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.     

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.     

Relationship of hospital-associated bleeding with length of stay and total hospitalization costs in patients hospitalized for atrial fibrillation

Background:

While literature has focused on the impact of bleeding beginning outside the hospital setting among patients with atrial fibrillation (AF), there is little information regarding bleeding that first occurs within a hospital setting. This study was performed to determine the association between hospital-associated bleeding in patients admitted for AF on outcomes of length of stay (LOS) and total hospitalization cost.

Methods and results:

The Premier research database was queried to identify adult inpatients discharged between 2008–2011 having a primary diagnosis code for AF where a bleeding diagnosis code was not present on admission. Regression was used to adjust for baseline differences in patients to estimate outcomes comparing patients with and without a hospital-associated bleed. There were 143,287 patients that met the study criteria. There were 2991 (2.1%) patients identified with a hospital associated bleed. After adjustment for covariates, the mean estimated LOS was significantly greater in the bleed group, at 6.0 days (95% CI?=?5.8–6.1) vs the no bleed group at 3.3 days (95% CI?=?3.3–3.3) (p?<?0.0001). Similarly, the adjusted mean estimated total hospitalization cost was also significantly greater in the bleed group, $12,069 (95% CI?=?$11,779–$12,366) vs $6561 (95% CI?=?$6538–$6583) in the no bleed group (p?<?0.0001).

Conclusions:

After adjustments for baseline differences the data show that the 2.1% (n?=?2991) of patients with hospital associated bleeding accounted for an estimated additional 8106 hospitalization days and $16.4 million dollars in cost over the study period compared to non-bleeders.     

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.     

Using observational analysis of multiple sclerosis relapse to design outcomes-based contracts for disease-modifying drugs: a feasibility assessment

Abstract

Objective:

To assess predictors and costs of multiple sclerosis (MS) relapse, a potential outcome measure in payer-manufacturer risk-sharing agreements for disease-modifying drugs (DMDs).

Methods:

A retrospective cohort analysis of medical/pharmacy claims was used. Study patients had ≥1 DMD (interferon beta, glatiramer, natalizumab) claim, without DMD claims in a 6-month pre-period before DMD initiation; were aged 18–64 years and continuously enrolled from the pre-period through a 24-month post-period; and had ≥2 MS medical claims during the 30-month study period. Post-period relapse cohorts included: (1) severe (hospitalization with MS diagnosis); (2) moderate (outpatient services including intravenous methylprednisolone); and (3) none. Poisson regression modeled severe relapse frequency, logistic regression modeled ≥1 severe relapse, and generalized linear modeling predicted healthcare costs. Tested predictors included demographics, insurance type, index DMD, pre-period health status, and DMD medication possession ratio (MPR).

Results:

Severe relapse was experienced by 14.5% and moderate relapse by 13.8% of 2291 patients. In logistic regression, severe relapse was predicted by plan type; age (odds ratio [OR]?=?1.018, 95% confidence interval [CI]?=?1.005–1.031); pre-period Charlson Comorbidity Index (OR?=?1.307, 95% CI?=?1.166–1.464); pre-period proxy measure indicating impaired activities of daily living (OR?=?1.470, 95% CI?=?1.134–1.905); pre-period MS hospitalization (OR?=?2.174, 95% CI?=?1.537–3.074); and DMD non-adherence (MPR OR?=?0.101, 95% CI?=?0.068–0.151). Poisson regression results were similar. Predicted mean [standard deviation] all-cause healthcare expenditures were tripled for patients with severe compared with moderate relapse ($48,173 [$8665] and $13,334 [$1929], respectively).

Limitations:

Commercially insured patients from a single payer; use may have been inconsistent with approved indications; proxy relapse measure may have misclassified patients.

Conclusions:

Severe MS relapses requiring hospitalization, although affecting less than 15% of patients initiating DMD treatment, are associated with high medical costs. The only actionable predictor of severe relapse identified in observational analysis was MPR, raising questions about the feasibility of using observational data to guide outcomes-based contracting.     

Healthcare resource utilization and costs associated with venous thromboembolism recurrence in patients with cancer

Abstract

Objective: Patients with cancer are at high risk for developing primary but also recurrent venous thromboembolism (VTE). This study examined healthcare utilization (HRU) and costs related to VTE recurrence among cancer patients.

Methods: Medical and pharmacy claims from the Humana Database were used to compare HRU (outpatient visits, emergency room visits, hospitalizations, and hospitalization days) and healthcare costs among cancer patients with a single VTE event (between 01/2013 and 06/2015) and those with recurrent VTE during the follow-up period (from initiation of anticoagulant therapy until end of eligibility or data availability). All-cause and VTE-related HRU and costs were evaluated using Poisson regression, and healthcare costs were compared using mean differences reported as per-patient-per-year (PPPY).

Results: Of 2,428 newly diagnosed cancer patients who developed VTE, 413 (17.1%) experienced recurrent VTE during the follow-up period (mean = 9 months). Patients with recurrent VTE had higher all-cause and VTE-related HRU and costs compared to those without recurrence. Patients with recurrent VTE also had over 3.19-times more VTE-related hospitalizations (RR [95% CI]?=?3.19 [2.93–3.47]), and 3.88-times more VTE-related hospitalization days (RR [95% CI]?=?3.88 [3.74–4.02]) than patients without a VTE recurrence. Total VTE-related healthcare costs were $39,641 PPPY among patients with recurrent VTE, $29,142 higher compared to those without recurrence ($10,499 PPPY). This difference was mainly driven by hospitalization costs.

Conclusion: Recurrent VTE among cancer patients is associated with significant HRU and healthcare costs, notably hospitalizations. Strategies to reduce VTE recurrence in patients with cancer can contribute to reducing healthcare cost.     

Distribution and drivers of costs in type 2 diabetes mellitus treated with oral hypoglycemic agents: a retrospective claims data analysis

Objective:

To describe the distribution of costs and to identify the drivers of high costs among adult patients with type 2 diabetes mellitus (T2DM) receiving oral hypoglycemic agents.

Methods:

T2DM patients using oral hypoglycemic agents and having HbA1c test data were identified from the Truven MarketScan databases of Commercial and Medicare Supplemental insurance claims (2004–2010). All-cause and diabetes-related annual direct healthcare costs were measured and reported by cost components. The 25% most costly patients in the study sample were defined as high-cost patients. Drivers of high costs were identified in multivariate logistic regressions.

Results:

Total 1-year all-cause costs for the 4104 study patients were $55,599,311 (mean cost per patient?=?$13,548). Diabetes-related costs accounted for 33.8% of all-cause costs (mean cost per patient?=?$4583). Medical service costs accounted for the majority of all-cause and diabetes-related total costs (63.7% and 59.5%, respectively), with a minority of patients incurring >80% of these costs (23.5% and 14.7%, respectively). Within the medical claims, inpatient admission for diabetes-complications was the strongest cost driver for both all-cause (OR?=?13.5, 95% CI?=?8.1–23.6) and diabetes-related costs (OR?=?9.7, 95% CI?=?6.3–15.1), with macrovascular complications accounting for most inpatient admissions. Other cost drivers included heavier hypoglycemic agent use, diabetes complications, and chronic diseases.

Limitations:

The study reports a conservative estimate for the relative share of diabetes-related costs relative to total cost. The findings of this study apply mainly to T2DM patients under 65 years of age.

Conclusions:

Among the T2DM patients receiving oral hypoglycemic agents, 23.5% of patients incurred 80% of the all-cause healthcare costs, with these costs being driven by inpatient admissions, complications of diabetes, and chronic diseases. Interventions targeting inpatient admissions and/or complications of diabetes may contribute to the decrease of the diabetes economic burden.     

Hospital costs associated with intraoperative hypotension among non-cardiac surgical patients in the US: a simulation model

Objective: Recent studies indicate intraoperative hypotension, common in non-cardiac surgical patients, is associated with myocardial injury, acute kidney injury, and mortality. This study extends on these findings by quantifying the association between intraoperative hypotension and hospital expenditures in the US.

Methods: Monte Carlo simulations (10,000 trial per simulation) based on current epidemiological and cost outcomes literature were developed for both acute kidney injury (AKI) and myocardial injury in non-cardiac surgery (MINS). For AKI, three models with different epidemiological assumptions (two models based on observational studies and one model based on a randomized control trial [RCT]) estimate the marginal probability of AKI conditional on intraoperative hypotension status. Similar models are also developed for MINS (except for the RCT case). Marginal probabilities of AKI and MINS sequelae (myocardial infarction, congestive heart failure, stroke, cardiac catheterization, and percutaneous coronary intervention) are multiplied by marginal cost estimates for each outcome to evaluate costs associated with intraoperative hypotension.

Results: The unadjusted (adjusted) model found hypotension control lowers the absolute probability of AKI by 2.2% (0.7%). Multiplying these probabilities by the marginal cost of AKI, the unadjusted (adjusted) AKI model estimated a cost reduction of $272 [95% CI?=?$223–$321] ($86 [95% CI?=?$47–$127]) per patient. The AKI model based on relative risks from the RCT had a mean cost reduction estimate of $281 (95% CI?=?–$346–$750). The unadjusted (adjusted) MINS model yielded a cost reduction of $186 [95% CI?=?$73–$393] ($33 [95% CI?=?$10–$77]) per patient.

Conclusions: The model results suggest improved intraoperative hypotension control in a hospital with an annual volume of 10,000 non-cardiac surgical patients is associated with mean cost reductions ranging from $1.2–$4.6 million per year. Since the magnitude of the RCT mean estimate is similar to the unadjusted observational model, the institutional costs are likely at the upper end of this range.     

Confirming the timing of phase-based costing in oncology studies: a case example in advanced melanoma

Aims: The utilization of healthcare services and costs among patients with cancer is often estimated by the phase of care: initial, interim, or terminal. Although their durations are often set arbitrarily, we sought to establish data-driven phases of care using joinpoint regression in an advanced melanoma population as a case example.

Methods: A retrospective claims database study was conducted to assess the costs of advanced melanoma from distant metastasis diagnosis to death during January 2010–September 2014. Joinpoint regression analysis was applied to identify the best-fitting points, where statistically significant changes in the trend of average monthly costs occurred. To identify the initial phase, average monthly costs were modeled from metastasis diagnosis to death; and were modeled backward from death to metastasis diagnosis for the terminal phase. Points of monthly cost trend inflection denoted ending and starting points. The months between represented the interim phase.

Results: A total of 1,671 patients with advanced melanoma who died met the eligibility criteria. Initial phase was identified as the 5-month period starting with diagnosis of metastasis, after which there was a sharp, significant decline in monthly cost trend (monthly percent change [MPC]?=?–13.0%; 95% CI?=?–16.9% to –8.8%). Terminal phase was defined as the 5-month period before death (MPC?=?–14.0%; 95% CI?=?–17.6% to –10.2%).

Limitations: The claims-based algorithm may under-estimate patients due to misclassifications, and may over-estimate terminal phase costs because hospital and emergency visits were used as a death proxy. Also, recently approved therapies were not included, which may under-estimate advanced melanoma costs.

Conclusions: In this advanced melanoma population, optimal duration of the initial and terminal phases of care was 5 months immediately after diagnosis of metastasis and before death, respectively. Joinpoint regression can be used to provide data-supported phase of cancer care durations, but should be combined with clinical judgement.     

Healthcare and economic burden of adverse events among patients with chronic myelogenous leukemia treated with BCR-ABL1 tyrosine kinase inhibitors

Objectives: BCR-ABL1 tyrosine kinase inhibitors (TKIs) are established treatments for chronic myelogenous leukemia (CML); however, they are associated with infrequent, but clinically serious adverse events (AEs). The objective of this analysis was to assess healthcare resource utilization and costs associated with AEs, previously identified using the FDA Adverse Event Reporting System (FAERS) in another study, among TKI-treated patients.

Methods: Adult patients with ≥1 inpatient or ≥2 outpatient ICD-9-CM diagnosis codes for CML and ≥1 claim for a TKI treatment between January 1, 2006 and September 30, 2012 were identified from the Commercial and Medicare MarketScan databases. The first claim for a TKI was designated as the index event. Patients were required to have no TKI treatment during a 12-month baseline period. Healthcare resource utilization and costs associated with select AEs having the strongest association with TKI treatment (femoral arterial stenosis [FAS], peripheral arterial occlusive disease [PAOD], intermittent claudication, coronary artery stenosis [CAS], pericardial effusion, pleural effusion, malignant pleural effusion, conjunctival hemorrhage) were evaluated during a 12-month follow-up period.

Results: The study sample included 2,005 CML patients receiving TKI therapy (mean age?=?56 years; 56% male). Among all evaluated AEs, the highest mean inpatient healthcare costs were observed for FAS ($16,800 per patient) and PAOD ($14,263 per patient), which had total mean medical costs (inpatient?+?outpatient) of $17,015 and $15,154 per patient, respectively. Mean outpatient healthcare costs were highest for CAS ($1,861 per patient), followed by intermittent claudication ($947 per patient), PAOD ($891 per patient), and pleural effusion ($890 per patient). Total mean medical costs for fluid retention-related AEs, including pericardial effusion and pleural effusion, were $2,797 and $1,908 per patient, respectively.

Conclusions: The healthcare costs of AEs identified in the FAERS as having the strongest association with TKI treatment are substantial. Vascular stenosis-related AEs, including FAS and PAOD, have the highest cost burden.     

Healthcare utilization and costs among relapsed or refractory multiple myeloma patients on carfilzomib or pomalidomide as monotherapy or in combination with dexamethasone

Aim: To compare monthly healthcare resource utilization (HRU) and costs among adult patients with multiple myeloma (MM) receiving second or subsequent line of treatment (LOT) with carfilzomib or pomalidomide as monotherapy or in combination with dexamethasone.

Methods and materials: Adult MM patients who received carfilzomib or pomalidomide as second/subsequent LOT between 2006 and 2014 were selected from the MarketScan databases. LOT was determined using Medical/pharmacy claims using a published algorithm. For each patient, first LOT with carfilzomib or pomalidomide was defined as index LOT. Patients with first LOT as index LOT, who received other chemotherapy in combination with carfilzomib or pomalidomide, or who underwent stem cell transplant (STC) during index LOT were excluded. Monthly HRU and costs during index LOT were compared using inverse probability of treatment weights (IPTW) based on propensity scores for receipt of carfilzomib estimated by logistic regression with LOT, patient demographics, Charlson index, comorbidities, pre-index healthcare cost, and receipt of prior SCT as covariates.

Results: After weighting, baseline characteristics were well balanced among 114 carfilzomib and 144 pomalidomide patients. Mean (95% CI) numbers of outpatient visits per month were 7.1 (5.2–8.0) with carfilzomib and 4.7 (3.9–6.1) with pomalidomide (p?=?0.006). Otherwise, there were no statistically significant differences between the groups in mean monthly HRU and costs or median time to therapy discontinuation. Mean (95% CI) monthly total healthcare costs were $19,776 (15,322–27,748) with pomalidomide and $17,321 (12,412–21,874) with carfilzomib (p?=?0.522).

Limitations: Comparison of carfilzomib vs pomalidomide may be biased if there are unobserved factors not balanced by IPTW. The relatively small sample size limits the power of analyses to detect potential differences between treatment groups.

Conclusions: Monthly HRU and costs are similar among patients with relapse or refractory MM patients receiving carfilzomib or pomalidomide as monotherapy or in combination with dexamethasone.     

Real-world dosing and drug costs with everolimus or axitinib as second targeted therapies for advanced renal cell carcinoma: a retrospective chart review in the US

Objective:

To describe dosing patterns and to compare the drug costs per month spent in progression-free survival (PFS) among patients with advanced renal cell carcinoma (aRCC) treated with everolimus or axitinib following a first tyrosine kinase inhibitor (TKI).

Methods:

A medical record retrospective review was conducted among medical oncologists and hematologists/oncologists in the US. Patient eligibility criteria included: (1) age ≥18 years; (2) discontinuation of first TKI (sunitinib, sorafenib, or pazopanib) for medical reasons; (3) initiation of axitinib or everolimus as a second targeted therapy during February 2012–January 2013. Real-world dosing patterns were summarized. Dose-specific drug costs (as of October 2014) were based on wholesale acquisition costs from RED BOOK Online. PFS was compared between everolimus and axitinib using a multivariable Cox proportion hazards model. Everolimus and axitinib drug costs per month of PFS were compared using multivariable gamma regression models.

Results:

A total of 325 patients received everolimus and 127 patients received axitinib as second targeted therapy. Higher proportions of patients treated with axitinib vs everolimus started on a higher than label-recommended starting dose (14% vs 2%) or experienced dose escalation (11% vs 1%) on second targeted therapy. The PFS did not differ significantly between patients receiving everolimus or axitinib (adjusted hazard ratio (HR)?=?1.16; 95% confidence interval [CI]?=?0.73–1.82). After baseline characteristics adjustment, axitinib was associated with 17% ($1830) higher drug costs per month of PFS compared to everolimus ($12,467 vs $10,637; p?<?0.001).

Limitations:

Retrospective observational study design and only drug acquisition costs considered in drug costs estimates.

Conclusions:

Patients with aRCC receiving axitinib as second targeted therapy were more likely to initiate at a higher than label-recommended dose and were more likely to dose escalate than patients receiving everolimus. With similar observed durations of PFS, drug costs were significantly higher—by 17% per month of PFS—with axitinib than with everolimus.     

The cost implications of an early versus delayed invasive strategy in acute coronary syndromes: the TIMACS study

Background:

The Timing of Intervention in Acute Coronary Syndromes (TIMACS) trial demonstrated that early invasive intervention (within 24 hours) was similar to a delayed approach (after 36 hours) overall but improved outcomes were seen in patients at high risk. However, the cost implications of an early versus delayed invasive strategy are unknown.

Methods and results:

A third-party perspective of direct cost was chosen and United States Medicare costs were calculated using average diagnosis related grouping (DRG) units. Direct medical costs included those of the index hospitalization (including clinical, procedural and hospital stay costs) as well as major adverse cardiac events during 6 months of follow-up. Sensitivity and sub-group analyses were performed. The average total cost per patient in the early intervention group was lower compared with the delayed intervention group (?$1170; 95% CI ?$2542 to $202). From the bootstrap analysis (5000 replications), the early invasive approach was associated with both lower costs and better clinical outcomes regarding death/myocardial infarction (MI)/stroke in 95.1% of the cases (dominant strategy). In high-risk patients (GRACE score ≥141), the net reduction in cost was greatest (?$3720; 95% CI ?$6270 to ?$1170). Bootstrap analysis revealed 99.8% of cases were associated with both lower costs and better clinical outcomes (death/MI/stroke).

Limitations:

We were unable to evaluate the effect of community care and investigations without hospitalization (office visits, non-invasive testing, etc). Medication costs were not captured. Indirect costs such as loss of productivity and family care were not included.

Conclusions:

An early invasive management strategy is as effective as a delayed approach and is likely to be less costly in most patients with acute coronary syndromes.     

Real-world comparison of all-cause hospitalizations,hospitalizations due to stroke and major bleeding,and costs for non-valvular atrial fibrillation patients prescribed oral anticoagulants in a US health plan

Aims: To compare the risk of all-cause hospitalization and hospitalizations due to stroke/systemic embolism (SE) and major bleeding, as well as associated healthcare costs for non-valvular atrial fibrillation (NVAF) patients initiating apixaban, dabigatran, rivaroxaban, or warfarin.

Materials and methods: NVAF patients initiating apixaban, dabigatran, rivaroxaban, or warfarin were selected from the OptumInsight Research Database from January 1, 2013–September 30, 2015. Propensity score matching (PSM) was performed between apixaban and each oral anticoagulant. Cox models were used to estimate the risk of stroke/SE and major bleeding. Generalized linear and 2-part models were used to compare healthcare costs.

Results: Of the 47,634 eligible patients, 8,328 warfarin-apixaban pairs, 3,557 dabigatran-apixaban pairs, and 8,440 rivaroxaban-apixaban pairs were matched. Compared to apixaban, warfarin patients were associated with a significantly higher risk of all-cause (hazard ratio [HR]?=?1.30; 95% confidence interval [CI]?=?1.21–1.40) as well as stroke/SE-related (HR?=?1.60; 95% CI?=?1.23–2.07) and major bleeding-related (HR?=?1.95; 95% CI?=?1.60–2.39) hospitalization; rivaroxaban patients were associated with a higher risk of all-cause (HR?=?1.15; 95% CI?=?1.07–1.24) and major bleeding-related hospitalization (HR?=?1.71; 95% CI?=?1.39–2.10); and dabigatran patients were associated with a higher risk of major bleeding hospitalization (HR?=?1.46, 95% CI?=?1.02–2.10). Warfarin patients had significantly higher major bleeding-related and total all-cause healthcare costs compared to apixaban patients. Rivaroxaban patients had significantly higher major bleeding-related costs compared to apixaban patients. No significant results were found for the remaining comparisons.

Limitations: No causal relationships can be concluded, and unobserved confounders may exist in this retrospective database analysis.

Conclusions: This study demonstrated a significantly higher risk of hospitalization (all-cause, stroke/SE, and major bleeding) associated with warfarin, a significantly higher risk of major bleeding hospitalization associated with dabigatran or rivaroxaban, and a significantly higher risk of all-cause hospitalization associated with rivaroxaban compared to apixaban. Lower major bleeding-related costs were observed for apixaban patients compared to warfarin and rivaroxaban patients.     

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.     

Estimates of the direct and indirect cost savings associated with heart disease that could be avoided through dietary change in the United States

Aims: Diets high in saturated fat are associated with elevated risk of heart disease. This study estimates the savings in direct (medical care) costs and indirect (job absenteeism) costs in the US from reductions in heart disease associated with substituting monounsaturated fats (MUFA) for saturated fats.

Materials and methods: A four-part model of the medical care cost savings from avoided heart disease was estimated using data on 247,700 adults from the 2000–2010 Medical Expenditure Panel Survey (MEPS). The savings from reduced job absenteeism due to avoided heart disease was estimated using a zero-inflated negative binomial model of the number of annual work loss days applied to data on 164,577 adults from the MEPS.

Results: Estimated annual savings in medical care expenditures resulting from a switch from a diet high in saturated fat to a high-MUFA diet totaled ～ $25.7 billion (95% CI = $6.0–$45.4 billion) in 2010, with private insurance plans saving $7.9 billion (95% CI?=?$1.8–$14.0 billion), Medicare saving $9.4 billion (95% CI?=?$2.1–$16.7 billion), Medicaid saving $1.4 billion (95% CI?=?Aims: Diets high in saturated fat are associated with elevated risk of heart disease. This study estimates the savings in direct (medical care) costs and indirect (job absenteeism) costs in the US from reductions in heart disease associated with substituting monounsaturated fats (MUFA) for saturated fats.

Materials and methods: A four-part model of the medical care cost savings from avoided heart disease was estimated using data on 247,700 adults from the 2000–2010 Medical Expenditure Panel Survey (MEPS). The savings from reduced job absenteeism due to avoided heart disease was estimated using a zero-inflated negative binomial model of the number of annual work loss days applied to data on 164,577 adults from the MEPS.

Results: Estimated annual savings in medical care expenditures resulting from a switch from a diet high in saturated fat to a high-MUFA diet totaled ～ $25.7 billion (95% CI = $6.0–$45.4 billion) in 2010, with private insurance plans saving $7.9 billion (95% CI?=?$1.8–$14.0 billion), Medicare saving $9.4 billion (95% CI?=?$2.1–$16.7 billion), Medicaid saving $1.4 billion (95% CI?=?$0.2–$2.5 billion), and patients saving $2.2 billion (95% CI?=?$0.5–$3.8 billion). The annual savings in terms of reduced job absenteeism ranges from a lower bound of $600 million (95% CI?=?$100 million to $1.0 billion) to an upper bound of $1.2 billion (95% CI?=?$0.2–$2.1 billion) for 2010.

Limitations: The data cover only the non-institutionalized population. Decreased costs due to any decreases in the severity of heart disease are not included. Cost savings do not include any reduction in informal care at home.

Conclusions: Diets high in saturated fat impose substantial medical care costs and job absenteeism costs, and substantial savings could be achieved by substituting MUFA for saturated fat.