Comparative Effectiveness Research of Disease-Modifying Therapies for the Management of Multiple Sclerosis: Analysis of a Large Health Insurance Claims Database.
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ABSTRACT: Introduction
Limited data are available on the real-world effectiveness of newer oral disease-modifying therapies (DMTs) in multiple sclerosis. The purpose of this study was to retrospectively compare the real-world effectiveness of dimethyl fumarate (DMF), fingolimod, teriflunomide, and injectable DMTs in routine clinical practice based on US claims data.Methods
Patients newly-initiating DMF, interferon beta (IFNβ), glatiramer acetate (GA), teriflunomide, or fingolimod in 2013 were identified in the Truven MarketScan Commercial Claims Databases (N = 6372). Relapse episodes were identified based on a published claim-based algorithm and used to determine the annualized relapse rate (ARR) for the year before and after initiating therapy. Poisson and negative binomial regression was used to determine the adjusted incidence rate ratio (IRR) for each therapy relative to DMF.Results
Significant ARR reductions in the year after initiating therapy were reported for DMF and fingolimod (P < 0.0001). Compared with DMF, the adjusted IRR (95% CI) for relapse in the year after initiating therapy was 1.27 (1.10-1.46) for IFNβ, 1.34 (1.17-1.53) for GA, 1.23 (1.05-1.45) for teriflunomide, and 1.03 (0.88-1.21) for fingolimod. Results were consistent across subgroup and sensitivity analyses.Conclusion
These real-world data suggest DMF and fingolimod have similar effectiveness and demonstrate superior effectiveness to IFNβ, GA, and teriflunomide.Funding
Biogen, Cambridge, MA, USA.
SUBMITTER: Boster A
PROVIDER: S-EPMC5447557 | biostudies-literature |
REPOSITORIES: biostudies-literature
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| S-EPMC5683097 | biostudies-literature
Project description:BackgroundTo the extent that outcomes are mediated through negative perceptions of generics (the nocebo effect), observational studies comparing brand-name and generic drugs are susceptible to bias favoring the brand-name drugs. We used authorized generic (AG) products, which are identical in composition and appearance to brand-name products but are marketed as generics, as a control group to address this bias in an evaluation aiming to compare the effectiveness of generic versus brand medications.Methods and findingsFor commercial health insurance enrollees from the US, administrative claims data were derived from 2 databases: (1) Optum Clinformatics Data Mart (years: 2004-2013) and (2) Truven MarketScan (years: 2003-2015). For a total of 8 drug products, the following groups were compared using a cohort study design: (1) patients switching from brand-name products to AGs versus generics, and patients initiating treatment with AGs versus generics, where AG use proxied brand-name use, addressing negative perception bias, and (2) patients initiating generic versus brand-name products (bias-prone direct comparison) and patients initiating AG versus brand-name products (negative control). Using Cox proportional hazards regression after 1:1 propensity-score matching, we compared a composite cardiovascular endpoint (for amlodipine, amlodipine-benazepril, and quinapril), non-vertebral fracture (for alendronate and calcitonin), psychiatric hospitalization rate (for sertraline and escitalopram), and insulin initiation (for glipizide) between the groups. Inverse variance meta-analytic methods were used to pool adjusted hazard ratios (HRs) for each comparison between the 2 databases. Across 8 products, 2,264,774 matched pairs of patients were included in the comparisons of AGs versus generics. A majority (12 out of 16) of the clinical endpoint estimates showed similar outcomes between AGs and generics. Among the other 4 estimates that did have significantly different outcomes, 3 suggested improved outcomes with generics and 1 favored AGs (patients switching from amlodipine brand-name: HR [95% CI] 0.92 [0.88-0.97]). The comparison between generic and brand-name initiators involved 1,313,161 matched pairs, and no differences in outcomes were noted for alendronate, calcitonin, glipizide, or quinapril. We observed a lower risk of the composite cardiovascular endpoint with generics versus brand-name products for amlodipine and amlodipine-benazepril (HR [95% CI]: 0.91 [0.84-0.99] and 0.84 [0.76-0.94], respectively). For escitalopram and sertraline, we observed higher rates of psychiatric hospitalizations with generics (HR [95% CI]: 1.05 [1.01-1.10] and 1.07 [1.01-1.14], respectively). The negative control comparisons also indicated potentially higher rates of similar magnitude with AG compared to brand-name initiation for escitalopram and sertraline (HR [95% CI]: 1.06 [0.98-1.13] and 1.11 [1.05-1.18], respectively), suggesting that the differences observed between brand and generic users in these outcomes are likely explained by either residual confounding or generic perception bias. Limitations of this study include potential residual confounding due to the unavailability of certain clinical parameters in administrative claims data and the inability to evaluate surrogate outcomes, such as immediate changes in blood pressure, upon switching from brand products to generics.ConclusionsIn this study, we observed that use of generics was associated with comparable clinical outcomes to use of brand-name products. These results could help in promoting educational interventions aimed at increasing patient and provider confidence in the ability of generic medicines to manage chronic diseases.
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Project description:ImportanceAlthough a few studies have shown that mental health disorders (MHDs) are strongly associated with the 5-year survival and recurrence rates in patients with head and neck cancer (HNC), none have been replicated in a large-scale study.ObjectiveTo describe the prevalence of MHDs in patients with HNC and the potential associations with survival and recurrence using a large insurance claims database.Design, setting, and participantsThis retrospective cohort study assessed data queried from the MarketScan database from January 1, 2005, through December 31, 2014, for 52 641 patients with a diagnosis of HNC. To exclude patients with a preexisting HNC diagnosis or those with incomplete data, patients were included if they were in the database for at least 12 months before the index diagnosis and continuously enrolled. Data were analyzed from February 20, 2017, through January 22, 2019.Main outcomes and measuresTo compare the frequency of MHDs before and after diagnosis of HNC, χ2 tests for independence were used. Adjusted adds ratios (aORs) were obtained using multivariable logistic regression by comparing the prevalence of MHDs in patients with oral cavity cancer and those with other cancer sites in the head and neck.ResultsAmong the 52 641 patients included in the analysis (mean [SD] age, 51.31 [9.79] years), men (58.5%), patients aged 55 to 64 years (46.6%), and those from the South (40.3%) were most commonly affected by HNC. Oral cavity cancers (40.4%) were the most common type, followed by cancers of the oropharynx (19.2%) and larynx (15.5%). Of the various cancer sites, the OR for MHD prevalence was significantly increased in patients with cancers of the trachea compared with the oral cavity (2.11; 95% CI, 1.87-2.38). The prevalence of MHDs in patients with HNC increased to 29.9% compared with 20.6% before the cancer diagnosis. Specifically, women (adjusted OR, 1.58; 95% CI, 1.49-1.67) and patients with a history of tobacco use (adjusted OR, 1.42; 95% CI, 1.34-1.50) and alcohol use (adjusted OR, 1.56; 95% CI, 1.38-1.76) had significantly higher odds of MHDs after the diagnosis of HNC.Conclusions and relevanceAlthough the baseline MHD prevalence of 20.6% before the cancer diagnosis was close to the national average (17.9% according to the National Survey on Drug Use and Health), results of this study showed that it increased to 29.9% after the cancer diagnosis. Women and patients with a history of tobacco and alcohol use were most susceptible to being diagnosed with an MHD. There is an association between patients with HNC and an increased prevalence of MHDs after treatment compared with the general population.
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Project description:Medical insurance claims are becoming increasingly common data sources to answer a variety of questions in biomedical research. Although comprehensive in terms of longitudinal characterization of disease development and progression for a potentially large number of patients, population-based inference using these datasets require thoughtful modifications to sample selection and analytic strategies relative to other types of studies. Along with complex selection bias and missing data issues, claims-based studies are purely observational, which limits effective understanding and characterization of the treatment differences between groups being compared. All these issues contribute to a crisis in reproducibility and replication of comparative findings using medical claims. This paper offers practical guidance to the analytical process, demonstrates methods for estimating causal treatment effects with propensity score methods for several types of outcomes common to such studies, such as binary, count, time to event and longitudinally-varying measures, and also aims to increase transparency and reproducibility of reporting of results from these investigations. We provide an online version of the paper with readily implementable code for the entire analysis pipeline to serve as a guided tutorial for practitioners. The online version can be accessed at https://rydaro.github.io/. The analytic pipeline is illustrated using a sub-cohort of patients with advanced prostate cancer from the large Clinformatics TM Data Mart Database (OptumInsight, Eden Prairie, Minnesota), consisting of 73 million distinct private payer insurees from 2001-2016.
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Project description:In the past decade, the therapeutic arsenal for multiple sclerosis has expanded greatly. Newer more potent disease modifying therapies (DMTs) with varying mechanisms of actions are increasingly used early in the disease course. These newer DMTs include oral therapies (teriflunomide, dimethyl fumarate, fingolimod, siponimod, ozanimod, and cladribine) and infusion therapies (natalizumab, alemtuzumab, and ocrelizumab), and are associated with better control of disease activity and long-term outcomes in patients with MS compared to older injectable therapies (interferon beta and glatiramer acetate). However, they are associated with safety concerns and subsequent monitoring requirements. Adverse events are initially observed in phase 2 and 3 clinical trials, and further long-term data are collected in phase 3 extension studies, case series, and post-marketing reports, which highlight the need to periodically re-evaluate and adjust monitoring strategies to optimize treatment safety in an individualized approach.
| S-EPMC7823546 | biostudies-literature
Project description:ObjectiveTo evaluate the association between health insurance coverage and disease-modifying therapy (DMT) use for multiple sclerosis (MS).MethodsIn 2014, we surveyed participants in the North American Research Committee on MS registry regarding health insurance coverage. We investigated associations between negative insurance change and (1) the type of insurance, (2) DMT use, (3) use of free/discounted drug programs, and (4) insurance challenges using multivariable logistic regressions.ResultsOf 6,662 respondents included in the analysis, 6,562 (98.5%) had health insurance, but 1,472 (22.1%) reported negative insurance change compared with 12 months earlier. Respondents with private insurance were more likely to report negative insurance change than any other insurance. Among respondents not taking DMTs, 6.1% cited insurance/financial concerns as the sole reason. Of respondents taking DMTs, 24.7% partially or completely relied on support from free/discounted drug programs. Of respondents obtaining DMTs through insurance, 3.3% experienced initial insurance denial of DMT use, 2.3% encountered insurance denial of DMT switches, and 1.6% skipped or split doses because of increased copay. For respondents with relapsing-remitting MS, negative insurance change increased their odds of not taking DMTs (odds ratio [OR] 1.50; 1.16-1.93), using free/discounted drug programs for DMTs (OR 1.89; 1.40-2.57), and encountering insurance challenges (OR 2.48; 1.64-3.76).ConclusionsInsurance coverage affects DMT use for persons with MS, and use of free/discounted drug programs is substantial and makes economic analysis that ignores these supplements potentially inaccurate. The rising costs of drugs and changing insurance coverage adversely affect access to treatment for persons with MS.
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