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Evaluating the cost-effectiveness of biologic treatments for psoriatic arthritis: can we make better use of patient data registries?

ABSTRACT: The primary aim of this study is to explore the extent to which registry data may fulfill the evidence requirements of cost-effectiveness analysis (CEA) studies evaluating biologic therapies for the treatment of psoriatic arthritis (PsA), where trial data are lacking or insufficient. In addition, the paper aims to identify how future data collection in PsA registries might be better tailored to inform CEA research. A review of the literature was performed to identify existing registries containing PsA patients. Where possible, information was extracted on the design and characteristics of the registries. The registries were then appraised according to a set of criteria that was formulated based on the methods currently used to model PsA in the CEA literature. A review of the literature identified 21 potentially relevant registries from around the world containing patients with PsA. There was substantial variation regarding the extent to which the registries, as a whole, were useful for the purposes of CEA studies. There were also notable disparities found in terms of the accessibility of the registries to researchers. The critical review conducted in this study showed that all of the registries identified are potentially useful, at least in some degree, for the purposes of informing CEA studies in PsA. However, no individual registry on its own was found to meet all of the evidence requirements when considering how the disease has been modeled previously.

SUBMITTER: Patton T

PROVIDER: S-EPMC5519654 | biostudies-other | 2017 Aug

REPOSITORIES: biostudies-other

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Project description:ObjectiveMatching-adjusted indirect comparison (MAIC) can be used to assess the comparative effectiveness of two treatments indirectly using data from randomized placebo-controlled trials. This MAIC assessed the comparative effectiveness of secukinumab (an anti-interleukin-17A) and etanercept (a tumor necrosis factor inhibitor) in a target population of biologic-naïve patients with psoriatic arthritis (PsA).MethodsIndividual patient data pooled from FUTURE 2 (NCT01752634), FUTURE 3 (NCT01989468), and FUTURE 5 (NCT02404350) (secukinumab: 150 mg, n=458 and 300 mg, n=461) were matched to data from the population in the NCT00317499 trial (etanercept 25 mg, n=101) using MAIC methodology, by adjusting for clinical and demographic baseline characteristics. Recalculated outcomes from FUTURE 2, 3, and 5 (150 mg, effective sample size (ESS) post-matching=104; 300 mg, ESS=75; and placebo, ESS=159) were compared with the NCT00317499 trial. Pairwise comparisons using odds ratios (ORs) were performed for the American College of Rheumatology (ACR) 20, 50, and 70 response criteria at week 12 (placebo-adjusted) and week 24 (non-placebo-adjusted).ResultsAt week 12, there were no significant differences in ACR responses between secukinumab and etanercept. There was no significant difference between secukinumab 150 mg and etanercept at week 24 with respect to ACR 20 and 50 response rates; however, ACR 70 response rates were higher for secukinumab 150 mg (OR (95% confidence interval (CI)): 4.48 (2.01-9.99), p<0.001). ACR 20, 50, and 70 response rates were higher with secukinumab 300 mg than with etanercept at this time point (OR (95% CI): ACR 20, 3.28 (1.69-6.38), p<0.001; ACR 50, 1.90 (1.04-3.50), p=0.038; and ACR 70, 3.56 (1.51-8.40), p=0.004).ConclusionIn this MAIC, secukinumab was associated with higher ACR 20 and 50 (secukinumab 300 mg) and 70 (secukinumab 150 mg and 300 mg) response rates at week 24 than etanercept in biologic-naïve patients with active PsA, whereas no significant difference was observed in the short-term at week 12.

Project description:INTRODUCTION:We compared treatment switch patterns and healthcare costs among biologic-naive patients with psoriatic arthritis (PsA) who initiated apremilast or biologics. METHODS:A 1:2 propensity score match was used to adjust administrative claims data for adults initiating apremilast or biologics from January 1, 2014, to September 30, 2016, for possible selection bias. Patients had at least 12 months of pre- and post-index continuous enrollment in the Optum Clinformatics™ Data Mart database. Outcomes included switch frequency, days to switch, adherence on index treatment, and healthcare costs (total and per patient per month). Switch rate was defined as the proportion of patients who switched to a new treatment after initiation of the index treatment, and days to switch was calculated as the days between initiation of the index treatment and initiation of the new treatment. Adherence was calculated using the proportion of days covered and the medication possession ratio. The t test and chi-square, Kaplan-Meier, and Wilcoxon rank-sum tests were used to evaluate differences between the cohorts. RESULTS:Patient characteristics and switch rates were similar between the matched apremilast (n?=?170) and biologic (n?=?327) cohorts. After matching, patient characteristics were similar between the matched cohorts. The 12-month switch rates were similar for patients initiating apremilast versus those on biologics (17.7% vs. 25.1%, P?=?0.06). This trend was similar at 6 months (7.7% vs. 13.2%, P?=?0.07) and 18 months (24.4% vs. 29.3%, P?=?0.33). Regardless of treatment switching, 12-month total healthcare costs were lower with apremilast versus biologics (all: $28,423 vs. $41,178, P?<?0.0001; switched: $39,803 vs. $51,517, P?=?0.0040; did not switch: $25,984 vs. $37,717, P?<?0.0001). CONCLUSIONS:Biologic-naive patients with PsA who initiated apremilast had switch rates similar to biologic users and significantly lower healthcare costs, regardless of treatment switching.

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Evaluating the cost-effectiveness of biologic treatments for psoriatic arthritis: can we make better use of patient data registries?

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