The economic burden of switching targeted disease-modifying anti-rheumatic drugs among rheumatoid arthritis patients

Aims: To estimate real world healthcare costs and resource utilization of rheumatoid arthritis (RA) patients associated with targeted disease modifying anti-rheumatic drugs (tDMARD) switching in general and switching to abatacept specifically.

Materials and methods: RA patients initiating a tDMARD were identified in IMS PharMetrics Plus health insurance claims data (2010–2016), and outcomes measured included monthly healthcare costs per patient (all-cause, RA-related) and resource utilization (inpatient stays, outpatient visits, emergency department [ED] visits). Generalized linear models were used to assess (i) average monthly costs per patient associated with tDMARD switching, and (ii) among switchers only, costs of switching to abatacept vs tumor necrosis factor inhibitors (TNFi) or other non-TNFi. Negative binomial regressions were used to determine incident rate ratios of resource utilization associated with switching to abatacept.

Results: Among 11,856 RA patients who initiated a tDMARD, 2,708 switched tDMARDs once and 814 switched twice (to a third tDMARD). Adjusted average monthly costs were higher among patients who switched to a second tDMARD vs non-switchers (all-cause: $4,785 vs $3,491, p?p?p?p?=?.021), and numerically lower all-cause costs ($4,444 vs $4,741, p?=?0.188). Switchers to TNFi relative to abatacept had more frequent inpatient stays after switch (incidence rate ratio (IRR) = 1.85, p?=?.031), and numerically higher ED visits (IRR = 1.32, p?=?.093). Outpatient visits were less frequent for TNFi switchers (IRR = 0.83, p?Limitations and conclusions: Switching to another tDMARD was associated with higher healthcare costs. Switching to abatacept, however, was associated with lower RA-related costs, fewer inpatient stays, but more frequent outpatient visits compared to switching to a TNFi.     

Healthcare resource use and costs of privately insured patients who switch,discontinue, or persist on anti-muscarinic therapy for overactive bladder

Objectives:

To compare the healthcare costs of patients with overactive bladder (OAB) who switch vs persist on anti-muscarinic agents (AMs), describe resource use and costs among OAB patients who discontinue AMs, and assess factors associated with persisting vs switching or discontinuing.

Methods:

OAB patients initiating an AM between January 1, 2007 and March 31, 2012 were identified from a claims database of US privately insured beneficiaries (n?≈?16 million) and required to have no AM claims in the 12 months before AM initiation (baseline period). Patients were classified as persisters, switchers, or discontinuers, and assigned a study index date based on their AM use in the 6 months following initiation. Baseline characteristics, resource use, and costs were compared between persisters and the other groups. Resource use and costs in the 1 month before and 6 months after the study index date (for switchers, the date of index AM switching; for persisters, a randomly assigned date to reflect the distribution of the time from AM initiation to switching among switchers) were also compared between persisters and switchers in unadjusted and adjusted analyses. Factors associated with persisting vs switching or discontinuing were assessed.

Results:

After controlling for baseline characteristics and costs, persisters vs switchers had significantly lower all-cause and OAB-related costs in both the month before (all-cause $1222 vs $1759, OAB-related $142 vs $170) and 6 months after the study index date (all-cause $7017 vs $8806, OAB-related $642 vs $797). Factors associated with switching or discontinuing vs persisting included index AM, younger age, and history of UTI.

Conclusion:

A large proportion of OAB patients discontinue or switch AMs shortly after initiation, and switching is associated with higher costs.     

Switching of biologic disease modifying anti-rheumatic drugs in patients with rheumatoid arthritis in a real world setting

Objectives:

This study examined total healthcare costs and rates of patients with rheumatoid arthritis (RA) who switch biologic disease-modifying anti-rheumatic drug (bDMARD) therapy in a real world setting.

Methods:

A retrospective longitudinal analysis was conducted in patients with RA using IMS PharMetrics Plus database from 1/1/2004 to 3/31/2010. The first-line cohort included patients newly initiated on abatacept or the tumor necrosis factor-alpha inhibitors (anti-TNFs) adalimumab, etanercept, or infliximab, with 12 months of continuous follow-up. The second-line cohort included patients initiating a bDMARD with evidence of a different bDMARD within the previous 2 years and with 12 months of continuous follow-up. Switching was defined as a different bDMARD claim within a 200% gap in days supply from the previous bDMARD claim. Non-switchers stayed on their bDMARD in the follow-up period. Monthly total healthcare costs for switchers and non-switchers and rates of bDMARD switching were examined. Switch rates for each bDMARD were also compared.

Results:

First-line switchers had significantly higher monthly total healthcare costs after the switch than non-switchers ($3759 vs $2343; p?p?Limitations:

There are no clinical data available in this database and, therefore, this study did not examine the clinical drivers of healthcare costs and switch rates.

Conclusions:

Monthly total healthcare costs were higher for bDMARD switchers following the switch compared to non-switchers. Patients on abatacept switched less frequently than patients on anti-TNFs. This study highlights the need to identify patients who are likely to switch in order to ensure they receive the appropriate therapy which may improve outcomes and decrease healthcare costs.     

Changes in healthcare resource use and costs associated with early versus delayed initiation of atypical antipsychotic adjunctive treatment in major depressive disorder

Aims: The study compared all-cause and major depressive disorder (MDD)-related healthcare resource use (HRU) and costs in patients with MDD treated with atypical antipsychotic (AAP) adjunctive therapy early or later in treatment.

Materials and methods: Adults with MDD and antidepressant treatment (ADT) who newly initiated adjunctive aripiprazole, brexpiprazole, lurasidone, or quetiapine between October 1, 2014 and September 30, 2015 were identified in the IQVIA Real-World Data Adjudicated Claims database; the index date was the date of the first AAP claim. Patients were stratified into three cohorts: AAP initiated in the first year (Y1); in the second year (Y2); and more than 2 years (Y3) of first ADT use. Within each cohort, HRU and costs were compared between the 12 months before and after the index date. Pre–post changes in HRU and costs were then compared between cohorts.

Results: Five hundred and six (36.7%) patients were categorized as Y1; 252 (18.3%) as Y2; and 622 (45.1%) as Y3. AAP use was associated with significantly decreased rates of all-cause and MDD-related hospitalization and emergency department visits, and increased rates of pharmacy fills and physician office visits; and the magnitude of changes was largest in cohort Y1. Cohort Y1 had the largest reductions in mean (±SD) all-cause medical costs per patient (?$10,496?±?$85,022, p?=?.015) compared to Y2 (?$2,474?±?$85,022, p?=?.572) and Y3 (?$472?±?$31,334, p?=?.823), mainly due to the reduction in hospitalization. After adjusting for differences in baseline characteristics, the largest reductions in hospitalization and medical costs were observed in cohort Y1. Similar increases in all-cause pharmacy costs were seen in all cohorts. A similar trend in costs was observed in MDD-related healthcare services.

Limitations and conclusions: AAP treatment was associated with reductions in all-cause and MDD-related medical costs, primarily in decreased hospitalization. The reductions were largest among patients who initiated treatment in the first year.     

Costs associated with non-medical switching from originator to biosimilar etanercept in patients with rheumatoid arthritis in the UK

Abstract

Aims: To estimate the cost impact of non-medical switching from originator to biosimilar etanercept in stable patients with rheumatoid arthritis (RA) in the UK.

Materials and methods: A cohort-based decision tree model was developed with a 1-year time horizon. The model population included patients with stable RA (patients who responded to originator etanercept treatment with no treatment changes in the previous 6?months). Patients could undergo a non-medical switch to a biosimilar and then switch treatment again, if medically required, after 3–6?months. Data on the proportion of patients switching therapies, baseline healthcare resource use, and impact of switching on resource use were sourced from a survey of 150 rheumatologists from EU5 markets (France, Germany, Italy, Spain, UK). The average impact of switching was evaluated as mean values for change in resource utilization due to switching. Also, low- and high-impact scenarios (lower and upper values of the 95% confidence intervals for change in resource utilization due to switching) were modelled as sensitivity analyses. Cost data came from published UK sources.

Results: The model assumed that 5,000 patients were treated with originator etanercept, with 1,259 (25.2%) switching to a biosimilar. Of those, 875 (69.5%) and 384 (30.5%) switched to SB4 and GP2015, respectively. After 3?months, 26.3% of patients who switched treatments did so again: 8.3% back to originator, 3.8% to the other biosimilar, and 14.2% to another biologic. Although originator etanercept was more expensive than the biosimilars, switching was more costly than continuous originator treatment across all impact scenarios. Switching treatment chains had higher overall annual per-patient costs than continuous originator treatment. Switching was associated with increased healthcare resource use.

Limitations: Results from this analysis are not transferable to other (non-RA) etanercept indications.

Conclusion: Non-medical switching can result in increased payer costs because of increased healthcare resource use following switching.     

Healthcare costs and resource utilization in patients with severe aplastic anemia in the US

Abstract

Purpose: This study aimed to evaluate the healthcare resource utilization (HCRU) and costs for patients with severe aplastic anemia (SAA) using US claims data.

Methods: This retrospective, observational database study analyzed claims data from the Truven MarketScan databases. SAA patients aged ≥2?years identified between 2014 and 2017 who were continuously enrolled for 6?months before their first SAA treatment or blood transfusion, with a ≥6-month follow-up, were included. Baseline demographics and comorbidities were evaluated. Monthly all-cause and SAA-related HCRU and direct costs in the follow-up period were analyzed and differences were presented for all patients and across age groups.

Results: With an average follow-up period of 21.5?months, 939 patients were included in the study. Monthly all-cause and SAA-related HCRU [mean (SD)] were 1.65 days (2.61 days) and 0.18 days (0.70 days) for length of stay, 0.18 (0.23) and 0.01 (0.04) for hospital admissions, 0.25 (0.30) and 0.02 (0.07) for ER visits, 2.24 (1.40) and 0.46 (0.99) for office visits, and 2.90 (2.64) and 0.55 (1.31) for outpatient visits, respectively. On average, SAA patients received 0.15 (0.57) blood transfusions per month. Mean monthly all-cause direct costs were $28,280 USD ($36,127) [US dollars, mean (SD)]. Direct costs related to admissions were $11,433 USD (SD $25,040), followed by $624 USD ($1,703) for ER visits, $528 USD ($694) for office visits, $7,615 USD ($13,273) for outpatient visits, and $5,998 USD ($11,461) for pharmacy expenses. Monthly SAA-related direct costs averaged $7,884 USD (SD $16,254); of these costs, $1,608 USD ($7,774) were from admissions, $47 USD ($257) from ER visits, $127 USD ($374) from office visits, $1,462 USD ($4,994) from outpatient visits, and $4,451 USD ($10,552) from pharmacy expenses.

Conclusion: SAA is associated with high economic burden, with costs comparable to blood malignancies, implying that US health plans should consider appropriately managing SAA while constraining the total healthcare costs when making formulary decisions.     

Outcomes of tumor necrosis factor inhibitor cycling versus switching to a disease-modifying anti-rheumatic drug with a new mechanism of action among patients with rheumatoid arthritis

Objectives: To examine treatment patterns, treatment effectiveness, and treatment costs for 1 year after patients with rheumatoid arthritis switched from a tumor necrosis factor inhibitor (TNFi) (adalimumab, certolizumab pegol, etanercept, golimumab, or infliximab), either cycling to another TNFi (“TNFi cyclers”) or switching to a new mechanism of action (abatacept, tocilizumab, or tofacitinib) (“new MOA switchers”).

Methods: This retrospective cohort study used administrative claims data for a national insurer. Treatment persistence (without switching again, restarting, or discontinuing), treatment effectiveness (defined below), and costs were assessed for the 12-month post-switch period. Patients were “effectively treated” if they satisfied all six criteria for a treatment effectiveness algorithm (high adherence, no dose increase, no new conventional synthetic disease-modifying anti-rheumatic drug, no subsequent switch in therapy, no new/increased oral glucocorticoids, and <2 glucocorticoid injections). Multivariable logistic models were used to adjust for baseline factors.

Results: The database included 581 new MOA switchers and 935 TNFi cyclers. New MOA switchers were 39% more likely than TNFi cyclers to persist after the switch (odds ratio [OR]?=?1.39; 95% confidence interval [CI]?=?1.12–1.74; p?=?.003) and 36% less likely to switch therapy again (OR?=?0.64; 95% CI?=?0.51–0.81; p?p?=?.006). New MOA switchers had 16% lower drug costs than TNFi cyclers (cost ratio?=?0.84; 95% CI?=?0.79–0.88; p?p?Limitations: Claims payments may not reflect rebates or other cost offsets. Medical and pharmacy claims do not include clinical end-points or reasons that lead to new MOA switching vs TNFi cycling.

Conclusions: These results support switching to a new MOA after a patient fails treatment with a TNFi, which is consistent with recent guidelines for the pharmacologic management of established rheumatoid arthritis.     

Economic impact of switching from metoprolol to nebivolol for hypertension treatment: a retrospective database analysis

Objective:

To estimate the real-world economic impact of switching hypertensive patients from metoprolol, a commonly prescribed, generic, non-vasodilatory β₁-blocker, to nebivolol, a branded-protected vasodilatory β₁-blocker.

Methods:

Retrospective analysis with a pre–post study design was conducted using the MarketScan database (2007–2011). Hypertensive patients continuously treated with metoprolol for ≥6 months (pre-period) and then switched to nebivolol for ≥6 months (post-period) were identified. The index date for switching was defined as the first nebivolol dispensing date. Data were collected for the two 6-month periods pre- and post-switching. Monthly healthcare resource utilization and healthcare costs pre- and post-switching were calculated and compared using Wilcoxon test and paired t-test. Medical costs at different years were inflated to the 2011 dollar.

Results:

In total, 2259 patients (mean age: 60 years; male: 52%; cardiovascular [CV] disease: 37%) met the selection criteria. Switching to nebivolol was associated with statistically significant reductions in the number of all-cause hospitalization (?33%; p?p?p?p?p?Conclusions:

This real-world study suggests that switching from metoprolol to nebivolol is associated with an increase in medication costs and significant reductions in hospitalizations and outpatient visits upon switching, resulting in an overall neutral effect on healthcare costs. These results may be interpreted with caution due to lack of a comparator group and confounding control caused by design and limitations inherent in insurance claims data.     

Real-world treatment patterns and healthcare costs among biologic-naive patients initiating apremilast or biologics for the treatment of psoriasis

Objective: This study compared real-world treatment patterns and healthcare costs among biologic-naive psoriasis patients initiating apremilast or biologics.

Methods: A retrospective cohort study was conducted using the Optum Clinformatics? claims database. Patients with psoriasis were selected if they had initiated apremilast or biologics between January 1, 2014, and December 31, 2015; had 12?months of pre-index and post-index continuous enrollment in the database; and were biologic-naive. The index date was defined as the date of the first claim for apremilast or biologic, and occurred between January 1, 2014, and December 31, 2015. Treatment persistence was defined as continuous treatment without a?>?60-day gap in therapy (discontinuation) or a switch to a different psoriasis treatment during the 12-month post-index period. Adherence was defined as a medication possession ratio (MPR) of ≥ 80% while persistent on the index treatment. Persistence-based MPR was defined as the number of days with the medication on hand measured during the patients’ period of treatment persistence divided by the duration of the period of treatment persistence. Because patients were not randomized, apremilast patients were propensity score matched up to 1:2 to biologic patients to adjust for possible selection bias. Treatment persistence/adherence and all-cause healthcare costs were evaluated. Cost differences were determined using Wilcoxon rank-sum tests.

Results: In all, 343 biologic-naive patients initiating apremilast were matched to 680 biologic-naive patients initiating biologics. After matching, patient characteristics were similar between cohorts. Twelve-month treatment persistence was similar for biologic-naive patients initiating apremilast vs biologics (32.1% vs 33.2%; p?=?0.7079). While persistent on therapy up to 12?months, per-patient per-month (PPPM) total healthcare costs were significantly lower among biologic-naive cohorts initiating apremilast vs biologics ($2,214 vs $5,184; p?p?p?p?Limitations: Data were limited to individuals with United Healthcare commercial and Medicare Advantage insurance plans, and may not be generalizable to psoriasis patients with other insurance or without health insurance coverage.

Conclusion: Biologic-naive patients with similar patient characteristics receiving apremilast vs biologics had significantly lower PPPM costs, even when they switched to biologics during the 12-month post-index period. These results may be useful to payers and providers seeking to optimize psoriasis care while reducing healthcare costs.     

Healthcare costs among men with favorable risk prostate cancer managed with observation strategies versus immediate treatment in an integrated healthcare system

Objective: This study explored short-term healthcare costs of men managed with observation strategies (OBS) vs immediate treatment (IMT) for favorable risk prostate cancer (PCa) from the Geisinger Health System, a single integrated health system in Pennsylvania, as evidence from the community setting is limited.

Methods: A retrospective cohort study was conducted using electronic health records from men aged ≥40 years diagnosed with favorable risk PCa (T1 or 2, PSA ≤15?ng/mL, Gleason ≤7 [3?+?4]) between January 2005 and October 2013. Prostate-specific healthcare costs were compared between the OBS and IMT cohorts in men with ≥3 years of follow-up and available linked claims data. Sub-group analyses focused on those men with low-risk PCa (T1-2a, PSA ≤10?ng/mL, Gleason ≤6). Sensitivity analysis stratified the study sample in three cohorts: OBS, switched from OBS to definitive treatment (OBS switch), and IMT.

Results: A total of 352 patients were included (OBS?=?70 and IMT?=?282). Compared with IMT, OBS resulted in significantly lower cumulative PCa-related healthcare costs for the first 3 years ($15,785 vs $23,177; p-value <.001). The main cost drivers were outpatient procedures. The OBS cohort had the lowest incremental PCa-related healthcare costs in the first 3 years (OBS: $5,011 vs OBS switch: $26,040, net cost savings?=?$21,029, p?p?Conclusions: In favorable risk PCa, half of the patients who initially chose OBS eventually underwent treatment after their PCa diagnosis. As expected, OBS was associated with reduced disease management costs compared with IMT.     

Major bleeding risk and healthcare economic outcomes of non-valvular atrial fibrillation patients newly-initiated with oral anticoagulant therapy in the real-world setting

Aims: This study compared the risk for major bleeding (MB) and healthcare economic outcomes of patients with non-valvular atrial fibrillation (NVAF) after initiating treatment with apixaban vs rivaroxaban, dabigatran, or warfarin.

Methods: NVAF patients who initiated apixaban, rivaroxaban, dabigatran, or warfarin were identified from the IMS Pharmetrics Plus database (January 1, 2013–September 30, 2015). Propensity score matching (PSM) was used to balance differences in patient characteristics between study cohorts: patients treated with apixaban vs rivaroxaban, apixaban vs dabigatran, and apixaban vs warfarin. Risk of hospitalization and healthcare costs (all-cause and MB-related) were compared between matched cohorts during the follow-up.

Results: During the follow-up, risks for all-cause (hazard ratio [HR]?=?1.44, 95% confidence interval [CI]?=?1.2–1.7) and MB-related (HR?=?1.57, 95% CI?=?1.0–2.4) hospitalizations were significantly greater for patients treated with rivaroxaban vs apixaban. Adjusted total all-cause healthcare costs were significantly lower for patients treated with apixaban vs rivaroxaban ($3,950 vs $4,333 per patient per month [PPPM], p?=?.002) and MB-related medical costs were not statistically significantly different ($100 vs $233 PPPM, p?=?.096). Risk for all-cause hospitalization (HR?=?1.98, 95% CI?=?1.6–2.4) was significantly greater for patients treated with dabigatran vs apixaban, although total all-cause healthcare costs were not statistically different. Risks for all-cause (HR?=?2.22, 95% CI?=?1.9–2.5) and MB-related (HR?=?2.05, 95% CI?=?1.4–3.0) hospitalizations were significantly greater for patients treated with warfarin vs apixaban. Total all-cause healthcare costs ($3,919 vs $4,177 PPPM, p?=?.025) and MB-related medical costs ($96 vs $212 PPPM, p?=?.026) were significantly lower for patients treated with apixaban vs warfarin.

Limitations: This retrospective database analysis does not establish causation.

Conclusions: In the real-world setting, compared with rivaroxaban and warfarin, apixaban is associated with reduced risk of hospitalization and lower healthcare costs. Compared with dabigatran, apixaban is associated with lower risk of hospitalizations.