A synthesis of qualitative research to understand the complexity behind treatment decision-making for osteoarthritis

<strong>Objective</strong><br> 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 con...

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Bibliographic Details
Main Authors: Barker, KL, Toye, F, Seers, K
Format: Journal article
Language:English
Published: Elsevier 2023
Description
Summary:<strong>Objective</strong><br> 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.<br><br> <strong>Methods</strong><br> 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.<br><br> <strong>Results</strong><br> 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.<br><br> <strong>Conclusions</strong><br> 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.