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Many people with Parkinson’s (PwP) are not given the opportunity or do not have adequate access to participate in clinical research. To address this, we have codeveloped with users an online platform that connects PwP to clinical studies in their local area. It enables site staff to communicate with potential participants and aims to increase the participation of the Parkinson’s community in research. This protocol outlines the mixed methods study protocol for the usability testing of the platform.
We will seek user input to finalise the platform’s design, which will then be deployed in a limited launch for beta testing. The beta version will be used as a recruitment tool for up to three studies with multiple UK sites. Usability data will be collected from the three intended user groups: PwP, care partners acting on their behalf and site study coordinators. Usability questionnaires and website analytics will be used to capture user experience quantitatively, and a purposive sample of users will be invited to provide further feedback via semistructured interviews. Quantitative data will be analysed using descriptive statistics, and a thematic analysis undertaken for interview data. Data from this study will inform future platform iterations.
Ethical approval was obtained from the University of Plymouth (3291; 3 May 2022). We will share our findings via a ‘Latest News’ section within the platform, presentations, conference meetings and national PwP networks.
by Naureen Akber Ali Meghani, Joanne Hudson, Gareth Stratton, Jane Mullins
BackgroundThere are few studies that focus explicitly on the impact of the home environment on older adults’ sedentary behaviour (SB) and physical activity (PA) using the socio-ecological model (SEM). This study aims to investigate older adults’ PA and SB within the home environment integrating the SEM as a theoretical framework.
MethodsA qualitative exploratory research design was employed to conduct 33 in-depth interviews (IDIs) and five focus group (FGs; n = 16) with multi-diverse ethnic older adults (mean age 72±5 years). Using reflexive thematic analysis themes were generated from the data set and were interpreted using the SEM.
ResultsThe findings indicate that different levels of the SEM had an impact on older adults’ PA and SB. These include the 1) Individual level: Attitude, perception and motivation 2) Interpersonal level: Family and Friends: a motive to remain active 3) Organisational level: healthcare institutes, 4) Community level factors: Significance of social groups, 5) Physical Environment: Microenvironment and 6) Policy level factors (lockdown restrictions and healthcare system). This model can be utilised to foster activity within the home by focusing on the facilitators and barriers identified at each of these levels of influence.
ConclusionThe study findings suggest that modifying PA and SB in the home environment is complex and is influenced across different levels of the SEM. Therefore, a holistic approach is required that integrates these multiple influences. This understanding can inform the design of interventions that seek to optimize PA and minimize SB within the home environment.
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