Comparison of medical costs and healthcare resource utilization of post-menopausal women with HR+/HER2− metastatic breast cancer receiving everolimus-based therapy or chemotherapy: a retrospective claims database analysis

Objective:

To analyze medical costs and healthcare resource utilization (HRU) associated with everolimus-based therapy or chemotherapy among post-menopausal women with hormone-receptor-positive, human-epidermal-growth-factor-receptor-2-negative (HR+/HER2?) metastatic breast cancer (mBC).

Methods:

Patients with HR+/HER2? mBC who discontinued a non-steroidal aromatase inhibitor and began a new line of treatment with everolimus-based therapy or chemotherapy (index therapy/index date) between July 20, 2012 and April 30, 2014 were identified from two large claims databases. All-cause, BC-related, and adverse event (AE)-related medical costs (in 2014 USD) and all-cause HRU per patient per month (PPPM) were analyzed for both treatment groups across patients’ first four lines of therapies for mBC. Adjusted differences in costs and HRU between the everolimus and chemotherapy treatment group were estimated pooling all lines and using multivariable generalized linear models, accounting for difference in patient characteristics.

Results:

A total of 3298 patients were included: 902 everolimus-treated patients and 2636 chemotherapy-treated patients. Compared to chemotherapy, everolimus was associated with significantly lower all-cause (adjusted mean difference?=?$3455, p?<?0.01) and BC-related ($2510, p?<?0.01) total medical costs, with inpatient ($1344, p?<?0.01) and outpatient costs ($1048, p?<?0.01) as the main drivers for cost differences. Everolimus was also associated with significantly lower AE-related medical costs ($1730, p?<?0.01), as well as significantly lower HRU (emergency room incidence rate ratio [IRR]?=?0.83; inpatient IRR?=?0.74; inpatient days IRR?=?0.65; outpatient IRR?=?0.71; BC-related outpatient IRR?=?0.57; all p?<?0.01).

Conclusions:

This retrospective claims database analysis of commercially-insured patients with HR+/HER2? mBC in the US showed that everolimus was associated with substantial all-cause, BC-related, and AE-related medical cost savings and less utilization of healthcare resources relative to chemotherapy.     

Healthcare costs,treatment patterns,and resource utilization among pancreatic cancer patients in a managed care population

Abstract

Background:

Pancreatic adenocarcinoma has few effective treatment options and poor survival. The objective of this study was to characterize treatment patterns and estimate the costs and resource use associated with its treatment in a commercially-insured US population.

Methods:

In this retrospective claims-based analysis, individuals ≥18 years old with evidence of pancreatic adenocarcinoma between January 1, 2001 and December 31, 2010 were selected from a managed care database. Treatment phase (either initial non-metastatic or metastatic) was determined using a claims-based algorithm. Patients in the pancreatic cancer population were matched 1:3 to a control population. Resource use (events/person-years), treatment patterns, and healthcare costs (per-patient per-month, PPPM) were determined during a variable length follow-up period (from first pancreatic cancer diagnosis to earliest of death, disenrollment, or study end).

Results:

In this study, 5262 pancreatic cancer patients were matched to 15,786 controls. Rates of office visits, inpatient visits, ER visits, and inpatient stays, and mean total all-cause healthcare costs PPPM ($15,480 vs $1001) were significantly higher among cancer patients than controls (all p?<?0.001). Mean inpatient costs were the single largest cost driver ($9917 PPPM). Also, mean total all-cause healthcare costs were significantly higher during the metastatic treatment phase vs the initial treatment phase of non-metastatic disease ($21,637 vs $10,358, p?<?0.001).

Conclusions:

These results indicate that pancreatic cancer imposes a substantial burden on the US healthcare system, and that treatment of more advanced disease is significantly more costly than initial treatment of non-metastatic disease.

Limitations:

Additional research is needed to validate the accuracy of the claims-based algorithms used to identify the treatment phase.     

Impact of completing chronic hepatitis C (CHC) treatment on post-therapy healthcare cost

Background:

Chronic hepatitis C (CHC) is associated with significant economic burden. This study evaluated the healthcare cost alleviation associated with treatment of CHC.

Methods:

Health insurance claims from 60 self-insured US companies were analyzed (01/2001–03/2012). Adult patients with ≥1 CHC diagnosis (ICD-9-CM: 070.44, 070.54), initiating interferon, and with ≥2 dispensings and with ≥48 weeks of follow-up were selected. Patients diagnosed with HIV or who completed only 24 weeks of interferon therapy (a surrogate for CHC genotypes 2 and 3) were excluded from the study. Interferon users were categorized into complete and discontinued therapy cohorts. During the post–48-week treatment period, cohorts were compared for healthcare resource utilization using rate ratios (RRs), as well as healthcare costs using per-patient per-year (PPPY) cost differences.

Results:

A total of 1017 patients who completed and 953 patients who discontinued interferon therapy were identified. Relative to the discontinued therapy cohort, the completed therapy cohort had significantly fewer hospitalizations (RR [95% CI]?=?0.74 [0.68, 0.81], p?p?p?=?0.039), which translated into significantly lower total healthcare costs PPPY (cost difference [95% CI]?=?$4540 [1570, 7680], p?=?0.004) and hospitalization costs (cost difference [95% CI]?=?$3039 [1140, 5248], p?=?0.002). Non–CHC-related costs accounted for 55% and CHC-related costs for 45% of the all-cause cost difference between cohorts.

Limitations:

Claims data may have contained inaccuracies, and genotypes of patients with CHC could not be confirmed. The study consisted of privately insured individuals and may not be generalizable to the entire CHC population.

Conclusion:

Compared to discontinued therapy patients, CHC patients who completed interferon therapy and presumably had a higher rate of achieving SVR were found to have lower levels of healthcare resource utilization and costs post-therapy. The reduction was primarily in costs associated with non–HCV-related comorbidities.     

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.     

Inflammatory bowel disease: healthcare costs for patients who are adherent or non-adherent with infliximab therapy

Objective:

Healthcare costs of inflammatory bowel disease are substantial. This study examined the effect of adherence versus non-adherence on healthcare costs in patients with inflammatory bowel disease.

Methods:

Adults who started infliximab treatment between 2006 and 2009 and had a diagnosis of inflammatory bowel disease were identified from MarketScan Databases. Medication adherence was defined as an infliximab medication possession ratio of 80% or greater in the first year. Mean treatment effects (adherence versus non-adherence) on costs in adherent patients were estimated with propensity-weighted generalized linear models.

Results:

A total of 1646 patients were identified. Significant variables in the model used to develop propensity weights were age, year of infliximab initiation, having Medicare coverage, presence of supplementary diagnoses, office as the place of service for infliximab initiation, prior aminosalicylate use, prior outpatient costs, number of prior outpatient visits, and number of prior colonoscopies. Mean total costs in adherent (n?=?674) and propensity-weighted non-adherent (n?=?972) patients were $41,713 versus $47,411 overall (p?p?p?p?p?p?=?0.460).

Limitations:

Costs associated with infliximab administration (infusions, adverse events) were captured in healthcare costs (inpatient, outpatient, and emergency room), not in infliximab costs. The influence of adherence on indirect costs (e.g., time lost from work) could not be determined. Reasons for non-adherence were not available in the database.

Conclusions:

In patients who were adherent to infliximab treatment (a medication possession ratio of 80% or greater in the first year), adherence versus non-adherence was associated with lower total healthcare costs, supporting the overall value of infliximab adherence in patients with inflammatory bowel disease.     

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.     

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 utilization and costs among chronic bronchitis patients treated with maintenance medications from a US managed care population

Abstract

Objectives:

This study aimed to examine the real-world healthcare resource utilization (HCRU) and direct costs among chronic bronchitis (CB) patients treated with chronic obstructive pulmonary disease (COPD) maintenance medications.

Methods:

This retrospective analysis utilized administrative claims data from 14 US commercial managed care plans. Eligible patients were ≥40 years old, had ≥2 years of continuous enrollment, ≥1 CB (ICD-9-CM code 491.xx) hospitalization or emergency department (ED) visit or ≥2 office visits between 1/1/2004 and 5/31/2011, and had ≥2 pharmacy fills for COPD medications during follow-up (first fill served as the index date). All-cause and COPD-related HCRU and costs were assessed during follow-up. Multivariate models were utilized to identify predictors of total costs.

Results:

Treated CB patients (n?=?17,382; 50.6% female; mean age 66.7 (SD?=?11.4) years) had a mean of 7.6 (SD?=?6.3) COPD maintenance medication fills during follow-up. Overall, 32.6% of patients had ≥1 COPD-related inpatient hospitalizations, 12.9% had ≥1 ED visit, and 81.8% had ≥1 office visit. Mean all-cause and COPD-related total costs were $25,747 (SD?=?$51,105) and $12,609 (SD?=?$36,801), respectively, during follow-up. Among the sub-group with ≥1 exacerbation during baseline year, 42.3% had ≥1 COPD-related inpatient hospitalization, 18.5% had ≥1 ED visit, and 88.2% had ≥1 office visit. Mean follow-up all-cause and COPD-related total costs were $29,861 (SD?=?$49,799) and $16,784 (SD?=?$34,170), respectively. The number of baseline exacerbations was a significant predictor of all-cause and COPD-related total costs during follow-up.

Limitations:

This study lacked standard measures of CB severity; however, severity proxies were utilized.

Conclusion:

HCRU and costs among CB patients were substantial during follow-up, despite treatment with COPD maintenance medications. Additional interventions aiming to prevent or reduce HCRU and costs among CB patients warrant exploration.     

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 costs for Crohn’s disease patients treated with infliximab: a propensity weighted comparison of the effects of treatment adherence

Objective:

The objective for the research was to evaluate the direct healthcare costs for Crohn’s disease (CD) patients categorized by adherence status.

Methods:

Adult patients with ≥1 claim for infliximab and ≥2 claims for CD who were continuously insured for 12 months before and after their first infliximab infusion (index date) were identified in a 2006–2009 US managed care database. Patients were excluded if they had rheumatoid arthritis claims, received infliximab billed as a pharmacy benefit, or received another biologic drug. Patients were categorized as being either adherent or intermittently adherent to infliximab using a pre-defined algorithm. Total and component direct costs, CD-related costs, rates of surgery, and days of hospitalization were estimated for the 360-day post-index period. Propensity weighted generalized linear models were used to adjust the cost estimates for potential confounding variables.

Results:

The total propensity weighted cost for infliximab adherent patients was $40,425 (95% CI?=?[$38,686, $42,242]), compared to $41,082 (95% CI?=?[$38,163, $44,223]) for the intermittently adherent (p?=?0.71). However, adherent patients had lower total direct medical costs, exclusive of infliximab, that were $13,097 (95% CI?=?[$12,141, $14,127]) compared with $20,068 (95% CI?=?[$17,676, $22,784]) for intermittently adherent patients as a result of substantially lower hospital and outpatient costs (p?Conclusions:

Greater drug-related costs for infliximab adherent patients were offset by lower costs from hospitalization and outpatient visits. These findings indicate that adherent patients have improved clinical outcomes, at a similar aggregate cost, than patients who are only intermittently adherent to therapy.     

What happens after a single surgical intervention for hidradenitis suppurativa? A retrospective claims-based analysis

Objective Hidradenitis suppurativa (HS) is often treated by surgery. The risk of recurrence after surgery is common and the consequences are substantial, but neither has been quantified using a claims database. This study aimed to estimate the burden associated with non-curative surgery in HS patients.

Methods A retrospective analysis was performed of health insurance claims data from Q1 1999 to Q2 2011 in a US claims database. The analysis included 2668 adults with ≥1 diagnosis of HS and ≥1 claim for skin surgery within 6 months after diagnosis. Healthcare resource utilization and medical costs were compared using multivariate regressions.

Results Overall, 46% of HS patients had ≥1 indicator of non-curative surgery. The incidences of inpatient, emergency department, and outpatient visits were 88%, 40%, and 30% higher, respectively, for patients with non-curative surgery vs patients without indicator of non-curative surgery (all p?<?0.001). Average medical costs were $11,858 and $6427 for patients with and without indicators of non-curative surgery, respectively. The difference of $4185 (p?<?0.001) was mainly driven by inpatient costs (difference = $2685; p?<?0.001).

Limitations Indicators of non-curative HS surgery were defined based on an empirical algorithm.

Conclusions Non-curative HS surgery occurred in almost half of all cases and represents a significant burden on patients and payers in terms of resource utilization and costs.     

Healthcare costs associated with bevacizumab and cetuximab in second-line treatment of metastatic colorectal cancer

Abstract

Objective:

To compare the health care costs of patients with metastatic colorectal cancer (mCRC) who received second-line treatment with Avastin (bevacizumab) versus Erbitux (cetuximab), from the third-party payer’s perspective.

Methods:

Patients with mCRC were selected from the PharMetrics claims database if they received second-line therapy containing either bevacizumab (second-line bevacizumab cohort) or cetuximab (second-line cetuximab cohort). Six-month costs following second-line therapy start date and average monthly healthcare costs while on second-line therapy (in 2009 US$) were calculated and compared between the two groups.

Results:

A total of 2188 patients with mCRC who met the eligibility criteria were included in the analysis, including 1808 patients receiving bevacizumab and 380 patients receiving cetuximab in second-line treatment. Demographic and baseline characteristics were similar between the two groups. Patients’ mean age was 61 years and 56% were males. In second-line treatment, bevacizumab was commonly used with oxaliplatin (43.5%) and irinotecan-based regimens (40.4%), whereas cetuximab was commonly used with irinotecan-based regimens (68.2%). Bevacizumab patients had significantly lower total all-cause healthcare costs than cetuximab patients (adjusted difference: –$10,231, p?=?0.020), and lower medical costs (–$10,796, p?=?0.012) during the 6 months following second-line therapy initiation. Approximately half of the difference in total all-cause healthcare costs was attributable to the lower chemotherapy and targeted therapy costs (–$5635, p?=?0.032) of bevacizumab patients than those of cetuximab patients. While on second-line therapy, bevacizumab patients also had lower average monthly all-cause healthcare costs than cetuximab patients.

Limitations:

Second-line treatment in the current study was defined based on changes in mCRC medications, not based on disease progression due to the limited clinical information available in claims.

Conclusion:

The use of bevacizumab in second-line therapy was associated with significantly lower healthcare costs in mCRC patients, compared to the use of cetuximab.