Adherence to tyrosine kinase inhibitors among Medicare Part D beneficiaries with chronic myeloid leukemia

Imatinib Adherence and Persistence in Patients with Chronic Myeloid Leukemia in Belgium: Evidence from Real-World Data

Purpose

Imatinib adherence and persistence are key components of the successful treatment of Chronic Myeloid Leukemia (CML). In Belgium, there is no study assessing these behaviors at a national level. Our study aimed to provide the first nationwide measure and to identify associated pharmacy-based predictors (age, gender, comorbidities). We also assessed mortality and transplantation incidence according to adherence status.

Methods

Based on medico-administrative database linkage, we identified a retrospective Belgian cohort of 1194 patients diagnosed with CML between 2004 and 2016 and treated with imatinib. Adherence was measured over 24 months, considering the proportion of days covered (PDC). Persistence was measured as the time until discontinuation (gap of ≥90 days). Multivariable Poisson regression models with robust standard error were conducted to identify predictors associated with adherence (≥90% PDC). To identify factors associated with persistence, a multivariable Cox regression was performed.

Results

At six months, 60.3% of patients were adherent, declining to 41.5% at 12 months, and to 30.1% at two-year follow-up (n=998). Adherence was greater at a younger age (eg 31-40 years vs ≥75 years, adjusted prevalence ratio (aPR) 1.73; 95% confidence interval (CI): 1.09-2.77) and among patients with no comorbidity (0 vs ≥2 comorbidities (aPR 1.56; 95% CI: 1.11-2.19). The median persistence was 334.5 days (Q1:200-Q3:505.5); persistence at 24 months was 83.6% (n=998). Only age was associated with higher risk of discontinuation, with adjusted hazard ratio (aHR) of 6.05 for patients ≥75 years (95% CI: 5.52-6.58). Transplants and deaths mainly occurred in patients defined as non-adherent at 24 months.

Conclusion

This Belgian nationwide representative study revealed a critical low level of imatinib adherence, which decreased over time even though persistence was high at six months. We pinpointed pharmacy-based predictors that were easily identifiable by health care stakeholders in order to undertake interventions to improve adherence.

Cost trends of metastatic renal cell carcinoma therapy: the impact of oral anticancer agents and immunotherapy

BACKGROUND

Immunotherapy (IO) and oral anticancer agents (OAA) have improved outcomes for metastatic renal cell carcinoma (mRCC), but there is a need to understand real-world costs from the perspective of payers and patients.

METHODS

We used retrospective fee-for-service Medicare 100% claims data to study patients diagnosed with mRCC in 2015-2019. We identified initial treatment type and costs (the year after diagnosis) and analyzed differences in monthly and 12-month costs over time and between OAA, IO, and combination groups and the association between Out-Of-Pocket (OOP) costs and adherence.

RESULTS

We identified 15 407 patients with mRCC (61% male; 85% non-Hispanic White). A total of 6196 received OAA, IO, or combination OAA/IO as initial treatment. OAA use decreased (from 31% to 11%) with a simultaneous rise in patients receiving IO (3% to 26%) or combination IO/OAA therapy (1% to 11%). Medicare payments for all patients with mRCC increased by 41%, from $60 320 (95% confidence interval = 58 260 to 62 380) in 2015 to $85 130 (95% confidence interval = 82 630 to 87 630) in 2019. Payments increased in patients who received OAA, IO, or combination OAA/IO but were stable in those with other/no treatment. Initial higher OOP responsibility ($200-$1000) was associated with 13% decrease in percent days covered in patients receiving OAA in the first 90 days of treatment, compared with those whose OOP responsibility was less than $200.

CONCLUSION

From 2015 to 2019, costs for Medicare patients with mRCC rose substantially due to more patients receiving IO or IO/OAA combined therapy and increases in costs among those receiving those therapies. Increased OOP costs was associated with decreased adherence.

Impact of initiating oral anticancer agents for leukemia on adherence to medications for multiple chronic conditions

INTRODUCTION

Increased use of oral anticancer agents (OAAs) has empowered adults with chronic lymphocytic leukemia (CLL) and chronic myelogenous leukemia (CML) to manage their therapy, but this shift may complicate medication use, particularly among adults with multiple chronic conditions (MCC).

METHODS

This retrospective cohort study used 2013-2018 commercial and Medicare claims data to assess medication use in adults with CML or CLL. To be included, patients must have been at least 18 years old, diagnosed with and had 2+ claims for an OAA indicated for either CML or CLL, continuously enrolled 12 months before and after OAA initiation, and treated for (2+ fills) at least two select chronic conditions. Proportion of days covered (PDC) determined medication adherence and was compared for 12 months before and after OAA initiation by Wilcoxon signed-rank tests, McNemar's tests, and difference-in-differences models.

RESULTS

Among CLL patients, mean OAA adherence in the first year of therapy was 79.8% (SD: 21.1) and 74.7% (SD: 24.9) for commercial and Medicare patients, respectively; mean adherence for CML patients was 84.5% (SD: 15.8) and 80.1% (SD: 20.1) for commercial and Medicare patients, respectively. Adherence and the proportion adherent (PDC ≥ 80%) to comorbid therapies was generally unchanged following OAA initiation. Consistently unremarkable changes in MCC adherence were observed in 12-month difference-in-differences models, but significant decline was observed in MCC adherence after 6 months of OAA use.

CONCLUSIONS

OAA initiation among adults with CML or CLL was not associated with significant, initial changes to adherence to medications for chronic diseases.

Maximizing the Value of Chronic Myeloid Leukemia Management Using Tyrosine Kinase Inhibitors in the USA: Potential Determinants and Consequences of Healthcare Resource Utilization and Costs, with Proposed Optimization Approaches

BACKGROUND AND OBJECTIVES

The introduction and widespread use of effective and well-tolerated tyrosine kinase inhibitors for chronic myeloid leukemia have been associated with marked increments in life expectancy and disease prevalence. These changes have been accompanied by elevations in costs of tyrosine kinase inhibitors, which typically must be taken ad vitam after diagnosis and tend to be more expensive than medical therapies for many other hematologic malignancies. The aims of this review included evaluating the potential associations and consequences of healthcare resource utilization and costs of tyrosine kinase inhibitors and possible clinical management approaches to mitigate them.

METHODS

A PubMed search of English-language US study reports was conducted that covered the interval of 2001 (US approval of imatinib) through 17 April, 2023 augmented by manual reviews of published bibliographies from the referenced articles and searches of other databases: Google Scholar and Scopus.

RESULTS

On the basis of this analysis of chiefly real-world evidence (administrative claims database studies), healthcare resource utilization and costs can be considered indicators of ineffective chronic myeloid leukemia management, including potentially mutation-driven treatment resistance and costly tyrosine kinase inhibitor switches, non-adherence, and suboptimal tolerability, which may culminate in the progression of disease from the chronic to an accelerated or blast phase, with additional excess costs. Costs of tyrosine kinase inhibitors are also associated with reduced treatment adherence. At a willingness-to-pay threshold of $50,000-$200,000 per quality-adjusted life-year, tyrosine kinase inhibitors can be considered cost effective from a US payer perspective. Potential clinical approaches to mitigate costs include regular molecular monitoring with proactive assessments of BCR::ABL1 gene mutations to avoid costly treatment switches, as well as interventions to enhance treatment adherence and tyrosine kinase inhibitor tolerability.

CONCLUSIONS

Healthcare resource utilization and costs of chronic myeloid leukemia care may be considered barometers of ineffective management, including mutation-driven tyrosine kinase inhibitor resistance and switching as well as non-adherence and intolerance. Future prospective research is warranted to help determine whether costs can be reduced and other treatment outcomes optimized via more proactive and effective diagnostic interventions (i.e., regular molecular monitoring and proactive mutational testing) and treatment approaches. The strengths and limitations of this review include its emphasis on observational research, which, on one hand, offers a naturalistic "real-world" perspective on current chronic myeloid leukemia management, but, on the other hand, is associational in nature and cannot be used to determine causality and/or its direction.

Older patients with chronic myeloid leukemia face suboptimal molecular testing and tyrosine kinase inhibitor adherence

Tyrosine kinase inhibitor (TKI) use is critical in the care of patients with chronic myeloid leukemia (CML). Quantitative polymerase chain reaction (qPCR) testing for BCR-ABL1 every 3 months during the first year of TKI treatment is recommended to assure achievement of milestone response goals. Real-world evidence for the patterns of qPCR monitoring and TKI adherence in the older patient population is lacking. Using the Surveillance, Epidemiology, and End Results-Medicare database, we identified 1192 patients aged ≥66 years (median age, 74 years) with newly diagnosed CML who were followed up for ≥13 months from TKI initiation. In total, 965 patients (81.0%) had ≥1 test, with 425 (35.7%) and 540 (45.3%) of the patients tested during 1, 2, and ≥3 quarters (optimal monitoring) of the first year from TKI initiation, respectively. In multivariable analysis, diagnosis in later years and influenza vaccination before diagnosis, a proxy for health care access, were associated with optimal qPCR monitoring. Use of low-income subsidy and residing in census tracts with the lowest socioeconomic status were associated with less optimal monitoring. Patients with optimal monitoring were 60% more likely to be TKI adherent (odds ratio, 1.60; 95% CI, 1.11-2.31; P = .01) and had improved 5-year survival (hazard ratio, 0.66; 95% CI, 0.49-0.90; P < .01) than those without such monitoring. In this large, real-world study of CML management patterns, many older patients had suboptimal molecular monitoring, which was associated with decreased TKI adherence and worse survival.

Oral Anticancer Agent (OAA) Adherence and Survival in Elderly Patients With Metastatic Renal Cell Carcinoma (mRCC)

OBJECTIVE

To examine real-world adherence to oral anticancer agents (OAAs) and its association with outcomes among Medicare beneficiaries with metastatic renal cell carcinoma (mRCC).

METHODS

SEER-Medicare retrospective cohort study of patients with metastatic renal cell carcinoma (mRCC) who received an OAA between 2007 and 2015. We examined A) adherence and B) overall and disease-specific 2-year survival landmarked at 3 months after OAA initiation. Adherence was assessed by calculating the proportion of days covered (PDC) within 3 months of OAA initiation, with adherent use being defined as PDC > 80%.

RESULTS

A total of 905 patients met study criteria, of whom 445 patients (49.2%) were categorized as adherent to initial OAA treatment. Adjusting for clinical and demographic factors revealed decreased odds of adherence associated with living within an impoverished neighborhood (OR 0.49, CI 0.0.33 - 0.74) and out-of-pocket costs > $200 (OR 0.68, CI 0.47-.98). Adherence was associated with improved 2-year survival in univariate analysis (logrank test, P = .01) and a non-significant trend toward an association with decreased all-cause (HR 0.87, CI 0.72 - 1.05) and RCC-specific survival (HR 0.84, CI 0.69 - 1.03) in multivariable analysis.

CONCLUSION

Local poverty levels and high out-of-pocket costs are associated with poor initial adherence to OAA therapy in Medicare beneficiaries with mRCC, which in turn, suggests a trend toward poor overall and disease-specific survival. Efforts to improve outcomes in the broader mRCC population should incorporate OAA adherence and economic factors.

Chronic Myeloid Leukemia: Part I-Real-World Treatment Patterns, Healthcare Resource Utilization, and Associated Costs in Later Lines of Therapy in the United States

Background: Despite advances in tyrosine kinase inhibitor (TKI) therapy for chronic myeloid leukemia in chronic phase (CML-CP), a sizeable proportion of patients with CML-CP remains refractory or intolerant to these agents. Objectives: Treatment patterns, healthcare resource utilization (HRU), and costs were evaluated among patients with CML who received third or later lines of therapy (3L+), a clinical population that has not been previously well-studied, with unmet treatment needs as TKI therapy has repeatedly failed. Methods: Adult patients with CML who received 3L+ were identified in the IBM® MarketScan® Databases (January 1, 2001-June 30, 2019) and the SEER-Medicare-linked database (January 1, 2006-December 31, 2016). Treatment patterns were observed from CML diagnosis. HRU and direct healthcare costs (payer's perspective, 2019 USD) were measured in a 3L+ setting. Results: Among 296 commercially insured patients with 3L+ (median age, 58.5 years; female, 49.7%), the median duration of first-line (1L), second-line (2L), and 3L therapy was 8.5, 4.2, and 8.3 months, respectively. The annual incidence rate during 3L+ was 3.4 for inpatient days, 30.8 for days with outpatient services, and 1.2 for emergency department visits. Mean per-patient-per-month (PPPM) total healthcare costs (pharmacy + medical costs) were $18 784 in 3L+, $15 206 in 3L, and $19 546 in 4L, with inpatient costs driving most of the difference between 3L and 4L (mean [3L] = $2528 PPPM, mean [4L] = $6847 PPPM). Among 53 Medicare-insured patients with 3L+ (median age, 72.0 years; female, 39.6%), the median duration of 1L, 2L, and 3L therapy was 9.7, 5.0, and 7.0 months, respectively. During 3L+, the annual incidence rate was 10.3 for inpatient days, 61.9 for days with outpatient services, and 1.5 for emergency department visits. Mean PPPM total healthcare costs were $14 311 in 3L+, $15 100 in 3L, and $16 062 in 4L. Discussion: Patients with CML receiving 3L+ rapidly cycled through multiple lines. Costs increased from 3L to 4L; in commercially insured patients, inpatient costs were responsible for most of the cost increase between 3L and 4L, underlying these patients' continued need for care. Conclusions: These findings support the need for better treatment options in patients with CML undergoing later lines of therapy.

Association between cognitive impairment and oral anticancer agent use in older patients with metastatic renal cell carcinoma

BACKGROUND

Kidney cancer is the fastest-growing cancer diagnosis in the developed world. About 16% of new cases are stage IV, which has a low five-year survival rate. Many patients with metastatic renal cell carcinoma (mRCC) are older and may have mild cognitive impairment or dementia (MCI/D). Given prior reports of patients with dementia initiating less cancer therapy and the importance of oral anticancer agents (OAAs) in mRCC treatment, we investigated the prevalence of preexisting MCI/D in patients with mRCC and their OAA use.

METHODS

SEER-Medicare patients were analyzed who were ≥65 years, diagnosed with mRCC between 2007 and 2015, and had Medicare part D coverage. Patterns and predictors of (a) OAA utilization within the 12 months following mRCC diagnosis and (b) adherence (percent of days covered [PDC] ≥ 80%) during the first 90 days following treatment initiation were assessed.

RESULTS

Of the 2792 eligible patients, 268 had preexisting MCI/D, and 907 initiated OAA treatment within 12 months of mRCC diagnosis. Patients with preexisting MCI/D were less likely to begin an OAA than those without MCI/D (fully-adjusted HR 0.53, 95% CI 0.38-0.76). Among OAA initiators, a preexisting MCI/D diagnosis did not alter the likelihood that a person would be adherent (adjusted RR 0.84, 95% CI 0.55-1.28).

CONCLUSIONS

Patients with preexisting MCI/D were half as likely to start an OAA during the year following mRCC diagnosis than patients without comorbid MCI/D. The 90-day adherence of OAA initiators was not significantly different between those with and without preexisting MCI/D. In light of this, clinicians should assess mRCC patients for cognitive impairment and take steps to optimize OAA utilization by those with MCI/D.

Predictors of adherence to oral anticancer medications: An analysis of 2010-2018 US nationwide claims

BACKGROUND: Various factors, including patient demographic and socioeconomic characteristics, patient out-of-pocket (OOP) costs, therapy-related factors, clinical characteristics, and health-system factors, can affect patient adherence to oral anticancer medications (OAMs). OBJECTIVE: To determine the proportion of patients initiating oral anticancer therapy who were adherent to OAMs and to identify significant predictors of adherence to OAMs, including patient OOP costs and patient demographics. METHODS: A retrospective cohort study was conducted using data from Optum Clinformatics Data Mart commercial claims database for 2010-2018. Patients with a new pharmacy claim for an OAM between July 1, 2010, and December 31, 2017, were followed for 6 months to ascertain their medication adherence, which was defined as a proportion of days covered value of at least 0.8. Average monthly patient OOP costs for OAM prescriptions were categorized as lower OOP costs (quartiles 1-3) and higher OOP costs (quartile 4). Separate multivariable logistic regressions were conducted to identify predictors of OAM nonadherence for each cancer type. RESULTS: Out of 37,938 patients with cancer, 51.9% were adherent to OAMs, with adherence ranging from 32.8% among those with liver cancer to 70.4% among those with brain tumor. The average monthly OOP costs of OAMs also differed by cancer type, ranging from $749 (SD = $1,014) among patients with blood cancer to $106 (SD = $439) among those with prostate cancer. Higher patient OOP costs were associated with higher odds of OAM nonadherence for many cancer types, including renal cancer (adjusted odds ratio [AOR] = 3.91; 95% CI = 2.80-5.47) and breast cancer (AOR = 1.26; 95% CI = 1.13-1.41). Additionally, patients with inpatient hospitalizations during the 6 months following OAM initiation had significantly higher odds of OAM nonadherence for all cancer types except for stomach cancer. Among patients with stomach cancer, male sex was associated with lower odds of OAM nonadherence (AOR = 0.60; 95% CI = 0.37-0.97). Among patients with renal or stomach cancer, those who had Medicare low-income subsidy had higher odds of OAM nonadherence compared with those with commercial insurance coverage. Among patients with blood cancers, Black and Hispanic patients had higher odds of OAM nonadherence compared with White patients (AOR = 1.48; 95% CI = 1.25-1.75 and AOR = 1.38; 95% CI = 1.13-1.68, respectively). CONCLUSIONS: Overall adherence to OAMs was suboptimal, and for several cancer types, adherence was worse among patients with higher OOP costs, those who were hospitalized, and those who received Medicare low-income subsidy. Policies addressing cost and access to OAMs and health-system strategies to address barriers to the effective use of OAMs are needed to improve patient access to these vital medications. DISCLOSURES: This study was funded by joint funding from the Pharmacy Quality Alliance and the National Pharmaceutical Council (NPC). Drs Vyas and Kogut were partially supported by this joint funding. Mr Descoteaux was supported by this joint funding for performing data analysis. The content is solely the responsibility of the authors and does not necessarily represent the official views of PQA or NPC. Dr Campbell completed this work during his employment at Pharmacy Quality Alliance; he is now an employee of Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, NJ.

Patient, provider, and hospital factors associated with oral anti-neoplastic agent initiation and adherence in older patients with metastatic renal cell carcinoma

INTRODUCTION

Oral anti-neoplastic agents (OAAs) for metastatic renal cell carcinoma (mRCC) are associated with increased cancer-specific survival. However, racial disparities in survival persist and older adults have the lowest rates of cancer-specific survival. Research from other cancers demonstrates specialty access is associated with high-quality cancer care, but older adults receive cancer treatment less often than younger adults. We therefore examined whether patient, provider, and hospital characteristics were associated with OAA initiation, adherence, and cancer-specific survival after initiation and whether race, ethnicity, and/or age was associated with an increased likelihood of seeing a medical oncologist for diagnosis of mRCC.

PATIENTS AND METHODS

We used Surveillance, Epidemiology, and End Results (SEER)Medicare data to identify patients ≥65 years of age who were diagnosed with mRCC from 2007 to 2015 and enrolled in Medicare Part D. Insurance claims were used to identify receipt of OAAs within twelve months of metastatic diagnosis, calculate proportion of days covered, and to identify the primary cancer provider and hospital. We examined provider and hospital characteristics associated with OAA initiation, adherence, and all-cause mortality after OAA initiation.

RESULTS

We identified 2792 patients who met inclusion criteria. Increased OAA initiation was associated with access to a medical oncologist. Patients were less likely to begin OAA treatment if their primary oncologic provider was a urologist (hazard ratio [HR] 0.62; 95% confidence interval [CI] 0.49-0.77). Provider/hospital characteristics were not associated with differences in OAA adherence or mortality. Patients who started sorafenib (odds ratio [OR] 0.50; 95% CI 0.29-0.86), were older (aged >81 OR 0.56; 95% CI 0.34-0.92), and those living in high poverty ZIP codes (OR 0.48; 95% CI 0.29-0.80) were less likely to adhere to OAA treatment. Furthermore, provider characteristics did not account for differences in mortality once an OAA was initiated. Last, only age > 81 years was statistically and clinically associated with a decreased relative risk of seeing a medical oncologist (risk ratio [RR] 0.87; CI 0.82-0.92).

CONCLUSION

Provider/hospital factors, specifically, being seen by a medical oncologist for mRCC diagnosis, are associated with OAA initiation. Older patients were less likely to see a medical oncologist; however, race and/or ethnicity was not associated with differences in seeing a medical oncologist. Patient factors are more critical to OAA adherence and mortality after OAA initiation than provider/hospital factors.

The Oncology Care Model and Adherence to Oral Cancer Drugs: A Difference-in-Differences Analysis

BACKGROUND

Adherence to oral cancer drugs is suboptimal. The Oncology Care Model (OCM) offers oncology practices financial incentives to improve the value of cancer care. We assessed the impact of OCM on adherence to oral cancer therapy for chronic myelogenous leukemia (CML), prostate cancer, and breast cancer.

METHODS

Using 2014-2019 Medicare data, we studied chemotherapy episodes for Medicare fee-for-service beneficiaries prescribed tyrosine kinase inhibitors (TKIs) for CML, antiandrogens (ie, enzalutamide, abiraterone) for prostate cancer, or hormonal therapies for breast cancer in OCM-participating and propensity-matched comparison practices. We measured adherence as the proportion of days covered and used difference-in-difference (DID) models to detect changes in adherence over time, adjusting for patient, practice, and market-level characteristics.

RESULTS

There was no overall impact of OCM on improved adherence to TKIs for CML (DID = -0.3%, 90% confidence interval [CI] = -1.2% to 0.6%), antiandrogens for prostate cancer (DID = 0.4%, 90% CI = -0.3% to 1.2%), or hormonal therapy for breast cancer (DID = 0.0%, 90% CI = -0.2% to 0.2%). Among episodes for Black beneficiaries in OCM practices, for whom adherence was lower than for White beneficiaries at baseline, we observed small improvements in adherence to high cost TKIs (DID = 3.0%, 90% CI = 0.2% to 5.8%) and antiandrogens (DID = 2.2%, 90% CI = 0.2% to 4.3%).

CONCLUSIONS

OCM did not impact adherence to oral cancer therapies for Medicare beneficiaries with CML, prostate cancer, or breast cancer overall but modestly improved adherence to high-cost TKIs and antiandrogens for Black beneficiaries, who had somewhat lower adherence than White beneficiaries at baseline. Patient navigation and financial counseling are potential mechanisms for improvement among Black beneficiaries.

Trend in Tyrosine Kinase Inhibitor Utilization, Price, and Out-of-Pocket Costs in Patients With Chronic Myelogenous Leukemia

PURPOSE

Treatment of chronic myelogenous leukemia (CML) with tyrosine kinase inhibitors (TKIs) has improved survival but is associated with significant financial burden. We measured the annual trend in TKI utilization, Medicare gross payment, and patient out-of-pocket (OOP) expenditure from 2007 to 2016.

METHODS

We used SEER linked to Medicare part-D claims data to identify prevalent CML cases from 2007 to 2016. TKI utilization was measured as the proportion of cases with at least one TKI fill in each year. Average TKI gross payment and median per-member per-month OOP expenditure were calculated from claims data and plotted annually from 2007 to 2016. Year-to-year percent change in gross payment and OOP expenditure was compared with inflation indices.

RESULTS

The cohort included 3,189 CML cases with at least one TKI claim. The proportion of prevalent patients with a TKI fill in a year increased from 17.9% in 2007 to 52.8% in 2015. The average annual gross payment per 30-day supply of a TKI increased by an average of 12.8% throughout the period from $9,000 to $10,000 US dollars in 2016. There was no increasing trend in median OOP expenditure per 30-day supply, which varied between $450 and $600 US dollars.

CONCLUSION

Rising TKI use and TKI drug prices place considerable financial pressure on Medicare part-D insurers. Although there was no increasing trend in OOP expenditure, it may be burdensome for Medicare patients who are likely retired on a fixed income. Our findings support legislation that mitigates increasing drug prices to protect the Medicare system and its beneficiaries.

Treatment utilization patterns of newly initiated oral anticancer agents in a national sample of Medicare beneficiaries

BACKGROUND: Few studies have examined oral anticancer treatment utilization patterns among Medicare beneficiaries. OBJECTIVE: To assess treatment utilization patterns of newly initiated oral anticancer agents across national samples of Medicare beneficiaries for 5 cancer types: chronic myeloid leukemia (CML), multiple myeloma (MM), metastatic prostate cancer (mPC), metastatic renal cell carcinoma (mRCC), and metastatic breast cancer (mBC). METHODS: This retrospective claims analysis used 100% Medicare Chronic Condition Data Warehouse (CCW) Parts A, B, and D files from 2011 to 2014 (for CML, MM, mPC, and mRCC patients) and a 5% random fee-for-service sample from 2011 to 2013 (for mBC patients). Outcomes of interest were the number of 30-day supply prescriptions, adherence, and discontinuation of newly initiated (ie, index) oral anticancer agents indicated for each of the cancers. Adherence was calculated with both the "traditional" proportion of days covered (PDC) approach, measured over a fixed 1-year period or until hospice/death, and a "modified" PDC approach, measured over the time between the first and last fill of the index oral anticancer agent. Patients with PDC of at least 0.80 were deemed as being adherent. Discontinuation was defined as the presence of a continuous 90-day gap in the availability of days supply of the index oral anticancer agent. RESULTS: Our study included 1,650, 7,461, 6,998, 2,553, and 79 patients for CML, MM, mPC, mRCC, and mBC, respectively. Patients with mRCC had the highest proportion of patients with only 1 fill of their index anticancer agent (28%) followed by mBC (17%), MM (17%), mPC (12%), and CML (12%). Patients with CML had the highest mean (SD) number of 30-day supply equivalent prescriptions (8.3 [4.6]), followed by patients with mPC (6.5 [4.2]), MM (5.7 [4.1]), mBC (4.7 [3.2]), and mRCC (4.5 [3.9]). Using the modified PDC measured between the first and last fills, approximately three-quarters of patients with CML (74%), mRCC (71%), and mBC (70%) were adherent to the index oral anticancer agent. Adherence was highest for patients with mPC (87%) and lowest for patients with MM (58%). The percentage of patients defined as adherent to the index oral anticancer agent decreased for all cancers when using the traditional PDC measure over a fixed 1-year period: CML (54%), MM (35%), mPC (48%), mRCC (37%), and mBC (22%). Rates of discontinuation for patients in our sample were 32% (CML), 38% (mPC), 42% (mRCC), 48% (MM), and 58% (mBC). CONCLUSIONS: Between 13% and 42% of Medicare patients were nonadherent between the first and last fill of their newly initiated oral anticancer therapies across a range of cancers. This study provides a valuable benchmark for stakeholders seeking to measure and improve adherence to oral anticancer agents in Medicare patients. DISCLOSURES: This study was supported by Humana, Inc. (Louisville, KY). The sponsor played a role in the development of the study protocol, interpretation of results, and revisions of the manuscript. The sponsor was not involved in data analysis. Brown is employed by Humana, Inc., and Ward was employed by Humana, Inc., from research inception through initial drafts. Doshi has served as an advisory board member or consultant for Allergan, Ironwood Pharmaceuticals, Janssen, Kite Pharma, Merck, Otsuka, Regeneron, Sarepta, Sage Therapeutics, Sanofi, and Vertex and has received research funding from AbbVie, Biogen, Humana, Janssen, Novartis, PhRMA, Regeneron, Sanofi, and Valeant. Her spouse holds stock in Merck and Pfizer. All other authors have no financial conflicts of interest to report.

Adherence to PARP inhibitor therapy among women with ovarian cancer

OBJECTIVE

The objective of this study was to evaluate medical adherence for patients with ovarian cancer who initiated treatment with a PARP inhibitor therapy, and to identify factors associated with nonadherence.

METHODS

We used the MarketScan Database to identify ovarian cancer patients who initiated PARP inhibitor therapy between January 1, 2008 and December 31, 2017. The primary outcome was adherence defined as ≥ 80% proportion of days covered (PDC). A secondary outcome included adherence assessed using the medication possession ratio (MPR). Multivariable logistic regression analysis was performed to assess relation between PDC and explanatory variables. Sensitivity analysis was performed to evaluate impact of dose-adjustments and toxicity-related delays on adherence.

RESULTS

Among 170,976 patients diagnosed with ovarian cancer, 151 patients met inclusion criteria. The median time from diagnosis to initiating therapy was 33 months. Overall, 40 (26.5%) were non-adherent based on a PDC less than 80%. Non-adherent patients were more likely to receive niraparib and have a longer duration of therapy (p < 0.05). We found no significant impact of age, comorbidities, insurance plan, or year of PARP inhibitor initiation on non-adherence. In a sensitivity analysis to assess different definition of adherence, non-adherence ranged from 11.3% to 41.1%. When accounting for possible dose-adjustments, 21.2% of patients were non-adherent.

CONCLUSION

This population based study of ovarian cancer patients found that a quarter of patients may be sub-optimally adherent to PARP inhibitor therapy. Future research should focus on identification of patients at risk for nonadherence and interventions to lower nonadherence among these patients.

Optimal Management of Chronic Lymphocytic Leukemia and Economic Constraints

ABSTRACT

In this article, we carry out an overview on the management options available for chronic lymphocytic leukemia (CLL) patients and discuss possible treatment decisions, taking into account the issue of sustainability and availability. Targeted agents have shown to be superior compared with chemoimmunotherapy (CIT) in terms of progression-free survival in high-risk CLL. In the majority of studies, however, continuous treatment was compared with fixed-duration CIT and no overall survival or progression-free survival-2 (time from randomization to second progression or death) advantage could be documented. Meanwhile, a substantial financial burden on both patients and payers has raised issues about affordability and adherence to treatment. Therefore, value-based pricing of new drugs has been used to set up price negotiation policies in several countries, and fixed-duration therapy has shown to be less costly than continuous treatment. Thus, CIT continues to have a role in the treatment of CLL patients with a favorable genetic profile, that is, with a mutated IGHV gene profile and a wild-type TP53. Targeted treatment represents the preferred choice in patients with an unmutated IGHV gene configuration and/or a TP53 disruption, provided that adherence to treatment is guaranteed and bearing in mind that should costly drugs not be available for frontline treatment, new agents can be very effective as first salvage treatment.

Interventions to Improve Adherence to Tyrosine Kinase Inhibitors in Chronic Myeloid Leukemia: A Systematic Review

BACKGROUND

Lack of adherence to tyrosine kinase inhibitors (TKIs) is a significant problem resulting in incomplete cytogenetic response and increased mortality in patients with chronic myeloid leukemia (CML). Few studies have been conducted on interventions to improve adherence. The authors conducted a systematic review to explore studies that examined the impact of strategies to improve TKI adherence among individuals with CML.

METHODS

The first 2 authors completed a systematic literature review according to the guidelines in Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA). Studies (n=2633) conducted between 1980 and 2019 were identified through 3 databases and examined for inclusion/exclusion criteria.

RESULTS

Fourteen studies were identified which met the eligibility criteria. The studies only examined adherence to imatinib, dasatinib, or nilotinib. Ten of the 14 used large data sets (commercial health insurance plans or Surveillance Epidemiology and End Results [SEER] data) for analysis. The majority of the studies used a cohort design. Adherence was defined and measured in a variety of ways with most studies using 80% or higher as adequate adherence. Strategies not focused on health care costs used a multidisciplinary team approach.

CONCLUSION

Development of evidence to improve treatment adherence to TKIs for CML have relied on large data sets rather than prospective trials. Current studies lack patient focused interventions.

Meta-Analysis of Gastrointestinal Adverse Events from Tyrosine Kinase Inhibitors for Chronic Myeloid Leukemia

Simple Summary

Philadelphia chromosome positive (Ph+) chronic myeloid leukemia (CML) patients treated with tyrosine kinase inhibitors (TKIs) often suffer from adverse events that negatively impact quality of life and patient therapy compliance. The purpose of this meta-analysis was to assess and compare the incidence of gastrointestinal adverse events (GI AEs), particularly in second-generation TKIs, in a very large, heterogeneous CML population. Results illustrate significant differences in GI AE profiles between different TKIs but minimal differences in patient survival. TKI AE profile should be a primary consideration when choosing an optimal, personalized TKI therapy for chronic phase CML patients without resistant mutations.

Abstract

Tyrosine kinase inhibitors (TKIs) are the frontline therapy for BCR-ABL (Ph+) chronic myeloid leukemia (CML). A systematic meta-analysis of 43 peer-reviewed studies with 10,769 CML patients compared the incidence of gastrointestinal adverse events (GI AEs) in a large heterogeneous CML population as a function of TKI type. Incidence and severity of nausea, vomiting, and diarrhea were assessed for imatinib, dasatinib, bosutinib, and nilotinib. Examination of combined TKI average GI AE incidence found diarrhea most prevalent (22.5%), followed by nausea (20.6%), and vomiting (12.9%). Other TKI GI AEs included constipation (9.2%), abdominal pain (7.6%), gastrointestinal hemorrhage (3.5%), and pancreatitis (2.2%). Mean GI AE incidence was significantly different between TKIs (p < 0.001): bosutinib (52.9%), imatinib (24.2%), dasatinib (20.4%), and nilotinib (9.1%). Diarrhea was the most prevalent GI AE with bosutinib (79.2%) and dasatinib (28.1%), whereas nausea was most prevalent with imatinib (33.0%) and nilotinib (13.2%). Incidence of grade 3 or 4 severe GI AEs was ≤3% except severe diarrhea with bosutinib (9.5%). Unsupervised clustering revealed treatment efficacy measured by the complete cytogenetic response, major molecular response, and overall survival is driven most by disease severity, not TKI type. For patients with chronic phase CML without resistance, optimal TKI selection should consider TKI AE profile, comorbidities, and lifestyle.

Monitoring and Improving Adherence to Tyrosine Kinase Inhibitors in Patients with Chronic Myeloid Leukemia: A Systematic Review

PURPOSE

Suboptimal adherence to tyrosine kinase inhibitors (TKIs) is a widely recognized issue compromising the disease control and survival of patients with chronic myeloid leukemia (CML). A recently published review by Heiney et al reported inconclusive findings on the effects of a broad range of adherence enhancing interventions. The current systematic review aimed to identify studies that evaluated adherence-enhancing interventions implemented by healthcare professionals and determine their effect on CML patients' medication adherence and clinical outcomes.

METHODS

A systematic literature search was performed in 5 databases for articles published between 2002 and 2021. Studies that compared adherence enhancing interventions implemented by healthcare professionals with a comparison group were included. Relevant data on study characteristics were extracted. Medication adherence and clinical outcomes between intervention and control arms were compared.

RESULTS

Nine studies were included in two randomised controlled trials, four cohort studies, and three before-and-after comparison studies. All the included studies incorporated complex interventions, including intensive education or consultation with pharmacists, nurses or multidisciplinary team, in combination with one or more other strategies such as structured follow-up, written materials or video, psychotherapy, medication reminder or treatment diary, with the overall goal of monitoring and improving TKI adherence. Most (7 out of 9) studies demonstrated significantly better adherence to TKIs in the intervention group than the comparison group. The relative proportion of participants who adhered to TKIs ranged from 1.22 to 2.42. The improvement in the rate of TKI doses taken/received ranged from 1.5% to 7.1%. Only one study showed a significant association between intervention and clinical outcomes, with a 22.6% higher major molecular response rate and improvement in 6 out of 20 subscales of health-related quality-of-life.

CONCLUSION

Complex interventions delivered by healthcare professionals showed improvement in adherence to TKIs in CML patients. Further studies are required to clarify the cost-effectiveness of adherence-enhancing interventions.

Expenditures for First- and Second-Generation Tyrosine Kinase Inhibitors Before and After Transition of Imatinib to Generic Status

Importance

Imatinib introduced a paradigm shift in the treatment of patients with chronic myeloid leukemia (CML), allowing a lifespan that is almost comparable to the general population. However, the health care expenditures associated with imatinib have increased steadily since its introduction in 2001. Since the generic market entry of imatinib on February 1, 2016, it became possible to determine the effect of generic entry on the health care expenditures associated with imatinib, along with the concurrent pricing trends of second-generation tyrosine kinase inhibitors (TKIs).

Objective

To compare health care expenditure related to imatinib treatment for patients with CML prior to its generic status with expenditures after, in a real-world setting.

Design, Setting, and Participants

A retrospective cohort study using data from the Truven Health MarketScan Database was carried out including 1301 commercially insured patients or patients with Medicaid between the ages of 18 and 64 years with a CML diagnosis between September 1, 2014 and December 31, 2017. A single interrupted time series (ITS) method was used to evaluate monthly expenditures associated with imatinib for the health plan from September 1, 2014 to December 31, 2017, with imatinib switching to generic on February 1, 2016, as the interruption. The initial 6-month period postinterruption was excluded to allow for the new price structure to stabilize. Nilotinib and dasatinib were evaluated using a comparative ITS design. The analysis took place between September 1, 2014 to December 31, 2017.

Main Outcomes and Measures

Commercial and Medicaid health plan expenditure and patient cost responsibility for 30-day blocks per patient for imatinib, dasatinib, and nilotinib were calculated from September 1, 2014 through December 31, 2017. Pricing was adjusted via 2017 consumer price index for medical services.

Results

The sample included a total of 1301 patients (1102 commercially insured and 199 insured through Medicaid) with a median (range) age at diagnosis of 50 (18-62) years for commercially insured patients and 50 (47-52) years for patients with Medicaid. Of the 1301 patients, 704 (54.1%) were men. There was a significant pregeneric increase in expenditure (commercially insured: $143 per patient per month, P < .001; Medicaid: $152 per patient per month, P = .001). There was a significant reduction over the 6-month interruption period (February 2016 through August 2016) between the pregeneric and generic phase (commercial: $-3097 per patient, P < .001; Medicaid: $-2077 per patient, P = .002). Controlling for secular trends, this was followed by a small decline in expenditure during the generic phase (commercially insured: -$93 per patient per month; P = .03; Medicaid: -$182 per patient per month; P = .001). Nilotinib and dasatinib maintained an increasing trend in both the pregeneric and generic phase of imatinib, resulting in a significant difference-in-difference slope for commercially insured patients (nilotinib: -$186, P = .006; dasatinib: -$175, P = .007) and patients with Medicaid (nilotinib: -$299, P = .002; dasatinib: -$329, P < .001). There were no significant trends for patient cost responsibility.

Conclusions and Relevance

The modest decline in expenditure associated with imatinib after generic entry accompanied by the increasing expenditure trends associated with the second-generation TKIs suggest a need for measures to facilitate cost reduction as well as standardization of CML treatment.

Análise de mutações do domínio BCR-ABL quinase em pacientes com leucemia mielóide crônica refratários ao tratamento com mesilato de imatinibe

Objetivo: A Leucemia Mielóide Crônica (LMC) é um distúrbio clonal de células progenitoras hematopoiéticas, caracterizada por uma translocação recíproca entre os cromossomos 9 e 22, que resulta no gene híbrido BCR-ABL1.Mesmo com o progresso no tratamento da doença permitido pelos inibidores de tirosina quinase, mutações pontuais no domínio desse gene são as principais causas de resistência terapêutica, principalmente ao mesilato de imatinibe. O objetivo desse estudo foi analisar as mutações pontuais de alta resistência em paciente com LMC e sua possível correlação com a resposta ao tratamento. Métodos: Estudo transversal com 58 pacientes com LMC em tratamento com imatinibe e com resposta subótima à terapia. As amostras de sangue foram analisadas por PCR em tempo real usando a química TaqMan® para avaliar as seguintes mutações pontuais: T315I, E255V e Y253H. Resultados: Nenhum dos 58 pacientes apresentou alguma das mutações investigadas. Houve uso irregular da medicação em 16% (n = 9), dos quais 44% (n = 4) relataram uso descontínuo e interrupção por conta própria, e 56% (n = 5) apresentaram intolerância ao tratamento e trocaram de fármaco. Conclusão: A ausência das mutações pontuais nos pacientes portadores de LMC analisados neste estudo demonstrou que a falha na terapia não tem correlação molecular com as mutações analisadas e pode estar relacionada à menores taxas de adesão ao tratamento. Estes achados foram demonstrados em um número considerável de pacientes avaliados, apontando a necessidade da edução sobre a importância de seguir as recomendações sobre seu tratamento para evitar complicações futuras.

Predictors of tyrosine kinase inhibitor adherence trajectories in patients with newly diagnosed chronic myeloid leukemia

INTRODUCTION

Although consistent use of tyrosine kinase inhibitors (TKIs) confers significant improvements in long-term survival for individuals with chronic myeloid leukemia (CML), only 70% of CML patients are adherent to TKIs. Understanding the factors that contribute to non-adherence and establishing dynamic adherence patterns in this population are essential aspects of targeted drug monitoring and intervention strategies.

METHODS

Newly diagnosed CML patients were identified in the MarketScan database and relevant covariate values extracted. Proportion of days covered (PDC) per 30-day interval was used to calculate adherence over a 12-month follow-up period. We conducted a latent profile analysis (LPA) on these PDC estimates to identify distinct, dynamic patterns of TKI adherence. Identified trajectories were grouped into four clinically relevant categories and predictors of membership in these categories were determined via multinomial logistic regression.

RESULTS

Four broad adherence categories were identified from the LPA: never adherent, initially non-adherent becoming adherent, initially adherent becoming non-adherent, and stable adherent. Results from the subsequent multinomial logistic regression indicated that younger age, female sex, greater monthly financial burden, fewer comorbidities, fewer concomitant medications, year of diagnosis, higher starting dose, TKI type, and a longer duration from diagnosis to treatment were significantly associated with membership in at least one of the three non-stable adherent groups.

CONCLUSION

Select sociodemographic and clinical characteristics were found to predict membership in clinically meaningful groups of longitudinal TKI adherence. These findings could have major implications for informing personalized monitoring and intervention strategies for individuals who are likely to be non-adherent.

The costs of treating and not treating patients with chronic myeloid leukemia with tyrosine kinase inhibitors among Medicare patients in the United States

BACKGROUND

Patients with high cost-sharing of tyrosine kinase inhibitors (TKIs) experience delays in treatment for chronic myeloid leukemia (CML). To the authors' knowledge, the clinical outcomes among and costs for patients not receiving TKIs are not well defined.

METHODS

Using the Surveillance, Epidemiology, and End Results (SEER)-Medicare database, the authors evaluated differences in TKI initiation, health care use, cost, and survival among patients with CML with continuous Medicare Parts A and B and Part D coverage who were diagnosed between 2007 and 2015.

RESULTS

A total of 941 patients were included. Approximately 29% of all patients did not initiate treatment with TKIs within 6 months (non-TKI users), and had lower rates of BCR-ABL testing and more hospitalizations compared with TKI users. Approximately 21% were not found to have any TKI claims at any time. TKI initiation rates within 6 months of diagnosis increased for all patients over time (61% to 85%), with greater improvements observed in patients receiving subsidies (55% to 90%). Total Medicare costs were greater in patients treated with TKIs, with approximately 50% because of TKI costs. Non-TKI users had more inpatient costs compared with TKI users. Trends in cost remained significant when adjusting for age and comorbidities. The median overall survival was 40 months (95% confidence interval [95% CI], 34-48 months) compared with 86 months (95% CI, 73 months to not reached), respectively, for non-TKI users versus TKI users, a finding that remained consistent when adjusting for age, comorbidities, and subsidy status (hazard ratio, 2.23; 95% CI, 1.77-2.81).

CONCLUSIONS

Approximately 21% of all patients with CML did not receive TKIs at any time. Cost-sharing subsidies consistently are found to be associated with higher initiation rates. Non-TKI users had higher inpatient costs and poorer survival outcomes. Interventions to lower TKI costs for all patients are desirable.

Association between insurance cost-sharing subsidy and postoperative opioid prescription refills among Medicare patients

BACKGROUND

Models of health care coverage with varying degrees of patient cost-sharing have been shown to influence health care behaviors for chronic conditions including medication adherence. The effect of insurance cost-sharing subsidies on the probability of postoperative opioid refill, however, is unclear.

METHODS

This retrospective cohort study examined 100% Medicare claims data among patients (N = 21,781) ages 65 and older undergoing orthopedic procedures in Michigan between January 2013 and September 2016. Patients were classified based on the presence of low-income subsidy and on prior opioid exposure using Medicare Part D prescription files of drug events. We investigated the association of these factors with the probability of both initial and second postoperative opioid fill within 90 days from the date of discharge.

RESULTS

In this cohort, 84.6% of patients filled an initial opioid prescription, and 66.4% refilled an opioid prescription. Patients with a full low-income subsidy had greater odds of refill within the postoperative 90 days compared with those patients without a low-income subsidy (odds ratio 1.38, 95% confidence interval 1.18-1.60). Among opioid naïve patients with a full low-income subsidy, the adjusted refill rate was 61.3% (95% confidence interval 58.0-64.7%) compared with 57.6% (95% confidence interval 51.4-63.7%) among those with partial low-income subsidy and 54.2% (95% confidence interval 52.8-55.6%) among patients without low-income subsidy.

CONCLUSION

Among Medicare patients undergoing orthopedic procedures, a full medication subsidy is associated with an increased probability of opioid refill when compared with no subsidy. Going forward, it is critical to lessen financial barriers to ensure all patients have equitable access to postoperative analgesia, including both opioid and nonopioid analgesics by decreasing the patient burden of cost-sharing.

Trends in Clinical Benefits and Costs of Novel Therapeutics in AML: at What Price Does Progress Come?

PURPOSE OF REVIEW

Since 2017, eight novel agents have been approved for the treatment of acute myeloid leukemia (AML) in the USA. Here, we review the clinical benefits and costs associated with these drugs.

RECENT FINDINGS

For some of the newly-approved drugs, clinical benefit has been documented in randomized trials. Others received accelerated approval based on surrogate endpoints in early phase trials. All, however, carry significant costs and toxicities. Cost-effectiveness analyses are so far only available for midostaurin, CPX-351, and gemtuzumab ozogamicin. Recently approved drugs for AML have varying levels of evidence for clinical effectiveness and because of associated high costs may further increase the overall economic burden of AML care. This issue is complex and whether novel AML drugs will cost-effective will depend on multiple factors, including their ability to improve survival and quality of life while simultaneously reducing the costs of healthcare resource utilization.

Medication Adherence, Health Care Utilization, and Costs Among Patients Initiating Oral Oncolytics for Multiple Myeloma or Chronic Lymphocytic Leukemia/Small Lymphocytic Lymphoma

BACKGROUND

Oral oncolytic therapies have improved survival in hematologic cancers, such as chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL) and multiple myeloma (MM), which are now being managed like chronic conditions. However, compared with other cancers, there is a lack of studies assessing adherence, health care resource utilization, and costs in patients with these cancers.

OBJECTIVE

To assess factors associated with adherence to oral oncolytic therapies, health care utilization, and costs in patients with CLL/SLL or MM.

METHODS

A retrospective database study was conducted using the IBM MarketScan Commercial Claims and Medicare Supplement databases. Adults (aged ≥ 18 years) diagnosed with and prescribed an oral oncolytic for CLL/SLL (ibrutinib or idelalisib) or MM (thalidomide, lenalidomide, or pomalidomide) between 2013 and 2016 and with continuous eligibility 6 months before and 12 months after oral oncolytic initiation were identified. Adherence to oral oncolytics was measured using the proportion of days covered (PDC) metric. Multiple linear regression and multivariable logistic regression were used to identify adherence predictors. Count models assessed the relationship between adherence and resource utilization, and generalized linear models assessed the relationship between adherence and health care costs.

RESULTS

A total of 701 and 2,385 patients were identified with CLL/SLL or MM, respectively. Mean PDC (SD) for CLL/SLL and MM patients was 75.3 (22.5) and 57.6 (26.5), respectively. For CLL/SLL patients, those aged ≥ 65 years (beta [B] = -4.00) had lower medication use. Among MM patients, multiple predictors of higher medication use emerged: aged ≥ 65 years (B = 3.44), higher than average outpatient resource utilization (B = 3.53), insurance plan other than preferred provider organization (PPO; B = -2.58), previous cancer therapy (B = -2.81), higher number of concurrent unique therapeutic classes (B = -0.35), and higher comorbidity burden (B = -2.55). Patients with CLL/SLL and enrolled in plans other than a PPO were more likely to be adherent (OR = 1.41, 95% CI = 1.01-1.98), whereas patients who were aged ≥ 65 years, were residents of the southern United States, and had visited the emergency department in the baseline period were less likely to be adherent. For MM patients, those aged ≥ 65 years (OR = 1.68, 95% CI = 1.38-2.04) and with higher than average outpatient services utilization (OR = 1.24, 95% CI = 1.01-1.52) were more likely to be adherent, whereas those enrolled in plans other than a PPO, previously treated with cancer therapy, and with higher comorbidity burden were less likely to be adherent. In both cohorts, adherent patients had significantly lower odds of health care utilization and incurred lower medical costs, but higher prescription costs, following oncolytic initiation; however, total costs were not significantly lower in those adherent.

CONCLUSIONS

Factors were identified that influenced adherence at the patient, treatment, and health system levels. These factors can be used to identify patients requiring interventions for improving medication-taking behavior and associated health care burden.

DISCLOSURES

This study received no outside funding. Dashputre was recently employed by Novartis; K. Gatwood has received speaker fees from Jazz Pharmaceuticals; and J. Gatwood has received research funding from Merck & Co. and GlaxoSmithKline, unrelated to this study..

Initiation of generic imatinib may improve medication adherence for patients with chronic myeloid leukemia

PURPOSE

To compare adherence to tyrosine kinase inhibitors (TKIs) between patients with chronic myeloid leukemia (CML) who initiated branded or generic imatinib.

METHODS

We used MarketScan commercial claims data (January 2011-June 2018) to identify patients with CML who newly initiated branded imatinib before 1 August 2015 or generic imatinib on or after 2 February 2016, and were continuously enrolled in health plans for 6 months before through 6 months following their initial fill. After inverse probability of treatment weighting, we compared adherence (proportion of days covered [PDC]) and persistence (no gaps ≥30 and ≥60 consecutive days in therapy) to TKI therapy.

RESULTS

Patients initiating generic imatinib consistently had higher average PDC per month and over the 6-month follow-up period than initiators of branded imatinib. Average 6-month PDC was 92% (95%CI:89%-94%) for generic initiators and 85% (95%CI:83%-86%) for brand initiators. Compared with branded imatinib initiators, a larger proportion of generic imatinib initiators were adherent and persistent to TKI therapy (PDC ≥ 90%:78% versus 64%; no≥60-day gap:94% versus 86%).

CONCLUSIONS

Patients initiating generic imatinib achieved clinically significant improvements in adherence to TKI therapy relative to branded drug users, presumably due to lower out-of-pocket costs. Given the importance of optimal adherence in CML, considering barriers to adherence (eg, patient-cost sharing and health benefit design) when selecting initial treatment may improve long-term medication adherence. Pharmacoepidemiologic studies should consider how best to account for expected cost-sharing and its impact on adherence and subsequent clinical outcomes.

Comparative Survival Associated With Use of Targeted vs Nontargeted Therapy in Medicare Patients With Metastatic Renal Cell Carcinoma

IMPORTANCE

Targeted therapies for advanced renal cell carcinoma (RCC) have shown increased tolerability and survival advantages over older treatments in clinical trials, but understanding of real-world survival improvements is still emerging.

OBJECTIVE

To compare overall and RCC-specific survival associated with use of targeted vs nontargeted therapy for metastatic RCC.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cohort study used Surveillance, Epidemiology, and End Results-Medicare data from 2000 to 2013 to examine patients with stage IV (distant) clear cell RCC at the time of diagnosis who received any targeted or nontargeted therapy. A 2-stage residual inclusion model was fitted to estimate the survival advantages of targeted treatments using an instrumental variable approach to account for both measured and unmeasured group differences. Data analyses were conducted from July 24, 2017, to April 4, 2019.

EXPOSURES

Targeted therapy (study group) or nontargeted therapy (control group).

MAIN OUTCOMES AND MEASURES

Overall survival and RCC-specific survival, defined as the interval between the date of first drug treatment and date of death or end of the observation period.

RESULTS

The final sample included 1015 patients (mean [SD] age, 71.2 [8.1] years; 392 [39%] women); 374 (37%) received nontargeted therapy and 641 (63%) received targeted therapy. The targeted therapy group had a greater percentage of disabled patients (ie, those <65 years old who were eligible for Medicare because of disability) and older patients (ie, those ≥75 years old) and higher comorbidity index and disability scores compared with the nontargeted therapy group. Unadjusted Kaplan-Meier survival curves showed higher overall survival for targeted vs nontargeted therapy (log-rank test, χ21 = 5.79; P = .02); median survival was not statistically significantly different (8.7 months [95% CI, 7.3-10.2 months] vs 7.2 months [95% CI, 5.8-8.8 months]; P = .14). According to the instrumental variable analysis, the median overall survival advantage was 3.0 months (95% CI, 0.7-5.3 months), and overall survival improvements associated with targeted therapy vs nontargeted therapy were statistically significant: 8% at 1 year (44% [95% CI, 39%-50%] vs 36% [95% CI, 30%-42%]; P = .01), 7% at 2 years (25% [95% CI, 20%-30%] vs 18% [95% CI, 13%-23%]; P = .009), and 5% at 3 years (15% [95% CI, 11%-19%] vs 10% [95% CI, 6%-13%]; P = .01). Receipt of targeted therapy was associated with a lower hazard of death compared with nontargeted therapy (overall survival hazard ratio, 0.78 [95% CI, 0.65-0.94]; RCC-specific survival hazard ratio, 0.77 [95% CI, 0.62-0.96]).

CONCLUSIONS AND RELEVANCE

Targeted therapies were associated with modest survival advantages despite a treatment group with more medical complexity, likely reflecting appropriateness for an expanded population of patients. As advances in cancer treatment continue, rigorous methods that account for unobserved confounders will be needed to evaluate their real-world impact on outcomes.

Medicare and patient spending among beneficiaries diagnosed with chronic myelogenous leukemia

BACKGROUND

The authors examined Medicare spending and patient spending in older patients with chronic myelogenous leukemia (CML) over the first 5 years from the time of CML diagnosis in the tyrosine kinase inhibitor (TKI) era.

METHODS

Medicare beneficiaries with CML who were diagnosed between 2007 and 2012 at age >65 years were identified from the Surveillance, Epidemiology, and End Results (SEER)-Medicare database (805 beneficiaries). A noncancer Medicare beneficiary sample was frequency-matched based on age, sex, and race/ethnicity (805 individuals). Patients were followed until 5 years from diagnosis, disenrollment, death, or December 31, 2014, whichever came first. Total Medicare spending, service-specific spending, and amount owed by patients was estimated monthly and then summed over 60 months and averaged to generate annual spending.

RESULTS

The median age at the time of diagnosis of CML was 76 years (range, 66-102 years). Overall, 51.4% of patients received TKIs (27.8% received imatinib alone), 28% received non-TKI therapy, and 21% received no treatment. The 5-year survival rate for patients with ≥85% time receiving TKIs was 79% compared with 76% for noncancer controls versus 62% for those with <85% time receiving TKIs. Annual Medicare spending was found to be significantly higher for patients treated with TKIs ($143,053) compared with those treated without TKIs ($41,268 vs $10,498 for noncancer controls). Annual patient cost responsibility was $11,712 per patient receiving any TKIs versus $7330 for those receiving non-TKI outpatient chemotherapy versus $3561 for noncancer controls.

CONCLUSIONS

Older patients with CML with adequate time receiving TKI therapy have 5-year survival rates that are comparable to those of their counterparts without cancer. However, TKI use is accompanied with significant Medicare and patient spending; patients receiving multiple TKIs (ie, dasatinib or nilotinib along with imatinib) constitute the group with the highest spending.