Medicine (RMH) - Research Publications
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ItemPerformance of the Assessment of Quality of Life Measure in People With Hip and Knee Joint Disease and Implications for Research and Clinical Use(WILEY, 2014-03)OBJECTIVE: To comprehensively evaluate the performance of the Assessment of Quality of Life (AQoL) instrument for measuring health-related quality of life (HRQOL) in people with hip and knee joint disease (arthritis or osteoarthritis). METHODS: Data from 237 individuals were available for analysis from a national cross-sectional, population-based study of hip and knee joint disease in Australia. AQoL-4D data were evaluated using Rasch analysis. A range of measurement properties was explored, including model and item fit, threshold ordering, differential item functioning, and targeting. RESULTS: Good overall fit of the AQoL with the Rasch model was demonstrated across a range of tests, supporting internal validity. Only 1 item (relating to hearing) showed evidence of misfit. Most AQoL items showed logical sequencing of response option categories, with threshold disordering evident for only 2 of the 12 items (items 4 and 9). Minor issues with potential clinical and research implications include limited options for reporting pain and some evidence of measurement bias between demographic subgroups (including age and sex). Participants' HRQOL was generally better than that represented by the AQoL items (mean ± SD for person abilities -2.15 ± 1.39, mean ± SD for item difficulties 0.00 ± 0.67), indicating ceiling effects that could impact the instrument's ability to detect HRQOL improvement in population-based studies. CONCLUSION: The AQoL is a competent tool for assessing HRQOL in people with hip and knee joint disease, although researchers and clinicians should consider the caveats identified when selecting appropriate HRQOL measures for future outcome assessment involving this patient group.
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ItemLifetime Risk of Total Knee Replacement and Temporal Trends in Incidence by Health Care Setting, Socioeconomic Status, and Geographic Location(WILEY, 2014-03)OBJECTIVE: To estimate the lifetime risk of total knee replacement (TKR) and examine temporal trends in TKR incidence in the state of Victoria, Australia. METHODS: We performed a retrospective analysis of a population-based longitudinal cohort of patients (ages ≥40 years) who received a primary TKR in Victoria from 1999-2008. Hospital separations and life tables were used to estimate lifetime risk. Temporal changes in TKR incidence were examined according to health care setting (public versus private), socioeconomic status (SES), and geographic location (regional versus metropolitan). RESULTS: There were 43,570 incidents of primary TKRs identified over the study period. In 2008, the lifetime risk of surgery was 10.4% (95% confidence interval [95% CI] 10.13-10.64%) for men and 11.9% (95% CI 11.63-12.13%) for women. TKRs increased steadily over the study period in private hospitals (overall increase of 90%) with a smaller growth in procedure numbers for public hospitals (overall increase of 40%). From 2002-2003 onward, the low SES tertile showed a lower incidence of TKR compared to the middle and high SES groups, with incidence rates of 1.09 (95% CI 1.04-1.15), 1.22 (95% CI 1.17-1.28), and 1.20 (95% CI 1.16-1.25) per 1,000 population, respectively (based on 2007-2008 figures). Increased numbers of TKRs were also found to be occurring among people residing in regional areas of Victoria (from 1.12 [95% CI 1.04-1.31] to 1.84 [95% CI 1.72-2.02] per 1,000 population). CONCLUSION: Increases in lifetime risk of TKR were evident. Although improved access to TKR for those living in regional areas was observed, sustained disparities relating to health care setting and SES warrant further investigation.
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ItemLifetime Risk of Total Hip Replacement Surgery and Temporal Trends in Utilization: A Population-Based Analysis(WILEY, 2014-08)OBJECTIVE: To investigate lifetime risk of total hip replacement (THR) surgery in the state of Victoria, Australia and to describe temporal trends in THR incidence. METHODS: We analyzed a retrospective population-based longitudinal cohort of patients who received a primary THR in Victoria from 1998-2009. The factors potentially contributing to changes in lifetime risk were also examined, including temporal changes in THR incidence according to health care setting (public versus private), socioeconomic status, and geographic location (regional versus metropolitan). RESULTS: We identified 45,775 patients receiving THR over the time period. For a woman age 20-29 years, the mortality-adjusted lifetime risk rose significantly over time, from 8.49% (95% confidence interval [95% CI] 8.23-8.69%) in 1999-2000 to 10.30% (95% CI 10.07-10.49%) in 2007-2008. For a man age 20-29 years, the mortality-adjusted lifetime risk also increased significantly, from 9.29% (95% CI 8.97-9.58%) in 1999-2000 to 10.27% (95% CI 9.95-10.48%) in 2004-2005, but in contrast to the pattern observed for women, it decreased slightly in 2007-2008 (9.90% [95% CI 9.60-10.16%]). We also identified an increasing number of THRs in private hospitals, in people in middle and low socioeconomic groups, and in rural areas. CONCLUSION: The lifetime risk of THR for women was similar to men, despite a higher burden of hip osteoarthritis, and this warrants further investigation. However, increases in the number of THR procedures performed for patients in regional areas and in lower socioeconomic groups suggest some reductions over time in known disparities.
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ItemUsing WOMAC Index scores and personal characteristics to estimate Assessment of Quality of Life utility scores in people with hip and knee joint disease(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.
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ItemChronic disease management: Improving care for people with osteoarthritis(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.