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Updated: Aug 4, 2025

Author Spotlight: Investigating the Mechanism of Action of Acupotomy in Treating Knee Osteoarthritis
Published on: October 20, 2023
A synthesis of qualitative research to understand the complexity behind treatment decision-making for osteoarthritis
Karen Louise Barker1,2, Francine Toye1, Kate Seers3
1Physiotherapy Research Unit, Nuffield Orthopaedic Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, OX3 7LD, UK.
Objective:
Osteoarthritis is the most common joint disease with treatment involving a multidisciplinary approach with pharmacological, physical therapies and surgery as options. Qualitative research can help us to understand the complexity of managing health conditions and this understanding plays a role in good clinical practice. We aimed to systematically search for, identify, and synthesise qualitative research exploring the experience of living with osteoarthritis, including decision making about joint replacement.
Methods:
We comprehensively searched 4 bibliographic databases and used the methods of meta-ethnography to synthesise qualitative research findings. We screened 10 123 titles, 548 abstracts, and 139 full texts. We included findings from 118 reports (105 unique samples) of at least 2534 adults living with osteoarthritis around the world.
Results:
We developed 7 themes: Becoming your own expert can be hard work; Living has become a careful balancing act; Medication is a double-edged sword; I have other things in my life to consider; You have to weigh up the odds of surgery; Surgery is the only effective option; and Surgery will give me a chance to live now. These findings have been drawn into a conceptual model reflecting a complex balancing act with tensions underpinning treatment decision making.
Conclusions:
Osteoarthritis is framed as a world where patients become their own expert about their management and healthcare choices. Our conceptual model highlights key tensions underpinning treatment decision-making. These findings provide clinicians with insight of the complex nature of these decisions and how they can help patients through shared decision making.
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