Determinants of high cost in multiple sclerosis patients: a claims and chart review study

Economic burden of multiple sclerosis in the United States: A systematic literature review

BACKGROUND

Multiple sclerosis (MS) is chronic progressive disease that poses a significant economic burden to patients and health care systems in the United States. We conducted a systematic literature review to provide up-to-date insights on the economic burden of MS in the United States.

OBJECTIVE

To comprehensively review and summarize the latest published evidence on the economic burden of MS with a focus on cost, resource use, and work productivity.

METHODS

A systematic literature search was conducted using the Embase and Medline databases to identify studies, published between January 2011 and July 2022, reporting cost, resource use, or work productivity outcomes among people with MS in the United States. Clinical trials, economic modeling studies, and review articles were excluded. Details of eligible studies, including study design, patient population, and study outcomes for the overall population, as well as subgroups of interest, were extracted and summarized qualitatively.

RESULTS

Overall, 65 studies reporting cost, resource use, or work productivity data were included with majority of studies using claims data. The direct costs associated with MS ranged from $16,614 (2006) to $72,744 (2017) per patient per year with diseasemodifying therapies (DMTs) being the major cost contributors accounting for 43%-78%. The indirect costs reported ranged from $9,122 (2017) to $30,601 (2011) per patient per year with absenteeism, early retirement, and informal care being the key drivers for indirect costs. Costs, resource use, and work impairment were significantly higher for patients with severe disability compared with those with mild disability. Pharmacy costs were the major cost drivers in patients with mild, moderate, and severe disability. Similarly, patients with relapses incurred significantly higher costs, resource use, and work impairment compared with those without relapses. Additional hospitalization charges were the major driver of higher costs in patients who experienced relapses compared with those without relapses.

CONCLUSIONS

Direct costs, particularly DMTs, appear to be the major cost drivers for people with MS in the United States. Availability of lower-cost therapies may considerably decrease the economic burden on these patients and the health care systems. Future research focusing on indirect costs, intangible costs, and their contributors would contribute to further understanding of economic burden to avoid underestimation of the financial burden experienced by the patients.

Temporal trends of multiple sclerosis disease activity: Electronic health records indicators

BACKGROUND

Long-term data on multiple sclerosis (MS) inflammatory disease activity are limited. We examined electronic health records (EHR) indicators of disease activity in people with MS.

METHODS

We analyzed prospectively collected research registry data and linked EHR data in a clinic-based cohort from 2000 to 2016. We used the trend of the yearly incident relapse rate from the registry data as benchmark. We then calculated the temporal trends of potentially relevant EHR measures, including mean count of the MS diagnostic code, mentions of MS-related concepts, MS-related health utilizations and selected prescriptions.

RESULTS

1,555 MS patients had both registry and EHR data. Between 2000 and 2016, the registry data showed a declining trend in the yearly incident relapse rate, parallel to an increasing trend of DMT usage. Among the EHR measures, covariate-adjusted frequency of diagnostic code of MS, procedure codes of MS-related imaging studies and emergency room visits, and electronic prescription for steroids declined over time, mirroring the temporal trend of the benchmark yearly incident relapse rate.

CONCLUSION

This study highlights EHR indicators of MS relapse that could enable large-scale examination of long-term disease activities or inform individual patient monitoring in clinical settings where EHR data are available.

Data Integration to Improve Real-world Health Outcomes Research for Non-Small Cell Lung Cancer in the United States: Descriptive and Qualitative Exploration

Background

The integration of data from disparate sources could help alleviate data insufficiency in real-world studies and compensate for the inadequacies of single data sources and short-duration, small sample size studies while improving the utility of data for research.

Objective

This study aims to describe and evaluate a process of integrating data from several complementary sources to conduct health outcomes research in patients with non–small cell lung cancer (NSCLC). The integrated data set is also used to describe patient demographics, clinical characteristics, treatment patterns, and mortality rates.

Methods

This retrospective cohort study integrated data from 4 sources: administrative claims from the HealthCore Integrated Research Database, clinical data from a Cancer Care Quality Program (CCQP), clinical data from abstracted medical records (MRs), and mortality data from the US Social Security Administration. Patients with lung cancer who initiated second-line (2L) therapy between November 01, 2015, and April 13, 2018, were identified in the claims and CCQP data. Eligible patients were 18 years or older and received atezolizumab, docetaxel, erlotinib, nivolumab, pembrolizumab, pemetrexed, or ramucirumab in the 2L setting. The main analysis cohort included patients with claims data and data from at least one additional data source (CCQP or MR). Patients without integrated data (claims only) were reported separately. Descriptive and univariate statistics were reported.

Results

Data integration resulted in a main analysis cohort of 2195 patients with NSCLC; 2106 patients had CCQP and 407 patients had MR data. The claims-only cohort included 931 eligible patients. For the main analysis cohort, the mean age was 62.1 (SD 9.27) years, 48.56% (1066/2195) were female, the median length of follow-up was 6.8 months, and for 37.77% (829/2195), death was observed. For the claims-only cohort, the mean age was 66.6 (SD 12.69) years, 52.1% (485/931) were female, the median length of follow-up was 8.6 months, and for 29.3% (273/931), death was observed. The most frequent 2L treatment was immunotherapy (1094/2195, 49.84%), followed by platinum-based regimens (472/2195, 21.50%) and single-agent chemotherapy (441/2195, 20.09%); mean duration of 2L therapy was 5.6 (SD 4.9, median 4) months. We describe challenges and learnings from the data integration process, and the benefits of the integrated data set, which includes a richer set of clinical and outcome data to supplement the utilization metrics available in administrative claims.

Conclusions

The management of patients with NSCLC requires care from a multidisciplinary team, leading to a lack of a single aggregated data source in real-world settings. The availability of integrated clinical data from MRs, health plan claims, and other sources of clinical care may improve the ability to assess emerging treatments.

Real-World Evidence on the Societal Economic Relapse Costs in Patients with Multiple Sclerosis

BACKGROUND

Relapses are the hallmark of multiple sclerosis (MS). Analyses have shown that the cost of MS increases during periods of relapse. However, results are inconsistent between studies, possibly due to different study designs and the different implications of relapses with respect to patient characteristics.

OBJECTIVES

The aims were to estimate and describe direct and indirect relapse costs and to determine differences in costs with respect to patient characteristics. Furthermore, we describe the pharmacoeconomic impact during the relapse follow-up.

METHODS

Data were extracted from two German, multicenter, observational studies applying a validated resource costs instrument. Relapse costs were calculated as the difference in quarterly costs between propensity score (PS)-matched patients with and without relapses (1:1 ratio). For relapse active patients, we additionally calculated the difference between quarterly costs prior to and during relapse and determined costs in the post-relapse quarter.

RESULTS

Of 1882 patients, 607 (32%) presented at least one relapse. After PS-matching, 597 relapse active and relapse inactive patients were retained. Relapse costs (in 2019 values) ranged between €791 (age 50 + years) and €1910 (disease duration < 5 years). In mildly disabled and recently diagnosed patients, indirect relapse costs (range €1073-€1207) constantly outweighed direct costs (range €591-€703). The increase from prior quarter to relapse quarter was strongest for inpatient stays (+ 366%, €432; p < 0.001), day admissions (+ 228%, €57; p < 0.001), and absenteeism (127%, €463; p < 0.001). In the post-relapse quarter, direct costs and costs of absenteeism remained elevated for patients with relapse-associated worsening.

CONCLUSION

A recent diagnosis and mild disability lead to high relapse costs. The results suggest the necessity to incorporate patient characteristics when assessing relapse costs.

Healthcare resource utilization and costs for multiple sclerosis management in the Campania region of Italy: Comparison between centre-based and local service healthcare delivery

Background

Multiple sclerosis (MS) requires multidisciplinary management. We evaluated differences in healthcare resource utilization and costs between Federico II and Vanvitelli MS Centres of Naples (Italy), representative of centralised (i.e., MS Care Unit) and local service-based models of multidisciplinary care, respectively.

Methods

We included MS patients continuously seen at the same local healthcare services and MS Centre (Federico II = 187; Vanvitelli = 90) from 2015 to 2017. Healthcare resources for MS treatment and management were collected and costs were calculated. Adherence was estimated as the rate of medication possession ratio (MPR) during 3-years of follow-up. Mixed-effect linear regression models were used to estimate differences in all outcomes between Federico II and Vanvitelli.

Results

Patients at Federico II had more consultations within the MS centre (p<0.001), blood tests (p<0.001), and psychological/cognitive evaluations (p = 0.040). Patients at Vanvitelli had more consultations at local services (p<0.001). Adherence was not-significantly lower at Vanvitelli (p = 0.060), compared with Federico II. Costs for MS treatment and management were 10.6% lower at Vanvitelli (12417.08±8448.32EUR) (95%CI = -19.0/-2.7%;p = 0.007), compared with Federico II (15318.57±10919.59EUR).

Discussion

Healthcare services were more complete (and expensive) at the Federico II centralised MS Care Unit, compared with the Vanvitelli local service-based organizational model. Future research should evaluate whether better integration between MS Centres and local services can lead to improved MS management and lower costs.

Administrative claims data to support pragmatic clinical trial outcome ascertainment on cardiovascular health

BACKGROUND/AIMS

Health plan administrative claims data present a cost-effective complement to traditional trial-specific ascertainment of clinical events typically conducted through patient report or a single health system electronic health record. We aim to demonstrate the value of health plan claims data in improving the capture of endpoints in longitudinal pragmatic clinical trials.

METHODS

This retrospective cohort study paralleled the design of the ADAPTABLE (Aspirin Dosing: A Patient-centric Trial Assessing Benefits and Long-Term Effectiveness) trial designed to compare the effectiveness of two doses of aspirin. We applied the ADAPTABLE identification query in claims data from Anthem, an American health insurance company, and identified health plan members who met the ADAPTABLE trial criteria. Among the ADAPTABLE eligible members, we selected overlapping members with PCORnet Clinical Data Research Networks in the 2 years prior to the index date (1 April 2014). PCORnet Clinical Data Research Networks consist of network partners (or healthcare systems) that store their electronic health record data in the same format to support multi-institutional research. ADAPTABLE outcome events-cardiovascular hospitalizations including admissions for myocardial infarction, stroke, or cardiac procedures; hospitalizations for major bleeding; and in-hospital deaths-were evaluated for a 2-year follow-up period. Events were classified as within or outside PCORnet Clinical Data Research Networks using facility identifiers affiliated with each hospital stay. Patient characteristics were examined with descriptive statistics, and incidence rates were reported for available Clinical Data Research Networks and claims data.

RESULTS

Among 884,311 ADAPTABLE eligible health plan members, 11,101 patients overlapped with PCORnet Clinical Data Research Networks. Average age was 70 years, 71% were male, and average follow-up was 20.7 months. Patients had 1521 cardiovascular hospitalizations (571 (37.5%) occurred outside PCORnet Clinical Data Research Networks), 710 for major bleeding (296 (41.7%) outside PCORnet Clinical Data Research Networks), and 196 in-hospital deaths (67 (34.2%) outside PCORnet Clinical Data Research Networks). Incidence rates (events per1000 patient-months) differed between available network partners and claims data: cardiovascular hospitalizations, 4.1 (95% confidence interval: 3.9, 4.4) versus 6.6 (95% confidence interval: 6.3, 7.0), major bleeding, 1.8 (95% confidence interval: 1.6, 2.0) versus 3.1 (95% confidence interval: 2.9, 3.3), and in-hospital death, 0.56 (95% confidence interval: 0.47, 0.67) versus 0.85 (95% confidence interval: 0.74, 0.98), respectively.

CONCLUSION

This study demonstrated the value of supplementing longitudinal site-based clinical studies with administrative claims data. Our results suggest that claims data together with network partner electronic health record data constitute an effective vehicle to capture patient outcomes since >30% of patients have non-fatal and fatal events outside of enrolling sites.

Comparison of two high doses of oral methylprednisolone for multiple sclerosis relapses: a pilot, multicentre, randomized, double-blind, non-inferiority trial

BACKGROUND AND PURPOSE

Oral or intravenous methylprednisolone (≥500 mg/day for 5 days) is recommended for multiple sclerosis (MS) relapses. Nonetheless, the optimal dose remains uncertain. We compared clinical and radiological effectiveness, safety and quality of life (QoL) of oral methylprednisolone [1250 mg/day (standard high dose)] versus 625 mg/day (lesser high dose), both for 3 days] in MS relapses.

METHODS

A total of 49 patients with moderate to severe MS relapse within the previous 15 days were randomized in a pilot, double-blind, multicentre, non-inferiority trial (ClinicalTrial.gov, NCT01986998). The primary endpoint was non-inferiority of the lesser high dose by Expanded Disability Status Scale (EDSS) score improvement on day 30 (non-inferiority margin, 1 point). The secondary endpoints were EDSS score change on days 7 and 90, changes in T1 gadolinium-enhanced and new/enlarged T2 lesions on days 7 and 30, and safety and QoL results.

RESULTS

The primary outcome was achieved [mean (95% confidence interval) EDSS score difference, -0.26 (-0.7 to 0.18) at 30 days (P = 0.246)]. The standard high dose yielded a superior EDSS score improvement on day 7 (P = 0.028). No differences were observed in EDSS score on day 90 (P = 0.352) or in the number of T1 gadolinium-enhanced or new/enlarged T2 lesions on day 7 (P = 0.401, 0.347) or day 30 (P = 0.349, 0.529). Safety and QoL were good at both doses.

CONCLUSIONS

A lesser high-dose oral methylprednisolone regimen may not be inferior to the standard high dose in terms of clinical and radiological response.

Adherence to disease-modifying therapies and its impact on relapse, health resource utilization, and costs among patients with multiple sclerosis

Purpose

To evaluate adherence to disease-modifying therapies (DMTs) among patients with multiple sclerosis (MS) initiating oral and injectable DMTs, and to estimate the impact of adherence on relapse, health resource utilization, and medical costs.

Patients and methods

Commercially insured MS patients (aged 18–65 years, two or more MS diagnoses, one or more DMT claims) with continuous eligibility 12 months before and after the first DMT claim date (index date) and no DMT claim during the pre-index period were identified from a large commerical claims database for the period from January 1, 2008, to September 30, 2015. Adherence to the index DMT was measured by the 12-month post-index proportion of days covered (PDC) and compared between oral and injectable DMT initiators. After adjustment for sex, age at index DMT, and comorbidities, regression models examined the relationship between adherence and relapse risk, MS-related health resource utilization, and non-drug medical costs (2015 US$).

Results

The study covered 12,431 patients and nine DMTs. Adherence to the index DMT did not differ significantly between oral (n=1,018) and injectable (n=11,413) DMTs when assessed by mean PDC (0.7257±0.2934 vs 0.7259±0.2869, respectively; P=0.0787), or percentages achieving PDC ≥0.8 (61.4% vs 58.6%, respectively; P=0.0806). Compared to non-adherence, adherence to DMT significantly reduced the likelihood of relapse in the post-index 12 months by 42%, hospitalization by 52%, and emergency visits by 38% (all, P<0.0001). Adherent patients would be expected to have on average 0.7 fewer outpatient visits annually versus non-adherent patients (P<0.0001). Based on the differences in predicted mean costs, adherence (vs non-adherence) would decrease the total annual medical care costs by $5,816 per patient, including hospitalization costs by $1,953, emergency visits by $171, and outpatient visits by $2,802.

Conclusion

Adherence remains suboptimal but comparable between oral and injectable DMTs. Potential health and economic benefits underscore the importance of improving adherence in MS.

Healthcare Costs for Treating Relapsing Multiple Sclerosis and the Risk of Progression: A Retrospective Italian Cohort Study from 2001 to 2015

BACKGROUND

Disease modifying treatments (DMTs) are the main responsible for direct medical costs in multiple sclerosis (MS). The current investigation aims at evaluating possible associations between healthcare costs for treating relapsing remitting MS (RRMS) and disease evolution.

METHODS

The present cohort study retrospectively included 544 newly diagnosed RRMS patients, prospectively followed up for 10.1±3.3 years. Costs for DMT administration and management were calculated for each year of observation. Following clinical endpoints were recorded: time to first relapse, 1-point EDSS progression, reaching of EDSS 4.0, reaching of EDSS 6.0, and conversion to secondary progressive MS (SP). Covariates for statistical analyses were age, gender, disease duration and EDSS at diagnosis.

RESULTS

At time varying Cox regression models, 10% increase in annual healthcare costs was associated with 1.1% reduction in 1-point EDSS progression (HR = 0.897; p = 0.018), with 0.7% reduction in reaching EDSS 6.0 (HR = 0.925; p = 0.030), and with 1.0% reduction in SP conversion (HR = 0.902; p = 0.006).

CONCLUSION

Higher healthcare costs for treating MS have been associated with a milder disease evolution after 10 years, with possible reduction of long-term non-medical direct and indirect costs.