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 among patients with psoriasis using a large national payer database in the United States: a retrospective study.

AIM: To characterize treatment patterns of psoriasis patients in a large US managed care database. MATERIALS AND METHODS: Adults with newly-diagnosed psoriasis were identified from July 3, 2006-August 31, 2014. Patients had continuous enrollment with medical and pharmacy benefits for ≥6 months prior to and ≥1 year following the index date. The index date was the point at which any of the following inclusion criteria were satisfied: first psoriasis diagnosis by a dermatologist, ≥ 2 psoriasis diagnoses ≥30 days apart, or a diagnosis of psoriasis followed by a claim for psoriasis therapy. Of primary interest was to measure and describe the following psoriasis treatment patterns: utilization rates, time to treatment discontinuation, and lines of therapy for various therapeutic classes of pharmacologic therapies. RESULTS: From the 128,308 patients identified, 53% were female, mean ± SD age was 50 ± 16 years, with median 3 years follow-up. Topicals were received by 86% of patients, non-biologic systemics by 13%, biologics by 6%, phototherapy by 5%, and 13% received no psoriasis-related medication. Median time from index to first treatment was 0 days for topical, 6 months for non-biologic systemic, and 6 months for biologic. Of those treated, first-line therapies included topical (95%), non-biologic systemic (4%), and biologic (2%). For those with second-line treatment, non-biologic systemic (71%) and biologic (30%) therapies were more common. The most common treatment pattern was topicals only (83%), while all other patterns comprised <5% of the treatment patterns observed. LIMITATIONS: Like other observational studies, limitations to consider when interpreting results include the 6-month pre-index period of no psoriasis or the psoriasis medication claim may not perfectly select only incident user of psoriasis medications, claims-based algorithms may not accurately represent true treatment patterns, absence of over-the-counter medications data, and having no trend analyses over time or between groups. CONCLUSIONS: While the majority of patients with psoriasis initiated a pharmacological therapy, a significant portion did not have a claim for any psoriasis medication. Topical treatments are the most commonly used treatments for psoriasis. Non-biologic systemic and biologic therapies were rarely used first line, but became more common in later lines of treatment.

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.

Cost Effectiveness of Achieving Targets of Low-Density Lipoprotein Particle Number Versus Low-Density Lipoprotein Cholesterol Level.

A recent analysis of a commercially insured US population found fewer cardiovascular disease (CVD) events in high-risk patients attaining low levels of low-density lipoprotein (LDL), as measured by LDL particle number (LDL-P) versus low LDL cholesterol (LDL-C). Here, we investigated the cost effectiveness of LDL-lowering therapy guided by LDL-P. Patients were selected from the HealthCore Integrated Research Database and followed for 12 to 36 months. Patients who achieved LDL-P <1,000 nmol/l were placed into the LDL-P cohort, whereas those without LDL-P tests, but who achieved LDL-C <100 mg/dl, were placed into the LDL-C cohort. CVD-related costs included all health plan paid amounts related to CVD events or lipid management. Cost effectiveness was assessed through incremental cost-effectiveness ratios, defined as difference in total costs across the cohorts divided by difference in CVD events, measured over follow-up. Each cohort included 2,094, 1,242, and 705 patients over 12-, 24-, and 36-month follow-up. Patients in the LDL-P cohort received more aggressive lipid-lowering therapy and had fewer CVD events during follow-up compared to patients in the LDL-C cohort. This led to greater pharmacy costs and lower medical costs over time. Incremental cost-effectiveness ratio estimates ranged from $23,131 per CVD event avoided at 12 months to $3,439 and -$4,555 at 24- and 36-month follow-up, suggesting a high likelihood that achieving LDL-P <1,000 nmol/l is cost effective. In conclusion, LDL-lowering therapy guided by LDL-P was demonstrated to be cost effective, with greater clinical and economic benefit seen over longer time horizons and with the increased use of generic statins.

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.

Cardiovascular risk in patients achieving low-density lipoprotein cholesterol and particle targets.

OBJECTIVES: Previous research suggests that LDL particle number (LDL-P) may be a better tool than LDL cholesterol (LDL-C) to guide LDL-lowering therapy. Using real-world data, this study has two objectives: [1] to determine the incidence of CHD across LDL-P thresholds; and [2] to compare CHD/stroke events among patients achieving comparably low LDL-P or LDL-C levels. METHODS: A claims analysis was conducted among high-risk patients identified from the HealthCore Integrated Research Database(SM). The impact of LDL levels on risk was compared across cohorts who achieved LDL-P <1000 nmol/L or LDL-C <100 mg/dL. Cohorts were matched to balance demographic and comorbidity differences. RESULTS: Among 15,569 patients with LDL-P measurements, the risk of a CHD event increased by 4% for each 100 nmol/L increase in LDL-P level (HR 1.04; 95% CI 1.02-1.05, p < .0001). The comparative analysis included 2,094 matched patients with ≥12 months of follow-up, 1,242 with ≥24 months and 705 with ≥36 months. At all time periods, patients undergoing LDL-P measurement were more likely to receive intensive lipid-lowering therapy and had a lower risk of CHD/stroke than those in the LDL-C cohort (HR: 0.76; 95% CI: 0.61-0.96; at 12 months). CONCLUSIONS: In this real-world sample of commercially insured patients, higher LDL-P levels were associated with increased CHD risk. Moreover, high-risk patients who achieved LDL-P <1000 nmol/L received more aggressive lipid-lowering therapy than patients achieving LDL-C <100 mg/dL, and these differences in lipids and therapeutic management were associated with a reduction in CHD/stroke events over 12, 24 and 36 months follow-up.

The impact of serum lipids on risk for microangiopathy in patients with type 2 diabetes mellitus.

BACKGROUND: Few large-scale, real-world studies have assessed the relative associations of lipid fractions with diabetic microvascular events. The main objective of this study was to evaluate the association of the lipid profile components, high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C), triglycerides (TG), and non-high density lipoprotein cholesterol (non-HDL-C) with microvascular complications (MVCs) in type 2 diabetes mellitus (T2DM) patients. METHODS: This observational cohort study queried the HealthCore Integrated Research Database (HIRDSM) for newly-diagnosed (Index Date) 18-64-year-old patients with diabetes mellitus between 01/01/2005-06/30/2010. Inclusion required ≥ 12 months pre-index continuous health plan eligibility and ≥ 1 pre-index lipid profile result. Patients with polycystic ovary syndrome and prior MVCs were excluded. Incident complications were defined as the earliest occurrence of diabetic retinopathy, peripheral neuropathy, and/or nephropathy post-index. Cox proportional models and Kaplan-Meier (KM) curves were used to evaluate associations among variables. RESULTS: Of the patients (N=72,267), 50.05% achieved HDL-C, 64.28% LDL-C, 59.82% TG, and 56.79% non-HDL-C American Diabetes Association goals at baseline. During follow-up (mean, 21.74 months), there were 5.21 microvascular events per 1,000 patient-months. A 1-mg/dL increase in HDL-C was associated with 1% decrease in any MVC risk (P< .0001), but for LDL-C, TG, and non-HDL-C, 1-mg/dL increase resulted in increases of 0.2% (P< .0001), 0.1% (P<0.001) and 0.3% (P<0.001) in MVC risk. Patients achieving HDL-C goals had a 11% lower risk of MVC versus non-achievers (RR 0.895, [95% CI, 0.852-0.941], P< .0001). Similarly, TG goal attainment was associated with a lowered risk for any MVC (RR 0.849, [95% CI, 0.808-0.892], P< .0001). Evaluation of KM survival curves demonstrated no significant difference in the risk of MVCs between patients achieving vs. not achieving LDL-C goals, but did demonstrate a difference in MVC risk between patients achieving vs. not achieving non-HDL-C goals. CONCLUSION: This study demonstrates significant independent associations among lipid fractions and risk for microangiopathy. These findings suggest that attaining established ADA goals for HDL-C, TG, and non-HDL-C may reduce risk for microvascular events among patients with diabetes.

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.

Subacute lack of asthma control as a predictor of subsequent acute asthma exacerbation in a managed care population.

OBJECTIVE: To evaluate whether an assessment of subacute lack of asthma control (SALAC) predicts subsequent acute asthma exacerbation (AAE). STUDY DESIGN: This retrospective administrative claims study used medical and pharmacy claims from the HealthCore Integrated Research Database to identify patients aged 6 to 64 years with asthma and having 3 years' continuous enrollment from January 1, 2003, through December 31, 2005. METHODS: Study inclusion criteria were at least 2 outpatient visits or at least 1 hospitalization or emergency department (ED) visit with an asthma diagnosis (International Classification of Diseases, Ninth Revision, Clinical Modification code 493.xx) in at least 1 of 3 years (2003-2005). SALAC was defined as more than 4 asthma outpatient visits or more than 5 short-acting beta2-agonist (SABA) prescriptions per year, and AAE was defined as at least 1 hospitalization or ED visit with a primary asthma diagnosis or an oral corticosteroid burst prescription. Generalized estimating equations modeled the risk of subsequent-year AAE as a function of 2 sets of variables to determine the independent effect of prior-year SALAC and its components on subsequent-year AAE. The first set included age, sex, geographic region, prior year AAE, and prior-year SALAC. The second set included age, sex, geographic region, prior-year AAE, high prior-year SABA use, and frequent prior-year asthma outpatient visits. RESULTS: Of 35,806 patients with asthma, 46.6% were male, and 35.8% were younger than 18 years. The mean annual prevalence of SALAC was 12.1%. Controlling for all other variables, the generalized estimating equation results indicate that prior-year SALAC is associated with a 60% increased risk of subsequent-year AAE (P <.001). Increased prior-year asthma outpatient visits and SABA use are associated with 34% and 85%, respectively, greater risks of subsequent-year AAE (P <.001 for both). CONCLUSION: SALAC and its components can aid in predicting patients at risk for AAE.

Attainment of combined optimal lipid values and the impact of lipid medication on cardiovascular outcomes and costs in a commercially insured population in the US.

OBJECTIVE: To determine factors associated with the achievement of optimal lipid values (OLVs) and subsequent impact on clinical and economic outcomes. METHODS: An observational managed care database analysis was conducted among treatment-naïve adults with elevated cardiovascular (CV) risk, >or=12 months follow-up and full lipid panel from the 1st January 2002 to the 28th February 2005. Achievement of guideline-based levels for low-density lipoprotein cholesterol, high-density lipoprotein cholesterol and triglycerides was evaluated via laboratory data. Annual CV-attributable resource utilisation was assessed via medical and pharmacy claims data. Clinical and economic outcomes associated with the achievement of OLVs were assessed using multivariate regression. RESULTS: A total of 52,778 patients were followed for a mean (standard deviation) of 27 (10) months with 13% achieving combined OLVs at baseline and 23% after 4 years. Of patients, 69% did not initiate lipid-modifying medication. The achievement of combined OLVs reduced the risk of CV event (odds ratio=0.86; 95% confidence interval 0.78-0.95), resource utilisation (inpatient visits: 3.36 vs. 4.41 per 100 patient years, p<0.0001; emergency department visits: 1.1 vs. 2.4 per 100 patient years, p<0.05) and costs: $703 vs. $903 per patient year, p<0.0001. CONCLUSIONS: Simultaneous achievement of OLVs was rare in this patient population. Physicians should be encouraged to manage multiple risk factors aggressively to improve clinical and economic outcomes associated with CV disease.