Accepted for/Published in: JMIR mHealth and uHealth
Date Submitted: Sep 19, 2024
Open Peer Review Period: Sep 27, 2024 - Nov 22, 2024
Date Accepted: Oct 9, 2025
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Designing a self-guided digital intervention for self-management of shoulder pain in people living with spinal cord injury: A tutorial on using a person-based approach
ABSTRACT
Shoulder pain is prevalent in people living with spinal cord injury (pwSCI). Technology and digital rehabilitation tools are increasingly available, but this has not yet included provision of a self-guided exercise intervention focused on managing shoulder pain for pwSCI. We drew on the person-based approach (PBA) to intervention development, to design a Shoulder Pain Intervention delivered over the interNet (SPIN) to address this gap. However, in preparation for the design process we found few published examples of how the PBA had been operationalized. The aim of this paper is to provide a detailed explanation of our approach and how we operationalized the PBA in the design of SPIN to maximize relevance and engagement. Our design process followed the key PBA steps, combining additional evidence and theoretical components. Each step ensured guiding principles were formulated and followed to maximize the probability that SPIN would be fit for purpose. We followed three steps: 1) we drew from themes from preparatory research (existing and primary) to identify the key behavioral issues, needs and challenges, and existing features to form the basis of SPIN design; 2) we formatted guiding principles that included articulating specific design objectives to provide a framework to identify system requirements; and 3) we selected and refined intervention features using existing literature, behavioral theory, and tools such as the ‘Behaviour Change Wheel’. We have designed SPIN by incorporating a deep understanding of the users’ needs and best available evidence, to maximize engagement and positive outcomes. In this paper we have made clear how we operationalized the PBA phases, including how existing evidence, theory, tools, and methods were leveraged to support the PBA process. In explicating our process, we have provided a blueprint to provide guidance to future researchers using this approach.
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