Should We Consider Including a Value for "Hope" as an Additional Benefit Within Health Technology Assessment?

Exploring the feasibility of using the ICER Evidence Rating Matrix for Comparative Clinical Effectiveness in assessing treatment benefit and certainty in the clinical evidence on orphan therapies for paediatric indications

BACKGROUND

The evaluation of clinical evidence takes account of health benefit (efficacy and safety) and the degree of certainty in the estimate of benefit. In orphan indications practical and ethical challenges in conducting clinical trials, particularly in paediatric patients, often limit the available evidence, rendering structured evaluation challenging. While acknowledging the paucity of evidence, regulators and reimbursement authorities compare the efficacy and safety of alternative treatments for a given indication, often in the context of the benefits of other treatments for similar or different conditions. This study explores the feasibility of using the Institute for Clinical and Economic Review (ICER) Evidence Rating Matrix for Comparative Clinical Effectiveness in structured assessment of both the magnitude of clinical benefit (net health benefit, NHB) and the certainty of the effect estimate in a sample of orphan therapies for paediatric indications.

RESULTS

Eleven systemic therapies with European Medicines Agency (EMA) orphan medicinal product designation, licensed for 16 paediatric indications between January 2017 and March 2020 were identified using OrphaNet and EMA databases and were selected for evaluation with the ICER Evidence Rating Matrix: burosumab; cannabidiol; cerliponase alfa; chenodeoxycholic acid (CDCA); dinutuximab beta; glibenclamide; metreleptin; nusinersen; tisagenlecleucel; velmanase alfa; and vestronidase alfa. EMA European Public Assessment Reports, PubMed, EMBASE, the Cochrane Library, Clinical Key, and conference presentations from January 2016 to April 2021 were searched for evidence on efficacy and safety. Two of the identified therapies were graded as "substantial" NHB: dinutuximab beta (neuroblastoma maintenance) and nusinersen (Type I SMA), and one as "comparable" NHB (CDCA). The NHB grade of the remaining therapies fell between "comparable" and "substantial". No therapies were graded as having negative NHB. The certainty of the estimate ranged from "high" (dinutuximab beta in neuroblastoma maintenance) to "low" (CDCA, metreleptin and vestronidase alfa). The certainty of the other therapies was graded between "low" and "high". The ICER Evidence Rating Matrix overall rating "A" (the highest) was given to two therapies, "B+" to 6 therapies, "C+" to five therapies, and "I" (the lowest) to three therapies. The scores varied between rating authors with mean agreement over all indications of 71.9% for NHB, 56.3% for certainty and 68.8% for the overall rating.

CONCLUSIONS

Using the ICER Matrix to grade orphan therapies according to their treatment benefit and certainty is feasible. However, the assessment involves subjective judgements based on heterogenous evidence. Tools such as the ICER Matrix might aid decision makers to evaluate treatment benefit and its certainty when comparing therapies across indications.

Reconstructing the value puzzle in health technology assessment: a pragmatic review to determine which modelling methods can account for additional value elements

Health technology assessment (HTA) has traditionally relied on cost-effectiveness analysis (CEA) as a cornerstone of evaluation of new therapies, assessing the clinical validity and utility, the efficacy, and the cost-effectiveness of new interventions. The current format of cost-effectiveness analysis, however, does not allow for inclusion of more holistic aspects of health and, therefore, value elements for new technologies such as the impact on patients and society beyond its pure clinical and economic value. This study aimed to review the recent modelling attempts to expand the traditional cost-effectiveness analysis approach by incorporating additional elements of value in health technology assessment. A pragmatic literature review was conducted for articles published between 2012 and 2022 reporting cost-effectiveness analysis including value aspects beyond the clinical and cost-effectiveness estimates; searches identified 13 articles that were eligible for inclusion. These expanded modelling approaches mainly focused on integrating the impact of societal values and health equity in cost-effectiveness analysis, both of which were championed as important aspects of health technology assessment that should be incorporated into future technology assessments. The reviewed cost-effectiveness analysis methods included modification of the current cost-effectiveness analysis methodology (distributional cost-effectiveness analysis, augmented cost-effectiveness analysis, extended cost-effectiveness analysis) or the use of multi-criteria decision analysis. Of these approaches, augmented cost-effectiveness analysis appears to have the most potential by expanding traditional aspects of value, as it uses techniques already familiar to health technology assessment agencies but also allows space for incorporation of qualitative aspects of a product's value. This review showcases that methods to unravel additional value elements for technology assessment exist, therefore, patient access to promising technologies can be improved by moving the discussion from "if" to "how" additional value elements can inform decision-making.

Incorporating risk preferences of patients in the valuation of immune checkpoint inhibitors for non-small cell lung cancer

Immunotherapy offers a distinctive mechanism of action compared to traditional treatments, arising from additional value dimensions that may not be captured in standard health technology assessments. Cancer patients may have the expectation that immunotherapy provides durable, long-term survival gains. Moreover, some patients may be willing to take a 'risk' to undergo immunotherapy to achieve better survival outcomes. We reviewed quantitative methods that explored patients' risk preferences in their non-small cell lung cancer (NSCLC) treatment choices, in PubMed (MEDLINE), from January 1, 2015, until July 1, 2022. The consideration of a value dimension ('hope') based on patients' risk-seeking preferences is specifically addressed for the valuation of immune checkpoint inhibitors in NSCLC. We reported that the quantitative methods that aim to measure patients' risk preferences or 'hope' empirically are emerging. Value assessments should not only comprise survival improvements for the mean or median patient but also consider methods that reflect durable, long-term overall survival gains for risk-seeking patients. However, the published evidence for incorporating 'hope' based on patients' stated preferences for uncertain treatment profiles is not strong, and future research could strengthen this evidence base. We encourage further research on the development and validation of quantification methods to incorporate 'hope' and risk preferences of patients treated with immunotherapy for NSCLC and beyond.