Real-World Adherence to and Persistence with Vibegron in Patients with Overactive Bladder: A Retrospective Claims Analysis.

INTRODUCTION: Vibegron is a ß3-adrenergic receptor agonist approved for overactive bladder (OAB). This analysis assessed real-world adherence and persistence with vibegron in patients with OAB, along with demographics and clinical characteristics associated with adherence and persistence. METHODS: This retrospective study used the Optum Research Database to identify patients treated with vibegron from April 2021 to August 2022 (identification period). Patients had ≥ 60 days of continuous pharmacy coverage in a commercial or Medicare Advantage plan following the index fill (follow-up). Adherence was assessed as proportion of days covered (PDC) from index to end of follow-up and was defined as PDC ≥ 80%. Persistence was measured as days to discontinuation of therapy (30-day gap) or end of follow-up. Data for adherence and persistence are presented descriptively. Characteristics associated with adherence and persistence were analyzed using multivariable models among patients with medical and pharmacy benefits during the 90 days before index (baseline). RESULTS: Overall, 9992 patients had a vibegron claim during the identification period; 9712 had ≥ 2 months of follow-up. Mean (SD) age was 74.2 (10.7) years; 68.2% were female. Mean (SD) PDC was 0.64 (0.34). Median (95% confidence interval) persistence was 142 (132-153) days. Of the 5073 patients who were ≥ 18 years old with continuous baseline pharmacy and medical benefits ≥ 90 days before index, 2497 (49.2%) were adherent. Patients were more likely to be adherent and persistent if they received a greater days' supply for the index fill and had baseline medication count ≥ 6. Patients were more likely to discontinue if their index copay was > $45. CONCLUSION: Nearly half of the patients initiating vibegron were adherent. Factors associated with adherence and persistence were more likely to be related to prescribing practices than patient characteristics. These results suggest it may be best to follow up with patients approximately 4 to 5 months after initiating treatment with vibegron.

Vibegron is a newer drug for treating overactive bladder. Vibegron was safe and worked well in clinical trials. However, there is no information on use of vibegron in a real-world population that is not a clinical trial. This study looked at how consistently and how long patients took vibegron after starting it. It also looked at what was common in patients who took vibegron consistently. To do this, the study used pharmacy prescription data from April 2021 to August 2022. It examined adherence to the study medication for each patient. Adherence is how many days patients had medication on hand compared to how long they were followed. The study also looked at persistence to the study medication. Persistence is how long a patient takes a medication before they stop taking it. Researchers then examined if there were reasons a patient may or may not take vibegron as prescribed. The study included prescription data for 9712 patients. The average age was 74 years and 68% of patients were female. Patients had their medication 64% of the time (adherence). On average, patients took their medication for 142 days before stopping (persistence). Patients had better adherence and persistence if they received a larger supply of medication at the pharmacy when first prescribed the medication and if they had more medications overall. Patients' age and gender did not affect adherence and persistence. Vibegron may be a good option for patients with overactive bladder. Follow-up with a provider may be considered 4 to 5 months after starting vibegron.

Real-world use of inotuzumab ozogamicin is associated with lower health care costs than blinatumomab in patients with acute lymphoblastic leukemia in the first relapsed/refractory setting.

Aim: To compare all-cause and acute lymphoblastic leukemia (ALL)-related healthcare resource utilization (HCRU) and costs among patients receiving inotuzumab ozogamicin (InO) and blinatumomab (Blina) for ALL in the first relapsed/refractory (R/R) setting. Patients & methods: We studied retrospective claims for adult commercial and Medicare Advantage enrollees with ALL receiving InO (n = 29) or Blina (n = 23) from 1 January 2015 to 16 February 2021. Mean per-patient-per-month (PPPM) HCRU and total costs were described and multivariable-adjusted PPPM total all-cause and ALL-related predicted costs were calculated. Results: Mean monthly ALL-related hospitalizations were the same for patients receiving InO and Blina (PPPM = 0.8 stays); however, the length of ALL-related hospital stay was almost twice as long among patients receiving Blina versus InO (ALL-related: InO = 7.6 days; Blina = 14.1 days; p = 0.346). In multivariable models, total ALL-related costs were 43% lower for InO compared with Blina (PPPM costs: InO = $93,767; Blina = $163,470; p = 0.021). Conclusion: In the first R/R setting, patients who used InO had significantly lower all-cause and ALL-related costs compared with patients who used Blina, in part driven by hospitalization patterns.

Association Between Real-Time Continuous Glucose Monitor Use and Diabetes-Related Medical Costs for Patients with Type 2 Diabetes.

Little is known about the impact of real-time continuous glucose monitoring (rtCGM) on diabetes-related medical costs within the type 2 diabetes (T2D) population. A retrospective analysis of administrative claims data from the Optum Research Database was conducted. Changes in diabetes-related health care resource utilization costs were expressed as per-patient-per-month (PPPM) costs. A total of 571 T2D patients (90% insulin treated) met study inclusion criteria. Average PPPM for diabetes-related medical costs decreased by -$424 (95% confidence interval [CI] -$816 to -$31, P = 0.035) after initiating rtCGM. These reductions were driven, in part, by reductions in diabetes-related inpatient medical costs: -$358 (95% CI -$706 to -$10, P = 0.044). Inpatient hospital admissions were reduced on average -0.006 PPPM (P = 0.057) and total hospital days were reduced an average of -0.042 PPPM (P = 0.139). These findings provide real-world evidence that rtCGM use was associated with diabetes-related health care resource utilization cost reductions in patients with T2D.

Development and validation of a one year predictive model for secondary fractures in osteoporosis.

The number of osteoporosis-related fractures in the United States is no longer declining. Existing risk-based assessment tools focus on long-term risk. Payers and prescribers need additional tools to identify patients at risk for imminent fracture. We developed and validated a predictive model for secondary osteoporosis fractures in the year following an index fracture using administrative medical and pharmacy claims from the Optum Research Database and Symphony Health, PatientSource. Patients ≥50 years with a case-qualifying fracture identified using a validated claims-based algorithm were included. Logistic regression models were created with binary outcome of a second fracture versus no second fracture within a year of index fracture, with the goal of predicting second fracture occurrence. In the Optum Research Database, 197,104 patients were identified with a case-qualifying fracture (43% commercial, 57% Medicare Advantage). Using Symphony data, 1,852,818 met the inclusion/exclusion criteria. Average patient age was 70.09 (SD = 11.09) and 71.28 (SD = 14.24) years in the Optum Research Database and Symphony data, respectively. With the exception of history of falls (41.26% vs 18.74%) and opioid use (62.80% vs 46.78%), which were both higher in the Optum Research Database, the two populations were mostly comparable. A history of falls and steroid use, which were previously associated with increased fracture risk, continue to play an important role in secondary fractures. Conditions associated with bone health (liver disease), or those requiring medications that impact bone health (respiratory disease), and cardiovascular disease and stroke-which may share etiology or risk factors with osteoporosis fractures-were also predictors of imminent fractures. The model highlights the importance of assessment of patient characteristics beyond bone density, including patient comorbidities and concomitant medications associated with increased fall and fracture risk, in alignment with recently issued clinical guidelines for osteoporosis treatment.

Development and validation of a drug adherence index for COPD.

BACKGROUND: Inhaled medications are the mainstay of treatment for chronic obstructive pulmonary disease (COPD). Despite their importance, adherence to these medications is low. Low adherence is linked to increased exacerbation rates, mortality rates, health care utilization, and, ultimately, increased costs. A drug adherence index (DAI) is a predictive modeling tool that identifies patients most likely to change adherence status so that they can be targeted for support programs. Optum has previously developed DAI tools for diabetes, hypertension, and high cholesterol. In this study, a COPD-specific DAI was developed. This DAI tool could be used to better target medication adherence support in patients with COPD, aiming to increase adherence. OBJECTIVES: To develop a COPD-specific DAI using (a) enrollment, medical, and pharmacy variables and (b) only enrollment and pharmacy variables for potential application to pharmacy benefit managers and pharmacy plans. METHODS: This was a retrospective observational study using health care claims among Medicare Advantage with Part D beneficiaries with COPD in the United States. Potential predictors of adherence were measured during a 1-year baseline period. The adherence outcome was measured during a subsequent 1-year at-risk period. Adherence to long-acting bronchodilators was defined as a proportion of days covered (PDC) ≥80%. Nonadherence was defined as a PDC of <80%. Patients were stratified according to their adherence status at baseline, and logistic regression models were developed separately for each set of patients. Separate models were also developed using enrollment, medical, and pharmacy variables (primary objective) or using enrollment and pharmacy variables only (secondary objective). RESULTS: A total of 61,507 patients met all inclusion and exclusion criteria. For the primary objective, at baseline, 31,142 patients were adherent and 30,365 patients were nonadherent. The final DAI model used to predict future nonadherence included 30 covariates, with 7 predictors from medical claims. The validated model c-statistic was 0.752. The final DAI model used to predict future adherence included 29 covariates; only 4 predictors were from medical claims. The validated model c-statistic was 0.691. Findings were similar for the secondary objective using only enrollment and pharmacy variables. CONCLUSIONS: This DAI was developed and validated specifically to predict future adherence status to long-acting bronchodilator medications among patients with COPD. The DAI models performed better for predicting nonadherence than predicting adherence. Both organizations with medical and pharmacy data and organizations with only pharmacy data could utilize the DAI tool to target patients for adherence programs, as results were similar with and without the use of medical variables. DISCLOSURES: This study was sponsored and funded by GlaxoSmithKline (HO-16-17938). The study sponsor participated in the conception and design of the study, analysis and interpretation of the data, and drafting and critical revision of the report and approved submission of the manuscript. All authors had access to the results of the analyses, reviewed and edited the manuscript, approved the final draft, and were involved in the decision to submit the manuscript for publication. The data contained in the Optum database contain proprietary elements owned by Optum and, therefore, cannot be broadly disclosed or made publicly available at this time. The disclosure of these data to third parties assumes certain data security and privacy protocols are in place and that the third party has executed a license agreement that includes restrictive agreements governing the use of the data. Bengtson, Buikema, and Bankcroft are employees at Optum, and Schilling is a former employee of Optum; their employment was not contingent on this work. Optum was funded by GlaxoSmithKline to conduct the study. Stanford was an employee of GlaxoSmithKline at the time of this study and holds stock in GlaxoSmithKline.

Hepatitis C Screening Rates and Care Cascade in a Large US Insured Population, 2010-2016: Gaps to Elimination.

Understanding the health care system's ability to move patients through the hepatitis C virus (HCV) care cascade from screening to treatment is essential for HCV elimination. This retrospective study describes real-world HCV screening rates and care cascade steps to identify gaps in care for patients with HCV in the United States. Eligible patients were aged ≥18 years as of the measurement year (calendar year between January 1, 2010-December 31, 2016) and were commercial and Medicare Advantage with Part D members in the Optum Research database with continuous health plan enrollment 5 years prior to and during the measurement year. Incident and prevalent screening rates were calculated for each measurement year. Care cascade steps were analyzed via Kaplan-Meier analysis and logistic regression among patients with a positive HCV ribonucleic acid test. Cohorts were selected based on birth year (pre-1945 birth cohort, 1945-1965 birth cohort, post-1965 birth cohort). Among the 1945-1965 birth cohort, incident and prevalent screening rates increased from 1.6% to 4.7% and 10% to 18%, respectively, from 2010 to 2016. The proportion of patients attaining each independent cascade step within 1 year of screening increased significantly over time for genotype testing (P = 0.0283) and receipt of treatment (P < 0.0001). Median time from screening to treatment decreased from 1627 days (95% CI 1335-1871) in 2010 to 282 days (95% CI 223-498) in 2015. HCV screening and completion of the care cascade has improved for certain patient populations; however, gaps remain, highlighting the urgent need to address barriers to meeting HCV elimination goals.

Impact of mepolizumab on exacerbations in severe asthma: Results from a U.S. insurance claims data base.

Background: In controlled clinical studies, mepolizumab has been shown to reduce exacerbation rates and the use of oral corticosteroids as well as improve asthma control and health-related quality of life compared with placebo in patients with severe eosinophilic asthma. However, real-world data on the impact of mepolizumab on clinical outcomes are limited. Objective: To evaluate the effect of mepolizumab on asthma exacerbations and asthma exacerbation-related costs in patients with severe asthma in U.S. clinical practice. Methods: This retrospective cohort study used U.S. administrative claims data from patients ages ≥12 years and with severe asthma at mepolizumab treatment initiation (index date; identification period, January 2015-June 2017) who had received two or more mepolizumab administrations within 180 days of the index date and had no evidence of treatment with another asthma biologic. The exacerbation rate and exacerbation-related costs were assessed in both the 12 months before mepolizumab initiation (baseline period) and the following 12 months (follow-up period). A clinical trial-like cohort was identified, defined as patients with two or more baseline exacerbations and ≥10 administrations during follow-up. Results: A total of 201 patients were included in the overall population and 74 patients in the clinical trial-like cohort. Mepolizumab significantly reduced the exacerbation rate between the baseline and follow-up periods in both the overall population and the clinical trial-like cohort (p < 0.001), which corresponded to 33.6% and 48.6% reductions, respectively. The rate of exacerbations in patients who required hospitalization between the baseline and follow-up periods was also reduced by 35.3% (p = 0.080) and 68.2% (p = 0.015) in the overall population and in the clinical trial-like cohort, respectively. Cost data were inconclusive. Conclusion: This study, which used real-world data, demonstrated that mepolizumab is associated with reductions in asthma exacerbations, in line with the findings from controlled clinical studies. These results provided further evidence of the effectiveness of mepolizumab in a real-world setting.

Cost of Disease Progression in Patients with Metastatic Breast, Lung, and Colorectal Cancer.

INTRODUCTION: To reduce health care costs and improve care, payers and physician groups are piloting value-based and episodic or bundled-care payment models in oncology. Disease progression and associated costs may affect these models, particularly if such programs do not account for disease severity and progression risk across patient populations. This study estimated the incremental cost of disease progression in patients diagnosed with metastatic breast cancer (mBC), colorectal cancer (mCRC) and lung cancer (mLC) and compared costs among patients with and without progression. METHODS: This was a retrospective study using U.S. administrative claims data from commercial and Medicare Advantage health care enrollees with evidence of mBC, mCRC, and mLC and systemic antineoplastic agent use from July 1, 2006, to August 31, 2014. Outcome measures included disease progression, 12-month health care costs, and 3-year cumulative predictive health care costs. RESULTS: Of 5,709 patients with mBC, 3,707 patients with mCRC, and 5,201 patients with mLC, 56.8% of patients with mBC, 58.1% of those with mCRC, and 80.3% of those with mLC patients had evidence of disease progression over 12 months. Among patients with mBC and mCRC, adjusted and unadjusted health care costs were significantly higher among progressors versus nonprogressors. Per-patient-per-month costs, which accounted for variable follow-up time, were almost twice as high among progressors versus nonprogressors in patients with mBC, mCRC, and mLC. In each of the three cancer types, delays in progression were associated with lower health care costs. CONCLUSION: Progression of mLC, mBC, and mCRC was associated with higher health care costs over a 12-month period. Delayed cancer progression was associated with substantial cost reductions in patients with each of the three cancer types. IMPLICATIONS FOR PRACTICE: Data on the rates and incremental health care costs of disease progression in patients with solid tumor cancers are lacking. This study estimated the incremental costs of disease progression in patients diagnosed with lung cancer, breast cancer, and colorectal cancer and compared health care costs in patients with and without evidence of disease progression in a real-world population. The data obtained in our study quantify the economic value of delaying or preventing disease progression and may inform payers and physician groups about value-based payment programs.

Cost of Disease Progression in Patients with Chronic Lymphocytic Leukemia, Acute Myeloid Leukemia, and Non-Hodgkin's Lymphoma.

INTRODUCTION: To reduce health care costs and improve care, payers and physician groups are switching to quality-based and episodic or bundled-care models. Disease progression and associated costs may affect these models, particularly if such programs do not account for differences in disease severity and progression risk within the cohort. This study estimated the incremental cost of disease progression in patients diagnosed with chronic lymphoid leukemia (CLL), acute myeloid leukemia (AML), and non-Hodgkin's lymphoma (NHL) and compared costs among patients with and without progression. METHODS: This was a retrospective study using U.S. administrative claims data from commercial and Medicare Advantage health care enrollees with evidence of CLL, AML, and NHL and systemic antineoplastic agent use from July 1, 2006 to August 31, 2014. Outcome measures included disease progression, 12-month health care costs, and 3-year cumulative predictive health care costs. RESULTS: Of 1,056 patients with CLL, 514 patients with AML, and 7,601 patients with NHL, 31.1% of patients with CLL, 63.8% of those with AML, and 36.9% of those with NHL had evidence of disease progression. Among patients with CLL and NHL, adjusted and unadjusted health care costs were significantly higher among progressors versus nonprogressors. Per-patient-per-month costs, accounting for variable follow-up time, were almost twice as high among progressors versus nonprogressors in patients with CLL, AML, and NHL. In each of the three cancer types, the longer disease progression was delayed, the lower the health care costs. CONCLUSION: Progression of CLL, AML, and NHL was associated with higher health care costs over a 12-month period. Delaying cancer progression resulted in a substantial cost reduction in patients with all three cancer types. IMPLICATIONS FOR PRACTICE: Data on the rates and incremental health care costs of disease progression in patients with hematologic malignancies are lacking. This study estimated the incremental costs of disease progression in patients diagnosed with chronic lymphocytic leukemia, acute myeloid leukemia, and non-Hodgkin's lymphoma and compared health care costs in patients with and without evidence of disease progression in a real-world population. The data obtained in this study will assist future studies in quantifying the cost impact of decreased progression rates and will inform payers and physician groups about setting rates for episode and bundled payment programs.

Burden of Illness Associated with Tenosynovial Giant Cell Tumors.

PURPOSE: Little is known about the burden of illness in patients with tenosynovial giant cell tumors (TGCT), which are rare, typically benign, lesions of the synovial tissue including giant cell tumor of the tendon sheath (GCT-TS) and pigmented villonodular synovitis (PVNS). The objective of this study was to describe health care resource use and costs for patients with GCT-TS and PVNS, which are rare and typically benign TGCT. METHODS: A retrospective cohort study design was used to analyze administrative claims for adult commercial and Medicare Advantage health plan enrollees with evidence of GCT-TS and PVNS from January 1, 2006 through March 31, 2015. Participants were continuously enrolled for 12 months before (pre-index period) and 12 months after (post-index period) the date of the first tenosynovial giant cell tumor (TGCT) claim (index date). Preindex and postindex measures were compared using the McNemar test and Wilcoxon signed-rank test. Results were stratified by TGCT type. FINDINGS: The study identified 4664 patients with TGCT, 284 with GCT-TS, and 4380 with PVNS. Mean age (GCT-TS group: 50 years; PVNS group: 51 years) and sex distributions (GCT-TS group: 60.2% female; PVNS group: 59.5% female) were similar for each group. Most patients with GCT-TS (78.2%) had at least one postindex surgery, compared with 38.7% of patients with PVNS. Mean total health care costs increased from $8943 in the preindex period to $14,880 in the postindex period (P < 0.001) for GCT-TS and from $13,221 in the preindex period to $17,728 in the postindex period (P < 0.001) for PVNS. Preindex to postindex ambulatory costs increased nearly 120% for patients with GCT-TS ($4340 to $9570, P < 0.001) and 50% for patients with PVNS ($6782 to $10,278, P < 0.001), and physical therapy use increased significantly during the same period (GCT-TS: 18% to 40%, P < 0.001; PVNS: 38% to 60%, P < 0.001). IMPLICATIONS: Costs increased substantially 1 year after the first TGCT claim, with more than half the costs covering ambulatory care. These results suggest a high health care burden once TGCT is identified.

Health Care Resource Use and Costs Pre- and Post-Treatment Initiation With Linaclotide: Retrospective Analyses of a U.S. Insured Population.

As expected, pharmacy costs increased with the introduction of this new treatment in a market dominated by over-the-counter and generic treatments. On the other hand, outpatient GI-related and irritable bowel disease health care resource use and costs substantially decreased among commercial and Medicare patients following linaclotide treatment initiation.

Drivers of Healthcare Costs Among the Costliest Patients With Psoriasis Over Three Years in a United States Health Plan.

OBJECTIVE: To compare patients with psoriasis by cost level over 3 years.

METHODS: Psoriasis patients in a large US health plan in 2011-2013 were identified. Four groups were created by healthcare costs excluding biologics: patients having top 10% of costs in all 3 years (Top), top 10% in 2 of 3 years (High), bottom 90% in 2 of 3 years (Medium), and bottom 90% in all 3 years (Bottom). Comorbidities, utilization, and costs between groups were compared.

RESULTS: The study included 18,653 patients: 514 (3%), 805 (4%), 2,443 (13%), and 14,891 (80%) patients in the Top, High, Medium, and Bottom groups, respectively. Significantly more patients in the Top vs Bottom group had diabetes (31.1% vs 9.4%), cardiovascular disease (26.5% vs 4.3%), psoriatic arthritis (25.7% vs 10.7%), depression (27.8% vs 6.9%), and anxiety (22.0% vs 7.9%) in 2011 (all P less than 0.05). Patients in the Top group had more unique 2011 prescriptions (17.7 vs 6.6; P less than 0.001) than the Bottom group, but similar biologic use (22.4% vs 21.6%). Patients in the Top, High, Medium, and Bottom groups had mean 2011 total costs of $68,913, $40,575, $24,292, and $8,815, and contributed to 14%, 13%, 23%, and 51% of the overall costs, respectively. Mean total costs increased 14-18% over time for all groups. Although mean 2011 total costs for patients in the Top group were 7.8 times of those in the Bottom group, psoriasis-related costs were less disparate ($8,716 vs $4,541). Compared with patients in the Bottom group, those in the Top group were more likely to have any 2011 hospitalization (36.8% vs 2.6%; psoriasis-related: 11.1% vs 0.7%) or emergency visit (50.8% vs 20.8%; psoriasis-related: 3.9% vs 1.0%).

CONCLUSION: The costliest patients with psoriasis had significantly higher prevalence of comorbidities, prescription fills, inpatient and emergency utilization, but not biologic medication use or biologic costs.

J Drugs Dermatol. 2017;16(7):651-658.

Rethinking costs of psoriasis: 10% of patients account for nearly 40% of healthcare expenditures among enrollees with psoriasis in a U.S. health plan.

OBJECTIVE: To examine characteristics, healthcare utilization and costs among patients with psoriasis who have high medical costs. METHODS: This is a retrospective study of patients with psoriasis with continuous enrollment from 1 January 2011 to 31 December 2013 in a large US health plan. Total paid 2012 healthcare costs excluding biologics (to identify costliest not due to biologic costs) were used to create cohorts representing the top 10% (T10) and bottom 90% (B90) of expenditures. Demographics, comorbidities, prescriptions, all-cause and psoriasis-related healthcare utilization and costs were compared between cohorts. Logistic regression identified demographic and clinical characteristics associated with the 2012 T10 cohort status. RESULTS: 18,653 patients (mean age 48 years; 49% female) were included. Patients in the T10 group accounted for 26% (2011), 39% (2012) and 26% (2013) of all-cause costs including biologics and 13% (2011), 18% (2012) and 11% (2013) of psoriasis-related costs. Mean 2012 total costs were $58,030 for T10 vs. $10,295 for B90 (all-cause) and $10,475 vs. $5301 (psoriasis-related). T10 patients in 2012 filled more prescriptions and were more likely to use corticosteroids (57% vs. 31%); however, biologic use and costs were similar (any use: 23% vs. 24%; prescriptions: 1.5 vs. 1.7, biologic costs: $4959 vs. $5095). Compared with B90 patients, T10 patients were more likely to have hospitalizations (all-cause: 45% vs. 3%; psoriasis-related: 14% vs. 1%) and ER visits (all-cause: 53% vs. 21%; psoriasis-related: 3% vs. 1%), and more likely to have renal disease (odds ratio (OR) = 2.05), depression (OR =1.96), cardiovascular disease (OR =1.88), psoriatic arthritis (OR =1.57) and diabetes (OR =1.50) (all p < .05). CONCLUSIONS: The T10 patient cohort in 2012 accounted for nearly 40% of overall healthcare expenditures. However, cost differences between the T10 and B90 patients were not attributable to psoriasis-related biologic treatment utilization and costs. The T10 patients had significantly more inpatient and emergency utilization, and comorbid medical conditions.

Impact of a Novel Cost-Saving Pharmacy Program on Pregabalin Use and Health Care Costs.

BACKGROUND: Pharmacy cost-saving programs often aim to reduce costs for members and payers by encouraging use of lower-tier or generic medications and lower-cost sales channels. In 2010, a national U.S. health plan began a novel pharmacy program directed at reducing pharmacy expenditures for targeted medications, including pregabalin. The program provided multiple options to avoid higher cost sharing: use mail order pharmacy or switch to a lower-cost alternative medication via mail order or retail. Members who did not choose any option eventually paid the full retail cost of pregabalin. OBJECTIVE: To evaluate the impact of the pharmacy program on pregabalin and alternative medication use, health care costs, and health care utilization. METHODS: This retrospective analysis of claims data included adult commercial health plan members with a retail claim for pregabalin in the first 13 months of the pharmacy program (identification [ID] period: February 1, 2010-February 28, 2011). Members whose benefit plan included the pharmacy program were assigned to the program cohort; all others were assigned to the nonprogram cohort. The program cohort index date was the first retail pregabalin claim during the ID period and after the program start; the nonprogram cohort index date was the first retail pregabalin claim during the ID period. All members were continuously enrolled for 12 months pre- and post-index and had at least 1 inpatient claim or ≥ 2 ambulatory visit claims for a pregabalin-indicated condition. Cohorts were propensity score matched (PSM) 1:1 with logistic regression on demographic and pre-index characteristics, including mail order and pregabalin use, comorbidity, health care costs, and health care utilization. Pregabalin, gabapentin and other alternative medication use, health care costs, and health care utilization were measured. The program cohort was also divided into 2 groups: members who changed to gabapentin post-index and those who did not. A difference-in-differences (DiD) analysis was used to compare the between-cohort change in pregabalin and alternative medication use patterns, health care costs, and health care resource utilization from pre- to post-index. The within-cohort change from pre- to post-index was analyzed by McNemar's test (categorical variables) or paired t-test (continuous variables). The Rao-Scott chi-square test (categorical) and general estimating equations (continuous) were used to analyze between-cohort differences at each time point. Differences in program member characteristics of those who changed versus those who did not change to gabapentin post-index were assessed by traditional chi-square test (categorical) or two-sample t-test (continuous variables). RESULTS: A total of 1,218 members in each cohort were PSM. Mean age was 51 years, 76.7% were women, and the most common pregabalin-indicated condition was fibromyalgia (77.6%). After the program start, the mean number of pregabalin claims from mail order and retail combined decreased in the program cohort from 4.7 pre-index to 3.8 post-index, and increased in the nonprogram cohort from 4.7 pre-index to 6.2 post-index (DiD, P < 0.001). Pregabalin mail order use increased from 3.1% to 48.1% of program members versus 2.8% to 9.4% of nonprogram members (DiD, P < 0.001). Program members were also more likely to change to the anticonvulsant gabapentin post-index than were nonprogram members (31.0% vs. 15.9%, P < 0.001). Mean total health care costs were similar between cohorts, and the pre- to post-index change did not differ between cohorts (DiD, P = 0.474). However, mean total pharmacy costs rose from pre-index to post-index by $820 and $790 in the program and nonprogram cohorts, respectively (both P < 0.001); the increase was similar between cohorts (DiD, P = 0.888). Program members who changed to gabapentin had a higher mean comorbidity score (P = 0.001) and greater post-index use of opioids, alternative medications, and health care resources (P < 0.050) than program members who did not change to gabapentin. CONCLUSIONS: The pharmacy program increased mail order use of pregabalin but reduced pregabalin claims from any venue. Program members were more likely to change to gabapentin than were nonprogram members, and those who changed had higher comorbidity, use of alternative medication, and health care resources. Despite increased mail order use for pregabalin and greater change to gabapentin by program members, the pharmacy program was not cost saving with respect to mean pharmacy or total health care costs.

Health Care Resource Utilization, Costs, and Persistence in Patients Newly Diagnosed as Having Nonvalvular Atrial Fibrillation and Newly Treated With Dabigatran versus Warfarin in the United States.

PURPOSE: This study compared health care resource utilization (HCRU), costs, and persistence among patients newly diagnosed as having nonvalvular atrial fibrillation (NVAF) and newly treated with dabigatran versus warfarin. METHODS: This retrospective claims-based study used data from a large US managed care organization. The earliest claim for dabigatran or warfarin during October 1, 2010 through October 31, 2011 was the index date, with cohort assignment based on index medication. Evidence of newly diagnosed NVAF within 30 days before the index date and no claims for oral anticoagulants during the 12-month preindex period were required. Cohorts were matched using propensity scores. Per-patient-per-month HCRU, costs, and persistence were calculated during the variable follow-up period of up to 12 months after the index date. Descriptive and multivariable analyses were used to examine differences in outcomes. FINDINGS: After matching, 869 patients per cohort were identified (mean age, 67.8 years; 40.4% female). Compared with warfarin, dabigatran had fewer per-patient-per-month emergency department (0.10 vs 0.13, P = 0.010), office (1.98 vs 2.96, P < 0.001), and outpatient (1.05 vs 1.48, P < 0.001) visits. Despite higher mean pharmacy costs for dabigatran (P < 0.001), mean total health care (P = 0.309) and medical costs (P = 0.568) were similar to warfarin. Persistence was higher with dabigatran versus warfarin (median, 204 vs 161 days; mean, 213.7 vs 195.5 days, P = 0.001). IMPLICATIONS: Among patients newly diagnosed as having NVAF, those newly treated with dabigatran had lower HCRU, higher persistence, and similar total health care costs compared with those treated with warfarin.

The economic burden of pulmonary arterial hypertension (PAH) in the US on payers and patients.

BACKGROUND: Pulmonary arterial hypertension (PAH) is a rare condition that can ultimately lead to right heart failure and death. In this study we estimated the health care costs and resource utilization associated with PAH in a large US managed care health plan. METHODS: Subjects with claims-based evidence of PAH from 1/1/2004 to 6/30/2010 (identification period) were selected. To be included in the final PAH study sample, subjects were required to have ≥2 claims with a primary PH diagnosis; ≥2 claims with a PAH related-diagnosis (connective tissue diseases, congenital heart diseases, portal hypertension); and ≥1 claim with evidence of a PAH-indicated medication. The earliest date of a claim with evidence of PAH-indicated medication during the identification period was set as the index date. Health care costs and resource utilization were compared between an annualized baseline period and a 12 month follow-up period. RESULTS: 504 PAH subjects were selected for the final study cohort. Estimated average total health care costs were approximately 16% lower in the follow-up period compared to the baseline period (follow-up costs = $98,243 [SD = 110,615] vs. baseline costs = $116,681 [SD = 368,094], p < 0.001), but substantively high in each period relative to costs reported for other chronic diseases. Pharmacy costs were significantly higher in the follow-up period vs. the baseline period, ($38,514 [SD = 34,817] vs. $6,440 [SD = 12,186], p < 0.001) but medical costs were significantly lower in the follow-up vs. baseline ($59,729 [SD = 106,683] vs. $110,241 [SD = 368,725], p < 0.001). These costs were mirrored in health-care resource utilization estimates. The average counts of ambulatory visits and inpatient stays were lower in the follow-up vs. the baseline (both p < 0.001). Results varied in exploratory analyses when less restrictive subject identification algorithms were used. CONCLUSIONS: Subjects with evidence of PAH had substantively high health care costs. Medical costs appeared to decrease following PAH medication use, but with a concomitant increase in pharmacy costs.

Medical costs and healthcare resource use in patients with lupus nephritis and neuropsychiatric lupus in an insured population.

OBJECTIVE: Systemic lupus erythematosus (SLE) is a chronic autoimmune disease that can affect multiple organ systems, including the kidneys (lupus nephritis) and the central nervous system (neuropsychiatric lupus, or NPSLE). The healthcare costs and resource utilization associated with treating lupus nephritis and NPSLE in a large US managed care plan were studied. METHODS: SLE subjects ≥18 years of age and with claims-based evidence of nephritis or neuropsychiatric conditions were identified from a health plan database. An index date was set as a randomly drawn date from all qualifying claims during 2003-2008 for study subjects. Subjects were matched on the basis of demographic and clinical characteristics to unaffected controls. Costs and resource use were determined during a fixed 12-month post-index period. RESULTS: Nine hundred and seven lupus nephritis subjects were matched to controls, and 1062 subjects with NPSLE were matched to controls. Mean overall post-index healthcare costs were significantly higher among subjects with lupus nephritis in comparison to matched controls ($33,472 vs $5347, p < 0.001). Similarly, mean overall post-index healthcare costs were significantly higher among subjects with NPSLE compared to controls ($30,341 vs $4646, p < 0.001). Subjects with lupus nephritis or NPSLE had higher mean post-index numbers of ambulatory visits, specialist visits, emergency department visits and inpatient hospital stays, compared to controls (all p < 0.001). LIMITATIONS: Additional research, such as medical chart review, could provide validation for the claims-based identification of lupus nephritis and NPSLE subjects. Also, indirect costs were not evaluated in this study. CONCLUSION: Subjects with lupus nephritis or NPSLE have high costs and resource use, compared to unaffected controls.

Annual medical costs and healthcare resource use in patients with systemic sclerosis in an insured population.

OBJECTIVE: Systemic sclerosis (SSc) is a chronic autoimmune disease. The objective of our study was to estimate the medical costs and healthcare resource use of subjects with SSc in a large US managed care plan. METHODS: Subjects at least 18 years of age and with claims-based evidence of SSc (ICD-9-CM code 710.1x) were identified from a health plan database from 2003 through 2008. Subjects were matched to unaffected controls, based on index date, age, sex, geographic region, time on insurance, and comorbidity score. Costs and resource use were identified during the 12-month postindex period. A generalized linear model (GLM) was used to estimate costs, controlling for demographic and clinical characteristics. RESULTS: In this study, 1648 subjects with SSc were matched to 4944 controls. Mean overall annual medical costs were higher among SSc subjects than controls ($17,365 vs $5,508; p < 0.001). A GLM model supported these results. Evidence of lung disease, gastrointestinal bleeding, or renal disease increased costs (all p < 0.001). Compared to controls, significantly higher proportions of SSc subjects had postindex ambulatory visits, emergency department visits, and inpatient hospital stays (all p < 0.001). CONCLUSION: Our findings suggest that the medical costs and resource use associated with treating SSc are high (compared to matched controls), and as expected, subjects with serious disease complications experience the highest costs.

Medical costs and health-care resource use in patients with inflammatory myopathies in an insured population.

INTRODUCTION: In this study we determined the health-care costs and resource utilization associated with idiopathic inflammatory myopathies (IIMs) in a large managed care plan in the USA. METHODS: Myositis subjects ≥18 years of age with claims-based evidence of IIMs were identified from a health plan database. Subjects were matched with unaffected controls, and costs and resource use were determined during a 12-month period. RESULTS: A total of 1781 newly diagnosed IIM subjects were matched to 5343 controls, and 2697 subjects with existing disease were matched to 8091 controls. Mean overall annual medical costs were higher among newly diagnosed subjects ($16,319 vs. $4926, P < 0.001) and subjects with an existing IIM ($15,539 vs. $5210, P < 0.001) in comparison to controls. IIM subjects had significantly higher mean counts of ambulatory visits, specialist visits, and inpatient hospital stays compared with controls (all P < 0.001). CONCLUSION: Our analysis suggests that IIMs have increased medical costs and resource use.

Epidemiology of systemic sclerosis in a large US managed care population.

OBJECTIVE: To estimate the incidence and prevalence of systemic sclerosis (SSc) in a large US managed care organization (MCO) database. METHODS: Subjects with claims-based evidence of SSc (ICD-9-CM code 710.1x) were identified from a health plan database. Incidence and prevalence for the period 2003-2008 were calculated. RESULTS: The overall age- and sex-adjusted incidence rate (2003-2008) for SSc was 5.6 cases per 100,000 person-years. The annual prevalence of SSc ranged from 13.5 in 2003 to 18.4 (per 100,000) in 2008. CONCLUSION: This analysis suggests a higher incidence and lower prevalence of SSc in this MCO than those previously reported for the United States.