Medicine (RMH) - Research Publications

Permanent URI for this collection

http://hdl.handle.net/11343/193

Filters

2014 2
2
Reset filters

Settings
Statistics
Citations
Subject: osteoarthritis × Author: Brand, Caroline × Start date: 2014 × End date: 2014 ×

Search Results

Now showing 1 - 2 of 2
  • Item
    Thumbnail Image
    Using WOMAC Index scores and personal characteristics to estimate Assessment of Quality of Life utility scores in people with hip and knee joint disease
    Ackerman, IN ; Tacey, MA ; Ademi, Z ; Bohensky, MA ; Liew, D ; Brand, CA (SPRINGER, 2014-10)
    PURPOSE: To determine whether Assessment of Quality of Life (AQoL) utility scores can be reliably estimated from Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores in people with hip and knee joint disease (arthritis or osteoarthritis). METHODS: WOMAC and AQoL data were analysed from 219 people recruited for a national population-based study. Generalised linear models were used to estimate AQoL utility scores based on WOMAC total and subscale scores and personal characteristics. Goodness of fit was assessed for each model, and plots of prediction errors versus actual AQoL utility scores were used to gauge bias. RESULTS: Each model closely predicted the average AQoL utility score for the overall sample (actual mean AQoL 0.64, range of predicted means 0.63-0.64; actual median AQoL 0.71, range of predicted medians 0.68-0.69). No clear preferred model was identified, and overall, the models predicted 40-46% of the variance in AQoL utility scores. The WOMAC function subscale model performed similarly to the total score model. The models functioned best at the mid-range of AQoL scores, with greater bias observed for extreme scores. Inaccuracies in individual-level estimates and low/high health-related quality of life (HRQoL) subgroup estimates were evident. CONCLUSION: Reliable overall group-level estimates were produced, supporting the application of these techniques at a population level. Using WOMAC scores to predict individual AQoL utility scores is not recommended, and the models may produce inaccurate estimates in studies targeting patients with low/high HRQoL. Where pain and stiffness data are unavailable, the WOMAC function subscale can be used to generate a reasonable utility estimate.
  • Item
    Thumbnail Image
    Chronic disease management: Improving care for people with osteoarthritis
    Brand, CA ; Ackerman, LN ; Tropea, J (ELSEVIER SCI LTD, 2014-02)
    Chronic disease management (CDM) service models are being developed for many conditions; however, there is limited evidence to support their effectiveness in osteoarthritis (OA). A systematic review was undertaken to examine effectiveness, cost effectiveness and barriers to the use of osteoarthritis-chronic disease management (OA-CDM) service models. Thirteen eligible studies (eight randomised controlled trial (RCTs)) were identified. The majority focussed on delivery system design (n = 9) and/or providing self-management support (SMS) (n = 8). Overall, reported model effectiveness varied, and where positive impacts on process or health outcomes were observed, they were of small to moderate effect. There was no information about cost effectiveness. There is some evidence to support the use of collaborative care/multidisciplinary case management models in primary and community care and evidence-based pathways/standardisation of care in hospital settings. Multiple barriers were identified. Future research should focus on identifying the effective components of multi-faceted interventions and evaluating cost-effectiveness to support clinical and policy decision-making.