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      DANCE Rehabilitation EXperience (DANCEREX-DTx): Protocol for a randomized controlled trial on effectiveness of digital therapeutics in chronic neurological disabilities

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          Abstract

          Objective

          Rehabilitation is an important player in preventing and reducing the high impact of disability on everyday functioning in chronic neurological diseases (CNDs), especially if timely, intensive, and multidimensional. However, to date, rehabilitation is often a service accessible only to a few people, and the issue of a progressive decrease in treatment adherence still remains to be addressed. This study protocol describes an RCT whose aim is to test the effectiveness in terms of adherence of DANCE Rehabilitation EXperience (DANCEREX-DTx), a new digital therapeutic solution which combines a holistic, multidimensional program based on dance and music with an innovative motivational system.

          Methods

          The randomized, single-blind, controlled trial will involve 192 patients with CNDs from three rehabilitation centers in Italy. Participants will be randomized (with an allocation ratio of 2:2:1) into three interventions: (1) DANCEREX treatment, (2) multidimensional dance-based program, and (3) educational program. Groups will be assessed at the baseline (T0), after intervention (T1—after 12 weeks), and after six months from enrollment (T2). The primary outcome will be treatment adherence in terms of the number of drop-outs and the percentage of attended sessions on the total prescribed. Moreover, a multifaceted evaluation, including quality of life and clinical/functional measures, will be conducted at each time-point. Surrogate measures (neuroimaging and neurobiological) will be collected at T0 and T1. Finally, usability and acceptability will be assessed at T1.

          Results

          We expect the validation, in terms of usability, acceptability, and effectiveness of DANCEREX-DTx as an innovative rehabilitation program able to respond in a sustainable way to the great need for rehabilitation of people with CNDs.

          Conclusion

          With DANCEREX-DTx, we aspire to change the hospital-centered paradigm of rehabilitation care to bring it to the patients' homes, making them active in their treatment path and promoting motivation and adherence to treatment from the initial stages of the disease.

          Trial registration: The trial was registered in the clinicaltrials.gov database (identifier NCT06112639) on 2023-11-01.

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          G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences

          G*Power (Erdfelder, Faul, & Buchner, 1996) was designed as a general stand-alone power analysis program for statistical tests commonly used in social and behavioral research. G*Power 3 is a major extension of, and improvement over, the previous versions. It runs on widely used computer platforms (i.e., Windows XP, Windows Vista, and Mac OS X 10.4) and covers many different statistical tests of the t, F, and chi2 test families. In addition, it includes power analyses for z tests and some exact tests. G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested. Like its predecessors, G*Power 3 is free.
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            Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

            Summary Background In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends by cause at the national level is essential. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic scientific assessment of published, publicly available, and contributed data on incidence, prevalence, and mortality for a mutually exclusive and collectively exhaustive list of diseases and injuries. Methods GBD estimates incidence, prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) due to 369 diseases and injuries, for two sexes, and for 204 countries and territories. Input data were extracted from censuses, household surveys, civil registration and vital statistics, disease registries, health service use, air pollution monitors, satellite imaging, disease notifications, and other sources. Cause-specific death rates and cause fractions were calculated using the Cause of Death Ensemble model and spatiotemporal Gaussian process regression. Cause-specific deaths were adjusted to match the total all-cause deaths calculated as part of the GBD population, fertility, and mortality estimates. Deaths were multiplied by standard life expectancy at each age to calculate YLLs. A Bayesian meta-regression modelling tool, DisMod-MR 2.1, was used to ensure consistency between incidence, prevalence, remission, excess mortality, and cause-specific mortality for most causes. Prevalence estimates were multiplied by disability weights for mutually exclusive sequelae of diseases and injuries to calculate YLDs. We considered results in the context of the Socio-demographic Index (SDI), a composite indicator of income per capita, years of schooling, and fertility rate in females younger than 25 years. Uncertainty intervals (UIs) were generated for every metric using the 25th and 975th ordered 1000 draw values of the posterior distribution. Findings Global health has steadily improved over the past 30 years as measured by age-standardised DALY rates. After taking into account population growth and ageing, the absolute number of DALYs has remained stable. Since 2010, the pace of decline in global age-standardised DALY rates has accelerated in age groups younger than 50 years compared with the 1990–2010 time period, with the greatest annualised rate of decline occurring in the 0–9-year age group. Six infectious diseases were among the top ten causes of DALYs in children younger than 10 years in 2019: lower respiratory infections (ranked second), diarrhoeal diseases (third), malaria (fifth), meningitis (sixth), whooping cough (ninth), and sexually transmitted infections (which, in this age group, is fully accounted for by congenital syphilis; ranked tenth). In adolescents aged 10–24 years, three injury causes were among the top causes of DALYs: road injuries (ranked first), self-harm (third), and interpersonal violence (fifth). Five of the causes that were in the top ten for ages 10–24 years were also in the top ten in the 25–49-year age group: road injuries (ranked first), HIV/AIDS (second), low back pain (fourth), headache disorders (fifth), and depressive disorders (sixth). In 2019, ischaemic heart disease and stroke were the top-ranked causes of DALYs in both the 50–74-year and 75-years-and-older age groups. Since 1990, there has been a marked shift towards a greater proportion of burden due to YLDs from non-communicable diseases and injuries. In 2019, there were 11 countries where non-communicable disease and injury YLDs constituted more than half of all disease burden. Decreases in age-standardised DALY rates have accelerated over the past decade in countries at the lower end of the SDI range, while improvements have started to stagnate or even reverse in countries with higher SDI. Interpretation As disability becomes an increasingly large component of disease burden and a larger component of health expenditure, greater research and development investment is needed to identify new, more effective intervention strategies. With a rapidly ageing global population, the demands on health services to deal with disabling outcomes, which increase with age, will require policy makers to anticipate these changes. The mix of universal and more geographically specific influences on health reinforces the need for regular reporting on population health in detail and by underlying cause to help decision makers to identify success stories of disease control to emulate, as well as opportunities to improve. Funding Bill & Melinda Gates Foundation.
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              Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses.

              G*Power is a free power analysis program for a variety of statistical tests. We present extensions and improvements of the version introduced by Faul, Erdfelder, Lang, and Buchner (2007) in the domain of correlation and regression analyses. In the new version, we have added procedures to analyze the power of tests based on (1) single-sample tetrachoric correlations, (2) comparisons of dependent correlations, (3) bivariate linear regression, (4) multiple linear regression based on the random predictor model, (5) logistic regression, and (6) Poisson regression. We describe these new features and provide a brief introduction to their scope and handling.
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                Author and article information

                Journal
                Digit Health
                Digit Health
                DHJ
                spdhj
                Digital Health
                SAGE Publications (Sage UK: London, England )
                2055-2076
                25 March 2025
                Jan-Dec 2025
                : 11
                : 20552076251324448
                Affiliations
                [1 ]Ringgold 9360, universityIRCCS Fondazione Don Carlo Gnocchi ONLUS; , Milan, Italy
                [2 ]Department of Human Sciences for Education, Ringgold 9305, universityUniversità degli Studi di Milano-Bicocca; , Milan, Italy
                [3 ]Neuropsychology Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
                [4 ]Ringgold 120349, universityIRCCS Centro Neurolesi Bonino-Pulejo; , Messina, Italy
                Author notes
                [*]Valeria Blasi, IRCCS Fondazione Don Carlo Gnocchi ONLUS, Via Capecelatro 66, 20148 Milan, Italy. Email: vblasi@ 123456dongnocchi.it
                Author information
                https://orcid.org/0000-0001-8237-6164
                https://orcid.org/0000-0002-8395-0452
                https://orcid.org/0000-0002-7879-4723
                https://orcid.org/0000-0003-4772-9109
                https://orcid.org/0000-0003-3208-3798
                https://orcid.org/0000-0002-5955-2323
                https://orcid.org/0000-0003-1350-3291
                https://orcid.org/0000-0001-8027-6098
                rehabilitation,multiple sclerosis,dementia,digital therapeutics,motivation

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