Online Dance Therapy for People With Parkinson’s Disease: Feasibility and Impact on Consumer Engagement

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Abstract

Background

Therapeutic dancing can be beneficial for people living with Parkinson’s disease (PD), yet community-based classes can be difficult to access.

Objective

To evaluate the feasibility and impact of online therapeutic dancing classes for people in the early to mid-stages of PD.

Methods

Co-produced with people living with PD, physiotherapists, dance teachers and the local PD association, the ‘ParkinDANCE’ program was adapted to enable online delivery during the COVID-19 pandemic. Participants completed 8 one-hour sessions of online therapeutic dancing. Each person was assigned their own dance teacher and together they selected music for the classes. A mixed-methods design enabled analysis of feasibility and impact. Feasibility was quantified by attendance and adverse events. Impact was determined from individual narratives pertaining to consumer experiences and engagement, analysed with qualitative methods through a phenomenological lens.

Results

Attendance was high, with people attending 100% sessions. There were no adverse events. Impact was illustrated by the key themes from the in-depth interviews: (i) a sense of achievement, enjoyment and mastery occurred with online dance; (ii) project co-design facilitated participant engagement; (iii) dance instructor capabilities, knowledge and skills facilitated positive outcomes; (iv) music choices were key; and (v) participants were able to quickly adapt to online delivery with support and resources.

Conclusions

Online dance therapy was safe, feasible and perceived to be of benefit in this sample of early adopters. During the pandemic, it was a viable form of structured physical activity. For the future, online dance may afford benefits to health, well-being and social engagement.

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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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Qualitative research explores complex phenomena encountered by clinicians, health care providers, policy makers and consumers. Although partial checklists are available, no consolidated reporting framework exists for any type of qualitative design. To develop a checklist for explicit and comprehensive reporting of qualitative studies (in depth interviews and focus groups). We performed a comprehensive search in Cochrane and Campbell Protocols, Medline, CINAHL, systematic reviews of qualitative studies, author or reviewer guidelines of major medical journals and reference lists of relevant publications for existing checklists used to assess qualitative studies. Seventy-six items from 22 checklists were compiled into a comprehensive list. All items were grouped into three domains: (i) research team and reflexivity, (ii) study design and (iii) data analysis and reporting. Duplicate items and those that were ambiguous, too broadly defined and impractical to assess were removed. Items most frequently included in the checklists related to sampling method, setting for data collection, method of data collection, respondent validation of findings, method of recording data, description of the derivation of themes and inclusion of supporting quotations. We grouped all items into three domains: (i) research team and reflexivity, (ii) study design and (iii) data analysis and reporting. The criteria included in COREQ, a 32-item checklist, can help researchers to report important aspects of the research team, study methods, context of the study, findings, analysis and interpretations.

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Using the framework method for the analysis of qualitative data in multi-disciplinary health research

Nicola K Gale, Gemma Heath, Elaine Cameron … (2013)

Background The Framework Method is becoming an increasingly popular approach to the management and analysis of qualitative data in health research. However, there is confusion about its potential application and limitations. Discussion The article discusses when it is appropriate to adopt the Framework Method and explains the procedure for using it in multi-disciplinary health research teams, or those that involve clinicians, patients and lay people. The stages of the method are illustrated using examples from a published study. Summary Used effectively, with the leadership of an experienced qualitative researcher, the Framework Method is a systematic and flexible approach to analysing qualitative data and is appropriate for use in research teams even where not all members have previous experience of conducting qualitative research.