Accepted for/Published in: JMIR Human Factors
Date Submitted: Aug 8, 2024
Open Peer Review Period: Aug 13, 2024 - Oct 8, 2024
Date Accepted: Jul 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Warning: This is an author submission that is not peer-reviewed or edited.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.
Integrating Patient-Generated Health Data into Orthopaedic Care: A Qualitative Study on Early Adopter Experiences with Clinical Software
ABSTRACT
Background:
Patient-Generated Health Data (PGHD) has been recognized as a potential tool in transforming healthcare from clinician-centered to more patient-centered approaches. This transformation is driven by the potential of PGHD to provide deeper insights into patients' conditions, facilitate personalized care, improve patient quality of life, reduce inefficiencies in data collection, and empower patients. Yet, actual implementation within clinical settings is still at early stages, and therefore impacts on clinical care remain limited.
Objective:
This study sought to explore the benefits, challenges, and opportunities of integrating PGHD into orthopaedic care by analyzing the reflections of early adopter surgeons and physiotherapists, who have used a digital care management platform.
Methods:
This qualitative study employed thematic analysis of interviews conducted with surgeons and physiotherapists (n=9) from an early adopter unit using "mymobility" an industry produced software platform. The participants were recruited using snowball sampling, and interviews were conducted from June to July 2022. The interviews focused on current work practices, use of digital tools, experiences with PGHD, and experiences with the mymobility software. Thematic analysis was conducted using NVivo software, focusing on identifying key themes and insights
Results:
The study identified several benefits of integrating PGHD into orthopaedic care, including improved patient education, enhanced communication and assessment, and increased patient motivation and adherence. However, several challenges were also noted, such as increased clinician workload, questionable data utility, lack of patient centricity, and inability to tailor software to clinical contexts. Suggested opportunities included improving dashboard design, personalizing physiotherapy, and using collected data for improving clinical care.
Conclusions:
The integration of PGHD into orthopaedic care shows promise, largely in areas suggested by literature. However, significant challenges remain. Future research should focus on addressing solvable challenges such as improving software user interface design and functionality, while embracing the possibility that some challenges lack clear solutions and will likely require careful balancing of design tensions. The findings highlight the need for ongoing development and refinement of PGHD-inclusive systems to better support clinical practice and patient outcomes.
Citation
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.