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Record W6964849091 · doi:10.25959/25000679

Understanding the management of osteoarthritis in Tasmania and a novel approach to change

2023· dissertation· en· W6964849091 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Tasmania · 2023
Typedissertation
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsOsteoarthritisGuidelineViscosupplementationPhysical activityKnee replacementDisease managementWeight managementPain managementMEDLINE

Abstract

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<b>Background</b><br>Osteoarthritis (OA) is a serious, painful, and disabling disease which affects over 2.2 million Australians. This thesis focuses on knee OA, as this is the most commonly affected weight bearing joint. Current guidelines for the management of knee OA recommend conservative (non-surgical) management using a combination of non-pharmacological and pharmacological treatments. Non-pharmacological treatments of patient education and self-management, exercise and weight management are considered first line, core treatments recommended at all stages of disease. Pharmacological treatments, including paracetamol and non-steroidal anti-inflammatory medications, are focused on pain relief but are only modestly effective. Joint replacement surgery is recommended when these treatments fail to provide adequate pain relief or maintenance of function. Despite these recommendations, current management of OA falls short of best practice. There is underuse of guideline recommended first line care and overuse of medications and surgery to treat OA. Exercise uptake by patients is also low and only 13% of people with OA meet physical activity guidelines. To address these issues, we must understand both the clinician and patient perspective in managing OA. Additionally, identifying effective, low-cost, accessible, scalable, and sustainable strategies to promote physical activity in people with knee OA is crucial to improve their physical activity levels, maintain function, and manage symptoms.<br><b>Aims:</b><br>The overall aim of this thesis was to understand the management of OA in Tasmania, Australia and investigate a novel method for improving physical activity among people with knee OA. The specific aims were:1. To understand the management of OA by GPs and surgeons in Tasmania.<br>2. To understand the experience of patients with OA in Tasmania.<br>3. To determine the feasibility of using an existing community based physical activity initiative (parkrun) for people with knee OA<br><br><b>Methods</b><br>These aims were addressed through the following three studies:<br>Study one: <i>Understanding the management of osteoarthritis: A qualitative study of GPs and orthopaedic surgeons in Tasmania, Australia</i>. Purposive sampling was used to recruit 17 GPs and 10 surgeons from Tasmania. Semi-structured interviews were audio-recorded, transcribed, coded, and thematically analysed to document understanding of OA, management and treatment decision making.<br>Study two: <i>Navigating the maze of osteoarthritis (OA) treatment: A qualitative study exploring the experience of individuals with OA in Tasmania, Australia</i>. Purposive sampling was used to recruit 26 participants with knee OA, aged 45 years and over, from Tasmania. Semi-structured interviews were audio-recorded, transcribed, coded, and thematically analysed to document the experience of people with OA, gain an understanding of their management of the health system and explore their opinions on exercise and joint replacement surgery.<br>Study three: <i>Feasibility of ‘parkrun’ for people with knee osteoarthritis: A mixed-methods pilot study</i>. A mixed methods pilot study was used to enrol people with knee OA who were not meeting physical activity guidelines. Participants were asked to walk in four consecutive parkrun events supervised by an exercise physiologist or physiotherapist. Feasibility was assessed by recruitment data (numbers screened and time to enrol 15 participants), adherence to the protocol, acceptability (measured by confidence, enjoyment, and difficulty ratings and assessed through qualitative interviews), and safety (adverse events). Secondary measures were changes in knee pain measured by visual analogue scale (VAS), function and stiffness measured by Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), and physical activity levels assessed using a self-reported International Physical Activity Questionnaire (IPAQ).<br><b>Key findings</b>:<br>GPs and surgeons in Tasmania had a shared understanding of the cause and management of OA which aligned well with evidence-based best practice. Conservative management was highly supported by GPs and surgeons, with a focus on exercise and/or physiotherapy. Key treatment barriers for GPs and surgeons included managing poor patient understanding of OA, unrealistic expectations for treatment, lack of patient motivation and scepticism towards exercise, and cost and accessibility of conservative treatment options. Surgery was considered a suitable option when conservative management options had been exhausted.<br>From the patient perspective, individuals with knee OA in Tasmania were navigating a maze of OA treatments. They perceived that their GP did not have an ongoing role in the management of their disease. Participants were self-directing their management and sampling from a range of treatment options, some of which would be considered low-value care, including treatments which are neither recommended for or against in guidelines (topical capsaicin, platelet rich plasma injections) or strongly recommended against (stem cell therapy). However, they believed that exercise was beneficial for OA and perceived surgery as a last resort.<br>For the parkrun pilot study, seventeen participants (n=17) were enrolled over eleven months and recruitment was slower than anticipated. Fourteen participants completed all four parkruns, three of whom shortened the 5km course to ~3 km. Across all four parkruns, 75% of participants reported high confidence that they could complete the upcoming parkrun and the majority (87%) enjoyed participating. Most participants rated parkrun either “slightly difficult” (38.5%) or “moderately difficult” (35%) and two mild adverse events were reported. Participants had a significant improvement in Visual Analogue Scale (VAS) (0- 100mm) knee pain from baseline to post intervention, a change of -17.7mm (95% CI -29.4 to -5.9). Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores for pain, function and stiffness also showed significant improvements: pain score change -60.8 (95% CI -107.2 to -14.4), function score change -209.8 (-367.0 to -52.5) and stiffness score change -38.3 (-61.1 to -15.5)). While not significant, physical activity levels also improved.<br><b>Conclusion</b><br>This thesis explored the understanding and management of OA in a regional state in Australia, from the perspective of both clinicians and patients. Studies identified key barriers to treatment that can be addressed to improve the management of OA by clinicians and potential ways to improve access to treatment for patients. This work is informing health system redesign in Tasmania to improve OA care, including working with the Tasmanian Health Service to introduce evidence-based programs and models of care for OA management. These changes are supported by the recently released State-wide Elective Surgery Four Year Plan which aims to ensure no patients are waiting longer than is clinically recommended for their surgery. The thesis also explored a new initiative to potentially improve symptoms and increase physical activity in people with knee OA. The parkrun pilot study is the first to explore parkrun as an intervention in people with a chronic disease. The scalability, accessibility, and wide appeal of parkrun, together with the promising feasibility data supports the development of larger programs of research to evaluate the use of parkrun to improve physical activity in people with knee OA.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.531
Threshold uncertainty score0.674

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.075
GPT teacher head0.243
Teacher spread0.168 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2023
Admission routes1
Has abstractyes

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