Journal of Health Economics and Outcomes Research最新文献

Background: Demonstrating the cost-effectiveness of new treatments for multiple myeloma (MM) often relies on the extrapolation of overall survival (OS) trial data. This method can introduce uncertainty in long-term survival estimates if OS data are immature, as is often the case in newly diagnosed MM (NDMM). We explore the use of the relationship between minimal residual disease (MRD) status and OS to reduce uncertainty of long-term survival outcomes. Objectives: To evaluate if uncertainty in long-term modeled outcomes in NDMM is reduced using a response-based partitioned survival model (PSM), whereby patients were categorized as MRD-positive or -negative, relative to a standard PSM, when OS data are immature. Methods: Standard and response-based PSMs, estimating patient life-years (LYs) over a lifetime horizon, were developed for NDMM patients treated with bortezomib, thalidomide, and dexamethasone (BTd) with or without daratumumab as induction and consolidation therapy. In the standard PSM, LYs were determined by extrapolations from individual patient data from CASSIOPEIA. In the response-based PSM, survival was dependent on MRD status at the time of the response assessment via a landmark analysis. Cox-proportional hazard ratios from external sources and CASSIOPEIA informed the relationship for OS between MRD-positive and MRD-negative, and between patients receiving BTd and daratumumab plus BTd, respectively. Uncertainty was assessed by comparing LYs and OS extrapolations from deterministic and probabilistic analyses. Results: This response-based PSM demonstrated reduced uncertainty in long-term survival outcomes compared with the standard PSM (range across extrapolations of 3.4 and 7.7 LYs for daratumumab plus BTd and BTd, respectively, vs 14.8 and 11.8 LYs for the standard PSM). It also estimated a narrower interquartile range of LYs in the probabilistic analyses for the majority of parametric extrapolations. Discussion: Alternative methods to estimate long-term survival outcomes, such as a response-based PSM, can reduce uncertainty in modeling predictions around cost-effectiveness estimates for health technology assessment bodies and payers, thereby supporting faster market access for novel therapies with immature survival data. Conclusions: Use of MRD status in a response-based PSM reduces uncertainty in modeling long-term survival in patients with NDMM and provides a greater number of clinically plausible extrapolations compared with a standard PSM.

The authors respond to the comments raised in the letter regarding Adeniji and Obembe's article on catastrophic health expenditures in sub-Saharan Africa.

The Institute for Clinical and Economic Review (ICER), a nonprofit, nongovernmental organization, is the predominant independent price assessor in the United States. ICER's cost effectiveness assessments are increasingly being used to support health insurance coverage and healthcare policy decisions. ICER often does not apply rigorous data quality and inclusion criteria to either the assumptions embedded within their cost-effectiveness models or the data inputted into the models. Poor quality assumptions and data can lead to poor quality assessments. ICER should re-evaluate their reliance on quality adjusted life-years and equal value of life years gained as measures of drug effectiveness, establish data quality and inclusiveness minimum standards, produce cost-effectiveness assessments only when the minimum data is available, and prominently report data quality and inclusion limitations. These changes will increase the rigor and inclusiveness of drug price assessments and support sustainable access to high-value care for all Americans.

Background: The effect of gestational age (GA) on comorbidity prevalence, healthcare resource utilization (HCRU), and all-cause costs is significant for extremely premature (EP) infants in the United States. Objectives: To characterize real-world patient characteristics, prevalence of comorbidities, rates of HCRU, and direct healthcare charges and societal costs among premature infants in US Medicaid programs, with respect to GA and the presence of respiratory comorbidities. Methods: Using International Classification of Diseases, Ninth/Tenth Revision, Clinical Modification codes, diagnosis and medical claims data from 6 state Medicaid databases (1997-2018) of infants born at less than 37 weeks of GA (wGA) were collected retrospectively. Data from the index date (birth) up to 2 years corrected age or death, stratified by GA (EP, ≤28 wGA; very premature [VP], >28 to <32 wGA; and moderate to late premature [M-LP], ≥32 to <37 wGA), were compared using unadjusted and adjusted generalized linear models. Results: Among 25 573 premature infants (46.1% female; 4462 [17.4%] EP; 2904 [11.4%] VP; 18 207 [71.2%] M-LP), comorbidity prevalence, HCRU, and all-cause costs increased with decreasing GA and were highest for EP. Total healthcare charges, excluding index hospitalization and all-cause societal costs (US dollars), were 2 to 3 times higher for EP than for M-LP (EP $74 436 vs M-LP $27 541 and EP $28 504 vs M-LP $15 892, respectively). Conclusions: Complications of preterm birth, including prevalence of comorbidities, HCRU, and costs, increased with decreasing GA and were highest among EP infants during the first 2 years in this US analysis.

Background: Comorbidities are common in patients with multiple sclerosis (MS), thus increasing the complexity of disease management and economic burden and worsening their prognosis and quality of life. Real-world evidence comparing comorbidities and multimorbidity patterns of commercially insured vs Medicare enrollees with MS is lacking. Objective: To evaluate the patterns of comorbidity and multimorbidity among patients with MS in a US commercially insured and Medicare Advantage population. Methods: This retrospective observational cohort study was conducted using Aetna health claims data from January 1, 2015, to October 31, 2019. Eligibility criteria were (1) at least 3 MS-related inpatient/outpatient (ICD-10-CM: G35), or disease-modifying therapy claims within 1 year (date of first claim = index date); (2) Aetna commercial health plan or Medicare Advantage medical and pharmacy benefits at least 12 months pre-/post-index; and (3) age 18 and older. Commercially insured patients, Medicare Advantage patients younger than 65 years of age, and Medicare Advantage patients 65 years and older were compared. Results: Among 5000 patients (mean [SD] age, 52.6 [12.9]; 75.2% female), 53% had commercial insurance and 47% had Medicare Advantage (59.2% disabled age <65). Medicare Advantage patients were older (age <65: 53.3 [7.9]; age ≥65: 70.8 [5.2]) vs commercial (age, 45.7 [10.2]), had greater comorbidity burden (Charlson Comorbidity Index; age <65: 1.17 [1.64], age ≥65: 1.65 [1.95]) vs commercial (0.53 [1.02]) (all P < .0001). Symptoms specific to MS (ie, malaise, fatigue, depression, spasms, fibromyalgia, convulsions) were more common among patients younger than 65 (all P < .0001). Age-related and other comorbidities (ie, hypertension, hyperlipidemia, dyspepsia, osteoarthritis, osteoporosis, glaucoma, diabetes, cerebrovascular, cancer) were more common among patients 65 years and older Medicare Advantage (all P < .0001). Multiple comorbidities were highly prevalent (median, 4 comorbidities), particularly among Medicare Advantage patients younger than 65 (median, 6) and Medicare Advantage patients 65 and older (median, 7). Conclusions: Comorbidities and multimorbidity patterns differed between patients with MS with commercial insurance and patients with Medicare Advantage. Multimorbidity was highly prevalent among patients with MS and should be considered in the context of clinical decision making to ensure comprehensive MS management and improve outcomes.

Background: A consensus is lacking on optimal treatment sequencing for follicular lymphoma (FL), the most common indolent lymphoma. FL is incurable, and many patients require multiple lines of therapy for successive relapses. Guidelines provide numerous recommendations for first-, second-, and third-line therapy; however, treatment patterns in the real world remain poorly understood. Objectives: The primary objective of this study is to evaluate real-world treatment patterns among commercially insured patients with FL in the United States. Methods: A retrospective cohort of patients with newly diagnosed FL was identified from June 2008 to September 2016 using the IBM MarketScan® database. Treatment pattern measures, including time to treatment from diagnosis, days from previous line of therapy, duration of therapy, and distribution of treatment regimens among lines of therapy, were assessed. Descriptive statistics were reported for baseline characteristics, primary outcome, and treatment pattern measures. Results: In total, 4232 patients were identified from the database and 2111 patients received at least 1 line of treatment. The most common first-line treatments included bendamustine + rituximab (39%), rituximab + cyclophosphamide + doxorubicin + vincristine (20%), and rituximab monotherapy (19%). Rituximab monotherapy was the most common second-line (34%) and third or greater line (57%) treatment. The median time from FL diagnosis to initiation of treatment was 50 days (interquartile range [IQR]: 28-191) for first-line treatment, 577 days (IQR: 312-1146) for second-line, and 776 days (IQR: 603-1290) for third-line. Discussion: At a median follow-up of 3.6 years, most patients had 1 or fewer lines of therapy. The use of combination therapy decreased with each line of therapy and the numbers of patients receiving third- or fourth-line therapy were small in this study, potentially due to the short follow-up. Rituximab as monotherapy or in combination was utilized most frequently; however, the variety of other therapies used demonstrates that the standard management of FL remains unclear. Conclusions: Consensus on optimal treatment sequencing is currently lacking, and patients receive a variety of active regimens during routine practice. In this contemporary cohort of patients diagnosed with FL in the United States, rituximab therapy predominated both in monotherapy and in combination.

Background: Multiple sclerosis (MS) is a chronic inflammatory autoimmune disease of the central nervous system. Pediatric-onset MS (POMS), defined as onset of MS before 18 years of age, is estimated to account for 2% to 5% of the MS population worldwide. Objectives: To conduct a literature review focused on the healthcare resource utilization and cost as well as quality-of-life (QOL) outcomes among patients with POMS. Methods: We conducted a systematic literature review of English-language studies published after September 2010 in MEDLINE and Embase to describe the global economic healthcare resource utilization and costs and humanistic (QOL) burden in patients with POMS. Results: We found 11 studies that reported on healthcare resource utilization, cost, or insurance coverage and 36 studies that reported on QOL outcomes in patients with POMS. Patients with POMS had higher rates of primary care visits (1.41 [1.29-1.54]), hospital visits (10.74 [8.95-12.90]), and admissions (rate ratio, 4.27 [2.92-6.25];OR, 15.2 [12.0-19.1]) compared with healthy controls. Mean per-patient costs in the United States were $5907 across all settings per year of follow-up between 2002 and 2012; mean costs per hospital stay were $38 543 (in 2015 USD) between 2004 and 2013. Three studies reported psychosocial scores between 71.59 and 79.7, and 8 studies reported physical health scores between 74.62 to 82.75 using the Pediatric Quality of Life Measurement Model (PedsQLTM). Twelve studies used the PedsQL™ Multidimensional Fatigue Scale. Mean scores on the self-reported general fatigue scale ranged from 63.15 to 78.5. Quality-of-life scores were lower than those of healthy controls. Discussion: Our review presents a uniquely broad and recent overview of the global economic and humanistic burden of patients with POMS. Additional research on healthcare resource utilization and cost would provide a more robust understanding of the economic burden in this population. Conclusions: Healthcare resource utilization and costs are high in this population, and patients report reduced QOL and significant fatigue compared with healthy children and adolescents.