RESUMO
The provision of informal (unpaid) care can impose significant 'spillover effects' on carers, and accounting for these effects is consistent with the efficiency and equity objectives of health technology assessment (HTA). Inclusion of these effects in health economic models, particularly carer health-related quality of life (QOL), can have a substantial impact on net quality-adjusted life year (QALY) gains and the relative cost effectiveness of new technologies. Typically, consideration of spillover effects improves the value of a technology, but in some circumstances, consideration of spillover effects can lead to situations whereby life-extending treatments for patients may be considered cost ineffective due to their impact on carer QOL. In this piece we revisit the classic 'QALY trap' and introduce an analogous 'carer QALY trap' which may have practical implications for economic evaluations where the inclusion of carer QOL reduces incremental QALY gains. Such results may align with a strict QALY-maximisation rule, however we consider the extent to which this principle may be at odds with the preferences of carers themselves (and possibly society more broadly), potentially leading decision makers into the carer QALY trap as a result. We subsequently reflect on potential solutions, highlighting the important (albeit limited) role that deliberation has to play in HTA.
Assuntos
Cuidadores , Qualidade de Vida , Humanos , Anos de Vida Ajustados por Qualidade de Vida , Modelos Econômicos , Análise Custo-BenefícioRESUMO
Hospitals in England experience extremely high levels of bed occupancy in the winter. In these circumstances, vaccine-preventable hospitalisations due to seasonal respiratory infections have a high cost because of the missed opportunity to treat other patients on the waiting list. This paper estimates the number of hospitalisations that current vaccines against influenza, pneumococcal disease (PD), COVID-19, and a hypothetical Respiratory Syncytial Virus (RSV) vaccine, could prevent in the winter among older adults in England. Their costs were quantified using a conventional reference costing method and a novel opportunity costing approach considering the net monetary benefit (NMB) obtained from alternative uses of the hospital beds freed-up by vaccines. The influenza, PD and RSV vaccines could collectively prevent 72,813 bed days and save over £45 million in hospitalisation costs. The COVID-19 vaccine could prevent over 2 million bed days and save £1.3 billion. However, the value of hospital beds freed up by vaccination is likely to be 1.1-2 times larger (£48-93 million for flu, PD and RSV; £1.4-2.8 billion for COVID-19) when quantified in opportunity cost terms. Considering opportunity costs is key to ensuring maximum value is obtained from preventative budgets, as reference costing may significantly underestimate the true value of vaccines.
RESUMO
OBJECTIVES: In situations of excess demand for healthcare, treating one patient means losing the opportunity to treat another. Therefore, each decision bears an opportunity cost. Nevertheless, when assessing the value of health technologies, these opportunity costs are not always fully considered. We present a pragmatic approach for conceptualizing vaccines' health system capacity value when considering opportunity costs. METHODS: Our approach proxies opportunity costs through the net monetary benefit forgone as scarce healthcare resources are used to treat a vaccine-preventable disease instead of a patient from the waiting list. We apply this approach to cost the resource "hospital beds" for 3 different scenarios of excess demand. Empirically, we estimate the opportunity costs saved for 4 selected vaccination programs from the national schedule in England during a hypothetical scenario of long-lasting excess demand induced by the pandemic. RESULTS: The opportunity cost avoided through vaccination rises with excess demand for treatment. When treating an acute vaccine-preventable outcome is a suboptimal choice compared with treating elective patients, preventing a vaccine-preventable disease from blocking a hospital bed generates opportunity cost savings of approximately twice the direct costs saved by avoiding vaccine-preventable hospitalizations. CONCLUSIONS: Policy makers should be aware that, in addition to preventing the outcome of interest, vaccines and other preventative health technologies deliver value in maintaining regular healthcare services and clearing the pent-up demand from the pandemic. Therefore, health system capacity value should be a key-value element in health technology assessment. Existing and potential future vaccination programs deliver more value than hitherto quantified.
Assuntos
Doenças Preveníveis por Vacina , Vacinas , Humanos , Vacinação , Custos e Análise de Custo , Inglaterra , Análise Custo-BenefícioRESUMO
The objectives of this research were to produce a macro-level overview of the global COVID-19 burden and estimate the value of access to COVID-19 vaccines. A targeted literature review collated evidence of the burden. Linear modelling and data analysis estimated the health and economic effects of COVID-19 vaccines delivered in 2021, and whether additional value could have been achieved with broader and more equitable access. By 1 December 2020, there had been an estimated 17 million excess deaths due to COVID-19. Low-income countries allocated more than 30% of their healthcare budgets to COVID-19, compared to 8% in high-income countries. All country income groups experienced gross domestic product (GDP) growth lower than predicted in 2020. If all 92 countries eligible for COVAX Advance Market Committee (AMC), access had reached 40% vaccination coverage in 2021, 120% more excess deaths would have been averted, equivalent to USD 5 billion (109) in savings to healthcare systems. Every USD spent by advanced economies on vaccinations for less advanced economies averted USD 28 of economic losses in advanced economies and USD 29 in less advanced economies. The cost to high-income countries when not all countries are vaccinated far outweighs the cost of manufacturing and distributing vaccines globally.