PharmacoEconomics最新文献

Providing health-related quality of life (HRQoL) value sets to enable estimation of quality adjusted life years (QALYs) is important in facilitating economic evaluation and in supporting reliable decision-making about healthcare. However, as the field matures, many value sets across a range of HRQoL instruments are now old, based on potentially outdated valuation methodologies and preference data from samples that no longer represent the contemporary population. Having a clear strategy for identification and mitigation of obsolescence is important to ensure policy makers retain confidence in their country-specific value sets. In this Current Opinion, we develop a taxonomy of value set obsolescence. We then explore how the different types of obsolescence might be identified and how methodologists might work with local policymakers to address obsolescence and therefore ensure HRQoL instruments remain relevant for use. The taxonomy of obsolescence consists of four main areas: (1) the value set no longer aligns with current normative health technology assessment (HTA) requirements; (2) the methods used to generate it are no longer considered robust or adequately close to best practice; (3) the population composition has moved too far from the characteristics of the sample in which the original value set was derived; and (4) even after controlling for population differences, preferences are likely to have changed since the original data collection. Through identification of the type of obsolescence that applies in a particular setting, we then suggest a range of possible solutions to each, ranging from recommending particular sensitivity analyses, through reweighting of existing data to better account for population differences, to collecting new data for an updated value set. Obsolescence of existing value sets is driven by more than just time since data collection is often a matter of judgment rather than based on a clear definition. The taxonomy presented here provides a tool for assessing whether value sets are obsolete and what the appropriate response to this obsolescence should be. Working closely with local policymakers and involving discussions regarding the ongoing appropriateness of existing value sets should form an important part of future activities. This should include the consideration of updating value sets in contemporary populations using current best-practice methods. However, the benefits of updating value sets have to be balanced against the cost of doing so, including the challenges faced by policymakers when new values sets require a transition to new local decision-making processes.

In 2024, the National Institute for Health and Care Excellence (NICE) recommended two new health technologies for paroxysmal nocturnal haemoglobinuria. This review systematically compares the clinical and cost-effectiveness evidence considered within the NICE single technology appraisals of iptacopan, danicopan and pegcetacoplan, examines the consistency of the clinical evidence and economic modelling, and considers whether single technology appraisals are a suitable apparatus for consistent decision making. The studies used different follow-up lengths and used different definitions for reporting breakthrough haemolysis (BTH), but otherwise reported similar outcomes and found a significant benefit for their interventions. A lack of direct evidence and unreliable indirect comparisons meant that naïve comparisons across trials were carried into the economic modelling despite differences in their control arms. Approaches to modelling BTH and associated dose escalation differed across appraisals, despite information for pegcetacoplan coming from the same source in each appraisal, which had a large impact on the economic results. This review raises the question of whether NICE should implement multiple technology appraisals more frequently to reduce these inconsistences. Additionally, we recommend the development of a framework for revisiting positive recommendations when the implementation of health technologies deviates from assumptions made in the economic modelling to ensure cost-effective healthcare is preserved.

Background: Cost-effectiveness analysis (CEA) of biomarkers is challenging due to the indirect impact on health outcomes and the lack of sufficient fit-for-purpose data. Hands-on guidance is lacking.

Objective: We aimed firstly to explore how CEAs in the context of three different types of biomarker applications have addressed these challenges, and secondly to develop recommendations for future CEAs.

Methods: A scoping review was performed for three biomarker applications: predictive, prognostic, and serial testing, in advanced non-small cell lung cancer, early-stage colorectal cancer, and all-stage colorectal cancer, respectively. Information was extracted on the model assumptions and uncertainty, and the reported outcomes. An in-depth analysis of the literature was performed describing the impact of model assumptions in the included studies.

Results: A total of 43 CEAs were included (31 predictive, 6 prognostic, and 6 serial testing). Of these, 40 utilized different sources for test and treatment parameters, and three studies utilized a single source. Test performance was included in 78% of these studies utilizing different sources, but this parameter was differently expressed across biomarker applications. Sensitivity analyses for test performance was only performed in half of these studies. For the linkage of test results to treatments outcomes, a minority of the studies explored the impact of suboptimal adherence to test results, and/or explored potential differences in treatment effects for different biomarker subgroups. Intermediate outcomes were reported by 67% of studies.

Conclusions: We identified various approaches for dealing with challenges in CEAs of biomarker tests for three different biomarker applications. Recommendations on assumptions, handling uncertainty, and reported outcomes were drafted to enhance modeling practices for future biomarker cost-effectiveness evaluations.

Background and objectives: 'Caregiver health spillovers' refer to the broader impacts of an individual's illness and interventions on informal caregivers' health and well-being. This study focuses on the spillover effects experienced by parental carers of children with coronavirus disease 2019 (COVID-19), aiming to compare the psychometric properties of the EQ-5D-5L and the experimental EQ Health and Wellbeing Short version (EQ-HWB-S) in capturing these effects.

Methods: A longitudinal study was conducted with 861 parental carers of children aged 0-18 years with COVID-19 and 231 parents of healthy children as the control group. The EQ-5D-5L and EQ-HWB-S were used to assess parental health and well-being. Analyses included known-groups validity (multivariable regression), test-retest reliability (Gwet's AC1, intraclass correlation coefficient) and responsiveness to health improvement (Glass' Δ effect size).

Results: Parents of infected children reported more problems than those of healthy controls. The EQ-HWB-S better discriminated between sub-groups defined by the child's COVID-19 presence, caring time and work impact. Test-retest reliability was fair to good for EQ-HWB-S dimensions (Gwet's AC1: 0.33-0.79), moderate to good for EQ-5D-5L (Gwet's AC1: 0.40-0.76), and good for index scores and EQ VAS (intraclass correlation coefficient: 0.70-0.77). Parental health and well-being improved as children recovered, with the EQ-5D-5L showing slightly higher responsiveness (effect size: 0.77-0.87) than EQ-HWB-S (effect size: 0.62-0.74).

Conclusions: Both EQ-HWB-S and EQ-5D-5L are valid, reliable and responsive for measuring parental spillover effects related to a child's COVID-19 infection. EQ-HWB-S outperformed in distinguishing social and emotional impacts of caregiving, while EQ-5D-5L better captured physical health improvements. The choice between tools may depend on study objectives.

Background: A key challenge in value assessment is how to summarize effectiveness, particularly the impact of interventions on patient health-related quality of life (HRQoL). One approach is to quantify the gains in HRQoL and life expectancy together as quality-adjusted life years (QALYs); however, this approach has faced various criticisms regarding its potential discriminatory aspects toward persons with disabilities, older adults, and the most vulnerable individuals in society.

Methods: Instead of QALYs, we provide an alternative approach that summarizes HRQoL gains from the perspective of its stakeholders (e.g., patients, parents, and caregivers) using an "experience" scale. On an experience scale, a positive value signifies an experience better than having no experience at all, while a negative value indicates an experience worse than having no experience. To illustrate the merits of this approach, we examine US preferences on the relief of child health problems, namely a discrete choice experiment (DCE) with kaizen tasks and alternatives described using the EQ-5D-Y-3L.

Results: Using this approach, we demonstrate the differences in perspectives between parents (N = 179), mothers (N = 99), and fathers (N = 80) of children younger than 18 years of age, as well as the feasibility of this patient-centered approach using a brief DCE survey of less than 100 respondents each (and without QALYs). Specifically, we found that mothers place a higher value on the child's feelings than fathers. The results also suggest other differences between the perspectives of mothers and fathers, but these differences were not statistically significant (p-values < .05).

Conclusions: We put forth that future value assessments may summarize gains in HRQoL on a patient experience scale (i.e., experience scale from the patient perspective) to inform decision-making.

Background: Multiple sclerosis (MS) is a chronic autoimmune/neurodegenerative disease associated with progressing disability affecting mostly women. We aim to estimate transition probabilities describing MS-related disability progression from no disability to severe disability. Transition probabilities are a vital input for health economics models. In MS, this is particularly relevant for pharmaceutical agency reimbursement decisions for disease-modifying therapies (DMTs).

Methods: Data were obtained from Australian participants of the MSBase registry. We used a four-state continuous-time Markov model to describe how people with MS transition between disability milestones defined by the Expanded Disability Status Scale (scale 0-10): no disability (EDSS of 0.0), mild (EDSS of 1.0-3.5), moderate (EDSS of 4.0-6.0), and severe (EDSS of 6.5-9.5). Model covariates included sex, DMT usage, MS-phenotype, and disease duration, and analysis of covariate groups were also conducted. All data were recorded by the treating neurologist.

Results: A total of N = 6369 participants (mean age 42.5 years, 75.00% female) with 38,837 person-years of follow-up and 54,570 clinical reviews were identified for the study. Annual transition probabilities included: remaining in the no, mild, moderate, and severe states (54.24%, 82.02%, 69.86%, 77.83% respectively) and transitioning from no to mild (42.31%), mild to moderate (11.38%), and moderate to severe (9.41%). Secondary-progressive MS was associated with a 150.9% increase in the hazard of disability progression versus relapsing-remitting MS.

Conclusions: People with MS have an approximately 45% probability of transitioning from the no disability state after one year, with people with progressive MS transitioning from this health state at a much higher rate. These transition probabilities will be applied in a publicly available health economics simulation model for Australia and similar populations, intended to support reimbursement of a plethora of existing and upcoming interventions including medications to reduce progression of MS.

Aim: This study sought to quantify the healthcare costs of multivessel disease (MVD) and determine the prevalence and incidence of recurrent major adverse cardiovascular events (MACE) in high-risk patients diagnosed with MVD following an acute myocardial infarction (MI).

Methods: This retrospective study utilized German claims data (AOK PLUS), between 01/01/2010 and 31/12/2020. Patients were included if they (1) had an inpatient diagnosis of an MI between 01/01/2012 and 31/12/2019 (index date), (2) were ≥ 18 years of age at date of MI diagnosis, and (3) had diabetes or met two of the following criteria: ≥ 65 years old, prior MI, peripheral arterial disease. MACE was defined as (1) MI, (2) stroke, or (3) death with a cardiovascular diagnosis within 30 days prior. To measure the burden of MVD, patients were identified during the index hospitalization by presence of MVD. Healthcare resource use and costs were compared after adjustment based on propensity score matching (PSM).

Results: A total of 5158 patients with evidence for MVD were included in the main analysis. 31.17% experienced a MACE within 365 days following the incident MI. After PSM adjustment, 33.22% of the MVD cohort experienced a MACE versus 36.48% of non-MVD patients. MVD patients had a higher rate of recurrent MI (14.22% vs. 9.81%). Additionally, public healthcare costs were about €4 million higher in the total MVD cohort than in the non-MVD cohort in the first year after an MI (€47,896,012.32 vs. €43,718,713.75, respectively), reflecting the MVD cohort's higher use of the public healthcare system. More MVD patients were prescribed guideline-recommended medication (61.4% vs. 46.0%).

Conclusion: This study found that presence of MVD contributed to higher rates of recurrent MI. Patients with MVD experienced higher rates of recurrent MI despite a higher proportion of patients receiving guideline-directed medication therapy compared to non-MVD patients. Conversely, there was a higher mortality rate observed in the non-MVD cohort.

Background: The advancement of diagnostic and therapeutic interventions in early Alzheimer's disease (AD) has demanded the economic evaluation of such interventions. Resource utilization and cost estimates in early AD and, more specifically, the amyloid-positive population are still lacking. We aimed to provide cost estimates in AD in relation to disease severity and compare these with the control population. We also aimed to provide cost estimates for a subset of the AD population with both clinical diagnosis and amyloid-positive confirmation.

Materials and methods: This was a retrospective longitudinal analysis of resource utilization using data from national registries. A cohort from the national Swedish registry for cognitive/dementia disorders (SveDem) includes all clinically diagnosed AD between 2013 and 2020. The study population included 31,951 people with AD and 63,902 age- and sex-matched controls (1:2). The population was followed until death, the end of December 2020, or 2 years from the last clinic visit. Direct medical and social costs were estimated from other national registries. Direct medical costs include costs for medications and inpatient and outpatient clinical visits. Direct social costs include costs for institutionalization, home care, short-term care, support for daytime activities, and housing support. Mean annual costs and 95% confidence intervals were obtained by bootstrapping, presented in 2021 Swedish Krona (SEK) (1 SEK = 0.117 USD, 1 SEK = 0.0985 EUR in 2021), and disaggregated by AD severity, cost component, sex, age group, and care setting.

Results: Mean annual costs for individuals with clinically diagnosed AD were SEK 99,906, SEK 290,972, SEK 479,524, and SEK 795,617 in mild cognitive impairment (MCI), mild, moderate, and severe AD. The mean annual costs for the population with both clinical diagnosis and amyloid-positive AD confirmation (N = 5610) were SEK 57,625, SEK 179,153, SEK 333,095, and SEK 668,073 in MCI, mild, moderate, and severe AD, respectively. The mean annual costs were higher in institutionalized than non-institutionalized patients, females than males, and older than younger age groups. Inpatient and drug costs were similar in all AD severity stages, but outpatient costs decreased with AD severity. Costs for institutionalization, home care, support for daytime activities, and short-term care increased with AD severity, whereas the cost of housing support decreased with AD severity.

Conclusions: This is the first study estimating annual costs in people with AD from MCI to severe AD, including those for the amyloid-positive population. The study provides cost estimates by AD severity, cost components, care settings, sex, and age groups, allowing health economic modelers to apply the costs based on different model structures and populations.