Health care resource utilization and costs associated with diagnosed medication overuse headache and potential acute medication overuse in individuals with migraine.

OBJECTIVE: Estimate health care resource utilization and costs associated with medication overuse headache and potential acute medication overuse. METHODS: A retrospective analysis was conducted with Clinformatics Data Mart data (1 January 2019-31 December 2019) that included continuously enrolled commercially insured adults with migraine (International Classification of Diseases, Tenth Revision, Clinical Modification [ICD-10-CM] code G43.xxx). Medication overuse headache was defined as ≥1 inpatient or ≥2 outpatient claims with an ICD-10-CM code G44.41/40 (drug-induced headache). Potential acute medication overuse was defined as possessing sufficient medication for >10 mean treatment days/month for ergots, triptans, opioids, or combination analgesics or >15 mean cumulative days/month for simple prescription analgesics (e.g., acetaminophen, aspirin, other non-opioid analgesics) for >6 consecutive months. All-cause and migraine-related health care resource utilization and costs were compared after adjusting for demographic and clinical characteristics. RESULTS: Among 90,017 individuals with migraine, the frequency of medication overuse headache/potential acute medication overuse was 12.6% (diagnosed medication overuse headache: 0.6%; potential acute medication overuse: 12.1%). Adjusted all-cause total costs ($31,235 vs $21,486; difference: $9,749 [P < 0.001]) and adjusted migraine-related total costs ($9,770 vs $6,207; difference: $3,563 [P < 0.001]) were higher in the medication overuse headache/potential acute medication overuse group versus those without medication overuse headache/potential acute medication overuse. CONCLUSIONS: Individuals with diagnosed medication overuse headache/potential acute medication overuse had higher all-cause and migraine-related health care resource utilization and costs versus individuals without medication overuse headache/potential acute medication overuse, suggesting that improved migraine management is needed to reduce associated costs.

Improved work productivity and health-related quality of life in patients with irritable bowel syndrome with diarrhea receiving eluxadoline following inadequate response to loperamide.

BACKGROUND: Irritable bowel syndrome with diarrhea (IBS-D) is a chronic disorder of gut-brain interaction that negatively affects work productivity and health-related quality of life (HRQOL). IBS-D therapeutic options are limited and include loperamide, an over-the-counter µ-opioid receptor agonist commonly used as an antidiarrheal agent, and eluxadoline, a mixed µ- and κ-opioid receptor agonist and δ-opioid receptor antagonist approved in the United States for the treatment of IBS-D in adults. OBJECTIVE: To characterize the effect of eluxadoline on work productivity and HRQOL in patients with IBS-D with previous inadequate response to loperamide. METHODS: The Work Productivity and Activity Impairment Questionnaire for IBS-D (WPAI:IBS-D), Centers for Disease Control and Prevention Healthy Days Core Module (CDC HRQOL-4), and EuroQoL-5 Dimension (EQ-5D) instruments were administered at baseline and week 12 of a phase 4 clinical trial (RELIEF), assessing the efficacy and safety of eluxadoline treatment in adults with IBS-D reporting previous inadequate response to loperamide. Changes from baseline to week 12 for each assessment were evaluated using an analysis of covariance model. Indirect costs were calculated by converting overall work productivity losses into monetary values. RESULTS: A total of 346 patients were randomized to either eluxadoline (n = 172) or placebo (n = 174). From baseline to week 12, compared with placebo, twice-daily treatment with eluxadoline resulted in significantly greater reductions in absenteeism (2.6%; P = 0.046). Numerically greater decreases in presenteeism, overall work productivity loss, and daily activity impairment were also observed in patients receiving eluxadoline compared with those receiving placebo (P = not significant for each). Numerical reductions in overall work productivity loss from baseline to week 12 translate to approximately 2.4 hours per patient per week (123 hours annually) and correspond to an avoided overall work loss of $4,503 annually for an employee with IBS-D treated with eluxadoline. In addition, from baseline to week 12, treatment with eluxadoline led to a significantly greater reduction in the number of unhealthy days experienced (-1.7 days; P = 0.042), as well as numerical improvements in EQ-5D measures in comparison with placebo (P = not significant for each). CONCLUSIONS: In patients with IBS-D reporting inadequate response to loperamide, eluxadoline treatment was associated with significant reductions in absenteeism and the number of unhealthy days experienced. Eluxadoline treatment of IBS-D may lead to significant cost savings via mitigation of losses in work productivity. DISCLOSURES: This study was sponsored by Allergan plc (before acquisition by AbbVie, Inc.). Allergan plc and/or AbbVie, Inc., was involved in the study design, collection, analysis, interpretation of the data, writing of the report, and the decision to submit the report for publication. Abel and Burslem are employees of AbbVie, Inc., and own stock/stock options. Brenner has served as a consultant, speaker, and/or advisor for Allergan plc (before acquisition by AbbVie, Inc.), Alnylam, Alpha Sigma, Arena, Bayer, Ironwood Pharmaceuticals, Salix Pharmaceuticals, Shire, Synergy, and Takeda Pharmaceuticals. He is also supported in research by an unrestricted gift from the Irene D. Pritzker Foundation. Sayuk has served as a consultant and speaker for Allergan plc (before acquisition by AbbVie, Inc.), Gi Health Foundation, Ironwood Pharmaceuticals, Salix Pharmaceuticals, and Synergy. Portions of the current work were presented at AMCP Nexus; October 22-25, 2018; Orlando, FL.

Budget Impact Analysis of Afatinib for First-Line Treatment of Patients with Metastatic Non-Small Cell Lung Cancer with Epidermal Growth Factor Receptor Exon 19 Deletions or Exon 21 Substitution Mutations in a U.S. Health Plan.

BACKGROUND: Afatinib is 1 of 3 tyrosine kinase inhibitors approved in the United States for the first-line treatment of patients with metastatic non-small cell lung cancer (NSCLC) whose tumors have epidermal growth factor receptor (EGFR) exon 19 deletions (del19) or exon 21 (L858R) substitution mutations. In clinical trials, afatinib has demonstrated improvement in progression-free survival versus standard chemotherapy and gefitinib. OBJECTIVE: To analyze the impact of increases in afatinib treatment share on the cost and health outcomes in a commercial health plan in the United States. METHODS: A decision model was developed to evaluate the budget impact of increases in afatinib share for the first-line treatment of patients with metastatic NSCLC with EGFR del19 or L858R substitution mutations over a 5-year time horizon. The model compared the total annual costs for a health plan with 1 million covered lives in a scenario in which afatinib share increased 5 percentage points annually to one in which all treatment shares remained constant over time. The number of patients eligible for treatment was estimated using published incidence data. Therapies included in the model were afatinib, erlotinib, gefitinib, and the chemotherapy doublet, pemetrexed in combination with cisplatin. The mean time spent by patients in progression-free and progressive disease states was based on survival data from clinical trials and a network meta-analysis. Therapy-related costs included monthly drug acquisition and administration costs and costs of managing adverse reactions. Disease management costs were also assessed in the model. Scenario analyses were performed to assess alternative scenarios of afatinib treatment share. Additionally, a one-way sensitivity analysis was performed to test the robustness of the model, given parameter uncertainty. RESULTS: Using the base-case parameter assumptions and a 5-percentage-point annual increase in afatinib treatment share, we estimated the total budget increases in years 1 through 5 to be $1,606, $65,542, $140,564, $209,272, and $303,368, respectively. These budget increases translated to per-member-per-month increases ranging from $0.00 to $0.03 in years 1 to 5. The increase in afatinib use resulted in the proportion of the treated population (134 patients treated over 5 years) remaining in progression-free disease increasing from 23.7% to 26.2% at the end of year 5, versus if afatinib treatment share had stayed constant. CONCLUSIONS: Increasing the treatment share of afatinib in a health plan for the first-line treatment of NSCLC with EGFR del19 or L858R mutations was estimated to increase the proportion of treated patients remaining in progression-free disease, while having small budget impact to the health plan. DISCLOSURES: Boehringer Ingelheim Pharmaceuticals funded this study research and was involved in all stages of study conduct, including the analysis of data, and also undertook all costs associated with the development and publication of this manuscript. Graham and Earnshaw are employees of RTI Health Solutions, an independent contract research organization that has received research funding for this and other studies from Boehringer Ingelheim Pharmaceuticals. Lim and Burslem are employees of Boehringer Ingelheim Pharmaceuticals, which developed and produces afatinib, along with other pharmaceutical products.

Impact of comorbid conditions in COPD patients on health care resource utilization and costs in a predominantly Medicare population.

BACKGROUND: Patients with chronic obstructive pulmonary disease (COPD) often have multiple underlying comorbidities, which may lead to increased health care resource utilization (HCRU) and costs. OBJECTIVE: To describe the comorbidity profiles of COPD patients and examine the associations between the presence of comorbidities and HCRU or health care costs. METHODS: A retrospective cohort study utilizing data from a large US national health plan with a predominantly Medicare population was conducted. COPD patients aged 40-89 years and continuously enrolled for 12 months prior to and 24 months after the first COPD diagnosis during the period of January 01, 2009, through December 31, 2010, were selected. Eleven comorbidities of interest were identified 12 months prior through 12 months after COPD diagnosis. All-cause and COPD-related hospitalizations and costs were assessed 24 months after diagnosis, and the associations with comorbidities were determined using multivariate statistical models. RESULTS: Ninety-two percent of 52,643 COPD patients identified had at least one of the 11 comorbidities. Congestive heart failure (CHF), coronary artery disease, and cerebrovascular disease (CVA) had the strongest associations with all-cause hospitalizations (mean ratio: 1.56, 1.32, and 1.30, respectively; P<0.0001); other comorbidities examined had moderate associations. CHF, anxiety, and sleep apnea had the strongest associations with COPD-related hospitalizations (mean ratio: 2.01, 1.32, and 1.21, respectively; P<0.0001); other comorbidities examined (except chronic kidney disease [CKD], obesity, and osteoarthritis) had moderate associations. All comorbidities assessed (except obesity and CKD) were associated with higher all-cause costs (mean ratio range: 1.07-1.54, P<0.0001). CHF, sleep apnea, anxiety, and osteoporosis were associated with higher COPD-related costs (mean ratio range: 1.08-1.67, P<0.0001), while CVA, CKD, obesity, osteoarthritis, and type 2 diabetes were associated with lower COPD-related costs. CONCLUSION: This study confirms that specific comorbidities among COPD patients add significant burden with higher HCRU and costs compared to patients without these comorbidities. Payers may use this information to develop tailored therapeutic interventions for improved management of patients with specific comorbidities.

Association between adherence to medications for COPD and medications for other chronic conditions in COPD patients.

BACKGROUND: Patients with COPD often have multiple comorbidities requiring use of multiple medications, and adherence rates for maintenance COPD (mCOPD) medications are already known to be suboptimal. Presence of comorbidities in COPD patients, and use of medications used to treat those comorbidities (non-COPD medications), may have an adverse impact on adherence to mCOPD medications. OBJECTIVE: The objective of the study was to evaluate the association between non-adherence to mCOPD medications and non-COPD medications in COPD patients. METHODS: COPD patients were identified using a large administrative claims database. Selected patients were 40-89 years old and continuously enrolled for 12 months prior to and 24 months after the first identified COPD diagnosis (index date) during January 1, 2009 to December 31, 2010. Patients were required to have ≥1 prescription for a mCOPD medication within 365 days of the index date and ≥1 prescription for one of 12 non-COPD medication classes within ±30 days of the first COPD prescription. Adherence (proportion of days covered [PDC]) was measured during 365 days following the first COPD prescription. The association between non-adherence (PDC <0.8) to mCOPD and non-adherence to non-COPD medications was determined using logistic regression, controlling for baseline patient characteristics. RESULTS: A total of 14,117 patients, with a mean age of 69.9 years, met study criteria. Of these, 40.9% were males and 79.2% were non-adherent to mCOPD medications with a mean PDC of 0.47. Non-adherence to mCOPD medications was associated with non-adherence to 10 of 12 non-COPD medication classes (odds ratio 1.38-1.78, all P<0.01). CONCLUSION: Adherence to mCOPD medications is low. Non-adherence (or adherence) to mCOPD medications is positively related to non-adherence (or adherence) to non-COPD medications, implying that the need to take medications prescribed for comorbid conditions does not adversely impact adherence to mCOPD medications.

Development and Validation of a Predictive Model to Identify Individuals Likely to Have Undiagnosed Chronic Obstructive Pulmonary Disease Using an Administrative Claims Database.

BACKGROUND: Despite the importance of early detection, delayed diagnosis of chronic obstructive pulmonary disease (COPD) is relatively common. Approximately 12 million people in the United States have undiagnosed COPD. Diagnosis of COPD is essential for the timely implementation of interventions, such as smoking cessation programs, drug therapies, and pulmonary rehabilitation, which are aimed at improving outcomes and slowing disease progression. OBJECTIVE: To develop and validate a predictive model to identify patients likely to have undiagnosed COPD using administrative claims data. METHODS: A predictive model was developed and validated utilizing a retro-spective cohort of patients with and without a COPD diagnosis (cases and controls), aged 40-89, with a minimum of 24 months of continuous health plan enrollment (Medicare Advantage Prescription Drug [MAPD] and commercial plans), and identified between January 1, 2009, and December 31, 2012, using Humana's claims database. Stratified random sampling based on plan type (commercial or MAPD) and index year was performed to ensure that cases and controls had a similar distribution of these variables. Cases and controls were compared to identify demographic, clinical, and health care resource utilization (HCRU) characteristics associated with a COPD diagnosis. Stepwise logistic regression (SLR), neural networking, and decision trees were used to develop a series of models. The models were trained, validated, and tested on randomly partitioned subsets of the sample (Training, Validation, and Test data subsets). Measures used to evaluate and compare the models included area under the curve (AUC); index of the receiver operating characteristics (ROC) curve; sensitivity, specificity, positive predictive value (PPV); and negative predictive value (NPV). The optimal model was selected based on AUC index on the Test data subset. RESULTS: A total of 50,880 cases and 50,880 controls were included, with MAPD patients comprising 92% of the study population. Compared with controls, cases had a statistically significantly higher comorbidity burden and HCRU (including hospitalizations, emergency room visits, and medical procedures). The optimal predictive model was generated using SLR, which included 34 variables that were statistically significantly associated with a COPD diagnosis. After adjusting for covariates, anticholinergic bronchodilators (OR = 3.336) and tobacco cessation counseling (OR = 2.871) were found to have a large influence on the model. The final predictive model had an AUC of 0.754, sensitivity of 60%, specificity of 78%, PPV of 73%, and an NPV of 66%. CONCLUSIONS: This claims-based predictive model provides an acceptable level of accuracy in identifying patients likely to have undiagnosed COPD in a large national health plan. Identification of patients with undiagnosed COPD may enable timely management and lead to improved health outcomes and reduced COPD-related health care expenditures.

COPD exacerbation frequency and its association with health care resource utilization and costs.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) exacerbations account for a substantial proportion of COPD-related costs. OBJECTIVE: To describe COPD exacerbation patterns and assess the association between exacerbation frequency and health care resource utilization (HCRU) and costs in patients with COPD in a Medicare population. METHODS: A retrospective cohort study utilizing data from a large US national health plan was conducted including patients with a COPD diagnosis during January 1, 2007 to December 31, 2012, aged 40-89 years and continuously enrolled in a Medicare Advantage Prescription Drug plan. Exacerbation frequency, HCRU, and costs were assessed during a 24-month period following the first COPD diagnosis (follow-up period). Four cohorts were created based on exacerbation frequency (zero, one, two, and ≥three). HCRU and costs were compared among the four cohorts using chi-square tests and analysis of variance, respectively. A trend analysis was performed to assess the association between exacerbation frequency and costs using generalized linear models. RESULTS: Of the included 52,459 patients, 44.3% had at least one exacerbation; 26.3%, 9.5%, and 8.5% had one, two, and ≥three exacerbations in the 24-month follow-up period, respectively. HCRU was significantly different among cohorts (all P<0.001). In patients with zero, one, two, and ≥three exacerbations, the percentages of patients experiencing all-cause hospitalizations were 49.7%, 66.4%, 69.7%, and 77.8%, respectively, and those experiencing COPD-related hospitalizations were 0%, 40.4%, 48.1%, and 60.5%, respectively. Mean all-cause total costs (medical and pharmacy) were more than twofold greater in patients with ≥three exacerbations compared to patients with zero exacerbations ($27,133 vs $56,033; P<0.001), whereas a greater than sevenfold difference was observed in mean COPD-related total costs ($1,605 vs $12,257; P<0.001). CONCLUSION: COPD patients frequently experience exacerbations. Increasing exacerbation frequency is associated with a multiplicative increase in all-cause and COPD-related costs. This underscores the importance of identifying COPD patients at risk of having frequent exacerbations for appropriate disease management.

Poor Asthma control among US workers: health-related quality of life, work impairment, and health care use.

OBJECTIVE: This study examined the impact of asthma control on health-related outcomes among employed US asthma sufferers treated with prescription medicines. METHODS: Data from the 2011 National Health and Wellness Survey (N = 75,000) were used. The Asthma Control Test, validated measures of health-related quality of life, work productivity and activity impairment, and questions assessing health care use were included. RESULTS: Of the 2026 employed asthma sufferers treated with prescription medicines included, 39.7% had Asthma Control Test scores indicating poorly controlled asthma. After adjusting for covariates, workers with poorly controlled asthma had worse health-related quality of life, work and activity impairment, and more health care use than those with well-controlled asthma. CONCLUSIONS: Poorly controlled asthma in employed patients treated with prescription medicines is common, and associated with negative health outcomes. Workers, employers, and payers could all benefit from improvements in asthma control.

How much does it cost a specialist palliative care unit to manage constipation in patients receiving opioid therapy?

The burden of constipation from the patient's perspective has been well described. The aim of this study was to evaluate the cost of managing constipation in patients taking opioids in a specialist palliative care inpatient unit. A retrospective review of the medical records of 58 patients (70 admissions) who died during a six-month period was undertaken to identify prescribing patterns for opioids and oral laxatives and tasks associated with managing constipation in these patients. A prospective time and motion study also was undertaken, whereby staff recorded the time and resources required to perform each task. These data were then applied to the actual frequency recorded in the retrospective review to calculate the direct cost of managing constipation in those 70 admissions during that six-month period. There was no discernable pattern in oral laxative prescribing. The mean cost of managing constipation was 29.81 pounds (48.74 USD) per admission, with staff time accounting for 85% of the cost. The most time-consuming activity was staff discussion about bowel management, which occurred at least once daily for doctors and twice for nurses and involved up to eight members of staff at a time. The cost of managing constipation is skewed in that it costs 30 pounds (49 USD) or less in 71% of admissions but exceeded 100 pounds (163 USD) in 5%. In the latter group, earlier and/or more effective intervention for constipation could lead to clinical and economic benefits.

Cost effectiveness of venlafaxine compared with generic fluoxetine or generic amitriptyline in major depressive disorder in the UK.

OBJECTIVE: To estimate the cost effectiveness of venlafaxine compared with generic fluoxetine and generic amitriptyline used in major depressive disorder in primary care in the UK. METHODS: A decision-tree model for the treatment of major depressive disorder was constructed using a Delphi panel. The tree was populated with clinical success rates from a pooled analysis of fluoxetine compared with venlafaxine and a clinical trial of amitriptyline compared with venlafaxine using remission as the key endpoint. Where there was insufficient data from clinical trials, the Delphi panel was used. Costs within the tree were taken from contemporary UK sources. Six-monthly costs, quality-adjusted life-years (QALYs) and incremental cost-effectiveness ratios were then estimated. RESULTS: Treatment costs for 6 months were pound1530 for venlafaxine, pound1539 for fluoxetine and pound1558 for amitriptyline (year of costing 2006). Cost effectiveness as assessed by incremental cost per QALY ratio at 8 weeks was pound20 600 for venlafaxine compared with fluoxetine, with fluoxetine dominating (being less costly and more effective than) amitriptyline. To test the robustness of the model a Rank Order Stability Assessment was performed that showed that even if fluoxetine and/or amitriptyline were given away free, a scenario starting with venlafaxine would still be the least costly treatment over a 6-month period. CONCLUSION: In this model, venlafaxine was shown to be a cost-effective alternative to generic fluoxetine and amitriptyline when used as a first-line therapy. Thus, cost of therapy should not be a barrier to use of venlafaxine as a first-line option in treating major depressive disorder in primary care in the UK.