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      ParkinSong Online: Feasibility of Telehealth Delivery and Remote Data Collection for a Therapeutic Group Singing Study in Parkinson’s

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          Abstract

          Background

          Parkinson’s disease can negatively affect vocal functioning and social wellbeing, particularly in the latter stages of disease progression. Face-to-face group singing interventions can improve communication and wellbeing outcomes, yet not all people can access in-person sessions. To help overcome barriers to participation, exploration of the feasibility and utility of online therapeutic singing programs is needed.

          Objectives

          To evaluate the feasibility, acceptability, and preliminary efficacy of a 12-week ParkinSong Online intervention on speech and wellbeing for people with Parkinson’s disease.

          Methods

          A total of 28 participants with idiopathic Parkinson’s disease were recruited to a single-arm feasibility study. Weekly 90-minute online sessions were co-facilitated by a music therapist and speech pathologist. Speech and wellbeing assessments were conducted pre and post intervention. Participant and facilitator surveys were administered after each session, with focus group interviews at the end of the program.

          Results

          The recruitment rate was high (90%) with no attrition, adverse events, or safety issues. There was good intervention fidelity, attendance (average 89%), and positive participant experience. Feasibility was good, with technology reported as the main challenge (connecting and navigating Zoom). No improvements were seen in voice measures or wellbeing outcomes in this small trial. The online format used in this study did not provide the same benefits as in-person ParkinSong sessions.

          Conclusions

          ParkinSong Online is feasible for recreational purposes and social engagement provided that people have adequate technological knowledge or support. The optimal online delivery format to achieve communication improvements in Parkinson’s awaits confirmation.

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          Most cited references62

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          Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

          Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
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            The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment.

            To develop a 10-minute cognitive screening tool (Montreal Cognitive Assessment, MoCA) to assist first-line physicians in detection of mild cognitive impairment (MCI), a clinical state that often progresses to dementia. Validation study. A community clinic and an academic center. Ninety-four patients meeting MCI clinical criteria supported by psychometric measures, 93 patients with mild Alzheimer's disease (AD) (Mini-Mental State Examination (MMSE) score > or =17), and 90 healthy elderly controls (NC). The MoCA and MMSE were administered to all participants, and sensitivity and specificity of both measures were assessed for detection of MCI and mild AD. Using a cutoff score 26, the MMSE had a sensitivity of 18% to detect MCI, whereas the MoCA detected 90% of MCI subjects. In the mild AD group, the MMSE had a sensitivity of 78%, whereas the MoCA detected 100%. Specificity was excellent for both MMSE and MoCA (100% and 87%, respectively). MCI as an entity is evolving and somewhat controversial. The MoCA is a brief cognitive screening tool with high sensitivity and specificity for detecting MCI as currently conceptualized in patients performing in the normal range on the MMSE.
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              The short-form version of the Depression Anxiety Stress Scales (DASS-21): construct validity and normative data in a large non-clinical sample.

              To test the construct validity of the short-form version of the Depression anxiety and stress scale (DASS-21), and in particular, to assess whether stress as indexed by this measure is synonymous with negative affectivity (NA) or whether it represents a related, but distinct, construct. To provide normative data for the general adult population. Cross-sectional, correlational and confirmatory factor analysis (CFA). The DASS-21 was administered to a non-clinical sample, broadly representative of the general adult UK population (N = 1,794). Competing models of the latent structure of the DASS-21 were evaluated using CFA. The model with optimal fit (RCFI = 0.94) had a quadripartite structure, and consisted of a general factor of psychological distress plus orthogonal specific factors of depression, anxiety, and stress. This model was a significantly better fit than a competing model that tested the possibility that the Stress scale simply measures NA. The DASS-21 subscales can validly be used to measure the dimensions of depression, anxiety, and stress. However, each of these subscales also taps a more general dimension of psychological distress or NA. The utility of the measure is enhanced by the provision of normative data based on a large sample.
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                Author and article information

                Journal
                Neurorehabil Neural Repair
                Neurorehabil Neural Repair
                NNR
                spnnr
                Neurorehabilitation and Neural Repair
                SAGE Publications (Sage CA: Los Angeles, CA )
                1545-9683
                1552-6844
                29 December 2023
                February 2024
                : 38
                : 2
                : 122-133
                Affiliations
                [1 ]Faculty of Fine Arts and Music, The University of Melbourne, Southbank, VIC, Australia
                [2 ]Royal Talbot Rehabilitation Centre, Austin Health, Melbourne, VIC, Australia
                [3 ]School of Allied Health, Human Sciences and Sport, La Trobe University, Bundoora, VIC, Australia
                [4 ]Centre for Music and Health, Norwegian Academy of Music, Oslo, Norway
                [5 ]Monash Health, Melbourne, Clayton, VIC, Australia
                [6 ]Consumer Representative, Melbourne, VIC, Australia
                [7 ]Fight Parkinson’s, Melbourne, VIC, Australia
                [8 ]Centre for Neuroscience of Speech, The University of Melbourne, Parkville, VIC, Australia
                [9 ]Department of Neurodegeneration, Hertie Institute for Clinical Brain Research, University of Tübingen, Germany & Center for Neurology, University Hospital Tübingen, Postfach, Germany
                [10 ]Redenlab, Melbourne, VIC, Australia
                [11 ]Academic & Research Collaborative in Health (ARCH), and Care Economy Research Institute (CERI), La Trobe University, Bundoora, VIC, Australia
                [12 ]Victorian Rehabilitation Centre, Healthscope, Glen Waverley, VIC, Australia
                Author notes
                [*]Jeanette Tamplin, The University of Melbourne, 234 St Kilda Road, Southbank, VIC 3006, Australia. Email: jeanette.tamplin@ 123456unimelb.edu.au
                Author information
                https://orcid.org/0000-0002-3623-033X
                https://orcid.org/0000-0003-4768-9311
                https://orcid.org/0000-0002-3505-2631
                https://orcid.org/0000-0002-0114-4175
                Article
                10.1177_15459683231219269
                10.1177/15459683231219269
                10874111
                38156662
                0c8532e5-53bd-4873-8263-1096c89e5132
                © The Author(s) 2023

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                Funding
                Funded by: Medical Research Future Fund, Australia, ;
                Award ID: GNT20007411
                Funded by: Australian Research Council, Australia, ;
                Award ID: 220100253
                Funded by: National Health and Medical Research Council, Australia, ;
                Award ID: GNT11523
                Categories
                Original Research Articles
                Custom metadata
                ts1

                parkinson’s disease,singing,speech,voice,online,telehealth,feasibility,dysarthria,rehabilitation

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