Health Plan Enrollment and Disenrollment of Individuals With and Without Established Chronic Disease in a U.S. Commercially Insured and Medicare Advantage Population.

BACKGROUND: Chronic disease is associated with increased health care resource utilization and costs. Effective development and implementation of health care management and clinical intervention programs require an understanding of health plan member enrollment and disenrollment behavior. OBJECTIVE: To examine the health plan enrollment and disenrollment behavior of commercially insured and Medicare Advantage members with established chronic disease compared with matched members without the disease of interest, using data from a large national health insurer in the United States. METHODS: This retrospective matched cohort study used administrative claims data from the HealthCore Integrated Research Database from January 1, 2006, to November 30, 2015, to identify adults with chronic disease (type 2 diabetes mellitus [T2DM], cardiovascular disease [CVD], chronic obstructive pulmonary disease [COPD], rheumatoid arthritis [RA], and breast cancer [BC]). Members with no established chronic disease (controls) were directly matched to members with established chronic disease (cases) on demographic characteristics. The earliest date on which members met the criteria for a given disease was defined as the index date. Controls had the same index date as the matched cases. All members had ≥ 12 months of continuous health plan enrollment before the index date. Outcomes included health plan member disenrollment and enrollment duration. Incidence rates per 1,000 member-years for member disenrollment were evaluated along with incidence rate ratios (relative risk) using a Poisson model. Time to disenrollment was analyzed by Cox proportional hazard models and Kaplan-Meier survival curves. Sensitivity analyses were conducted where death was included as a disenrollment event. RESULTS: 70,907 health plan members with BC (99.7% female, mean age 60.5 years); 28,883 members with COPD (52.3% female, mean age 66.7); 835,358 members with CVD (50.5% female, mean age 62.7 years); 210,936 members with T2DM (45.2% female, mean age 53.6 years); and 31,954 members with RA (72.0% female, mean age 55.5 years) were matched to controls and met the study criteria. The incidence rates of health plan disenrollment ranged from 155 to 192 members per 1,000 members per year. Compared with controls, members with chronic disease were 30%-40% less likely to disenroll from a health plan (P < 0.001 for all comparisons). Among those who disenrolled, enrollment duration ranged from 2.3 to 2.7 years among cases and 1.5 to 1.8 years among matched controls (P ≤ 0.001 for all comparisons). CONCLUSIONS: This real-world study demonstrated that members with chronic disease had a significantly lower rate of disenrollment and a longer duration of enrollment compared with matched controls and were continuously enrolled for almost a year longer than members without a diagnosed chronic disease. Understanding health plan enrollment and disenrollment behavior may provide a valuable context for determining the time frame for the effect of health care programs and initiatives. DISCLOSURES: Funding for this study was provided by HealthCore, a wholly owned subsidiary of Anthem. Chung, Deshpande, Zolotarjova, Quimbo, and Willey are employees of HealthCore. Kern and Cochetti are former employees of HealthCore. Quimbo, Cochetti, and Willey are shareholders of Anthem. HealthCore receives funding from multiple pharmaceutical companies to perform various research studies outside of the submitted work. The preliminary results of this study were presented at AMCP Nexus 2015; March 26-29, 2015; Orlando, FL, and the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) 2017 Conference; May 20-24, 2017; Boston, MA.

Treatment Patterns of Newly Diagnosed Rheumatoid Arthritis Patients from a Commercially Insured Population.

INTRODUCTION: To describe treatment patterns in newly diagnosed rheumatoid arthritis (RA) patients in a large, nationally representative managed-care database. METHODS: Newly diagnosed RA patients were identified from 07/01/2006-08/31/2014. Patients had ≥ 1 RA diagnosis by a rheumatologist, or ≥ 2 non-rheumatologist RA diagnoses ≥ 30 days apart, or RA diagnosis followed by a disease-modifying antirheumatic drug (DMARD) prescription fill within 1 year. Patients were ≥ 18 years old at index (earliest date fulfilling diagnostic criteria) and had ≥ 6 and 12 months of pre- and post-index health plan enrollment, respectively. Patterns of DMARD treatment, including conventional synthetic DMARDs (csDMARD), tumor necrosis factor inhibitors (TNFi), non-TNFi, and Janus kinase inhibitors (JAKi), were captured during follow-up. RESULTS: Of the 63,101 RA patients identified, 73% were female; mean age was 57 years. During an average of 3.5 ± 2.1 years of follow-up, 45% of patients never received a DMARD, 52% received a csDMARD (94 ± 298 mean ± SD days from index), 16% a TNFi (315 ± 448 days), 4% a non-TNFi (757 ± 660 days), and < 1% a JAKi. Among DMARD recipients, the most common treatment patterns were: receiving csDMARDs only (68%), adding a TNFi as second-line therapy after initiation of a csDMARD (12%), and receiving only a TNFi (6%) during follow-up. Among those not on DMARDs, the all-cause usage of an opioid was 56% and 19% had chronic opioid use (≥ 180 days supplied). CONCLUSIONS: Despite American College of Rheumatology recommendations for DMARD treatment of RA, nearly half of newly diagnosed RA patients received no DMARD therapy during follow-up. These data identify a treatment gap in RA management. FUNDING: Eli Lilly & Company.

A validation of clinical data captured from a novel Cancer Care Quality Program directly integrated with administrative claims data.

BACKGROUND: Data from a Cancer Care Quality Program are directly integrated with administrative claims data to provide a level of clinical detail not available in claims-based studies, and referred to as the HealthCore Integrated Research Environment (HIRE)-Oncology data. This study evaluated the validity of the HIRE-Oncology data compared with medical records of breast, lung, and colorectal cancer patients. METHODS: Data elements included cancer type, stage, histology (lung only), and biomarkers. A sample of 300 breast, 200 lung, and 200 colorectal cancer patients within the HIRE-Oncology data were identified for medical record review. Statistical measures of validity (agreement, positive predictive value [PPV], negative predictive value [NPV], sensitivity, specificity) were used to compare clinical information between data sources, with medical record data considered the gold standard. RESULTS: All 300 breast cancer records reviewed were confirmed breast cancer, while 197 lung and 197 colorectal records were confirmed (PPV =0.99 for each). The agreement of disease stage was 85% for breast, 90% for lung, and 94% for colorectal cancer. The agreement of lung cancer histology (small cell vs non-small cell) was 97%. Agreement of progesterone receptor, estrogen receptor, and human epidermal growth factor receptor 2 status biomarkers in breast cancer was 92%, 97%, and 92%, respectively; epidermal growth factor receptor and anaplastic lymphoma kinase agreement in lung was 97% and 92%, respectively; and agreement of KRAS status in colorectal cancer was 95%. Measures of PPV, NPV, sensitivity, and specificity showed similarly strong evidence of validity. CONCLUSION: Good agreement between the HIRE-Oncology data and medical records supports the validity of these data for research.

The impact of 5-hydroxytryptamine-receptor antagonists on chemotherapy treatment adherence, treatment delay, and nausea and vomiting.

PURPOSE: To determine the incidence of chemotherapy-induced nausea/vomiting (CINV) and chemotherapy treatment delay and adherence among patients receiving palonosetron versus other 5-hydroxytryptamine receptor antagonist (5-HT3 RA) antiemetics. MATERIALS AND METHODS: This retrospective claims analysis included adults with primary malignancies who initiated treatment consisting of single-day intravenous highly emetogenic chemotherapy (HEC) or moderately EC (MEC) regimens. Treatment delay was defined as a gap in treatment at least twice the National Comprehensive Cancer Network-specified cycle length, specific to each chemotherapy regimen. Treatment adherence was determined by the percentage of patients who received the regimen-specific recommended number of chemotherapy cycles within the recommended time frame. RESULTS: We identified 1,832 palonosetron and 2,387 other 5-HT3 RA ("other") patients who initiated HEC therapy, and 1,350 palonosetron users and 1,379 patients on other antiemetics who initiated MEC therapy. Fewer patients receiving palonosetron experienced CINV versus other (HEC, 27.5% versus 32.2%, P=0.0011; MEC, 36.1% versus 41.7%, P=0.0026), and fewer treatment delays occurred among patients receiving palonosetron versus other (HEC, 3.2% versus 6.0%, P<0.0001; MEC, 17.0% versus 26.8%, P<0.0001). Compared with the other cohort, patients receiving palonosetron were significantly more adherent to the index chemotherapy regimen with respect to the recommended time frame (HEC, 74.7% versus 69.7%, P=0.0004; MEC, 43.1% versus 37.3%, P=0.0019) and dosage (HEC, 27.3% versus 25.8%, P=0.0004; MEC, 15.0% versus 12.6%, P=0.0019). CONCLUSION: Palonosetron more effectively reduced occurrence of CINV in patients receiving HEC or MEC compared with other agents in this real-world setting. Additionally, patients receiving palonosetron had better adherence and fewer treatment delays than patients receiving other 5-HT3 RAs.

Hypoglycemia in patients with type 2 diabetes using concomitant exenatide BID and long-acting insulin therapy.

OBJECTIVE: The objective of this study was to examine the frequency of hypoglycemia among patients with type 2 diabetes who had concomitantly used exenatide BID (exenatide) and long-acting insulin and continued this combination vs those who continued long-acting insulin alone. METHODS: Retrospective analyses, using a large managed care database, were used to estimate the frequency of hypoglycemia (episodes/patient/6 months) for patients who concomitantly used exenatide and long-acting insulin during a 6-month follow-up period. RESULTS: From among 2082 patients on concomitant exenatide and long-acting insulin, those who continued this combination (n=472) had a lower frequency of hypoglycemia compared to those who remained on long-acting insulin alone (n=312) (0.03 ± 1.9 vs 0.10 ± 1.01 [episodes/patient/6 months]; p<0.0001). LIMITATIONS: Only hypoglycemia that required medical intervention (coded for hypoglycemia) was captured. The study could not evaluate any association between insulin dose titration and hypoglycemia or examine other outcomes such as HbA1c, weight, and body mass index, due to lack of data availability. CONCLUSIONS: Patients who concomitantly used exenatide BID and long-acting insulin experienced a lower rate of hypoglycemia.

Knee-attributable medical costs and risk of re-surgery among patients utilizing non-surgical treatment options for knee arthrofibrosis in a managed care population.

OBJECTIVE: To determine if differences in costs and risks of re-hospitalization and/or re-operation exist between arthrofibrosis patients treated with low intensity stretch (LIS) or high intensity stretch (HIS) mechanical therapies, or physical therapy alone (No Device). STUDY DESIGN: This observational cohort study utilized administrative claims data to identify arthrofibrosis patients, age <65 years, with continuous enrollment for the 6 months prior to and following the index knee event date. METHODS: The index knee event was defined as the knee injury/surgery preceding device use for the LIS and HIS groups and the knee injury/surgery prior to the diagnosis of arthrofibrosis for the No Device group. Knee-attributable medical costs (KAMC), accrued over 6-month pre- and post-index periods, as well as risks of re-operation, re-injury, and re-hospitalization were compared between groups. Multivariate models were used to evaluate group differences in utilization and costs when controlling for age, sex, and comorbidities. RESULTS: A total of 60 359 patients (143 HIS; 607 LIS; 59 609 No Device) met the inclusion criteria. Unadjusted post-index KAMC were significantly less (p < 0.0001) among HIS patients ($8213 +/- 10 576) relative to LIS ($16 861 +/- 17 857) and No Device ($9345 +/- 14 120) patients. A significantly greater percentage of LIS Device patients had total knee replacements than HIS Device or No Device patients, and the LIS group had a significantly higher percentage of patients with musculoskeletal disease. When controlling for these group differences, the multivariate predictive model results were similar to the unadjusted results, with greater post-index KAMC for the LIS patients (24%, p = 0.025) and No Device (9%, p = 0.323) relative to HIS patients. No Device patients were 71% (p < 0.0001) more likely to have a subsequent knee event than HIS patients, and HIS patients had significantly lower rates of re-hospitalization than LIS and No Device patients (p < 0.0001). CONCLUSIONS: Patients treated with HIS mechanical therapy demonstrated significantly reduced rates of re-hospitalization which corresponded to reduced knee-attributable medical costs. LIMITATIONS: Limitations of this study include those inherent in the use of retrospective claims data to identify the cohorts and for analytic purposes. The authors attempted to control for these as much as possible with the multivariate analyses, and inclusion of the model covariates specified above demonstrated a scaled deviance of 1.16 indicating a reasonable goodness-of-fit for the selected model covariates.

Impact of fixed-dose and multi-pill combination dyslipidemia therapies on medication adherence and the economic burden of sub-optimal adherence.

OBJECTIVE: To compare medication adherence between patients initiating fixed-dose combination versus multi-pill combination dyslipidemia therapies and assess the association between optimal adherence (MPR > or = 80%) and cardiovascular disease (CVD)-associated total healthcare resource utilization (THR) and costs (THC). RESEARCH DESIGN AND METHODS: The HealthCore Integrated Research Database was used to identify patients > or =18 years newly initiating fixed-dose combination [niacin extended-release (NER) and lovastatin (NERL)] or multi-pill combination therapies [NER and simvastatin (NER/S) or lovastatin (NER/L)] between 1/1/2000 and 6/30/2006 (index date), with minimum 18 months of follow-up. Adherence was measured using medication possession ratio (MPR). Three multivariate models were developed controlling for demographic and clinical characteristics. A logistic model evaluated the association between study cohorts and optimal adherence, while negative binomial and gamma models estimated the association between optimal adherence and CVD-associated THR and THC, respectively. RESULTS: In all, 6638 NERL, 1687 NER/S, and 663 NER/L patients were identified. Fixed-dose combination patients were younger [mean (SD) ages of 51.9 (10.5) vs. 56.0 (9.4) [NER/S] and 56.1 (10.6) [NER/L]; p < 0.01], had lower comorbidity (Deyo-Charlson Index 0.50 +/- 0.9 vs. 0.7 +/- 1.1 and 0.6 +/- 1.1, p < 0.01 and p < 0.05) and comprised fewer males (73.1 vs. 83.0% and 77.7%; p < 0.01 and p = 0.1). Fixed-dose combination patients had higher average 1-year MPR versus NER/S and NER/L patients (0.54 +/- 0.35 vs. 0.50 +/- 0.35 and 0.47 +/- 0.34, p < 0.01). NER/S and NER/L patients were 31.3% (95% CI: 22.9-39.5%) and 39.1% (95% CI: 26.7-49.4%) less likely to be optimally adherent than fixed-dose combination patients (p < 0.01). Additionally, optimally adherent patients had 8% and 40% decreases in annual CVD-attributable THR [0.920 (95% CI: 0.857-0.989); p = 0.023] and THC [0.601 (95% CI: 0.427-0.845); p = 0.003] versus sub-optimally adherent patients. Key limitations of the study include the limited ability of MPR to analyze the continuity of medication usage, inability to capture data on other key variables including race, income, and clinical characteristics such as smoking history, absence of laboratory values on all study patients, inability to capture over-the-counter fills of niacin, and inability to show causality of results obtained. CONCLUSIONS: Adherence was significantly higher among patients initiating fixed-dose combination versus multi-pill combination dyslipidemia therapies in this managed-care population. Additionally, patients with optimal adherence had a significantly lower CVD-associated THR and THC versus patients with sub-optimal adherence.

Patient characteristics, drug adherence patterns, and hypoglycemia costs for patients with type 2 diabetes mellitus newly initiated on exenatide or insulin glargine.

OBJECTIVE: Examine real-world effectiveness and hypoglycemia cost burden in patients with type 2 diabetes newly initiated on exenatide or insulin glargine. DESIGN AND METHODS: Retrospective cohort study describing patient characteristics, drug adherence patterns, and 1-year hypoglycemia rates with associated costs using an administrative claims database. Adult subjects with type 2 diabetes had an initial claim for exenatide or insulin glargine between May 1, 2005 and June 30, 2007, and had continuous eligibility for >or= 6 months pre- and >or= 12 months post-initiation. RESULTS: The exenatide cohort (n = 3262) was 53 +/- 10 years (+/-SD); 54% female. The insulin glargine cohort (n = 3038) was 56 +/- 12 years; 41% female. The mean Deyo-Charlson comorbidity index score was 1.45 for exenatide versus 1.82 for insulin glargine (p < 0.001). Baseline OAD use rates for exenatide and insulin glargine, respectively, were 77% versus 69% metformin; 47% versus 65% sulfonylurea; 50% versus 49% thiazolidinedione; 56% versus 60% multiple OAD. For patients with two or more pharmacy claims for exenatide or insulin glargine, the 12-month medication possession ratio (MPR) was 68 +/- 29% for exenatide and 58 +/- 28% for insulin glargine (p < 0.001). MPR >or= 80% was higher for exenatide (p < 0.001) and fewer patients discontinued therapy (p < 0.001). The probability of a hypoglycemic event was significantly lower for exenatide (p < 0.005), resulting in lower associated annual costs. CONCLUSIONS: This study provides the first real-world observational comparison of type 2 diabetes patients newly initiated on exenatide or insulin glargine. Exenatide patients had a lower comorbidity burden, better drug adherence, and a lower rate of hypoglycemic events with associated costs. Retrospective database analyses examine medical care utilization in large populations using a relatively inexpensive and expedient approach. However, data are only representative of a commercial health-care plan with limited information on multiple variables usually collected during clinical trials.

Assessing the economic burden of breast cancer in a US managed care population.

BACKGROUND: Breast cancer is the most commonly diagnosed non-skin cancer and second leading cause of cancer deaths among women in the US. This study compared healthcare resource utilization and costs in women with breast cancer to a control group in a managed care population. MATERIAL AND METHODS: Women >or= 18 years with breast cancer were identified using ICD-9 codes from claims databases of five US health plans during 2004. A randomly matched control group of women without cancer served as a comparator group. Healthcare costs included all medical and pharmacy costs during the year. Comparisons were made using per patient per month (PPPM) costs (total costs per patient within 2004 calendar year/months of eligibility). RESULTS: 10,697 women (mean age 55 years) with breast cancer were identified (prevalence of 250 per 100,000) in 2004, with prevalence increasing with age. Mean attributable PPPM costs associated with breast cancer were $2,896 (median = $1,940) with hospitalization contributing most of the costs ($1,340), followed by pharmacotherapy ($537), and surgical intervention ($470). Mean unadjusted all-cause PPPM total costs were $4,421 (median = $2,964) compared to $3,352 (median = $665) p < 0.0001) for cases and controls respectively. Multivariate analyses controlling for differences in comorbidities showed mean adjusted PPPM costs to be 2.28 times (p < 0.0001) higher than non-breast cancer controls. DISCUSSION: This study demonstrated that breast cancer treatment was associated with substantial healthcare costs, driven mainly by hospitalizations. Projected annual costs for a breast cancer patient would be at least $12,828 higher than that for women without breast cancer based upon unadjusted cost differences.

Comparison of costs associated with the use of etanercept, infliximab, and adalimumab for the treatment of rheumatoid arthritis.

A retrospective study of health plan costs related to rheumatoid arthritis (RA) revealed that etanercept was associated with the lowest drug and outpatient costs to the health plan than infliximab and adalimumab. Compared with etanercept, infliximab was related to 55% higher postindex RA-related monthly total health care costs paid by the health plan, based on adjusted analyses (95% confidence interval, 1.47-1.64). Patients receiving adalimumab had 12% higher costs (95% confidence interval, 1.04-1.21). The study showed the average dispensing dose increase was greatest for infliximab (17.4%) and least for etanercept (4.1%).