrstuhl Gesundheitswissenschaften/Public Health, Technische Universität Dresden, Deutschland
| | - Patrick Timpel
- WIG2 GmbH, Wissenschaftliches Institut für Gesundheitsökonomie und Gesundheitssystemforschung, Leipzig, Deutschland
| | - Melanie Mäder
- WIG2 GmbH, Wissenschaftliches Institut für Gesundheitsökonomie und Gesundheitssystemforschung, Leipzig, Deutschland
- Lehrstuhl Health Economics and Management, Wirtschaftswissenschaftliche Fakultät, Universität Leipzig, Deutschland
| | - Ria Heinrich
- WIG2 GmbH, Wissenschaftliches Institut für Gesundheitsökonomie und Gesundheitssystemforschung, Leipzig, Deutschland
| | - Joachim Kugler
- Lehrstuhl Gesundheitswissenschaften/Public Health, Technische Universität Dresden, Deutschland
| | - Tonio Schönfelder
- WIG2 GmbH, Wissenschaftliches Institut für Gesundheitsökonomie und Gesundheitssystemforschung, Leipzig, Deutschland
- Lehrstuhl Gesundheitswissenschaften/Public Health, Technische Universität Dresden, Deutschland
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Vaagan A, Haaland-Øverby M, Eriksen AA, Fredriksen K, Stenov V, Varsi C, Ingadóttir B, Cleal BR, Alvheim AR, Westermann KF, Strømme H, Kristjansdottir OB. Group-based patient education via videoconference: A scoping review. PATIENT EDUCATION AND COUNSELING 2024; 118:108026. [PMID: 37939596 DOI: 10.1016/j.pec.2023.108026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 10/12/2023] [Accepted: 10/15/2023] [Indexed: 11/10/2023]
Abstract
OBJECTIVES To summarize recent evidence on the feasibility, acceptability, and effectiveness of videoconference (VC) group-based patient and caregiver education. METHODS Systematic searches of the literature were conducted. Data was extracted on the characteristics of the studies and interventions and on the feasibility, acceptability, and effectiveness of the interventions. RESULTS From 12,570 hits, 65 studies were eligible for inclusion. Their results confirmed previously identified tendencies of high feasibility and acceptability of VC group patient education, and improved health outcomes. However, evidence of effectiveness is limited, and the quality of studies is varied. Several patient and caregiver groups also remain under-researched. Only four studies stated that facilitators were trained in using VC-technology. CONCLUSION VC group-based patient and caregiver education is feasible and acceptable and may improve health outcomes for participant patients and caregivers. However future research should increase the number of high-quality randomized controlled trials to establish the effectiveness of VC group-based education for several groups of patients and caregivers. Studies of the training of facilitators is also warranted. PRACTICE IMPLICATIONS The results suggest that interventions should be more accessible. An overview of the recent evidence may also stimulate the development and evaluation of VC group-based patient and caregiver education.
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Affiliation(s)
- André Vaagan
- Norwegian National Advisory Unit on Learning and Mastery in Health, Postbox 4959 Nydalen, 0424 Oslo, Norway.
| | - Mette Haaland-Øverby
- Norwegian National Advisory Unit on Learning and Mastery in Health, Oslo University Hospital, Oslo, Norway; Department of Nursing and Health Promotion, Oslo Metropolitan University, Oslo, Norway
| | | | - Kari Fredriksen
- Learning and Mastery Center, Stavanger University Hospital, Stavanger, Norway
| | - Vibeke Stenov
- Health Promotion Research, Steno Diabetes Center Copenhagen, Copenhagen, Denmark
| | - Cecilie Varsi
- Faculty of Health and Social Sciences, University of South-Eastern Norway, Drammen, Norway,; Department of Digital Health Research, Division of Medicine, Oslo University Hospital, Oslo, Norway
| | - Brynja Ingadóttir
- Faculty of Nursing and Midwifery, University of Iceland, Reykjavik, Iceland
| | - Bryan Richard Cleal
- Health Promotion Research, Steno Diabetes Center Copenhagen, Copenhagen, Denmark
| | - Anita Røyneberg Alvheim
- Norwegian National Advisory Unit on Learning and Mastery in Health, Oslo University Hospital, Oslo, Norway
| | - Karl Fredrik Westermann
- Norwegian National Advisory Unit on Learning and Mastery in Health, Oslo University Hospital, Oslo, Norway
| | - Hilde Strømme
- Library of Medicine and Science, University of Oslo, Oslo, Norway
| | - Olöf Birna Kristjansdottir
- Norwegian National Advisory Unit on Learning and Mastery in Health, Oslo University Hospital, Oslo, Norway; Mental health team West, Primary care of the capital area, Reykjavik, Iceland
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Pinarello C, Elmers J, Inojosa H, Beste C, Ziemssen T. Management of multiple sclerosis fatigue in the digital age: from assessment to treatment. Front Neurosci 2023; 17:1231321. [PMID: 37869507 PMCID: PMC10585158 DOI: 10.3389/fnins.2023.1231321] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 09/18/2023] [Indexed: 10/24/2023] Open
Abstract
Fatigue is one of the most disabling symptoms of Multiple Sclerosis (MS), affecting more than 80% of patients over the disease course. Nevertheless, it has a multi-faceted and complex nature, making its diagnosis, evaluation, and treatment extremely challenging in clinical practice. In the last years, digital supporting tools have emerged to support the care of people with MS. These include not only smartphone or table-based apps, but also wearable devices or novel techniques such as virtual reality. Furthermore, an additional effective and cost-efficient tool for the therapeutic management of people with fatigue is becoming increasingly available. Virtual reality and e-Health are viable and modern tools to both assess and treat fatigue, with a variety of applications and adaptability to patient needs and disability levels. Most importantly, they can be employed in the patient's home setting and can not only bridge clinic visits but also be complementary to the monitoring and treatment means for those MS patients who live far away from healthcare structures. In this narrative review, we discuss the current knowledge and future perspectives in the digital management of fatigue in MS. These may also serve as sources for research of novel digital biomarkers in the identification of disease activity and progression.
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Affiliation(s)
- Chiara Pinarello
- Center of Clinical Neuroscience, Department of Neurology, University Hospital Carl Gustav Carus, Technical University of Dresden, Dresden, Germany
| | - Julia Elmers
- Center of Clinical Neuroscience, Department of Neurology, University Hospital Carl Gustav Carus, Technical University of Dresden, Dresden, Germany
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, Technical University of Dresden, Dresden, Germany
| | - Hernán Inojosa
- Center of Clinical Neuroscience, Department of Neurology, University Hospital Carl Gustav Carus, Technical University of Dresden, Dresden, Germany
| | - Christian Beste
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, Technical University of Dresden, Dresden, Germany
| | - Tjalf Ziemssen
- Center of Clinical Neuroscience, Department of Neurology, University Hospital Carl Gustav Carus, Technical University of Dresden, Dresden, Germany
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Titcomb TJ, Sherwood M, Ehlinger M, Saxby SM, Shemirani F, Eyck PT, Wahls TL, Snetselaar LG. Evaluation of a web-based program for the adoption of wellness behaviors to self-manage fatigue and improve quality of life among people with multiple sclerosis: A randomized waitlist-control trial. Mult Scler Relat Disord 2023; 77:104858. [PMID: 37399671 PMCID: PMC11071624 DOI: 10.1016/j.msard.2023.104858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 05/22/2023] [Accepted: 06/24/2023] [Indexed: 07/05/2023]
Abstract
BACKGROUND Wellness is a promising area of research in multiple sclerosis (MS); however, considerable questions remain regarding the efficacy of behavioral interventions to improve wellness and which delivery methods yield favorable results. OBJECTIVE To evaluate the efficacy of a wellness intervention consisting of diet, stress reduction techniques, sleep hygiene, and exercise, delivered via a 7-week web-based program with no tailored intervention support (e.g., counseling or resources) from the study team, on quality of life (QoL) and fatigue among people with MS. METHODS Individuals (n = 100) with self-reported physician's diagnosis of relapsing-remitting MS or clinically isolated syndrome were recruited to enroll in this randomized waitlist-control trial consisting of three timepoints at 0, 12, and 24 weeks. Participants were randomized to begin the intervention at baseline (INT; n = 51) or to a waitlist to begin the intervention after the 12-week timepoint (WLC; n = 49), and both groups were followed for 24 weeks. RESULTS At 12-weeks, 95 participants (46 INT and 49 WLC) completed the primary endpoint and 86 (42 INT and 44 WLC) completed the 24-week follow-up. Compared to baseline, the INT group had a significant increase in physical QoL (5.43 ± 1.85; P = 0.003) at 12-weeks which was maintained at 24-weeks. Physical QoL values in the WLC group did not significantly increase between weeks 12 and 24 (3.24 ± 2.03; P = 0.11); however, physical QoL values significantly improved compared to week 0 values (4.00 ± 1.87; P = 0.033). Neither group had significant changes in mental QoL. The INT group had a mean baseline to 12-week change of ‑5.06 ± 1.79 (P = 0.005) for MFIS and -0.68 ± 0.21 (P = 0.002) for FSS, both of which were maintained at 24-weeks. The 12- to 24-week changes for the WLC group were -4.50 ± 1.81 (P = 0.013) for MFIS and -0.44 ± 0.17 (P = 0.011) for FSS. At 12-weeks, the INT group had significantly greater reductions in fatigue compared to the WLC (P = 0.009 for both MFIS and FSS). There were no between-group mean differences for physical or mental QoL, but a significantly higher proportion of participants had clinically significant improvement in physical QoL in the INT group (50%) compared to the WLC group (22.5%) at 12-weeks (P = 0.006). The 12-week intervention effect was similar during the active intervention phase (i.e., baseline to 12 weeks for INT and 12 to 24 weeks for WLC) in each group. Course completion rates significantly differed between groups with 47.9% of the INT group and 18.8% of the WLC group completing the course (P = 0.01). CONCLUSION A wellness intervention delivered via a web-based program, without tailored support, resulted in significant improvements in fatigue compared to control. TRIAL REGISTRATION Clinicaltrials.gov Identifier: NCT05057676.
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Affiliation(s)
- Tyler J Titcomb
- Department of Internal Medicine, University of Iowa, Iowa City, IA, USA; Department of Epidemiology, University of Iowa, Iowa City, IA, USA.
| | - Max Sherwood
- Department of Internal Medicine, University of Iowa, Iowa City, IA, USA
| | - Mary Ehlinger
- Department of Internal Medicine, University of Iowa, Iowa City, IA, USA
| | - Solange M Saxby
- Department of Internal Medicine, University of Iowa, Iowa City, IA, USA
| | | | - Patrick Ten Eyck
- Institute for Clinical and Translational Science, University of Iowa, Iowa City, IA, USA
| | - Terry L Wahls
- Department of Internal Medicine, University of Iowa, Iowa City, IA, USA.
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Guan V, Zhou C, Wan H, Zhou R, Zhang D, Zhang S, Yang W, Voutharoja BP, Wang L, Win KT, Wang P. A Novel Mobile App for Personalized Dietary Advice Leveraging Persuasive Technology, Computer Vision, and Cloud Computing: Development and Usability Study. JMIR Form Res 2023; 7:e46839. [PMID: 37549000 PMCID: PMC10442736 DOI: 10.2196/46839] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 04/23/2023] [Accepted: 05/10/2023] [Indexed: 08/08/2023] Open
Abstract
BACKGROUND The Australian Dietary Guidelines (ADG) translate the best available evidence in nutrition into food choice recommendations. However, adherence to the ADG is poor in Australia. Given that following a healthy diet can be a potentially cost-effective strategy for lowering the risk of chronic diseases, there is an urgent need to develop novel technologies for individuals to improve their adherence to the ADG. OBJECTIVE This study describes the development process and design of a prototype mobile app for personalized dietary advice based on the ADG for adults in Australia, with the aim of exploring the usability of the prototype. The goal of the prototype was to provide personalized, evidence-based support for self-managing food choices in real time. METHODS The guidelines of the design science paradigm were applied to guide the design, development, and evaluation of a progressive web app using Amazon Web Services Elastic Compute Cloud services via iterations. The food layer of the Nutrition Care Process, the strategies of cognitive behavioral theory, and the ADG were translated into prototype features guided by the Persuasive Systems Design model. A gain-framed approach was adopted to promote positive behavior changes. A cross-modal image-to-recipe retrieval model under an Apache 2.0 license was deployed for dietary assessment. A survey using the Mobile Application Rating Scale and semistructured in-depth interviews were conducted to explore the usability of the prototype through convenience sampling (N=15). RESULTS The prominent features of the prototype included the use of image-based dietary assessment, food choice tracking with immediate feedback leveraging gamification principles, personal goal setting for food choices, and the provision of recipe ideas and information on the ADG. The overall prototype quality score was "acceptable," with a median of 3.46 (IQR 2.78-3.81) out of 5 points. The median score of the perceived impact of the prototype on healthy eating based on the ADG was 3.83 (IQR 2.75-4.08) out of 5 points. In-depth interviews identified the use of gamification for tracking food choices and innovation in the image-based dietary assessment as the main drivers of the positive user experience of using the prototype. CONCLUSIONS A novel evidence-based prototype mobile app was successfully developed by leveraging a cross-disciplinary collaboration. A detailed description of the development process and design of the prototype enhances its transparency and provides detailed insights into its creation. This study provides a valuable example of the development of a novel, evidence-based app for personalized dietary advice on food choices using recent advancements in computer vision. A revised version of this prototype is currently under development.
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Affiliation(s)
- Vivienne Guan
- School of Medical, Indigenous and Health Sciences, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, New South Wales, Australia
| | - Chenghuai Zhou
- School of Computing and Information Technology, Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, New South Wales, Australia
| | - Hengyi Wan
- School of Computing and Information Technology, Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, New South Wales, Australia
| | - Rengui Zhou
- School of Computing and Information Technology, Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, New South Wales, Australia
| | - Dongfa Zhang
- School of Computing and Information Technology, Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, New South Wales, Australia
| | - Sihan Zhang
- School of Computing and Information Technology, Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, New South Wales, Australia
| | - Wangli Yang
- School of Computing and Information Technology, Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, New South Wales, Australia
| | - Bhanu Prakash Voutharoja
- School of Computing and Information Technology, Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, New South Wales, Australia
| | - Lei Wang
- School of Computing and Information Technology, Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, New South Wales, Australia
| | - Khin Than Win
- School of Computing and Information Technology, Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, New South Wales, Australia
| | - Peng Wang
- School of Computing and Information Technology, Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, New South Wales, Australia
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Reece JC, Yu M, Bevens W, Simpson-Yap S, Jelinek G, Jelinek P, Davenport R, Nag N, Gray K, Neate S. Study protocol for an online lifestyle modification education course for people living with multiple sclerosis: the multiple sclerosis online course (MSOC). BMC Neurol 2023; 23:249. [PMID: 37386385 DOI: 10.1186/s12883-023-03298-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 06/20/2023] [Indexed: 07/01/2023] Open
Abstract
BACKGROUND People living with multiple sclerosis (plwMS) seek access to information on evidence-based lifestyle-related risk factors associated with multiple sclerosis (MS). As the internet has made delivery of lifestyle information increasingly accessible and cost-effective, we designed the Multiple Sclerosis Online Course (MSOC) to deliver a multimodal lifestyle modification program for plwMS. Two MS online courses were developed: the intervention course based on lifestyle recommendations of the Overcoming Multiple Sclerosis (OMS) program and the standard-care course representing standard lifestyle recommendations from other MS websites. We examined for feasibility in a pilot randomised controlled trial (RCT), where satisfactory completion and accessibility were achieved across both study arms. From this success, a protocol for a larger RCT was developed to examine the effectiveness of MSOC in improving health-related quality of life (HRQoL) and other health outcomes in plwMS. METHODS/DESIGN This single-blinded RCT will recruit n = 1,054 plwMS. Participants in the intervention arm will receive access to a MSOC with seven modules providing evidence-based information on the OMS program. Participants in the control group will receive access to a MSOC of identical format, with seven modules providing general MS-related information and lifestyle recommendations sourced from popular MS websites, e.g. MS societies. Participants will complete questionnaires at baseline and at 6, 12, and 30 months after course completion. The primary endpoint is HRQoL, as measured by MSQOL-54 (both physical and mental health domains) at 12 months following course completion. Secondary outcomes are changes to depression, anxiety, fatigue, disability, and self-efficacy as measured by Hospital Anxiety and Depression Scale, Patient-Determined Disease Steps and University of Washington Self-Efficacy Scale, respectively, assessed at each timepoint. Further assessments will include quantitative post-course evaluation, adoption and maintenance of behaviour change from follow-up survey data, and qualitative analysis of participants' outcomes and reasons for course completion or non-completion. DISCUSSION This RCT aims to determine whether an online intervention course delivering evidence-based lifestyle modification recommendations based on the Overcoming Multiple Sclerosis program to plwMS is more effective at improving HRQoL, and other health outcomes post-intervention, compared with an online standard-care course. TRIAL REGISTRATION This trial was registered prospectively with the Australian New Zealand Clinical Trials Registry, www.anzctr.org.au , identifier ACTRN12621001605886. DATE OF REGISTRATION 25 November 2021.
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Affiliation(s)
- Jeanette C Reece
- Neuroepidemiology Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population & Global Health, The University of Melbourne, Level 3, 207 Bouverie St Carlton, Melbourne, VIC, 3053, Australia
| | - Maggie Yu
- Neuroepidemiology Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population & Global Health, The University of Melbourne, Level 3, 207 Bouverie St Carlton, Melbourne, VIC, 3053, Australia
| | - William Bevens
- Neuroepidemiology Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population & Global Health, The University of Melbourne, Level 3, 207 Bouverie St Carlton, Melbourne, VIC, 3053, Australia
| | - Steve Simpson-Yap
- Neuroepidemiology Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population & Global Health, The University of Melbourne, Level 3, 207 Bouverie St Carlton, Melbourne, VIC, 3053, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - George Jelinek
- Neuroepidemiology Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population & Global Health, The University of Melbourne, Level 3, 207 Bouverie St Carlton, Melbourne, VIC, 3053, Australia
| | - Pia Jelinek
- Neuroepidemiology Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population & Global Health, The University of Melbourne, Level 3, 207 Bouverie St Carlton, Melbourne, VIC, 3053, Australia
| | - Rebekah Davenport
- Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia
| | - Nupur Nag
- Neuroepidemiology Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population & Global Health, The University of Melbourne, Level 3, 207 Bouverie St Carlton, Melbourne, VIC, 3053, Australia
| | - Kathleen Gray
- Centre for Digital Transformation of Health, The University of Melbourne, Melbourne, Australia
| | - Sandra Neate
- Neuroepidemiology Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population & Global Health, The University of Melbourne, Level 3, 207 Bouverie St Carlton, Melbourne, VIC, 3053, Australia.
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8
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Parra AG, Gonzalez-Medina G, Perez-Cabezas V, Casuso-Holgado MJ, Vinolo-Gil MJ, García-Muñoz C. Dropout Rate of Participants in Randomized Clinical Trials That Use Virtual Reality to Train Balance and Gait in Parkinson's Disease. A Systematic Review With Meta-analysis and Meta-regression. J Med Syst 2023; 47:46. [PMID: 37010723 DOI: 10.1007/s10916-023-01930-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Accepted: 02/27/2023] [Indexed: 04/04/2023]
Abstract
Virtual reality is an effective system to train balance and gait in Parkinson's disease, but attrition of this intervention needs to be further examined. This study aims to review and meta-analyze the dropouts of participants in randomized clinical trials that used virtual reality for balance and gait training in people with Parkinson's disease. An electronic search was conducted in PubMed, Web of Science, Scopus and CINAHL. The PEDro scale and Revised Cochrane risk-of-bias tool for randomized trials 2.0 were employed to assess methodological quality. Proportions meta-analysis calculated dropout rate. Odds ratio meta-analysis under 1 indicated lower attrition in experimental participants. Meta-regression identified possible dropouts' moderators. A total of 18 studies were included. The pooled dropout rates were 5.6% (95% CI, 3.3%-9.3%) for all groups, 5.33% (95% CI, 3.03%-9.21%) in virtual reality, and 6.60% (95% CI, 3.84%-26.31%) in comparators. No statistical differences were found in the dropout occurred between the groups (OR 0.83; 95% CI, 0.62-1.12). Number of weeks was the unique moderator (coefficient 0.129, 95% CI 0.018- 0.239; p=0.02). Our overall pooled dropout should be considered in the sample size calculation of future studies. Adequate follow-up of the CONSORT guidelines in the loss report and their reasons could help design suitable retention strategies.
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Affiliation(s)
| | | | | | - María Jesús Casuso-Holgado
- Department of Physiotherapy, University of Seville, Sevilla, Spain
- Uncertainty, Mindfulness, Self, Spirituality (UMSS) Research Group, Sevilla, Spain
| | | | - Cristina García-Muñoz
- Department of Nursing and Physiotherapy, University of Cadiz, Cadiz, Spain
- Uncertainty, Mindfulness, Self, Spirituality (UMSS) Research Group, Sevilla, Spain
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9
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Howard Z, Win KT, Guan V. Mobile apps used for people living with multiple sclerosis: A scoping review. Mult Scler Relat Disord 2023; 73:104628. [PMID: 37003008 DOI: 10.1016/j.msard.2023.104628] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 03/17/2023] [Accepted: 03/18/2023] [Indexed: 04/03/2023]
Abstract
BACKGROUND Multiple Sclerosis (MS) is a chronic neurodegenerative disorder. People living with MS (plwMS) require long-term, multidisciplinary care in both clinical and community settings. MS-specific mHealth interventions have advanced in the form of clinical treatments, rehabilitation, disease monitoring and self-management of disease. However, mHealth interventions for plwMS appear to have limited proof of clinical efficacy. As native mobile apps target specific mobile operating systems, they tend to have better interactive designs leveraging platform-specific guidelines. Thus, to improve such efficacy, it is pivotal to explore the design characteristics of native mobile apps used for plwMS. OBJECTIVES This study aimed to explore the design characteristics of native mobile apps used for adults living with MS in academic settings. METHODS A scoping review of studies was conducted. A literature search was performed through PubMed, CINAHL, MEDLINE and Cochrane Library. Per native mobile apps, characteristics, persuasive technology elements and evaluations were summarized. RESULTS A total of 14 native mobile apps were identified and 43% of the identified apps were used for data collection (n=6). Approximately 70% of the included apps involved users (plwMS) whilst developing (n=10). A total of three apps utilized embedded sensors. Videos or photos were used for physical activity interventions (n=2) and gamification principles were applied for cognitive and/or motor rehabilitation interventions (n=3). Behavior change theories were integrated into the design of the apps for fatigue management and physical activity. Regarding persuasive technology, the design principles of primary support were applied across all identified apps. The elements of dialogue support and social support were the least applied. The methods for evaluating the identified apps were varied. CONCLUSION The findings suggest that the identified apps were in the early stages of development and had a user-centered design. By applying the persuasive systems design model, interaction design qualities and features of the identified mobile apps in academic settings were systematically evaluated at a deeper level. Identifying the digital functionality and interface design of mobile apps for plwMS will help researchers to better understand interactive design and how to incorporate these concepts in mHealth interventions for improvement of clinical efficacy.
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Affiliation(s)
- Zahli Howard
- School of Indigenous, Medical and Health Sciences, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, New South Wales, Australia
| | - Khin Than Win
- School of Computing and Information Technology, Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, New South Wales, Australia
| | - Vivienne Guan
- School of Indigenous, Medical and Health Sciences, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, New South Wales, Australia; Illawarra Health and Medical Research Institute, Wollongong, New South Wales, Australia.
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10
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Sieber C, Haag C, Polhemus A, Sylvester R, Kool J, Gonzenbach R, von Wyl V. Feasibility and scalability of a fitness tracker study: Results from a longitudinal analysis of persons with multiple sclerosis. Front Digit Health 2023; 5:1006932. [PMID: 36926468 PMCID: PMC10012422 DOI: 10.3389/fdgth.2023.1006932] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 02/06/2023] [Indexed: 03/08/2023] Open
Abstract
Background Consumer-grade fitness trackers offer exciting opportunities to study persons with chronic diseases in greater detail and in their daily-life environment. However, attempts to bring fitness tracker measurement campaigns from tightly controlled clinical environments to home settings are often challenged by deteriorating study compliance or by organizational and resource limitations. Objectives By revisiting the study design and patient-reported experiences of a partly remote study with fitness trackers (BarKA-MS study), we aimed to qualitatively explore the relationship between overall study compliance and scalability. On that account, we aimed to derive lessons learned on strengths, weaknesses, and technical challenges for the conduct of future studies. Methods The two-phased BarKA-MS study employed Fitbit Inspire HR and electronic surveys to monitor physical activity in 45 people with multiple sclerosis in a rehabilitation setting and in their natural surroundings at home for up to 8 weeks. We examined and quantified the recruitment and compliance in terms of questionnaire completion and device wear time. Furthermore, we qualitatively evaluated experiences with devices according to participants' survey-collected reports. Finally, we reviewed the BarKA-MS study conduct characteristics for its scalability according to the Intervention Scalability Assessment Tool checklist. Results Weekly electronic surveys completion reached 96%. On average, the Fitbit data revealed 99% and 97% valid wear days at the rehabilitation clinic and in the home setting, respectively. Positive experiences with the device were predominant: only 17% of the feedbacks had a negative connotation, mostly pertaining to perceived measurement inaccuracies. Twenty-five major topics and study characteristics relating to compliance were identified. They broadly fell into the three categories: "effectiveness of support measures", "recruitment and compliance barriers", and "technical challenges". The scalability assessment revealed that the highly individualized support measures, which contributed greatly to the high study compliance, may face substantial scalability challenges due to the strong human involvement and limited potential for standardization. Conclusion The personal interactions and highly individualized participant support positively influenced study compliance and retention. But the major human involvement in these support actions will pose scalability challenges due to resource limitations. Study conductors should anticipate this potential compliance-scalability trade-off already in the design phase.
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Affiliation(s)
- Chloé Sieber
- Institute for Implementation Science in Health Care, Faculty of Medicine, University of Zürich, Zürich, Switzerland.,Epidemiology and Biostatistics and Prevention Institute, Faculty of Medicine, University of Zürich, Zürich, Switzerland
| | - Christina Haag
- Institute for Implementation Science in Health Care, Faculty of Medicine, University of Zürich, Zürich, Switzerland.,Epidemiology and Biostatistics and Prevention Institute, Faculty of Medicine, University of Zürich, Zürich, Switzerland
| | - Ashley Polhemus
- Epidemiology and Biostatistics and Prevention Institute, Faculty of Medicine, University of Zürich, Zürich, Switzerland
| | - Ramona Sylvester
- Research Department Physiotherapy, Rehabilitation Centre, Valens, Switzerland
| | - Jan Kool
- Research Department Physiotherapy, Rehabilitation Centre, Valens, Switzerland
| | - Roman Gonzenbach
- Research Department Physiotherapy, Rehabilitation Centre, Valens, Switzerland
| | - Viktor von Wyl
- Institute for Implementation Science in Health Care, Faculty of Medicine, University of Zürich, Zürich, Switzerland.,Epidemiology and Biostatistics and Prevention Institute, Faculty of Medicine, University of Zürich, Zürich, Switzerland
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11
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Eysenbach G, García-Muñoz C, Ortiz-Álvarez J, Saigí-Rubió F, Conejo-Mir J, Pereyra-Rodriguez JJ. Dropout Rate in Digital Health Interventions for the Prevention of Skin Cancer: Systematic Review, Meta-analysis, and Metaregression. J Med Internet Res 2022; 24:e42397. [PMID: 36485027 PMCID: PMC9789500 DOI: 10.2196/42397] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Revised: 11/10/2022] [Accepted: 11/28/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Digital strategies are innovative approaches to the prevention of skin cancer, but the attrition following this kind of intervention needs to be analyzed. OBJECTIVE The aim of this paper is to assess the dropouts from studies focused on digital strategies for the prevention of skin cancer. METHODS We conducted this systematic review with meta-analyses and metaregression according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statements. Search terms for skin cancer, digital strategies, and prevention were combined to search PubMed, Scopus, Web of Science, CINAHL, and Cochrane Library from inception until July 2022. Randomized clinical trials that reported dropouts of participants and compared digital strategies with other interventions to prevent skin cancer in healthy or disease-free participants were included. Two independent reviewers extracted data for analysis. The Revised Cochrane Collaboration Bias tool was employed. We calculated the pooled dropout rate of participants through a meta-analysis of proportions and examined whether dropout was more or less frequent in digital interventions against comparators via an odds ratio (OR) meta-analysis. Data were pooled using a random-effects model. Subgroup meta-analyses were conducted in a meta-analysis of proportions and OR meta-analysis to assess the dropout events when data were sorted by digital interventions or control comparator. A univariate metaregression based on a random-effects model assessed possible moderators of dropout. Participants' dropout rates as pooled proportions were calculated for all groups combined, and the digital and comparator groups separately. OR>1 indicated higher dropouts for digital-based interventions. Metaregressions were performed for age, sex, length of intervention, and sample size. RESULTS A total of 17 studies were included. The overall pooled dropout rate was 9.5% (95% CI 5.0-17.5). The subgroup meta-analysis of proportions revealed a dropout rate of 11.6% for digital strategies (95% CI 6.8-19.0) and 10.0% for comparators (95% CI 5.5-17.7). A trend of higher dropout rates for digital strategies was observed in the overall (OR 1.16, 95% CI 0.98-1.36) and subgroup OR meta-analysis, but no significant differences were found between the groups. None of the covariates moderated the effect size in the univariate metaregression. CONCLUSIONS Digital strategies had a higher dropout rate compared to other prevention interventions, but the difference was not significant. Standardization is needed regarding reporting the number of and reasons for dropouts. TRIAL REGISTRATION International Prospective Register of Systematic Reviews (PROSPERO) CRD42022329669; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=329669.
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Affiliation(s)
| | | | - Juan Ortiz-Álvarez
- Department of Dermatology, Virgen del Rocío University Hospital, Seville, Spain
| | | | - Julián Conejo-Mir
- Department of Dermatology, Virgen del Rocío University Hospital, Seville, Spain.,Department of Medicine, University of Seville, Seville, Spain
| | - Jose-Juan Pereyra-Rodriguez
- Department of Dermatology, Virgen del Rocío University Hospital, Seville, Spain.,Department of Medicine, University of Seville, Seville, Spain
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Casuso-Holgado MJ, García-Muñoz C, Martín-Valero R, Lucena-Anton D, Moral-Munoz JA, Cortés-Vega MD. Dropout rate in randomised controlled trials of balance and gait rehabilitation in multiple sclerosis: is it expected to be different for virtual reality-based interventions? A systematic review with meta-analysis and meta-regression. VIRTUAL REALITY 2022; 27:1-17. [PMID: 36533191 PMCID: PMC9735030 DOI: 10.1007/s10055-022-00733-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 11/29/2022] [Indexed: 05/27/2023]
Abstract
To assess and meta-analyse the pooled dropout rate from the randomised control trilas that use virtual reality for balance or gait rehabilitation in people with multiple sclerosis. A systematic review of randomised control trials with meta-analysis and meta-regressions was performed. A search was conducted in PubMed, Scopus, Web of Science, the Physiotherapy Evidence Database, the Cochrane Database, CINHAL, LILACS, ScienceDirect, and ProQuest. It was last updated in July 2022. After the selection of studies, a quality appraisal was carried out using the PEDro Scale and the Revised Cochrane risk-of-bias tool for randomised trials. A descriptive analysis of main characteristics and dropout information was performed. An overall proportion meta-analysis calculated the pooled dropout rate. Odds ratio meta-analysis compared the dropout likelihood between interventions. The meta-regression evaluated the influence of moderators related to dropout. Sixteen studies with 656 participants were included. The overall pooled dropout rate was 6.6% and 5.7% for virtual reality and 9.7% in control groups. The odds ratio (0.89, p = 0.46) indicated no differences in the probability of dropouts between the interventions. The number, duration, frequency, and weeks of sessions, intervention, sex, multiple sclerosis phenotype, Expanded Disability Status Scale score, and PEDro score were not moderators (p > 0.05). Adverse events were not reported and could not be analysed as moderators. Dropouts across the virtual reality and control comparators were similar without significant differences. Nonetheless, there is a slight trend that could favour virtual reality. Standardisation in reporting dropouts and adverse events is recommended for future trials. PROSPERO database, registration number ID CRD42021284989. Supplementary Information The online version contains supplementary material available at 10.1007/s10055-022-00733-4.
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Affiliation(s)
- María Jesús Casuso-Holgado
- Department of Physiotherapy, University of Seville, Seville, Spain
- UMSS Research Group, Universidad of Seville, Seville, Spain
| | - Cristina García-Muñoz
- Department of Nursing and Physiotherapy, University of Cadiz, Cadiz, Spain
- UMSS Research Group, Universidad of Seville, Seville, Spain
| | | | - David Lucena-Anton
- Department of Nursing and Physiotherapy, University of Cadiz, Cadiz, Spain
| | - Jose A. Moral-Munoz
- Department of Nursing and Physiotherapy, University of Cadiz, Cadiz, Spain
- Institute of Research and Innovation in Biomedical Sciences of the Province of Cadiz (INiBICA), University of Cadiz, Cadiz, Spain
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