Publications by authors named "Louis Garrison"

Objective: Recent scientific breakthroughs have propelled the development of disease-modifying and potentially curative cell and gene therapies (CGTs) for rare diseases, including those diseases previously considered untreatable. However, the unique characteristics of CGTs pose challenges for the traditional methods of therapy value determination, reimbursement, and outcome evaluation used by regulatory and assessment agencies for product approval and market access. Notably, CGTs are one-time or short-course treatments, often first-in-class (precluding direct comparisons with effective alternatives), and have health benefits that are largely realized over time.

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The healthcare system in the United States (US) is complex and often fragmented across national and regional health plans which exhibit substantial variability in benefit design and formulary policies for accessing medications. We propose an access-focused value assessment framework for formulary decision-making for medications to manage immune-mediated inflammatory diseases (IMIDs), where patients are at the center of this framework. Formulary decision-making for IMID medications can be a challenging, even daunting, task with continuously evolving and enhanced treat-to-target goals.

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It is well known that healthcare resource constraints influence the capacity to deliver care, affecting both the costs and outcomes of medical interventions. If these constraints are not adequately accounted for in economic evaluations, there may be a lack of understanding regarding the full impact of implementing health technologies, leading to decisions being made with suboptimal information. This paper offers an overview of the types of healthcare resource constraints and their potential effects, and introduces a framework grounded in operations research and health economics principles, outlining the methodological considerations for incorporating resource constraints into economic evaluations.

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Article Synopsis
  • - Caregivers play a crucial role in supporting individuals with serious health conditions, but this responsibility can lead to various financial, physical, and emotional challenges for them.
  • - Health technology assessment (HTA) agencies usually focus on patient outcomes while neglecting the impact on caregivers, which can result in suboptimal health benefits for the overall system.
  • - A proposed framework based on the intensity and duration of caregiving aims to help researchers and decision-makers incorporate caregiver outcomes into health policies, highlighting the necessity of acknowledging caregiver burden.
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This study argues that value assessment conducted from a societal perspective should rely on the Generalized Cost-Effectiveness Analysis (GCEA) framework proposed herein. Recently developed value assessment inventories - such as the Second Panel on Cost-Effectiveness's "impact inventory" and International Society of Pharmacoeconomics Outcomes Research (ISPOR) "value flower" - aimed to more comprehensively capture the benefits and costs of new health technologies from a societal perspective. Nevertheless, application of broader value elements in practice has been limited in part because quantifying these elements can be complex, but also because there have been numerous methodological advances since these value inventories have been released (e.

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  • This economic model estimates an Economically Justifiable Price (EJP) for donanemab, a treatment for early symptomatic Alzheimer's disease, based on clinical data from the TRAILBLAZER-ALZ 2 trial.
  • Using a Markov state-transition model, the study evaluates the EJP at different willingness-to-pay (WTP) thresholds from both healthcare system and societal perspectives, finding a 1-year EJP of $80,538 at a WTP of $150,000 per QALY.
  • The results suggest that the EJP for donanemab suggests potential lower lifetime costs and better overall value compared to existing amyloid-targeting therapies, indicating a favorable
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  • The study aims to understand how potential future cancer treatment innovations influence oncologists' current treatment decisions and discussions with patients.* -
  • An online survey with 201 oncologists revealed that a significant majority would discuss future treatments if they promised improved survival chances, especially if available soon.* -
  • The results suggest that acknowledging the potential benefits of future innovations could enhance treatment decision-making; thus, guidelines should incorporate this aspect for better patient care.*
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Following the development of a value of vaccination (VoV) framework for health technology assessment/cost-effectiveness analysis (HTA/CEA), and identification of three vaccination benefits for near-term inclusion in HTA/CEA, this final paper provides decision makers with methods and examples to consider benefits of health systems strengthening (HSS), equity, and macroeconomic gains. Expert working groups, targeted literature reviews, and case studies were used. Opportunity cost methods were applied for HSS benefits of rotavirus vaccination.

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Background: Economic evaluation of one-time therapies during reimbursement decision-making is challenging due to uncertain long-term outcomes. The availability of 5-year outcome data from the ELIANA trial and real-world evidence of tisagenlecleucel, the first chimeric antigen receptor T-cell (CAR-T) therapy, presents an opportunity to re-evaluate the predictions of prior cost-effectiveness analyses (CEAs).

Objective: To conduct a systematic literature review (SLR) of prior CEAs of tisagenlecleucel for pediatric/young adult relapsed or refractory acute lymphoblastic leukemia (r/r ALL) and evaluate the impact of recently available 5-year efficacy data from ELIANA and advances in CAR-T manufacturing in an updated CEA model.

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Objectives: Between 2013 to 2019, several all-oral direct-acting antivirals (DAAs) were launched with the potential to cure patients with hepatitis C virus (HCV). They generated economic value in terms of the health gains for patients and cost-savings for the US healthcare system. We estimated the share of this value allocated to 4 manufacturers vs society.

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The COVID-19 pandemic's dramatic impact has been a vivid reminder that vaccines-especially in the context of infectious respiratory viruses-provide enormous societal value, well beyond the healthcare system perspective which anchors most Health Technology Assessment (HTA) and National Immunization Technical Advisory Group (NITAG) evaluation frameworks. Furthermore, the development of modified ribonucleic acid-based (mRNA-based) and nanoparticle vaccine technologies has brought into focus several new value drivers previously absent from the discourse on vaccines as public health interventions such as increased vaccine adaptation capabilities, the improved ability to develop combination vaccines, and more efficient vaccine manufacturing and production processes. We review these novel value dimensions and discuss how they might be measured and incorporated within existing value frameworks using existing methods.

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The move toward early detection and treatment of cancer presents challenges for value assessment using traditional endpoints. Current cancer management rarely considers the full economic and societal benefits of therapies. Our study used a modified Delphi process to develop principles for defining and assessing value of cancer therapies that aligns with the current trajectory of oncology research and reflects broader notions of value.

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Interest in using patient preference (PP) data alongside traditional economic models in health technology assessment (HTA) is growing, including using PP data to quantify non-health benefits. However, this is limited by a lack of standardised methods. In this article, we describe a method for using discrete choice experiment (DCE) data to estimate the value of non-health benefits in terms of quality-adjusted survival equivalence (QASE), which is consistent with the concept of value prevalent among HTA agencies.

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Objectives: To develop preliminary good practice recommendations for synthesising and linking evidence of treatment effectiveness when modelling the cost-effectiveness of diagnostic tests.

Methods: We conducted a targeted review of guidance from key Health Technology Assessment (HTA) bodies to summarise current recommendations on synthesis and linkage of treatment effectiveness evidence within economic evaluations of diagnostic tests. We then focused on a specific case study, the cost-effectiveness of troponin for the diagnosis of myocardial infarction, and reviewed the approach taken to synthesise and link treatment effectiveness evidence in different modelling studies.

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Background: Considerable progress has been made in defining and measuring the real option value (ROV) of medical technologies. However, questions remain on how to estimate (1) ROV outside of life-extending oncology interventions; (2) the impact of ROV on costs and cost effectiveness; and (3) potential interactions between ROV and other elements of value.

Methods: We developed a 'minimal modeling' approach for estimating the size of ROV that does not require constructing a full, formal cost-effectiveness model.

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Background: Contemporary debates about drug pricing feature several widely held misconceptions, including the relationship between incentives and innovation, the proportion of total healthcare spending on pharmaceuticals, and whether the economic evaluation of a medicine can be influenced by things other than clinical efficacy.

Main Body: All citizens should have access to timely, equitable, and cost-effective care covered by public funds, private insurance, or a combination of both. Better managing the collective burden of diseases borne by today's and future generations depends in part on developing better technologies, including better medicines.

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We investigated the effect of shortening time between innovations with the accelerated approval (AA) pathway on patient outcomes for three solid tumors. This real-world analysis evaluated patients receiving sequential AA pathway-approved innovations after initial treatment with existing therapies in three solid tumor case studies. Outcomes attributable to AA were estimated and assumed approval occurred at the time of conversion to approval and extrapolated to the US population.

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Objectives: Healthcare payers often implement coverage policies that restrict the utilization of costly new first-line treatments. Cost-effectiveness analysis can be conducted to inform these decisions by comparing the new treatment with an existing one. However, this approach may overlook important factors such as treatment effect heterogeneity and endogenous treatment selection, policy implementation costs, and diverse patient preferences across multiple treatment options.

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Allogeneic hematopoietic cell transplantation (allo-HCT) has the potential for curative outcomes for a variety of hematologic malignancies. Current allo-HCT studies often describe the outcomes and costs in the near term; however, research on the lifetime economic burden post-allo-HCT remains limited. This study was conducted to estimate the average total lifetime direct medical costs of an allo-HCT patient and the potential net monetary savings from an alternative treatment associated with improved graft-versus-host disease (GVHD)-free, relapse-free survival (GRFS).

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Background And Objective: Distributional cost-effectiveness analysis (DCEA) facilitates quantitative assessments of how health effects and costs are distributed among population subgroups, and of potential trade-offs between health maximisation and equity. Implementation of DCEA is currently explored by the National Institute for Health and Care Excellence (NICE) in England. Recent research conducted an aggregate DCEA on a selection of NICE appraisals; however, significant questions remain regarding the impact of the characteristics of the patient population (size, distribution by the equity measure of interest) and methodologic choices on DCEA outcomes.

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Objectives: Pakistan has a hepatitis C virus (HCV) infection prevalence of 6%-9% and aims to achieve World Health Organisation (WHO) targets for elimination of HCV by the year 2030. We aim to evaluate the potential cost-effectiveness of a reference laboratory-based (centralised laboratory testing; CEN) confirmatory testing approach versus a molecular near-patient point-of-care (POC) confirmatory approach to screen the general population for HCV in Pakistan.

Study Design: We used a decision tree-analytic model from a governmental (formal healthcare sector) perspective.

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The National Center for Advancing Translational Sciences' virtual 2021 conference on gene-targeted therapies (GTTs) encouraged multidisciplinary dialogue on a wide range of GTT topic areas. Each of three parallel working groups included social scientists and clinical scientists, and the three major sessions included a presentation on economic issues related to their focus area. These experts also coordinated their efforts across the three groups.

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