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PURPOSEThis study aimed to understand perceptions that knee osteoarthritis patients have regarding their experiences of guideline-based recommendations within their care received from physiotherapists in private practice.METHODSA qualitative semi-structured interview study nested within a larger trial auditing care provided by physiotherapists. Recruited adults ≥ 45 years with knee osteoarthritis across nine primary care physiotherapy practices. Interview questions were anchored around the core elements recommended in guidelines for the management of knee osteoarthritis and patient perceptions of these were analysed using both content and thematic qualitative analysis approaches. Patient satisfaction with care received was asked at the time of interview.RESULTSTwenty-six patients volunteered for the study (mean 60 years, 58% female). Analysis identified that physiotherapists focused on treating symptoms through quadriceps strengthening exercises, which patients found to be effective, though focussed less on other aspects of evidenced-based care. Patient's perceived treatment to be effective in relieving pain and enabling them to stay active and they appreciated the positive role that their physiotherapist provided in alleviating their concerns. Overall, patients were satisfied with their physiotherapy care but would have liked more specific osteoarthritis education and longer-term management.CONCLUSIONThe description of the physiotherapy-related care received by people with knee osteoarthritis aligns with guideline recommendations, though mainly for strength-related exercise prescription. Despite some perceived shortfalls in care, patients do appear to be satisfied. However, improvements in patient outcomes may be possible if more elements of guideline-base care are regularly provided, including enhancing osteoarthritis education and fostering behaviour change.TRIAL REGISTRATIONACTRN12620000188932.

2023-01-01·Medical Decision Making

Validating the Assumptions of Population Adjustment: Application of Multilevel Network Meta-regression to a Network of Treatments for Plaque Psoriasis

Article

作者: Brnabic, Alan ; Welton, Nicky J. ; Phillippo, David M. ; Ades, A. E. ; Schymura, Yves ; Saure, Daniel ; Dias, Sofia ; Belger, Mark

Background Network meta-analysis (NMA) and indirect comparisons combine aggregate data (AgD) from multiple studies on treatments of interest but may give biased estimates if study populations differ. Population adjustment methods such as multilevel network meta-regression (ML-NMR) aim to reduce bias by adjusting for differences in study populations using individual patient data (IPD) from 1 or more studies under the conditional constancy assumption. A shared effect modifier assumption may also be necessary for identifiability. This article aims to demonstrate how the assumptions made by ML-NMR can be assessed in practice to obtain reliable treatment effect estimates in a target population. Methods We apply ML-NMR to a network of evidence on treatments for plaque psoriasis with a mix of IPD and AgD trials reporting ordered categorical outcomes. Relative treatment effects are estimated for each trial population and for 3 external target populations represented by a registry and 2 cohort studies. We examine residual heterogeneity and inconsistency and relax the shared effect modifier assumption for each covariate in turn. Results Estimated population-average treatment effects were similar across study populations, as differences in the distributions of effect modifiers were small. Better fit was achieved with ML-NMR than with NMA, and uncertainty was reduced by explaining within- and between-study variation. We found little evidence that the conditional constancy or shared effect modifier assumptions were invalid. Conclusions ML-NMR extends the NMA framework and addresses issues with previous population adjustment approaches. It coherently synthesizes evidence from IPD and AgD studies in networks of any size while avoiding aggregation bias and noncollapsibility bias, allows for key assumptions to be assessed or relaxed, and can produce estimates relevant to a target population for decision-making. Highlights Multilevel network meta-regression (ML-NMR) extends the network meta-analysis framework to synthesize evidence from networks of studies providing individual patient data or aggregate data while adjusting for differences in effect modifiers between studies (population adjustment). We apply ML-NMR to a network of treatments for plaque psoriasis with ordered categorical outcomes. We demonstrate for the first time how ML-NMR allows key assumptions to be assessed. We check for violations of conditional constancy of relative effects (such as unobserved effect modifiers) through residual heterogeneity and inconsistency and the shared effect modifier assumption by relaxing this for each covariate in turn. Crucially for decision making, population-adjusted treatment effects can be produced in any relevant target population. We produce population-average estimates for 3 external target populations, represented by the PsoBest registry and the PROSPECT and Chiricozzi 2019 cohort studies.

2022-12-01·Arthritis Research & Therapy2区 · 医学

‘Not at target’: prevalence and consequences of inadequate disease control in systemic lupus erythematosus—a multinational observational cohort study

2区 · 医学

ArticleOA

作者: Ohkubo, Naoaki ; Chan, Madelynn ; O'Neill, Sean ; Chen, Yi-Hsing ; Zhang, Zhuoli ; Takeuchi, Tsutomu ; Hamijoyo, Laniyati ; Tugnet, Nicola ; Katsumata, Yasuhiro ; Luo, Shue-Fen ; Gibson, Kathryn A ; Wu, Yeong-Jian J ; Nikpour, Mandana ; Ng, Kristine Pek Ling ; Tanaka, Yoshiya ; Harigai, Masayoshi ; Hoi, Alberta ; Cho, Jiacai ; Lau, Chak Sing ; Basnayake, B M D B ; Navarra, Sandra V ; Kikuchi, Jun ; Kumar, Sunil ; Sockalingam, Sargunan ; Goldblatt, Fiona ; Morand, Eric F ; Zamora, Leonid ; Lateef, Aisha ; Bae, Sang-Cheol ; Kandane-Rathnayake, Rangi ; An, Yuan ; Li, Zhanguo ; Louthrenoo, Worawit ; Hao, Yanjie ; Oon, Shereen ; Golder, Vera

AbstractBackgroundThe unmet need in systemic lupus erythematosus (SLE) with the current standard of care is widely recognised, but few studies have quantified this. The recent definition of treat-to-target endpoints and other thresholds of uncontrolled disease activity provide an opportunity to formally define unmet need in SLE. In this study, we enumerated the prevalence of these states and examined their association with adverse outcomes.MethodsData were collected prospectively in a 13-country longitudinal SLE cohort between 2013 and 2019. Unmet need was defined as never attaining lupus low disease activity state (LLDAS), a time-adjusted mean SLEDAI-2K (AMS) > 4, or ever experiencing high disease activity status (HDAS; SLEDAI-2K ≥10). Health-related quality of life (HRQoL) was assessed using SF36 (v2) and damage accrual using the SLICC-ACR SLE Damage Index (SDI).ResultsA total of 3384 SLE patients were followed over 30,313 visits (median [IQR] follow-up 2.4 [0.4, 4.3] years). Eight hundred thirteen patients (24%) never achieved LLDAS. Median AMS was 3.0 [1.4, 4.9]; 34% of patients had AMS > 4. Twenty-five per cent of patients had episodes of HDAS. Each of LLDAS-never, AMS>4, and HDAS-ever was strongly associated with damage accrual, higher glucocorticoid use, and worse HRQoL. Mortality was significantly increased in LLDAS-never (adjusted HR [95% CI] = 4.98 [2.07, 12.0], p<0.001) and HDAS-ever (adjusted hazard ratio (HR) [95% CI] = 5.45 [2.75, 10.8], p<0.001) patients.ConclusionFailure to achieve LLDAS, high average disease activity, and episodes of HDAS were prevalent in SLE and were significantly associated with poor outcomes including organ damage, glucocorticoid exposure, poor quality of life, and mortality.

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