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Rapid monitoring of health services use following a policy to switch patients from originator to biosimilar etanercept—a cohort study in British Columbia

BMC Rheumatology volume 6, Article number: 5 (2022) Cite this article

Abstract

Background

Drug coverage policies that incentivize switching patients from originator to biosimilar products may result in significant health care savings. Our study aimed to detect early impacts on health services utilization following a mandated switch from originator to biosimilar etanercept in British Columbia (BC), Canada.

Methods

We conducted a prospective, population-based cohort study using linked administrative health data from BC (2010–2020). The policy cohort consisted of patients with inflammatory arthritis who used originator etanercept in 2019, prior to BC’s Biosimilars Initiative switching policy. Three historical cohorts included patients with inflammatory arthritis who used originator etanercept in the years 2016, 2017, and 2018. We compared the daily cumulative incidences of drug refills and outpatient and inpatient services between the policy and historical cohorts. A likelihood ratio sustained (≥ 31 days) at 7.1 or higher compared with the null hypothesis was chosen a priori as a threshold for a potential impact of the policy.

Results

Each cohort contained between 1694 and 1963 patients. We detected several potential impacts: 1) a transient increase in etanercept refills between months three and eight (cumulative incidence difference of + 3.0%); 2) an anticipated increase in visits to physicians of any specialty between months three and eight (+ 2.6%); and 3) an anticipated increase in visits to a rheumatologist from the end of month three onwards (+ 12.8%). The policy had no impact on incidences of switching to a different biologic antirheumatic drug, visits to emergency departments, or admissions to hospitals.

Conclusions

Only transient and/or anticipated increases in drug refills and physician visits were observed during the study period. Additional research on clinical outcomes is recommended to strengthen the evidence that no long-term unintended negative health impacts are associated with BC’s Biosimilars Initiative [switching policy].

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Background

Biologic disease-modifying anti-rheumatic drugs (bDMARDs), such as tumor necrosis factor inhibitors, have revolutionized the management of serious health conditions over the last two decades. This therapy has also raised health care costs significantly [1]. Originator etanercept (trade name Enbrel) was the first tumor necrosis factor inhibitor approved to treat patients with rheumatoid arthritis in Canada and the United States. Etanercept is widely prescribed to treat inflammatory arthritis, such as rheumatoid arthritis, psoriatic arthritis, and axial spondyloarthritis [2,3,4]. Following the recent patent expiration of originator etanercept, the more affordable biosimilar versions of etanercept are available. Switching patients from originator etanercept to its biosimilars as part of routine clinical practice may result in significant public and private drug cost savings [5, 6]. The biosimilar products Brenzys and Erelzi were approved by Health Canada in August 2016 and April 2017 respectively [7]. Both have demonstrated no clinically meaningful differences in quality, efficacy, safety, or immunogenicity compared with originator etanercept in clinical trials [8] or in analyses of real-world data [9]. Treatment persistence with biosimilar versions of etanercept was comparable or longer than with originator etanercept [10, 11]. Even with increasing evidence that switching to biosimilar products is not associated with negative effects on patient health, some patients and physicians have expressed concerns and resisted switching [12,13,14,15].

On 27 May 2019 the British Columbia (BC) Ministry of Health implemented Phase 1 of the Biosimilars Initiative, a drug coverage policy that required a non-medical switch from originator etanercept to its biosimilars [16]. To qualify for cost coverage by the provincial drug plan PharmaCare, patients treated with originator etanercept for rheumatoid arthritis, ankylosing spondylitis, or psoriatic arthritis were required to switch to a biosimilar etanercept. During a six-month transition period, BC PharmaCare covered the costs of originator etanercept only for patients with continuous approval of coverage. After the transition period, only the biosimilars were covered, unless a medical exemption was submitted by a physician.

The BC Ministry of Health requested real-time monitoring of the impact of the Biosimilars Initiative on health services utilization. This involved examining the use of health services such as emergency department visits and drugs such as nonsteroidal anti-inflammatory drugs (NSAIDs) or oral steroids, which served as proxies for disease activity in this analysis [17, 18]. Previous studies assessed changes in health services utilization following the launch of a non-medical switching policy for bDMARDs based on estimates from physician surveys [19, 20] or real-world data on etanercept switching [21,22,23,24]. These methodologies require significant resources and are limited to a single analysis, which is often delayed. The aim of this rapid monitoring analysis was to detect signals of intended and unintended impacts on health services utilization over a one-year period following the launch of the Biosimilars Initiative for patients treated with originator etanercept [25, 26]. Our study was designed to detect potential signals of unintended negative impacts in an entire population, and not to accept or reject a hypothesis of harm in the presence of a sampling error. If negative impacts were detected, additional analysis was considered. Unintended negative impacts of the policy are, for example, a decrease in refilling etanercept or an increase in switching to other bDMARDs, emergency department visits, or hospitalizations. Intended impacts include an increase in the percentage use of biosimilars in etanercept utilization and an increase in visits to physicians.

Methods

Setting

The Canadian province of British Columbia has a universal health system that provides access to medically necessary health services, such as physician and hospital services. In addition, eligible prescription drugs, certain medical supplies, and pharmacy services are covered under the provincial drug plan, PharmaCare. BC residents, regardless of age and income, are eligible to register for PharmaCare coverage. The largest plan, Fair PharmaCare, is income-based, i.e., patients and families are eligible for cost subsidies after reaching their annual deductible level [27].

Study design and data source

We conducted rapid monitoring of health services utilization [25, 26] using a prospective cohort study design and administrative data from the BC Ministry of Health. The data included population-based, province-wide information on prescriptions filled in all community pharmacies, diagnoses recorded in visits to physicians and other providers, hospital and emergency department records, and medical services registration data. Data were linked using anonymized identifiers. We had no access to data of individuals covered directly by federal health care programs [28] and beneficiaries of the BC First Nations Health Authority Health Benefits Program [29]. Data were analyzed using Oracle SQL Developer and SAS (version 9.4, SAS Institute Inc., Cary, NC, USA) software.

Study cohorts

We assembled four cohorts of users of the originator etanercept from a source population of individuals enrolled in the provincial health plan. The policy cohort was constructed from all patients who used originator etanercept between 27 November 2018 and 26 May 2019, i.e., during the six months before the launch of the Biosimilars Initiative. Similarly, patients were included in the three historical cohorts if they refilled a prescription for the originator etanercept in the six months before 27 May in the prior years of 2016, 2017, and 2018. Cohort entry occurred on 27 May of each year. We excluded patients who were not targeted by the policy, i.e., patients with psoriasis, those who had discontinued or switched away from originator etanercept, and patients whose drug costs were not covered by PharmaCare. We also excluded patients with short follow-up (< 30 days). For details on exclusion criteria, please refer to Additional file 1: Table S1.

Table 1 Identification of historical and policy cohorts: eligible, excluded, and included users of originator etanercept
Full size table

Exposure and outcomes

Patients in the policy cohort were considered exposed to the policy, while patients in the three historical cohorts served as controls. The main outcomes consisted of cumulative incidence, updated daily, of drug and health services use: refills for etanercept (originator or biosimilar); switching to biosimilar etanercept (for the policy cohort only); switching to another bDMARD or a targeted synthetic DMARD (tsDMARD); office visits to a physician (outpatient setting, any specialty); office visits to a rheumatologist (outpatient setting); visits to an emergency department; and hospital admissions. Secondary outcomes included the average cumulative dose of etanercept (originator or biosimilar); and the average cumulative days’ supply for each of the following therapeutic groups: conventional synthetic DMARDs (csDMARDs), NSAIDs, or oral steroids. The full list of drugs is included in Additional file 1: Table S2.

Table 2 Demographic characteristics and diagnosis of users of the originator etanercept, by cohort
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Statistical analysis

For the main outcomes, we computed daily cumulative incidence differences between the policy cohort and the average of the historical cohorts. In the absence of an effect of the Biosimilars Initiative, the cumulative incidence trend for the policy cohort was expected to follow the average cumulative incidence trends for the historical cohorts, i.e., the expected cumulative incidence difference was zero. Since the cumulative incidence differences were measured daily and updated monthly, we used likelihood ratios to assess the “strength” of cumulative incidence differences to facilitate their interpretation as signals versus noise. Unlike test statistics, the interpretation of a likelihood ratio remains the same regardless of how many times the data are updated [30]. The likelihood ratio denoted the likelihood of the observed cumulative incidence difference relative to no difference. For our analysis, a cumulative incidence difference was considered a signal if the likelihood ratio for the observed difference versus no difference was sustained at a threshold of 7.1 (ez=1.96) or higher for 31 days or longer [25]. This means that the null hypothesis (i.e., cumulative incidence difference of zero) was 7.1-fold less likely than the observed difference. Details of the likelihood ratio calculation are available from the study protocol [25]. Secondary outcomes were descriptive; we plotted cumulative quantity per patient over time of follow-up.

Results

Biosimilar uptake in British Columbia

During the six-month transition period, we observed a sharp increase in the percentage of prescriptions for the biosimilars among all etanercept prescription refills covered by PharmaCare, from 17.3% (349 of 2016 prescriptions) in May 2019 to 96.9% (1887 of 1948 prescriptions) in December 2019 (Fig. 1).

Fig. 1
figure 1

Prescriptions for biosimilar etanercept—percentage of all etanercept prescription refills covered by PharmaCare, by month

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Study cohorts

For the rapid monitoring cohorts, we identified between 2065 and 2476 patients with refills for originator etanercept during the six-month identification periods ending on 26 May of each year (Table 1). We excluded between 10.7% and 11.7% (220–283) of the patients in each cohort because they discontinued treatment. After applying additional exclusion criteria, the final historical cohorts included between 1823 and 1963 patients with inflammatory arthritis treated with originator etanercept; the policy cohort contained 1694 patients. Among 2655 patients included in this project, 24% (626) were included in one cohort only, and 40% (1067) were included in all four cohorts. The median age of the patients in each cohort ranged from 59 to 61 years, and most were female (60.0%–62.9%) (Table 2). The most common diagnosis was rheumatoid arthritis (58.8%–63.1%), followed by psoriatic arthritis (12.6%–17.7%).

Main outcomes

For drug utilizations, we detected a transient increase (up to + 3.0%) in the cumulative incidence difference in the first and second refills of etanercept during follow-up (Fig. 2). The likelihood ratio threshold of > 7.1 was exceeded during days 121 to 261 for the first refill, and day 222 for the second refill. No difference was observed in the cumulative incidence of the third and the fourth refills. By the end of the six-month transition period, 65.1% (1102) of the patients in the policy cohort had switched to a biosimilar version of etanercept, and 88.1% (1493) did so by the end of the one-year follow-up period. Trends in switching to a different bDMARD were similar between the policy and historical cohorts. Between 8.2% and 9.7% (149–183) of the patients in the historical cohorts and 9.6% (162) of the patients in the policy cohort switched to a different bDMARD by the end of the one-year follow-up.

Fig. 2
figure 2

Rapid monitoring of refills of biologic disease-modifying anti-rheumatic drugs following launch of the Biosimilars Initiative. Cumulative incidence of first (A), second (B), third (C) and fourth (D) etanercept refills, first refill of an etanercept biosimilar (E), and first refill of a different (non-etanercept) biologic, biosimilar, or targeted synthetic disease-modifying anti-rheumatic drug (F) during one year of follow-up. Periods with likelihood ratios of 7.1 or higher are shaded. Likelihood ratios were not estimated during the first 31 days of follow-up due to instability in likelihood ratios caused by small numbers

Full size image

For visits to physicians (Fig. 3), a transient increase of up to + 0.9% was observed in the cumulative incidence difference in first visits to a physician (any specialty, days 168 to 208 of follow-up). A transient increase of up to + 1.7% was detected in second visits (days 148 to 249). No difference was detected in third visits to a physician. Finally, we observed a transient increase of up to + 2.6% in the cumulative incidence difference in fourth visits to a physician (days 171 to 243). Differences in visits to a rheumatologist reached the predefined threshold. The maximal cumulative incidence difference for the first visit to a rheumatologist was + 12.8% (from day 86 onwards). The maximal difference for second visits to a rheumatologist was + 12.7% (from day 111 onwards). No difference was observed in the cumulative incidence of visits to an emergency department or admissions to a hospital between the policy cohort and the three historical cohorts (Fig. 4).

Fig. 3
figure 3

Rapid monitoring of visits to a physician following launch of the Biosimilars Initiative. Cumulative incidence of first (A), second (B), third (C) and fourth (D) visits to a physician, and first (E) and second (F) visits to a rheumatologist during one year of follow-up. Periods with likelihood ratios of 7.1 or higher are shaded. Likelihood ratios were not estimated during the first 31 days of follow-up due to instability in likelihood ratios caused by small numbers

Full size image
Fig. 4
figure 4

Rapid monitoring of hospital admissions and emergency department visits following launch of the Biosimilars Initiative. Cumulative incidence of admission to hospital (A) and visit to an emergency department (B) during one year of follow-up. No periods with likelihood ratios of 7.1 or higher were detected

Full size image

Secondary outcomes

Patterns of average cumulative quantity of etanercept (originator or biosimilar) dispensed per patient, and average cumulative number of days on csDMARDs, oral steroids, or NSAIDs were similar or lower in the policy cohort compared with the historical cohorts (Additional file 1: Figs. S1–S4).

Discussion

In this prospective study, we observed an intended increase in the use of biosimilars of etanercept following the launch of the Biosimilars Initiative as most users of originator etanercept switched to the biosimilar products during the six-month transition period. In the monitoring of health services utilization using a pre-defined likelihood ratio threshold of 7.1, we observed anticipated changes, such as an increase in visits to a physician (any specialty) and to a rheumatologist [19, 20, 22, 31]. Other changes were either minor and transient, i.e., a transient increase in etanercept refills, or the direction of the change in utilization suggested a possible benefit. Specifically, patients in the policy cohort had fewer days on csDMARDs, oral steroids, and NSAIDs, which may suggest better control of disease severity [17, 18].

This study has several strengths. First, we were able to monitor the policy and detect change in health services utilization as soon as data were available. We provided policymakers with monthly reports, each with only a one-month lag time. Using likelihood ratios instead of test statistics allowed us to update the analyses and compare utilization daily without having to correct for repeated measures and prior knowledge. A particular strength of this study is the use of a province-wide, population-based dataset that includes data collected systematically and prospectively. Inherent limitations of this study are the absence of a control for possible differences between cohorts, as well as possible correlation between observations of patients included in more than one cohort. Controlling for covariance between cohorts could have caused the likelihood ratios to increase, and cumulative incidence differences with likelihood ratios less than 7.1 would have triggered a signal. The use of administrative data for research also has limitations, including inaccuracies in diagnosis or adherence to drugs, and the absence of information on predictors such as disease severity or smoking.

Several other studies examined the effect of a non-medical switch from originator etanercept to a biosimilar, many of which focused on treatment discontinuation [9, 10, 21, 23, 24, 32,33,34,35,36,37,38]. A single study from Denmark examined the change in health services utilization after implementation of a mandatory non-medical switching policy for etanercept [22]. The Danish study found that the use and costs of outpatient services increased after switching patients from originator etanercept to a biosimilar, whereas costs of admissions and drugs decreased. Increases in visits to a physician were also observed in infliximab studies from Italy and Turkey [31, 39]. A cohort study from Italy found an 83% increase in visits to specialists, especially rheumatologists, in patients who switched to the biosimilar infliximab [31]. In a crude analysis from Turkey, health services costs were significantly higher in outpatient settings (P = 0.005) for patients who switched to biosimilar infliximab compared with those who continued with originator infliximab [39]. In our study, we found that switching from the originator etanercept to biosimilar products was associated with a transient increase in visits to a physician of any specialty, which diminished within a few weeks of the end of the transition period. It is possible that this increase in physician visits was in patients seeking to discuss treatment options before the switch. An increase in visits after switching, on the other hand, may have indicated unintended negative impacts of a policy. Further research with a design similar to the Danish studies [22, 40, 41] could provide a better understanding of this change in British Columbia.

Conclusions

Using rapid monitoring of drug and health services utilization, we were able to provide policymakers in British Columbia with real-time data on the impact of the Biosimilars Initiative for users of etanercept. We did not find permanent unintended changes in health services utilization, which suggests that switching to the biosimilar etanercept had minimal impacts on patient health. Additional research on clinical outcomes is recommended to strengthen the evidence that no long-term unintended negative health impacts are associated with switching from originator etanercept to its biosimilars.

Availability of data and materials

The authors do not have permission to share data from this study. The data that support the findings of this study are available from PopData BC (https://www.popdata.bc.ca/), but restrictions apply to the availability of these data, which were used under licence for the current study, and so are not publicly available.

Abbreviations

BC:

British Columbia

bDMARD:

Biologic disease-modifying anti-rheumatic drug

csDMARD:

Conventional synthetic disease-modifying anti-rheumatic drug

NSAIDs:

Nonsteroidal anti-inflammatory drugs

tsDMARD:

Targeted synthetic disease-modifying anti-rheumatic drug

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Acknowledgements

We thank Tracey Hooper and Ellen Reynolds for editing assistance. The BC Ministry of Health approved access to and use of BC data facilitated by Population Data BC for this study. All inferences, opinions, and conclusions drawn in this manuscript are those of the authors, and do not reflect the opinions or policies of the Data Stewards. British Columbia data sources were as follows (https://www2.gov.bc.ca/gov/content/health/conducting-health-research-evaluation/data-access-health-data-central): British Columbia Ministry of Health [creator] (2020): Medical Services Plan (MSP) Payment Information File. BC Ministry of Health [publisher]. MOH (2019); British Columbia Ministry of Health [creator] (2020): PharmaNet. BC Ministry of Health [publisher]. Data Stewardship Committee (2019); Canadian Institute for Health Information [creator] (2020): National Ambulatory Care Reporting System. BC Ministry of Health [publisher]. MOH (2019); Canadian Institute for Health Information [creator] (2020): Discharge Abstract Database (Hospital Separations). BC Ministry of Health [publisher]. MOH (2019); British Columbia Ministry of Health [creator] (2020): Consolidation File (MSP Registration & Premium Billing). BC Ministry of Health [publisher]. MOH (2019).

Funding

This project was funded by the British Columbia Ministry of Health, Pharmaceutical, Laboratory & Blood Services Division as part of a plan for evaluating the impact of a change in coverage for biosimilar medications. All inferences, opinions, and conclusions drawn in this manuscript are those of the authors, and do not reflect the opinions or policies of the British Columbia Ministry of Health.

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Authors and Affiliations

  1. Department of Anesthesiology, Pharmacology and Therapeutics, University of British Columbia, 2176 Health Sciences Mall, Vancouver, BC, V6T 1Z3, Canada

    Anat Fisher, Jason D. Kim, Greg Carney & Colin Dormuth

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  1. Anat Fisher
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  2. Jason D. Kim
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  3. Greg Carney
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  4. Colin Dormuth
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Contributions

AF, CD and GC made substantial contributions to the conception and the design of the work; AF and JDK were responsible for the acquisition and analysis of the data; AF, JDK, GC, and CD contributed to the interpretation of data. AF and JK prepared the tables and figures of the manuscript. AF wrote a first draft of the manuscript. AF, JDK, GC and CD reviewed and approved the manuscript. All authors have agreed both to be personally accountable for the author's own contributions and to ensure that questions related to the accuracy or integrity of any part of the work, even ones in which the author was not personally involved, are appropriately investigated, resolved, and the resolution documented in the literature. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Anat Fisher.

Ethics declarations

Ethics approval and consent to participate

All procedures performed in this study were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards. The study protocol was approved by the University of British Columbia Clinical Research Ethics Board (UBC CREB number H19-02377).

Consent for publication

Not applicable.

Informed consent

The consent was waived by the University of British Columbia Clinical Research Ethics Board (UBC CREB Number H19-02377).

Standards of reporting

The study is compliant with the STROBE standard of reporting checklist for observational studies and the SAMPL Guidelines for reporting of basic statistical analyses.

Competing interests

The authors declare that they have no competing interests.

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Supplementary Information

Additional file 1.

Supplementary Table 1. Cohorts construction: exclusion criteria. Supplementary Table 2. Drugs by therapeutic group. Supplementary Figure 1. Cumulative quantity of etanercept (originator or biosimilar) dispensed (mg per patient) over the follow-up period, by cohort. Supplementary Figure 2. Cumulative number of days on conventional synthetic disease modifying anti-rheumatic drugs (csDMARDs) per patient, over the follow-up period, by cohort. Supplementary Figure 3. Cumulative number of days on oral steroids per patient, over the follow-up period, by cohort. Supplementary Figure 4. Cumulative number of days on nonsteroidal anti-inflammatory drugs (NSAIDs) per patient, over the follow-up period, by cohort.

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Fisher, A., Kim, J.D., Carney, G. et al. Rapid monitoring of health services use following a policy to switch patients from originator to biosimilar etanercept—a cohort study in British Columbia. BMC Rheumatol 6, 5 (2022). https://doi.org/10.1186/s41927-021-00235-x

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Keywords

  • Arthritis, psoriatic
  • Arthritis, rheumatoid
  • Biosimilar pharmaceuticals
  • Drug switching
  • Etanercept
  • Health policy
  • Insurance coverage
  • Spondylitis, ankylosing

BMC Rheumatology

ISSN: 2520-1026

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