Cost-utility analyses of targeted immunomodulators in rheumatoid arthritis: systematic review.

Aims: Cost-utility (CU) modeling is a common technique used to determine whether new treatments represent good value for money. As with any modeling exercise, findings are a direct result of methodology choices, which may vary widely. Several targeted immuno-modulators have been launched in recent years to treat moderate-to-severe rheumatoid arthritis (RA) which have been evaluated using CU methods. Our objectives were to identify common and innovative modeling choices in moderate-to-severe RA and to highlight their implications for future models in RA.Materials and methods: A systematic literature search was conducted to identify CU models in moderate-to-severe RA published from January 2013 to June 2019. Studies must have included an active comparator and used quality-adjusted life-years (QALYs) as the common measure of effectiveness. Modeling methods were characterized by stakeholder perspective, simulation type, mapping between parameters, and data sources.Results: Thirty-one published modeling studies were reviewed spanning 13 countries and 9 drugs, with common methodological choices and innovations observed among them. Over the evaluated time period, we observed common methods and assumptions that are becoming more prominent in the RA CU modeling landscape, including patient-level simulations, two-stage models combining trial results and real-world evidence, real-world treatment durations, long-term health consequences, and Health Assessment Questionnaire (HAQ)-related hospitalization costs. Models that consider the societal perspective are increasingly being developed as well.Limitations: This review did not consider studies that did not report QALYs as a utility measure, models published only as conference abstracts, or cost-consequence models that did not report an incremental CU ratio.Conclusions: CU modeling for RA increasingly reflects real-world conditions and patient experiences which are anticipated to provide better information in the assessment of health technologies. Future CU models in RA should consider applying the observed advances in modeling choices to optimize their CU predictions and simulation of real-world outcomes.

Costs and complications associated with transvenous lead reoperation in cardiac implantable electronic devices.

BACKGROUND: Cardiac implantable electronic device transvenous (TV) lead reoperations are projected to increase, and robust economic data are needed to assess the resulting financial impact and the cost-effectiveness of prevention and treatment strategies. This study estimates Medicare costs, and describes patterns of complications, in patients who underwent TV lead reoperation. METHODS AND RESULTS: Medicare data (2010-2014) were used to identify patients who underwent TV lead reoperation. Cumulative costs to Medicare, and rates of infection and mechanical complications were calculated from 180 days before, to 180 days after, lead reoperation. Multivariate analysis was used to estimate adjusted costs, and to examine the impact of complications on medical resource use and costs. There were 1691 patients, 63.2% of whom underwent inpatient lead reoperation. Overall, the mean age was 78.2 years, 39.6% were female, and 92.3% were white. The mean cumulative cost was $36 199 (95% confidence interval [CI], $31 864-$40 535) for TV lead repositioning, $27 701 (95% CI, $19 869-$35 534) for repair, and $54 442 (95% CI, $51 651-$57 233) for removal. Underlying infection was associated with increased odds of inpatient reoperation and of lead removal, as well as longer length of stay and higher costs. CONCLUSIONS: The economic consequences of TV lead reoperation are substantial. Strategies aimed at reducing reoperation, particularly lead removal, are likely to result in considerable cost offsets.

Do Research Groups Align on an Intervention's Value? Concordance of Cost-Effectiveness Findings Between the Institute for Clinical and Economic Review and Other Health System Stakeholders.

The Institute for Clinical and Economic Review (ICER) employs fixed cost-effectiveness (CE) thresholds that guide their appraisal of an intervention's long-term economic value. Given ICER's rising influence in the healthcare field, we undertook an assessment of the concordance of ICER's CE findings to the published CE findings from other research groups (i.e., "non-ICER" researchers including life science manufacturers, academics, and government institutions). Disease areas and pharmaceutical interventions for comparison were determined based on ICER evaluations conducted from 1 January 2015 to 31 December 2017. A targeted literature search was conducted for non-ICER CE publications using PubMed. Studies had to be conducted from the US setting, include the same disease characteristics (e.g., disease severity; treatment history), incorporate the same pharmaceutical interventions and comparison groups, and present incremental costs per quality-adjusted life-year (QALY) gained from the healthcare sector or payer perspective. Discordance was measured as the proportion of unique interventions that would have had more favorable valuations (i.e., low, intermediate, high value-for-money) if the CE findings from other research groups had been used for decision making instead of ICER's findings. More favorable valuations were defined as transitioning from low value (as determined by ICER) to intermediate or high value (as determined by other researchers) and from intermediate value (as determined by ICER) to high value (as determined by other researchers). Among the 13 non-ICER studies meeting inclusion criteria, six disease areas and 14 interventions were assessed. Of the 14 interventions, a more favorable valuation would have been recommended for ten therapies if the CE ratios from other research groups had been used for decision making instead of ICER's findings, representing a 71.4% (10/14) discordance rate. Moreover, these discrepancies were found in each of the evaluated disease areas, with the largest number of discordant valuations found in rheumatoid arthritis (five out of six interventions were discordant) followed by one valuation each in multiple sclerosis (one out of three), non-small cell lung cancer (one out of two), multiple myeloma (one out of one), high cholesterol (one out of one), and congestive heart failure (one out of one). Our findings indicate high discordance when comparing ICER's appraisals to the CE findings of non-ICER researchers. To understand the value of new interventions, the totality of evidence on the CE of an intervention-including results from ICER and non-ICER modeling efforts-should be considered when making coverage and reimbursement decisions.

Economic Burden of Treatment-Resistant Depression on the U.S. Health Care System.

BACKGROUND: Treatment-resistant depression (TRD), defined as episodes of depression that do not respond to ≥ 2 lines of adequate depression therapy, is associated with a high economic burden. Although the economic burden of TRD is reported elsewhere, its exact magnitude and current value is uncertain due to differences in methodology in TRD identification. OBJECTIVE: To compare all-cause health care resource utilization (HCRU) and associated health care payments among patients with TRD and those with depression but without TRD, using administrative claims data. METHODS: This retrospective cohort study used data from the Truven Health MarketScan Commercial and Medicare Supplemental Databases (October 1, 2008-September 30, 2016). All patients were aged ≥ 18 years, newly diagnosed with depression (≥ 1 inpatient admission or ≥ 2 outpatient visits with a primary or secondary depression diagnosis), and newly treated with depression therapy. The population included patients with and without TRD. Patients with TRD were defined as having been treated with ≥ 3 courses of depression therapy within a 360-day period (initiation of the third course served as the TRD index date), while patients without TRD (non-TRD) were defined as having been treated with 2 courses of depression therapy. TRD and non-TRD cohorts were matched using propensity scores. Using the TRD index date of their matched TRD pair, non-TRD patients were assigned a simulated index date following second-line therapy. Eligible TRD and non-TRD patients were continuously enrolled from a 12-month baseline period before the first course of therapy through a 12-month follow-up period beginning with the TRD index date and simulated index date, respectively. Annual all-cause HCRU and associated payments (2016 U.S. dollars) were assessed in aggregate and by place of service during the follow-up period and were compared between the matched cohorts using nonparametric Wilcoxon signed-rank tests. RESULTS: The matched analysis included 800 patients in each cohort. For both cohorts, the mean age of patients was 39 years, and 60% were female. All clinical characteristics and all-cause HCRU were comparable at baseline. Compared with non-TRD patients, TRD patients had a significantly higher mean number of all-cause emergency department (ED) visits (0.29 vs. 0.24), outpatient visits (18.0 vs. 13.4), and prescriptions (30.0 vs. 24.0; all P < 0.05) during the 12-month follow-up period. The TRD cohort also had significantly higher mean total all-cause health care payments ($9,890 vs. $6,848; P < 0.001) and mean payments by place of service (ED: $518 vs. $408; outpatient: $3,603 vs. $2,585; pharmacy: $2,613 vs. $1,837; all P < 0.05) compared with the non-TRD cohort. CONCLUSIONS: In relation to propensity score-matched non-TRD patients, TRD patients used significantly more resources (ED visits, outpatient visits, and number of prescriptions) and had significantly higher overall health care payments. These results serve to highlight the unmet need in patients with TRD, suggesting that improved and more effective management of these patients may help reduce the economic burden of disease. DISCLOSURES: This study was funded by Alkermes. Sussman and Menzin, employees of Boston Health Economics, were paid consultants, and Olfson, an employee of Columbia University Irving Medical Center, was an unpaid consultant to Alkermes in connection with the study and development of this research article. O'Sullivan and Shah are employees of the study sponsor. Results from this analysis were first presented at the AMCP Managed Care & Specialty Pharmacy Annual Meeting in Boston, MA, on April 23-26, 2018.

Travel burden associated with rare cancers: The example of Merkel cell carcinoma.

BACKGROUND: There are limited data on the travel burden for cancer patients with rare tumor types, such as Merkel cell carcinoma (MCC). OBJECTIVE: The objective of this study was to understand the travel burden of MCC patients. METHODS: This study used data from an MCC registry at the Seattle Cancer Care Alliance (SCCA). All MCC patients enrolled at SCCA with a valid 3-digit ZIP code were included. Patients were followed up from January 1, 2012 until their last follow-up, death, or end of data (January 1, 2017). Travel burden was measured by one-way travel distance to SCCA from each patient's 3-digit ZIP code. Patient demographics, tumor characteristics, and follow-up visit were evaluated and stratified by one-way driving distance of ≤300 and >300 miles. RESULTS: A total of 391 MCC patients were included (68% men, mean age = 67 years [±SD = ±11 years], 67% residing in the West, and 70% white). At diagnosis, 53% of the patients had Stage III or IV MCC. Mean one-way distance traveled by patients was 1,137 (median: 813) miles, and 57% of patients traveled >300 miles. Compared to patients who traveled ≤300 miles, those who traveled >300 miles were more likely to be <70 years old (46% vs 65%; P < 0.001), were diagnosed with advanced stage (III or IV) MCC (46% vs 59%; P = 0.01), had shorter follow-up in the cancer registry (mean: 509 vs 212 days; P < 0.001), and had fewer visits during follow-up (mean: 5.2 vs 2.5; P < 0.001). CONCLUSIONS: In this single cancer center study, the majority of MCC patients trav-eled long distances to receive expert care. Longer travel distances appeared to be associated with younger age, a more advanced stage of cancer at study entry and fewer in-clinic visits, suggesting that travel burden may impact timely and adequate patient care for this rare cancer.

Cost-effectiveness analysis of erenumab for the preventive treatment of episodic and chronic migraine: Results from the US societal and payer perspectives.

Objectives To assess the cost-effectiveness of erenumab 140 mg ("erenumab") for the prophylactic treatment of episodic migraine and chronic migraine. Study design A hybrid Monte Carlo patient simulation and Markov cohort model was constructed to compare erenumab to no preventive treatment or onabotulinumtoxinA among adult ( ≥ 18 years) patients with episodic migraine and chronic migraine who failed prior preventive therapy from the US societal and payer perspectives. Methods Patients entered the model one at a time and were assigned to a post-treatment monthly migraine day category based on baseline monthly migraine days and treatment effect. Using monthly cycles, patients were followed for 2 years and accumulated costs and utilities associated with their post-treatment monthly migraine days. The primary outcome included the incremental cost-effectiveness ratio presented as cost per quality-adjusted life year gained. Results With an annual drug price of erenumab of $6900, treatment with erenumab in the societal perspective ranges from a dominant strategy versus no preventive treatment among chronic migraine patients to an incremental cost-effectiveness ratio of $122,167 versus no preventive treatment among episodic migraine patients. When excluding indirect costs (i.e. payer perspective), the incremental cost-effectiveness ratios are cost-effective among chronic migraine patients ($23,079 and $65,720 versus no preventive treatment and onabotulinumtoxinA, respectively), but not among episodic migraine patients ($180,012 versus no preventive treatment). Model results were sensitive to changes in monthly migraine days, health utilities, and treatment costs. Conclusion The use of erenumab may be a cost-effective approach to preventing monthly migraine days among patients with chronic migraine versus onabotulinumtoxinA and no preventive treatment in the societal and payer perspectives, but is less likely to offer good value for money for those with episodic migraine, unless lost productivity costs are considered.

Development and validation of a claims-based measure as an indicator for disease status in patients with multiple sclerosis treated with disease-modifying drugs.

BACKGROUND: Administrative healthcare claims data provide a mechanism for assessing and monitoring multiple sclerosis (MS) disease status across large, clinically representative "real-world" populations. The estimation of MS disease status using administrative claims can be a challenge, however, due to a lack of detailed clinical information. Retrospective claims analyses in MS have traditionally used rates of MS relapses to approximate disease status. Healthcare costs may be alternate, broader claims-based indicators of disease activity because costs reflect multiple facets of care of patients with MS, and there is a strong correlation between quality of life of patients with MS and costs of the disease. This study developed, tested, and validated a healthcare cost-based measure to serve as an indicator of overall disease status in patients with MS treated with disease-modifying drugs (DMDs) utilizing administrative claims. METHODS: Using IMS Health Real World Data Adjudicated Claims - US data (January 2006-June 2013), a negative binomial regression predicted annual all-cause medical costs. Coefficients reaching statistical significance (p < 0.05) and increasing costs by ≥5% were selected for inclusion into an MS-specific severity score (scale of 0 to 100). Components of the score included rehabilitation services, altered mental state, pain, disability, stiffness, balance disorder, urinary incontinence, numbness, malaise/fatigue, and infections. Coefficient weights represented each predictor's contribution. The predictive model was derived using 50% of a random sample and tested/validated using the remaining 50%. RESULTS: Average overall predicted annual total medical cost was $11,134 (development sample, n = 11,384, vs. $10,528 actual) and $11,303 (validation sample, n = 11,385, vs. $10,620 actual). The model had consistent bias (approximately +$600 or +6% of actual costs) for both samples. In the validation sample, mean MS disease status scores were 0.24, 8.95, and 21.77 for low, medium, and high tertiles, respectively. Mean costs were most accurately predicted among less severe patients ($5243 predicted vs. $5233 actual cost for lowest tertile). CONCLUSION: The algorithm developed in this study provides an initial step to helping understand and potentially predict cost changes for a commercially insured MS population.

Economic impact of hypoglycemia among insulin-treated patients with diabetes.

OBJECTIVE: The objective of this study was to assess the cost of hypoglycemic events among insulin-treated patients with diabetes and the potential cost savings to a hypothetical US health plan and employer of reducing hypoglycemic events with a device intervention. METHODS: A cost-calculator model was developed to estimate the direct costs of hypoglycemic events, accounting for diabetes type, age, and event severity. Model inputs were derived from published incidence rates of hypoglycemic events and direct medical costs. Assumed intervention efficacy was based on published studies of an emerging technology which yielded 72.2% (LGS Trial; ACTRN12610000024044) and 31.8% (ASPIRE Trial; NCT01497938) reductions in severe and non-severe hypoglycemic events, respectively. Model outcomes-including the number of severe (requiring medical assistance) and non-severe events, and direct/indirect medical costs (excluding intervention costs)-were evaluated over a 1-year period for a hypothetical health plan and employer perspectives. RESULTS: In a health plan with 10 million enrollees, patients without the intervention would have experienced 0.09 and 14.60 severe and non-severe hypoglycemic events per patient per year (PPPY), respectively (vs 0.02 severe and 9.96 non-severe events with the intervention). This translated into total direct medical cost savings of $45 million ($177 PPPY) for the health plan. For an employer with 100,000 employees, the intervention would have yielded additional savings of $492 PPPY in indirect costs. CONCLUSION: Insulin-treated patients experience hypoglycemic events, which are associated with substantial direct and indirect medical costs. The cost savings of reducing hypoglycemic events need to be weighed against the costs of using diabetes device interventions.

Patterns of Statin Use in a Real-World Population of Patients at High Cardiovascular Risk.

BACKGROUND: Widespread use of statins has improved hypercholesterolemia management, yet a significant proportion of patients remain at risk for cardiovascular (CV) events. Analyses of treatment patterns reveal inadequate intensity and duration of statin therapy among patients with hypercholesterolemia, and little is known about real-world statin use, specifically in subgroups of patients at high risk for CV events. OBJECTIVE: To examine patterns of statin use and outcomes among patients with high-risk features who newly initiated statin monotherapy. METHODS: Adult patients (aged > 18 years) at high CV risk who received > 1 prescription for statin monotherapy and who had not received lipid-modifying therapy during the previous 12 months were identified from the Truven MarketScan Commercial and Medicare Supplemental databases (from January 2007 to June 2013). Patients with atherosclerotic cardiovascular disease (ASCVD) or diabetes were hierarchically classified into 5 mutually exclusive CV risk categories (listed here in order from highest to lowest risk): (1) recent CV event (subcategorized by hospitalization for acute coronary syndrome [ACS] or other non-ACS CV event within 90 days of index); (2) coronary heart disease (CHD); (3) history of ischemic stroke; (4) peripheral artery disease (PAD); and (5) diabetes. Outcomes of interest included changes in therapy, proportion of days covered (PDC), time to discontinuation, and proportion of patients with ASCVD-related inpatient visit during the follow-up period. Statin therapy was subdivided into high-intensity treatment (atorvastatin 40 mg or 80 mg, rosuvastatin 20 mg or 40 mg, or simvastatin 80 mg) or moderate- to low-intensity treatment (all other statins and statin dosing regimens). Follow-up data were obtained from the index date (statin initiation) until the end of continuous enrollment. RESULTS: A total of 541,221 patients were included in the analysis. The majority of patients were stratified in the diabetes cohort (61.1%), followed in frequency by recent ACS event (15.8%), recent non-ACS CV event (9.9%), PAD (4.7%), CHD (4.4%), and history of ischemic stroke (4.1%). Only 15.0% of the population initiated therapy with a high-intensity statin, and 22.5% of these high-intensity statin initiators switched to a moderate- to low-intensity regimen during the follow-up period. Median time to statin discontinuation was approximately 15 months. Duration of treatment was longer among those who were treated with a high-intensity versus a moderate- to low-intensity statin regimen (21 and 15 months, respectively). The PDC was highest in the recent ACS hospitalization cohort (66.4%) and lowest in the diabetes cohort (55.5%). The PDC was significantly greater among patients who initiated treatment with a high-intensity statin regimen than with a moderate- to low-intensity statin regimen (62.1% vs. 57.5%, respectively; P< 0.001). At 1 year, Kaplan-Meier estimates of the cumulative rates for ASCVD-related hospitalizations ranged from 3.5% (diabetes) to 21.8% (recent ACS hospitalization). CONCLUSIONS: Patients at high risk for CV events are suboptimally dosed with statins, have high rates of discontinuation, and have low rates of adherence. Despite the use of statin therapy, ASCVD-related inpatient visit rates were high, particularly among those patients at highest risk because of a recent ACS hospitalization. Future interventions are required to ensure that high-risk patients are effectively managed to reduce subsequent morbidity and mortality. DISCLOSURES: Support for this research was provided by Regeneron Pharmaceuticals, Tarrytown, New York, and Sanofi US, Bridgewater, New Jersey. Menzin and Lin are employees of Boston Health Economics, which received consulting fees from Sanofi. Friedman is a consultant to Boston Health Economics. Lin, Friedman, and Menzin have received research support from Sanofi US. Sung, Mallya, Panaccio, and Koren are employees of Sanofi US and also have ownership interest in Sanofi US. Sanchez is an employee of and has ownership interest in Regeneron Pharmaceuticals. Neumann has served on advisory boards for Merck & Co, Takeda Pharmaceutical Company, Genentech, Novartis, Bayer AG, UCB, Sanofi US, Robert Wood Johnson Foundation, and Cubist and serves as consultant for Boston Health Economics, Forrest, P urdue, and Smith and Nephew. This research has been presented in part at the International Society for Pharmacoeconomics and Outcomes Research, 20th Annual International Meeting, May 16-20, 2015, Philadelphia, Pennsylvania. All authors contributed to the study design, protocol development, and results interpretation. Lin and Menzin were responsible for conducting the study analyses. All authors were involved in manuscript development and approved the submitted version.

Economic Evaluation of Linaclotide for the Treatment of Adult Patients With Chronic Idiopathic Constipation in the United States.

PURPOSE: To evaluate the effectiveness and costs of linaclotide (Linzess) versus lubiprostone (Amitiza) in the treatment of adult patients with chronic idiopathic constipation (CIC). DESIGN: A decision-tree model using model inputs derived from published literature, linaclotide phase 3 trial data, and a physician survey. METHODOLOGY: Measures of treatment efficacy were selected based on comparability between trial data, with posthoc analyses of linaclotide required to ensure comparability with available lubiprostone data. Response to therapy was defined as (1) having one of the best two satisfaction answers of a 5-point global treatment satisfaction scale at Week 4 or (2) having a weekly spontaneous bowel movement (SBM) frequency 4 at Week 4. Patients who do not respond to therapy are assumed to accrue costs associated with a treatment failure. Model time horizon is aligned with the lubiprostone clinical trial duration of 4 weeks. Model outputs include response rates, quality-adjusted life-years (QALYs) and direct costs. RESULTS: Linaclotide was associated with lower per-patient costs vs lubiprostone for both definitions of response ($946 vs $1,015 for global assessment and $727 vs $737 for SBM frequency). When treatment response was based on a global assessment of treatment satisfaction, linaclotide was associated with higher effectiveness (response: 39.3% vs 35.0%). For SBM frequency, linaclotide was slightly less effective compared to lubiprostone (response: 58.6% vs 59.6%), but also less costly. Base-case results were robust in sensitivity analysis. CONCLUSIONS: Linaclotide is less expensive with similar effectiveness when compared to lubiprostone for the treatment of CIC in adult patients.

Antithrombotic use and bleeding risk in patients with atrial fibrillation: findings from a multipayer analysis.

AIMS: To analyze administrative claims data from Medicaid, Medicare and commercial insurance sources to estimate stroke risk, bleeding risk, and the use of antithrombotic treatment in patients with atrial fibrillation (AF). METHODS: Included patients were aged ≥18 years with a new or existing diagnosis of AF. Outcomes were assessed over 1 year and included stroke risk (CHADS2/CHA2DS2-VASc score), bleeding risk (ATRIA score) and anticoagulant use. RESULTS: A total of 115,906 patients with AF met inclusion criteria between six databases. Among patients with high stroke risk (CHADS2 ≥2) and low bleeding risk (ATRIA 0-3), 42-82% did not receive an antithrombotic. CONCLUSION: Levels of thromboprophylaxis for high-risk AF patients in real-world data differ significantly from current medical guidelines for stroke prevention.

The impact of multimorbidity on quality of life among midlife women: findings from a U.S. nationally representative survey.

BACKGROUND: Little is known about the prevalence and cumulative burden of coexisting health conditions including chronic joint and muscular pain, urinary incontinence (UI), depression, osteoporosis risk, moderate/severe vasomotor symptoms, and vulvar/vaginal atrophy (VVA). We surveyed a nationally representative U.S. sample of midlife (age 40-64 years) women to ascertain the prevalence, general health-related quality of life (HRQoL), and health-seeking behaviors associated with these six conditions. METHODS: This cross-sectional, telephone survey collected data from a sample of English- and Spanish-speaking U.S. women. The survey contained demographic and menopausal status questions, and also five condition-specific symptom/disease risk-screening instruments. The EuroQol 5 dimensions (EQ-5D) questionnaire was used to measure HRQoL. Health-seeking behavior was measured based on clinician discussion of and recent treatment for each condition. RESULTS: Three thousand fifty eight women (mean age 53.4 years) completed the survey. The majority were white (75.6%), married (60.5%), employed full- or part-time (59.0%), and postmenopausal (69.8%; based on self-report). The prevalence [95% confidence interval] of 0, 1, 2, and ≥3 conditions was 35.2% [33.5-36.9], 34.2% [32.5-35.9], 17.9% [16.6-19.3], and 12.7% [11.5-13.9], respectively. Osteoporosis risk (30.6%) was most prevalent, followed by VVA (27.8%) and UI (26.6%). UI and VVA coexisted most frequently (11.3%), followed by osteoporosis risk and VVA (9.8%). EQ-5D scores decreased with increasing number of illnesses (0, 1, 2, and ≥3 conditions, means: 0.92, 0.87, 0.77, 0.61, respectively; p<0.01). Health-seeking behavior varied by condition. CONCLUSION: Over 25% of women surveyed had multiple coexisting conditions. Lower HRQoL was associated with multiple conditions and with each added condition.

Inhaled nitric oxide in term/late preterm neonates with hypoxic respiratory failure: estimating the financial impact of earlier use.

OBJECTIVE: We reported recently that early use of inhaled nitric oxide therapy (iNO) for term and late preterm infants with hypoxic respiratory failure (HRF) at an oxygenation index (OI) of ≥15 and <20 is associated with earlier discharge from the hospital, relative to babies treated at OI ≥25. The objective of the present analysis is to determine whether earlier use of iNO in this cohort leads to lower cost of medical care. METHODS: We used a decision-analytic model, which was developed to compare hospital resource use and costs associated with early versus standard use of iNO in HRF. The model population included infants with moderate HRF caused by primary pulmonary hypertension with an OI ≥15 and <20. A hypothetical case population of 1000 patients was assumed and probabilistic sensitivity analyses were completed where all the clinical inputs into the model were varied. Two deterministic sensitivity analyses were also completed, one surrounding the hospital cost inputs and another surrounding the cost of iNO. RESULTS: Early iNO was associated with fewer hospital days, fewer days of ventilation and fewer hours on extracorporeal membrane oxygenation (ECMO). In probabilistic sensitivity analyses, total costs per patient were $88,518 ± $7574 and $92,581 ± $9664 for early iNO and standard iNO, respectively. The probability of early iNO being cost-effective was approximately 72%, based on a willingness to pay $100,000 or less to prevent ECMO therapy and/or death. In both deterministic sensitivity analyses, early iNO was cost-saving. CONCLUSION: Our analysis shows that early use of iNO at an OI of ≥15 and <20 may be associated with shorter hospitalizations and a decreased cost of care for term/late preterm infants with HRF associated with pulmonary hypertension. Our results are based on clinical data from a single trial; future research using data from real-world practice is warranted.

Recurrent hospitalization and healthcare resource use among patients with deep vein thrombosis and pulmonary embolism: findings from a multi-payer analysis.

The objective of this study was to assess deep vein thrombosis and pulmonary embolism (DVT/PE) recurrence rates and resource utilization among patients with an initial DVT or PE event across multiple payer perspectives. Retrospective analyses were performed using a software tool that analyzes health plan claims to evaluate treatment patterns and resource utilization for various cardiovascular conditions. Six databases were analyzed from three payer perspectives (Commercial, Medicare, and Medicaid). Patients were ≥18 years old with a primary diagnosis of DVT or PE associated with an inpatient and/or emergency room claim, had received an antithrombotic within 7 days before or 14 days after index, and had no diagnosis of atrial fibrillation during follow-up. Outcomes were assessed over a 1 year period following index. More PE patients were hospitalized for their index event than DVT patients (42-59 % DVT and 69-86 % PE) and had longer mean length of stay (2.35-2.95 days DVT and 3.26-3.76 days PE). Recurrent event rates among PE patients (12-32 %) were higher than those for DVT patients (6-16 %) across all payers. The highest rate of recurrence was observed among the Medicaid population [23 % overall (VTE); 16 % DVT; 32 % PE]. All-cause hospitalization in the year following their VTE episode occurred in 23-67 % DVT patients and 30-68 % PE patients. Medicaid had the highest proportion of patients with hospitalizations and ER visits. Recurrent VTE events and all-cause hospitalizations are relatively common, especially for patients who had a PE, and among those in the Medicaid payer population.

Economic impact of psychiatric relapse and recidivism among adults with schizophrenia recently released from incarceration: a Markov model analysis.

OBJECTIVES: To develop an economic model that estimates the cost burden of psychiatric relapse and recidivism among patients with schizophrenia recently released from incarceration from a US state government perspective. METHODS: A Markov state-transition model was developed to estimate the numbers of schizophrenia patients recently-released from incarceration who would experience psychiatric relapse and/or arrest and re-incarceration over a period of 3 years, along with corresponding costs. The model includes three health states: (1) in community, on therapy, (2) in community, off therapy, and (3) incarcerated. It is assumed that a patient's probability of psychiatric hospitalization increases with treatment discontinuation, and the probability of arrest increases with the occurrence of a prior psychiatric hospitalization. Data from the US Census and Bureau of Justice Statistics were used to estimate the model population. Published literature was used to estimate the risks of psychiatric relapse, arrest, and all cost inputs. State-specific incarceration rates and sentence length data (from the state of Florida) were applied. The impact on outcomes and costs was evaluated by varying the rates of anti-psychotic treatment following release from incarceration and the annual risk of medication discontinuation. RESULTS: Among 34,500 persons released from incarceration in the state of Florida annually, 5307 were estimated to have schizophrenia. The cumulative 3-year costs to the state government were $21,146,000 and $25,616,000 for criminal justice and psychiatric hospitalization costs, respectively ($3984 per patient criminal justice; $4827 per patient hospitalization costs). A relative 20% increase in the proportion of patients receiving antipsychotic treatment following release from incarceration decreased total cumulative costs over 3 years by $1,871,100 ($353 per patient). CONCLUSIONS: The economic impact of psychiatric relapse and recidivism among patients with schizophrenia is substantial from the state government perspective. This general model can be made state-specific by utilizing local criminal justice data sources.

Economic evaluation of linaclotide for the treatment of adult patients with irritable bowel syndrome with constipation in the United States.

OBJECTIVES: To use techniques of decision-analytic modeling to evaluate the effectiveness and costs of linaclotide vs lubiprostone in the treatment of adult patients with irritable bowel syndrome with constipation (IBS-C). METHODS: Using model inputs derived from published literature, linaclotide Phase III trial data and a physician survey, a decision-tree model was constructed. Response to therapy was defined as (1) a ≥ 14-point increase from baseline in IBS-Quality-of-Life (IBS-QoL) questionnaire overall score at week 12 or (2) one of the top two responses (moderately/significantly relieved) on a 7-point IBS symptom relief question in ≥ 2 of 3 months. Patients who do not respond to therapy are assumed to fail therapy and accrue costs associated with a treatment failure. Model time horizon is aligned with clinical trial duration of 12 weeks. Model outputs include number of responders, quality-adjusted life-years (QALYs), and total costs (including direct and indirect). Both one-way and probabilistic sensitivity analyses were conducted. RESULTS: Treatment for IBS-C with linaclotide produced more responders than lubiprostone for both response definitions (19.3% vs 13.0% and 61.8% vs 57.2% for IBS-QoL and symptom relief, respectively), lower per-patient costs ($803 vs $911 and $977 vs $1056), and higher QALYs (0.1921 vs 0.1917 and 0.1909 vs 0.1894) over the 12-week time horizon. Results were similar for most one-way sensitivity analyses. In probabilistic sensitivity analyses, the majority of simulations resulted in linaclotide having higher treatment response rates and lower per-patient costs. LIMITATIONS: There are no available head-to-head trials that compare linaclotide with lubiprostone; therefore, placebo-adjusted estimates of relative efficacy were derived for model inputs. The time horizon for this model is relatively short, as it was limited to the duration of available clinical trial data. CONCLUSIONS: Linaclotide was found to be a less costly option vs lubiprostone for the treatment of adult patients with IBS-C.

Treatment patterns among elderly patients with stage IV breast cancer treated with HER-2-targeted therapy.

AIM: To evaluate treatment patterns among elderly, newly diagnosed stage IV breast cancer patients receiving HER-2-targeted therapy. METHODS: Women aged 65+ with an incident diagnosis of stage IV breast cancer (index) and no history of other cancer were identified from 2006 to 2010 linked Surveillance, Epidemiology and End RESULTS and Medicare data. Continuous enrollment from 1 year preindex (baseline) through disenrollment, death or the end of the data (follow-up) was required. Patients were required to receive HER-2-targeted therapy (trastuzumab or lapatinib) during follow-up. Treatment therapies during follow-up were evaluated, as was the distribution of treatment combinations. Initial treatment regimens were evaluated based on the treatment(s) received after index. A 42-day gap in therapy or the addition of a biologic therapy was used as a marker for a subsequent regimen. RESULTS: A total of 173 patients were identified (mean [standard deviation] age: 73.9 [6.7] years). The majority received trastuzumab (>93%) during follow-up (mean [standard deviation] duration: 24.3 [11.3] months), with 9.8% receiving lapatinib. Most received chemotherapy (83.2%), approximately half received surgery (55.5%), over 40% received hormonal therapy and a third received radiation (35.3%). Trastuzumab + chemotherapy was the most common initial treatment regimen (43.9%); less common therapies include trastuzumab alone (17.3%), and trastuzumab + chemotherapy + hormonal (13.3%). Among patients receiving chemotherapy, the majority received a taxane-based chemotherapy. The average treatment duration for any treatment regimen was just less than a year (44.9-52.5 weeks). CONCLUSION: Among this population, the majority received taxane-based combination chemotherapy, consistent with National Comprehensive Cancer Network guidelines.

Anticoagulant use for the prevention of stroke in patients with atrial fibrillation: findings from a multi-payer analysis.

BACKGROUND: Oral anticoagulation is recommended for stroke prevention in intermediate/high stroke risk atrial fibrillation (AF) patients. The objective of this study was to demonstrate the usefulness of analytic software tools for descriptive analyses of disease management in atrial AF; a secondary objective is to demonstrate patterns of potential anticoagulant undertreatment in AF. METHODS: Retrospective data analyses were performed using the Anticoagulant Quality Improvement Analyzer (AQuIA), a software tool designed to analyze health plan data. Two-year data from five databases were analyzed: IMS LifeLink (IMS), MarketScan Commercial (MarketScanCommercial), MarketScan Medicare Supplemental (MarketScanMedicare), Clinformatics™ DataMart, a product of OptumInsight Life Sciences (Optum), and a Medicaid Database (Medicaid). Included patients were ≥ 18 years old with a new or existing diagnosis of AF. The first observed AF diagnosis constituted the index date, with patient outcomes assessed over a one year period. Key study measures included stroke risk level, anticoagulant use, and frequency of International Normalized Ratio (INR) monitoring. RESULTS: High stroke risk (CHADS2 ≥ 2 points) was estimated in 54% (IMS), 22% (MarketScanCommercial), 64% (MarketscanMedicare), 42% (Optum) and 62% (Medicaid) of the total eligible population. Overall, 35%, 29%, 38%, 39% and 16% of all AF patients received an anticoagulant medication in IMS, MarketScanCommercial, MarketScanMedicare, Optum and Medicaid, respectively. Among patients at high risk for stroke, 19% to 51% received any anticoagulant. CONCLUSIONS: The AQuIA provided a consistent platform for analysis across multiple AF populations with varying baseline characteristics. Analyzer results show that many high-risk AF patients in selected commercial, Medicare-eligible, and Medicaid populations do not receive appropriate thromboprophylaxis, as recommended by treatment guidelines.

Survival, healthcare resource use and costs among stage IV ER + breast cancer patients not receiving HER2 targeted therapy: a retrospective analysis of linked SEER-Medicare data.

BACKGROUND: Few studies have evaluated survival, treatment, resource use, and costs among women with stage IV ER + breast cancer (BC) who did not receive HER2 targeted therapy. METHODS: Using linked Surveillance, Epidemiology, and End Results (SEER) and Medicare data from 2006-2009, women aged 66+ years with an incident diagnosis of stage IV ER + BC (index date) in 2007 and no HER2 targeted therapy were identified. A comparison cohort without cancer was created from the SEER 5% Medicare sample and matched 1:1 to the study cohort based on age, sex, and race. All patients had continuous enrollment for a 12-month baseline period prior to index and were followed until the end of the study window, disenrollment, or death, whichever came first. Resource utilization and costs (by place of service, reported per patient per month, PPPM) were compared across cohorts. Treatment patterns including receipt of surgery, radiation, chemotherapy, aromatase inhibitors (AI), and non-AI hormonal therapy were evaluated for study cohort patients with at least 2 months of follow-up. Kaplan-Meier survival analysis was also conducted. RESULTS: 325 women with stage IV ER + BC without HER2 targeted therapy were identified and matched to 325 women without cancer. Mean age was 77 years for both cohorts, with average follow-up of 18 months for study patients and 26 months for comparison patients. Compared to the comparison cohort, study patients had significantly higher mortality (60.3% versus 31.1%, P < 0.001), shorter survival (survival at 36 months 28% vs. 62%) and higher resource utilization across all settings except for oral prescription drugs. Total PPPM healthcare costs were also significantly higher among study patients ($7,271 vs. $1,778, P < 0.001). Approximately 57% of study patients with 2+ months of follow-up received chemotherapy and over 62% received an AI during follow-up. Within 4 months of cancer diagnosis, surgery and radiation were received by 39% and 32% of study patients, respectively. CONCLUSIONS: We found significant excess clinical and economic burden among women with stage IV ER + breast cancer who did not receive HER2 targeted therapy. Future studies with more precise and recent data are warranted to confirm and extend these results.