Determinants of health-related quality of life in international graduate students

INTRODUCTION

International graduate students often experience additional levels of stress due to acculturation. Given the impact of stress on health outcomes (both physical and mental), this study examined the health-related quality of life (HRQoL) in international graduate students to determine its association with acculturative stress, perceived stress, and use of coping mechanisms.

METHODS

A cross-sectional, self-administered survey was designed and sent to 38 student chapters within the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) student network. HRQoL [physical component summary (PCS) and mental component summary (MCS)] was measured using the 12-item Short Form (SF-12) while coping mechanisms were assessed using the Brief COPE Scale. Acculturative and perceived stress were assessed using the Acculturative Stress Scale for International students [ASSIS] and Graduate Stress Inventory-Revised (GSI-R), respectively. Demographic and personal information (e.g. age, religion) were also collected. Descriptive statistics (mean ± SD and frequency) and hierarchical multiple regression analysis were conducted.

RESULTS

The average PCS and MCS were 60 ± 9 and 44 ± 13, respectively, indicating that while the physical health was above the United States (US) general population norm (50), mental health scores were lower. Findings from the hierarchical multiple regression showed that perceived and acculturative stress significantly predicted mental health. Acculturative stress was also a significant predictor of physical health.

CONCLUSION

The results from this study support the hypothesis that international students in the US experience both perceived and acculturative stress that significantly impacts their HRQoL. Universities should consider providing education on stress reduction techniques to improve the health of international graduate students.

Predictors of Appropriate Pharmacotherapy Management of COPD Exacerbations and Impact on 6-Month Readmission

BACKGROUND

Suboptimal treatment of exacerbations is a major concern in management of chronic obstructive pulmonary disease (COPD). The Pharmacotherapy Management of COPD Exacerbation (PCE) Healthcare Effectiveness Data and Information Set (HEDIS) measure is a quality measure included by the National Committee for Quality Assurance that focuses on appropriate use of steroids and bronchodilators during an acute COPD exacerbation. There is limited evidence evaluating predictors of this quality measure, as well as its association with hospital readmission and cost outcomes.

OBJECTIVES

To (a) describe characteristics of patients hospitalized for COPD, (b) evaluate factors associated with appropriate receipt of pharmacotherapy upon discharge, and (c) evaluate factors associated with the rate of readmission.

METHODS

In this retrospective, observational, event-based study of COPD-related hospital and ED visits, events were identified between 2007 and 2013 from a Central Texas health plan using administrative claims data. The index date was defined as the date of admission. Subjects were included if they were aged ≥ 40 years and had a medical claim with a primary diagnosis for COPD or a pharmacy claim for a COPD maintenance medication during the 1-year pre-index period. Study groups were identified based on the receipt of PCE within the time frame specified by HEDIS: (a) a systemic corticosteroid within 14 days of discharge (PCE-C) or (b) a bronchodilator within 30 days of discharge (PCE-D). Bivariate analyses of potential factors associated with the receipt of PCE were performed using t-tests for continuous data and chi-square tests for categorical data. Generalized estimating equations, including significant predictors from the bivariate analyses, were used to determine factors associated with receipt of PCE-C and/or PCE-D, as well association with COPD-related and all-cause readmission within 6 months of discharge.

RESULTS

Of 375 identified index admissions, 254 (68%) patients received PCE-C; 299 (80%) received PCE-D; and 229 (61%) received both. Patients were more likely to receive PCE with an index inpatient visit as compared with an ED visit (PCE-C: RR = 2.25, 95% CI = 1.21-4.17, P = 0.010; PCE-D: RR = 1.90, 95% CI = 1.01-3.58, P = 0.048). Those with previous use of rescue medication were also more likely to receive PCE (PCE-C: RR = 1.88, 95% CI = 1.12-3.17, P = 0.018; PCE-D: RR = 2.11, 95% CI = 1.16-3.83, P = 0.014). Patients with greater adherence (proportion of days covered [PDC] ≥ 75%) to COPD maintenance medication before admission (RR = 8.67, 95% CI = 1.60-46.78, P = 0.012) were also more likely to receive PCE-D. Older patients were more likely to have a COPD-related readmission (RR = 1.07, 95% CI = 1.01-1.13, P = 0.028), while use of maintenance medication before admission was associated with lower risk of an all-cause readmission (RR = 0.49, 95% CI = 0.30-0.79, P = 0.004). In addition, patients with higher medical and pharmacy costs before the index event were more likely to have all-cause readmission (RR = 1.01, 95% CI = 1.00-1.02, P = 0.013). Receipt of PCE was not shown to be a significant predictor of all-cause or COPD-related readmission.

CONCLUSIONS

The use of bronchodilators and systemic corticosteroids after a COPD-related inpatient or ED visit may be related to the severity of the index COPD exacerbation or patients' previous pattern of bronchodilator use. However, the use of maintenance medication before the index event was associated with a significant reduction in all-cause readmission, so proper treatment of the underlying disease may be an effective strategy in reducing readmission.

DISCLOSURES

Funding for this study was provided by GlaxoSmithKline (HO-14-15081). Tran was a Fellow at Scott & White Health Plan (SWHP) during year 1 of this study and a Fellow at Novartis during year 2 of this study. Novartis did not have any input in this study nor did it contribute any funding or support for this research. Tran, Xiang, Godley, and Stock were employed by SWHP at the time of this study. Rascati is employed by the University of Texas at Austin and also by the Journal of Managed Care & Specialty Pharmacy and has received consulting fees from GlaxoSmithKline. Coleman, Bogart, and Stanford are GlaxoSmithKline employees and shareholders. Study design was created by Rascati, Tran, and Godley, with assistance from Stock, Coleman, Bogart, and Stanford. Tran and Xiang collected the data, with data analysis and interpretation performed by Stock and Rascati. The manuscript was written by Tran, Rascati, and Xiang and revised by Godley, Stock, Coleman, Bogart, and Stanford.

Prediction of Change in Prescription Ingredient Costs and Co-payment Rates under a Reference Pricing System in South Korea

BACKGROUND

The reference pricing system (RPS) establishes reference prices within interchangeable reference groupings. For drugs priced higher than the reference point, patients pay the difference between the reference price and the total price.

OBJECTIVES

To predict potential changes in prescription ingredient costs and co-payment rates after implementation of an RPS in South Korea.

METHODS

Korean National Health Insurance claims data were used as a baseline to develop possible RPS models. Five components of a potential RPS policy were varied: reference groupings, reference pricing methods, co-pay reduction programs, manufacturer price reductions, and increased drug substitutions. The potential changes for prescription ingredient costs and co-payment rates were predicted for the various scenarios.

RESULTS

It was predicted that transferring the difference (total price minus reference price) from the insurer to patients would reduce ingredient costs from 1.4% to 22.8% for the third-party payer (government), but patient co-payment rates would increase from a baseline of 20.4% to 22.0% using chemical groupings and to 25.0% using therapeutic groupings. Savings rates in prescription ingredient costs (government and patient combined) were predicted to range from 1.6% to 13.7% depending on various scenarios. Although the co-payment rate would increase, a 15% price reduction by manufacturers coupled with a substitution rate of 30% would result in a decrease in the co-payment amount (change in absolute dollars vs. change in rates).

CONCLUSIONS

Our models predicted that the implementation of RPS in South Korea would lead to savings in ingredient costs for the third-party payer and co-payments for patients with potential scenarios.

Adherence, Persistence, and Health Care Costs for Patients Receiving Dipeptidyl Peptidase-4 Inhibitors

BACKGROUND

The dipeptidyl peptidase-4 (DPP-4) inhibitors are among the newer, yet more established, classes of diabetes medications.

OBJECTIVE

To compare adherence, persistence, and health care costs among patients taking DPP-4 inhibitors.

METHODS

Claims were extracted from Humana Medicare Advantage Prescription Drug (MAPD) or commercial plans for patients aged > 18 years with ≥ 1 prescription filled for a DPP-4 inhibitor between July 1, 2011, and March 31, 2013. The first prescription claim for a DPP-4 inhibitor established the index date and index medication; 12-month pre-index and post-index data were analyzed. The Diabetes Complications Severity Index (DCSI) was used to assess a level of baseline diabetes-related comorbidities. Adherence (proportion of days covered [PDC] ≥ 80%) and persistence (< 31-day gap) measures were compared before and after, adjusting for DCSI, pre-index insulin, age, and gender. Post-index costs (in 2013 U.S. dollars) were compared using general linear modeling (GLM) to adjust for pre-index costs, DCSI, pre-index insulin, age, and gender.

RESULTS

Based on study criteria, 22,860 patients with MAPD coverage (17,292 sitagliptin, 4,282 saxagliptin, and 1,286 linagliptin) and 3,229 patients with commercial coverage (2,368 sitagliptin, 643 saxagliptin, and 218 linagliptin) were included. For MAPD patients, the mean age was 70-72 years, and females represented 50%-52% of patients. For commercial patients, mean age was 55-56 years, and females represented 44% of patients. Clinical indicators for patients on linagliptin showed a higher comorbidity level than sitagliptin or saxagliptin cohorts (MAPD DCSI 3.0 vs 2.4 and 2.2, P < 0.001; commercial DCSI 1.2 vs. 0.9 and 0.9, P < 0.001); a higher use of pre-index insulin (MAPD 22% vs. 15% and 14%, P < 0.001; commercial 18% vs. 11% and 10%, P = 0.003); and higher mean pre-index costs (MAPD $14,448 vs. $11,818 and $10,399, P < 0.001; commercial $13,868 vs. $9,357 and $8,223, P = 0.016). For the MAPD cohort, the unadjusted PDC was lower for linagliptin patients (67%) compared with saxagliptin (72%) or sitagliptin (72%) patients (P < 0.001). Significant differences were still seen when adjusted for covariates. Linagliptin patients were more likely to be nonpersistent (73%) than those on saxagliptin (65%) or sitagliptin (67%; P < 0.01 for adjusted and unadjusted comparisons). For the commercial population, there were no significant differences in mean PDC between the 3 groups (linagliptin 70%, saxagliptin 72%, and sitagliptin 74%; P = 0.096). Dichotomized comparisons of nonpersistence were significantly different (linagliptin 65%, saxagliptin 62%, and sitagliptin 57%; P = 0.010), although upon adjustment using a Cox proportional hazard model, no significant differences were found. When controlling for other factors, post-index adjusted health care costs were similar between the medication cohorts (MAPD: sitagliptin = $13,913, saxagliptin = $13,651, and linagliptin = $13,859; commercial: sitagliptin = $11,677, saxagliptin = $12,059, and linagliptin = $11,163; all P > 0.25).

CONCLUSIONS

For MAPD and commercial populations, baseline patient demographics were similar between the 3 DPP-4 inhibitor groups, but the linagliptin group may have had more complex patients (higher pre-index costs, higher DCSI, and more use of insulin). For the MAPD population, patients on linagliptin were less adherent and persistent than patients taking sitagliptin or saxagliptin for all unadjusted and adjusted comparisons. For the commercial population, which was notably smaller, these differences were in the same direction, but not all were statistically significant. When controlling for baseline factors, 12-month post-index direct medical health care costs were similar between index DPP-4 inhibitors.

DISCLOSURES

No external funding was provided for this research. The project was done as part of internal work by Humana employees. Rascati received no compensation. None of the authors have any financial disclosures or conflicts of interests to report. Worley and Everhart are employees of Comprehensive Health Insights, a subsidiary of Humana, and Meah is an employee of Humana. Discussion of the adherence and persistence data was presented as a poster at the Academy of Managed Care Pharmacy Nexus Conference, October 2015. Cost data were presented as a poster at the International Society for Pharmacoeconomics and Outcomes Research 18th Annual European Congress, November 2015. Study concept and design were contributed by Rascati, Worley, and Meah, along with Everhart. Rascati took the lead in data collection, assisted by Meah, and data interpretation was performed by all the authors. The manuscript was written primarily by Rascati, along with Worley, Everhart, and Meah, and revised by Rascati, Everhart, and Worley, with assistance from Meah.

Direct and indirect costs among patients with binge-eating disorder in the United States

OBJECTIVE

To quantify the economic burden of binge-eating disorder (BED) in terms of work productivity loss, healthcare resource utilization, and healthcare costs.

METHODS

Respondents of the US National Health and Wellness Survey 2013 were invited to participate in a follow-up internet survey to identify adults with BED using DSM-5 criteria. Work productivity loss, healthcare resource utilization, and direct and indirect costs were assessed for BED respondents and matched non-BED respondents using generalized linear models or two-part models as appropriate.

RESULTS

A total of 1,720 people were included in our analysis (N = 344 with BED; N= 1,376 without BED). BED respondents had higher levels of activity impairment than non-BED respondents (41.29% vs. 23.18%, p < .001). Employed BED respondents (N = 178) had a greater level of work impairment than employed non-BED respondents (N = 686) (36.83% vs. 14.41%, p = .009). Higher healthcare resource utilization in the past 6 months among BED respondents was reported than matched non-BED respondents: numbers of surgeries (0.23 vs. 0.13, p = .021), ER visits (0.26 vs. 0.15, p = .016), and physician visits (6.09 vs. 4.56, p = .002). BED respondents reported higher total direct costs than matched non-BED respondents ($20,194 vs. $14,465, p = .005). The indirect costs among employed BED respondents were also higher than those without BED ($19,327 vs. $9,032, p < .001).

DISCUSSION

Individuals with BED reported significantly greater economic burden with respect to work productivity loss, level of healthcare resource utilization, and costs compared to non-BED respondents. © 2016 Wiley Periodicals, Inc.(Int J Eat Disord 2017; 50:523-532).

Medication Adherence and Persistence in Patients with Severe Major Depressive Disorder with Psychotic Features: Antidepressant and Second-Generation Antipsychotic Therapy Versus Antidepressant Monotherapy

BACKGROUND

Major depressive disorder with psychotic features, or psychotic depression, is a severe mental health disorder often associated with a worse depression-related symptom profile when compared with major depressive disorder without psychotic features. While combination pharmacotherapy with an antidepressant and an antipsychotic is recommended as first-line therapy, antidepressant monotherapy has been found to be useful and efficacious in psychotic depression.

OBJECTIVE

To assess the rates of antidepressant adherence and antidepressant persistence in Texas Medicaid patients with psychotic depression who used antidepressant plus second-generation antipsychotic (AD/SGA) therapy or antidepressant (AD) monotherapy.

METHODS

Using Texas Medicaid prescription and medical claims data from September 2007 to December 2012, adult patients aged 18-63 years were included if they had no confounding psychiatric disorders, no antidepressant claims during a 6-month pre-index period, and at least 1 diagnosis for severe major depressive disorder with psychotic features (ICD-9-CM codes 296.24 and 296.34). The first claim date for an antidepressant served as the index date. All patients were required to have at least 2 antidepressant claims, and those in the AD/SGA cohort were required to have 2 or more claims for an SGA. Study covariates included age, gender, race/ethnicity, residence, Charlson Comorbidity Index (CCI) score, and tobacco use/dependence. Statistical analyses included descriptive statistics, univariate analyses, logistic regression, and Cox proportional hazards regression.

RESULTS

A total of 926 patients met study criteria (AD cohort = 510; AD/SGA cohort = 416). The overall sample had a mean [±SD] age of 40.5 [±13.2] years and was primarily female (66.8%) and non-Caucasian (74.8%). When compared with the AD cohort, patients in the AD/SGA cohort had a 52.3% higher likelihood of being adherent to antidepressant therapy based on proportion of days covered (PDC; OR = 1.523; 95% CI = 1.129-2.053; P = 0.006). Similarly, antidepressant adherence was 42.0% higher for the AD/SGA cohort based on medication possession ratio (MPR; OR = 1.420; 95% CI = 1.062-1.898; P = 0.018). Younger patients, African Americans, and tobacco users/dependents had significantly worse likelihoods of antidepressant medication adherence based on PDC and MPR. The risk of antidepressant nonpersistence was 23.2% lower for patients in the AD/SGA cohort (HR = 0.768; 95% CI = 0.659-0.896; P = 0.001), compared with those in the AD cohort. Antidepressant nonpersistence was significantly higher in younger patients, African Americans, Hispanics, and tobacco users/dependents.

CONCLUSIONS

Better antidepressant adherence and persistence outcomes were associated with combination pharmacotherapy with an AD and an SGA antipsychotic. This study provides real-world estimates that support the current first-line treatment recommendations for psychotic depression; however, it should be noted that the majority of study patients used AD therapy only. Future research in psychotic depression is needed.

DISCLOSURES

Kim-Romo received funding to conduct this study from the PhRMA Foundation Pre-Doctoral Fellowship in Health Outcomes. Rascati, Richards, Ford, Wilson, and Beretvas declare no conflict of interest in relation to this manuscript. Kim-Romo and Rascati collaborated on the study design, data analysis, study interpretation, and writing of this manuscript. Richards, Ford, Wilson, and Beretvas provided critical evaluation of the study design, analysis, and interpretation, as well as edited this manuscript.

Asthma Controller Medication Adherence, Risk of Exacerbation, and Use of Rescue Agents Among Texas Medicaid Patients with Persistent Asthma

BACKGROUND

Adherence to asthma long-term controller medications is one of the key drivers to improve asthma management among patients with persistent asthma. While suboptimal use of controller medications has been found to be associated with more frequent use of oral corticosteroids (OCS), few studies exist regarding the relationship between adherence to controller therapy and the use of short-acting beta2-agonists (SABAs). A better understanding of the association between adherence to asthma controller agents and use of reliever medications will help health care providers and decision makers enhance asthma management.

OBJECTIVE

To determine if there is a relationship between asthma controller adherence, risk of exacerbation requiring OCS, and use of asthma rescue agents.

METHODS

Texas Medicaid claims data from January 1, 2008, to August 31, 2011, were retrospectively analyzed. Continuously enrolled patients aged 5-63 years with a primary diagnosis of asthma (ICD-9-CM code 493) and with 4 or more prescription claims for any asthma medication in 1 year (persistent asthma) were included. The index date was the date of the first asthma controller prescription, and patients were followed for 1 year. The primary outcome variables were SABA (dichotomous: less than  6 vs. ≥ 6) and OCS (continuous) use. The primary independent variable was adherence (proportion of days covered [PDC]) to asthma long-term controller medications. Covariates included demographics and nonstudy medication utilization. Multivariate logistic and linear regression analyses were employed to address the study objective.

RESULTS

The study sample (n = 32,172) was aged 15.0 ± 14.5 years, and adherence to controller therapy was 32.2% ± 19.7%. The mean number of SABA claims was 3.7 ± 3.1, with most patients having 1-5 claims (73.2%), whereas 19.4% had ≥ 6 SABA claims. The mean number of OCS claims was 1.0 ± 1.4. Adherent (PDC ≥ 50%) patients were 96.7% (OR = 1.967; 95% CI = 1.826-2.120) more likely to have ≥ 6 SABA claims when compared with nonadherent (PDC  less than  50%) patients (P  less than  0.001). As for OCS use, adherent patients had 0.11 fewer claims compared with nonadherent patients (P  less than  0.001). Importantly, patients with ≥ 6 SABA claims had 0.7 more OCS claims compared with patients with less than  6 claims for SABA (P  less than  0.001). The odds of having ≥ 6 SABA claims were higher for concurrent dual therapy users, older age, males, African Americans and higher number of nonstudy medications (P  less than  0.001). Dual therapy users, younger age, Hispanic ethnicity, and higher number of nonstudy medications were associated with an increase in OCS use (P  less than  0.005).

CONCLUSIONS

Adherence to long-term controller medications was suboptimal among patients with asthma. Adherent patients had fewer OCS claims, indicating that adherence to controller therapy is critical in preventing asthma exacerbations requiring OCS use. Although there was a positive relationship between adherence to long-term controller medication and SABA use, increased SABA use served as a predictor of increased OCS use, which indicates poor asthma control. Health care providers should be aware of OCS and SABA use among patients who are both adherent and nonadherent to asthma controller medications.

Health Costs and Outcomes Associated with Medicare Part D Prescription Drug Cost-Sharing in Beneficiaries on Dialysis

BACKGROUND

High out-of-pocket costs for prescription medications have been associated with poor patient outcomes. A previous study found that the Part D coverage gap was significantly associated with decreases in adherence and persistence for medications frequently used in patients undergoing dialysis. It is not known what effect the decreased use of prescription drugs associated with the coverage gap had on utilization and spending for other medical care. 

OBJECTIVE

To determine the relationship between the Part D prescription drug cost-sharing structure and health and economic outcomes in Medicare beneficiaries on dialysis.

METHODS

A retrospective analysis using data from the United States Renal Data System (2006-2008) was conducted for Medicare-eligible patients receiving dialysis. Patients were grouped in 1 of 4 cohorts based on low-income subsidy (LIS) receipt and benefit phase in 2007: Cohort 1 (non-LIS and did not reach the coverage gap); Cohort 2 (non-LIS and reached the coverage gap); Cohort 3 (non-LIS and reached catastrophic coverage after the gap); and Cohort 4 (received an LIS, and none of the LIS patients reached the coverage gap). Outcomes included medical care utilization, direct medical costs, and mortality. 

RESULTS

A total of 11,732 subjects met the inclusion criteria. Patients in Cohorts 1, 2, and 3 had $3,222 lower, $2,457 lower, and $1,182 higher adjusted pharmacy costs (P  less than  0.001), but their adjusted hospitalization costs were $1,499 (P = 0.09), $2,287 (P = 0.01), and $2,959 (P = 0.01) higher, respectively, compared with Cohort 4 (LIS). In the propensity score-matched cohorts, patients who reached the coverage gap (Cohort 2) had higher rates of hospitalization (relative risk [RR] = 1.02, 95% CI = 0.94-1.10), outpatient visits (RR = 1.16, 95% CI = 1.08-1.25), and other visits (RR = 1.17, 95% CI = 1.03-1.32) compared with those who had an LIS (Cohort 4). Patients in Cohort 3 had a higher rate of outpatient visits compared with those in Cohort 4 (RR = 1.14, 95% CI = 1.03-1.25). There were no differences in medical care utilization between patients in Cohort 1 and Cohort 4. Compared with patients in Cohort 4 (LIS), patients in Cohort 2 (those who reached the coverage gap) had 9% higher hospitalization costs (RR = 1.09, 95% CI = 1.01-1.18) and 6% higher outpatient costs (RR = 1.06, 95% CI = 0.97-1.17), respectively. During the 1-year follow-up period, patients in Cohort 2 had a 20% (HR = 1.20, 95% CI = 1.05-1.37) and a 22% (HR = 1.22, 95% CI = 1.01-1.47) increased risk of all-cause and cardiovascular-related mortality compared with those in Cohort 4, respectively. 

CONCLUSIONS

Our findings suggest that reaching the Part D coverage gap was associated with unfavorable clinical and economic outcomes in patients undergoing dialysis.

Managing oral phosphate binder medication expenditures within the Medicare bundled end-stage renal disease prospective payment system: economic implications for large U.S. dialysis organizations

BACKGROUND

From January 2016, payment for oral-only renal medications (including phosphate binders and cinacalcet) was expected to be included in the new Medicare bundled end-stage renal disease (ESRD) prospective payment system (PPS). The implementation of the ESRD PPS has generated concern within the nephrology community because of the potential for inadequate funding and the impact on patient quality of care.

OBJECTIVE

To estimate the potential economic impact of the new Medicare bundled ESRD PPS reimbursement from the perspective of a large dialysis organization in the United States.

METHODS

We developed an interactive budget impact model to evaluate the potential economic implications of Medicare payment changes to large dialysis organizations treating patients with ESRD who are receiving phosphate binders. In this analysis, we focused on the budget impact of the intended 2016 integration of oral renal drugs, specifically oral phosphate binders, into the PPS. We also utilized the model to explore the budgetary impact of a variety of potential shifts in phosphate binder market shares under the bundled PPS from 2013 to 2016.

RESULTS

The base model predicts that phosphate binder costs will increase to $34.48 per dialysis session in 2016, with estimated U.S. total costs for phosphate binders of over $682 million. Based on these estimates, a projected Medicare PPS $33.44 reimbursement rate for coverage of all oral-only renal medications (i.e., phosphate binders and cinacalcet) would be insufficient to cover these costs. A potential renal drugs and services budget shortfall for large dialysis organizations of almost $346 million was projected.

CONCLUSIONS

Our findings suggest that large dialysis organizations will be challenged to manage phosphate binder expenditures within the planned Medicare bundled rate structure. As a result, large dialysis organizations may have to make treatment choices in light of potential inadequate funding, which could have important implications for the quality of care for patients with ESRD.

Adherence and persistence to prescribed medication therapy among Medicare part D beneficiaries on dialysis: comparisons of benefit type and benefit phase

BACKGROUND

The implementation of Medicare Part D provided insurance coverage for outpatient medications, but when persons reach the "gap," they have very limited or no medication insurance coverage until they reach a second threshold for catastrophic coverage. In addition, some patients have a low-income subsidy (LIS), and their out-of-pocket costs do not reach the threshold for the gap. Little is known about how these Part D types (LIS versus non-LIS) and benefit phases (before the gap, during the gap, after the gap) affect medication adherence and persistence of dialysis patients. 

OBJECTIVE

To examine medication use, adherence, and persistence for Medicare-eligible dialysis patients by Part D benefit type and benefit phase. 

METHODS

A retrospective cohort study using data from the U.S. Renal Data System (USRDS) was conducted for Medicare-eligible dialysis patients. Outcomes included medication use, adherence, and persistence. Patients were categorized into 4 cohorts based on their Part D benefit phase that the beneficiaries reached at the end of the year and LIS receipt in 2007: Cohort 1 = non-LIS and did not reach the coverage gap; Cohort 2 = non-LIS and reached the coverage gap; Cohort 3 = non-LIS and reached catastrophic coverage after the gap; and Cohort 4 = received an LIS and none of the LIS patients reached the coverage gap. Outcomes were measured separately for 5 therapeutic classes of outpatient prescription drugs: antihyperglycemics, antihypertensives, antilipidemics, phosphate binders, and calcimimetics. 

RESULTS

A total of 11,732 patients met the study inclusion criteria. Patients were distributed among the cohorts as follows: 3,678 (31.3%) patients in Cohort 1 who did not reach the coverage gap; 4,349 (37.1%) patients in Cohort 2 who reached the coverage gap but not catastrophic coverage; 1,310 (11.2%) patients in Cohort 3 who reached catastrophic coverage; and 2,395 (20.4%) patients in Cohort 4 who had an LIS (none of whom reached the gap). Overall, the percentage of patients who were adherent to their medications (≥ 80% medication possession ratio) was low: 39% for antihyperglycemics, 59% for antihypertensives, 54% for antilipidemics, 22% for phosphate binders, and 35% for cinacalcet. There were wide ranges in adherence rates depending on the cohort. For patients on antihyperglycemics, antihypertensives, antilipidemics, phosphate binders, and cinacalcet, the odds ratios for adherence to therapy were 0.76 (95% C I =0.63-0.92), 1.06 (0.94-1.19), 0.80 (0.67-0.95), 0.65 (0.55-0.76), and 0.39 (0.30-0.49), respectively; the hazard ratios for discontinuation of therapy were 1.18 (95% CI 1.06-1.31), 1.01 (0.93-1.10), 1.25 (1.12-1.40), 1.13 (1.05-1.21), and 1.61 (1.75-1.82), respectively, for Cohort 2 patients who reached the coverage gap compared with those in Cohort 4 who received an LIS. In addition, when comparing adherence before and after the benefit gap, patients in Cohort 2 were significantly more likely to be nonadherent to medications for diabetes (relative risk (RR) = 1.71, 95% CI = 1.48-1.99), hypertension (RR = 1.69, 95% CI = 1.54-1.85), hyperlipidemia (RR = 2.01, 95% CI = 1.76-2.29), hyperphosphatemia (RR = 1.74, 95% CI = 1.55-1.95), and hyperparathyroidism (RR = 2.08, 95% CI = 1.66-2.60) after reaching the coverage gap. 

CONCLUSIONS

More than half of Medicare beneficiaries on dialysis reached the Part D coverage gap in 2007. Our findings suggest that the Part D coverage gap was significantly associated with decreases in adherence and persistence for medications frequently used in patients undergoing dialysis. Patients who reached the coverage gap (Cohort 2) often decreased use of or discontinued critical medications after reaching the coverage gap. Compared with patients who had an LIS (Cohort 4), patients in Cohort 2 had significantly lower medication adherence and persistence levels. The negative impact of the Part D coverage gap (high out-of-pocket cost sharing) on medication adherence and persistence for Medicare-eligible dialysis patients has implications for currently proposed Medicare end-stage renal disease bundled reimbursement payment and requires more research.

Medication effectiveness with the use of tumor necrosis factor inhibitors among Texas Medicaid patients diagnosed with rheumatoid arthritis

BACKGROUND

Adalimumab (Humira [ADA]), etanercept (Enbrel [ETN]), and infliximab (Remicade [IFX]) are tumor necrosis factor (TNF) inhibitors indicated for the treatment of a variety of disorders. While their effectiveness has not been directly compared in a clinical trial, results from the majority of the indirect treatment comparisons suggest comparable efficacy and safety profiles. However, these TNF inhibitor agents differ in administration method and dosing flexibility, which may result in differences in medication use profiles (e.g., adherence, persistence, discontinuation, dose escalation, and switching to a new biologic rheumatoid arthritis drug) and effectiveness in clinical practice. 

OBJECTIVE

To estimate the effectiveness of ADA, ETN, and IFX in patients with rheumatoid arthritis (RA) using a validated, claims-based algorithm designed for large retrospective databases.

METHODS

Adult (aged 18-63 years) patients diagnosed with RA, and receiving ADA, ETN, or IFX, and insured by Texas Medicaid were included. The index date was the date of the first prescription claim for ADA or ETN or infusion record for IFX with no claim or infusion record of a biologic drug in the preceding 6 months (i.e., biologic naïve). The study time frame was from July 2003 to August 2011, and prescription and medical claims for each subject were analyzed over an 18-month period (6 months pre- and 12 months post-index). Based on a RA medication effectiveness algorithm (Curtis et al. 2011), a RA medication was classified as effective if each of the following 6 criteria were met: (1) high medication adherence (i.e., medication possession ratio [MPR] ≥ 80%, defined as the sum of days' supply for all fills or infusions divided by the number of days in the study period); (2) no switching to (or addition of) new biologic RA drugs; (3) no addition of new nonbiologic RA drugs; (4) no increase in dose or frequency of administration of the RA medication currently evaluated; (5) no more than 1 glucocorticoid (GC) joint injection; and (6) no increase in dose of a concurrent oral GC. Propensity score (PS) matching was employed, and paired tests (i.e., McNemar's) and multivariate conditional logistic regression analysis were used to compare groups. Demographic (i.e., age, gender, race) and clinical (i.e., use of nonbiologic disease-modifying antirheumatic drugs [DMARDs], pain medication use, GC medication use, RA-related and non-RA-related health care visits [i.e., ambulatory and inpatient visits], number of nonstudy RA medications, and comorbidity index) characteristics, including total health care utilization cost at baseline, served as study covariates.

RESULTS

After PS matching, 822 patients (n = 274 per group) were included. The majority of the sample (69.2%) was between 45-63 years, female (88%), and Hispanic (53.7%). Results for each TNF inhibitor differed significantly for 2 of the 6 effectiveness criteria (i.e., medication adherence and dose escalation). A significantly higher proportion of patients on IFX were adherent compared with patients on ETN or ADA (38.3% vs. 16.4% and 21.2%, P  less than  0.0001 for both). Adherence rates between ETN and ADA were not significantly different. A significantly higher (P  less than  0.0001) proportion of patients on ETN had no dose escalation compared with patients on ADA or IFX (98.2% vs. 88.7% and 80.3%, P  less than  0.0001). Dose escalation rate was also significantly lower (P = 0.0106) for ADA compared with IFX. The multivariate conditional logistic regression analysis indicated no significant difference in overall effectiveness using the claims-based algorithm among the 3 TNF inhibitors nor any significant relationship between effectiveness and the study covariates. 

CONCLUSION

The study results suggest that when using a medication effectiveness algorithm, IFX, ETN, and ADA have comparable effectiveness in patients with RA. Patient adherence to therapy may be higher if given IFX, and patients who receive ETN are less likely to have a dose escalation.

Trends and issues in oncology costs

Approximately 18% of US gross domestic product is spent on healthcare and 5% of that is for cancer care. With rapidly increasing oncologic drug prices, growth in cancer spending will likely far outpace overall healthcare spending growth. Developing cost-saving strategies is imperative, but economizing must not compromise patients' well-being. Providing quality care at the most economical price is the main aim. This article summarizes trends in rising cancer costs, and reviews cost-management strategies, including those proposed in the Affordable Care Act. Many programs economize by correcting inefficiencies, preventing therapeutic failures and eliminating errors. Process improvement is important, but in oncology, medications substantially drive costs. Identifying the most effective and economical treatments requires cost-effectiveness research. At the current pace, the US payers cannot continue to afford increasing costs for cancer treatments. Research on maximizing patient outcomes for reasonable costs is essential. More analyses of quality of life assessment and cost-effectiveness can support future decisions about cancer care.

Estimates of charges associated with emergency department and hospital inpatient care for opioid abuse-related events

The economic burden of prescription opioid abuse is substantial; however, no study has estimated the monetary burden of hospital services (emergency department [ED] and inpatient) using a single, nationally representative database. We sought to estimate total and average (adjusted for demographic and clinical factors) charges billed for opioid abuse-related events, and magnitude of difference in charges between ED visits resulting in inpatient admission to the same hospital and treat-and-release ED visits in the United States. We used the 2006, 2007, and 2008 files of the Healthcare Cost and Utilization Project's Nationwide Emergency Departments Sample (HCUP-NEDS) to identify events and charges assigned opioid abuse, dependence, or poisoning ICD-9-CM (International Classification of Diseases, 9th Revision, Clinical Modification) diagnosis codes (304.0X, 304.7X, 305.5X, 965.00, 965.02, 965.09). Using methods to account for the complex sampling design of the NEDS and a log-linked gamma regression model, we estimated national total and mean charges (in 2010 USD). Total charges were $9.8, $9.6, and $9.5 billion for 2006, 2007, and 2008, respectively. Medicaid-covered events had the highest total charges ($3 billion), followed by events covered by Medicare ($2 billion) for each year. The national estimate of adjusted, mean, per-event charges, was $18,891 (95% confidence interval [CI] = $18,167-$19,616). Compared with events covered by private insurance, mean charges for Medicare- and Medicaid-covered events were higher (t = 28.14, P < .001; t = 6.42, P < .001, respectively), whereas self-paid events had significantly lower charges (t = -11.14, P < .001). ED visits resulting in subsequent inpatient admission had approximately 6 times higher charges than treat-and-release visits. This study provides estimates of differences in hospital costs of opioid abuse by insurance status, resulting in a better understanding of the economic burden of opioid abuse on the health care system.

Identifying patient characteristics associated with high schizophrenia-related direct medical costs in community-dwelling patients

BACKGROUND

Schizophrenia is a chronic, debilitating disease that affects approximately 1% of the U.S. population and has disproportionately high costs. Several factors, including age, gender, insurance status, and comorbid conditions, have been hypothesized to be associated with schizophrenia-
related costs. 

OBJECTIVE

To identify demographic and clinical characteristics of community-dwelling schizophrenia patients experiencing high schizophrenia-related direct medical costs. 

METHODS

Community-dwelling patients with a diagnosis for schizophrenic disorder (ICD-9-CM code 295) and other nonorganic psychoses (ICD-9-CM code 298) were identified from the 2005-2008 Medical Expenditure Panel Survey (MEPS). Schizophrenia-related direct medical costs were calculated for (a) inpatient hospitalizations; (b) prescription medications; and (c) outpatient, office-based physician, emergency room, and home health care visits. Using Andersen's Behavorial Model of Health Services Use and the literature, factors that could potentially affect schizophrenia-related direct medical costs were identified. Based on the distribution of their mean annual costs, patients were classified into high- and low-cost groups. Logistic regression was used to determine the likelihood of high-cost group membership based on age, sex, race, insurance status, marital status, region of residence, family income as a percentage of poverty line, number of medical comorbidities, number of mental health-related comorbidities, patient-perceived general health status, patient-perceived mental health status, and year of inclusion in MEPS. In addition, a generalized linear model (GLM) regression (gamma distribution with a log-link function) was used to evaluate the relationships between the independent variables and total schizophrenia-related direct medical costs as a continuous variable. 

RESULTS

From the MEPS database, we identified 317 patients with schizophrenia who represented 2.75 million noninstitutionalized, community-dwelling schizophrenia patients in the United States between 2005 and 2008. The logistic regression procedure showed that older patients (OR=0.933, 95% CI=0.902-0.966) and patients with a spouse (OR=0.150, 95% CI=0.041-0.555) were less likely to be in the high-cost group, while those who reported having "poor" perceived general health status (OR=15.548, 95% CI=1.278-189.127) were more likely to be in the high-cost group. The GLM regression procedure showed that younger patients (compared with older patients), African Americans (compared with Caucasions), patients with private insurance (compared with the uninsured), and those living in the northeastern United States (compared with those living in the southern United States) had higher schizophrenia-related direct medical costs. 

CONCLUSION

Identification of factors associated with a high-cost population may help decision makers in managed care, government, and other organizations allocate resources more efficiently and health care providers manage patients more effectively through assignment of these patients to case managers and appropriate monitoring and treatment. 

Pharmacist reporting of serious adverse drug events to the Food and Drug Administration

OBJECTIVE

To identify barriers to and facilitators of pharmacist reporting of serious adverse drug events (ADEs) to the Food and Drug Administration (FDA).

METHOD

Two focus groups consisting of practicing pharmacists were held in Austin, TX, in 2009. The following open-ended questions were used in the focus groups: (1) What do you think would make it easier to report serious ADEs to the FDA? (2) What do you think would make it more difficult to report serious ADEs to the FDA? A content analysis was performed on the generated transcripts.

RESULTS

13 pharmacists practicing in hospital and community settings in Texas participated. Pharmacists identified 27 barriers to and facilitators of reporting serious ADEs to FDA. Lack of patients' complete medical histories and lack of time were the barriers most frequently cited. Knowledge and awareness of ADEs and ADE reporting emerged as important factors that would facilitate reporting serious ADEs to FDA.

CONCLUSION

These findings highlight the factors that facilitate and/or inhibit pharmacist reporting of serious ADEs to FDA. Improved knowledge of ADEs and ADE reporting would facilitate reporting behaviors, while lack of time, lack of complete patient medical histories, and lack of compensation issues serve as important barriers to reporting. Interventions are needed to address these factors.

Efficacy and safety of dipeptidyl peptidase-4 inhibitors in type 2 diabetes: meta-analysis

BACKGROUND

An up-to-date assessment of dipeptidyl peptidase-4 (DPP-4) inhibitors is needed to include newly available data.

OBJECTIVE

To assess the efficacy and safety of DPP-4 inhibitors, including sitagliptin, saxagliptin, vildagliptin, and linagliptin, in type 2 diabetes.

METHODS

We conducted a search of MEDLINE for randomized controlled trials (RCTs) of DPP-4 inhibitors in type 2 diabetes through November 2011, using the key terms sitagliptin, saxagliptin, vildagliptin, and linagliptin. We also searched for completed, but unpublished, trials at relevant web sites. RCTs were selected for meta-analysis if they (1) compared DPP-4 inhibitors with placebo or an antihyperglycemic agent; (2) had study duration of 12 or more weeks; (3) had 1 or more baseline and posttreatment efficacy and/or safety outcome; and (4) were published in English.

RESULTS

In 62 evaluated articles, DPP-4 inhibitors lowered hemoglobin A(1c) (A1C) significantly more than placebo (weighted mean difference [WMD] -0.76%; 95% CI -0.83 to -0.68); however, heterogeneity was substantial (I(2) = 82%). Exclusion of Japanese trials (n = 7) resulted in a reduction of heterogeneity (I(2) = 59%). In the non-Japanese RCTs (n = 55), DPP-4 inhibitors were associated with a reduction in A1C (WMD -0.65%; 95% CI -0.71 to -0.60) but higher risk of hypoglycemia (odds ratio [OR] 1.30; 95% CI 1.00 to 1.68) compared to placebo. The 7 Japanese-specific RCTs showed a greater reduction in A1C (WMD -1.67%; 95% CI -1.89 to -1.44) and a nonsignificant increase in risk of hypoglycemia (OR 1.41; 95% CI 0.51 to 3.88) with DPP-4 inhibitors versus placebo. When comparing DPP-4 inhibitors to active comparators, the I(2) was still high after deleting Japanese studies. In these 17 active comparator trials, there was no significant difference in A1C reduction (WMD 0.04%; 95% CI -0.09 to 0.16) or risk of hypoglycemia (OR 0.60; 95% CI 0.22 to 1.61) for DPP-4 inhibitors compared to other antihyperglycemics. There were similar odds of any or serious adverse events with DPP-4 inhibitors compared to placebo, but a decreased risk compared to other antihyperglycemics.

CONCLUSIONS

DPP-4 inhibitors were associated with a reduction in A1C with comparable safety profiles compared to placebo, but no significant difference in A1C compared to other hyperglycemics. Differences in efficacy and safety were observed between Japanese and non-Japanese patients.