Value based healthcare and Health Technology Assessment for emerging market countries: joint efforts to overcome barriers.

INTRODUCTION: This paper summarizes the results from a forum of healthcare experts, academia representatives, and public agency officials from emerging and established market countries on Value-Based Healthcare (VBHC) and Health Technology Assessment (HTA). Presentations from experts provided insights into current developments and challenges, followed by interactive roundtable discussions. Emerging markets have unique healthcare systems, patient populations, resource constraints and needs. AREAS COVERED: Each roundtable explored specific topics including the role of HTA and Real-world evidence (RWE) in healthcare decision-making, challenges in biosimilar value assessment and incorporating non-price criteria reflecting context-related specifications of emerging markets such as the multifaceted nature of value in healthcare decision-making, emphasizing stakeholder perspectives and system complexities. EXPERT OPINION: RWE emerged as important in understanding biosimilar value recognition and decision-making processes, with insights into its applications and challenges. Recommendations were provided for utilizing Multi-Criteria Decision Analysis (MCDA) in pharmaceutical procurement, particularly for off-patent medicines, underscoring the importance of comprehensive evaluation frameworks and adherence to value-based principles. Overall findings suggest avenues for collaboration between industry, academia, and public agencies to address implementation barriers and promote equitable, efficient, and high-quality healthcare systems in emerging markets through public-private partnerships, joint capacity building and training initiatives, and knowledge transfers.

Synthesis of relevant information around non-core domains to support Multi-Criteria Decision Analysis (MCDA) for decision making.

Countries fundamentally base macro and micro decision making in the field of health on economic considerations, the budgetary impact of technologies being a major criterion. Nevertheless, the value of the technology of interest and its dimensions are more complex if we seek to take decisions based on the value itself. The use of structured and explicit approaches that require the assessment of multiple criteria that reflect the dimensions of this value may significantly improve the quality of the decision making. Multi-criteria decision analysis (MCDA) is a complementary decision-making tool that is able to systematically incorporate dimensions or domains such as ethical, organisational, legal, environmental and social considerations, as well as costs and benefits of medical interventions, together with the distinct perspectives of the interested parties. The objective of this article is to propose the implementation of analysis of non-core domains, in reports of Health Technology Assessment (HTA) agencies/units. To assess the scientific evidence on MCDA techniques a systematic review was conducted using structured searches in biomedical databases and websites of various HTA organisations. A consensus group was held using the nominal group technique and involving users of healthcare services, providers, managers and academics. Complementary, a survey was sent to HTA agencies to ascertain the degree of implementation of MCDA in their methods. 42 articles reporting the use of non-core criteria for the assessment of health technologies were included in the analysis. From these articles, a total of 216 non-core criteria were retrieved and categorised into domains by the researchers, and of these, 56 were classified as socioeconomic, 59 as organisational, 10 as legal, 8 as environmental and 47 as ethical, while 36 were considered to relate to other domains. The consensus group, based on the 216 non-core criteria obtained from the systematic review, proposed, and defined 26 criteria that participants considered necessary for decision making in healthcare. The consensus group did not consider that any of the domains should be given more weight than others or that any individual criteria should dominate. These approaches can serve as a framework of reference for a well-structured systematic discussion concerning the basis of individual criteria and the evidence supporting them.

Criteria to define innovation in the field of medical devices: a Delphi approach.

Defining innovation in the field of medical devices can be extremely challenging due to the peculiarity of the products within this class. Short life-cycle, incrementality, learning curve effect, impact of the organizational setting, uncertainty of effect and level of evidence are only some of these aspects. A clear set of criteria to define innovation would be of paramount relevance in this field. Twelve criteria to define innovation were proposed to a multistakeholder panel within a consensus process. A Delphi method on two rounds was used to reach consensus. In total, 53 of the 93 (47%) invited panelists responded to the first round of the survey. Among them, 51 (96%) completed also the second round. At the first round, consensus was reached for four of the 12 proposed criteria. Three of the remaining eight criteria reached consensus at the second round. It was not possible to reach consensus for the remaining five criteria. The criteria that collected the highest scores (close to 100%) were from the clinical impact domain, namely the ability of the technology to offer significant advantages over existing alternatives in terms of improving relevant clinical outcomes, and the ability to address an unmet need defined in terms of unavailability of diagnosis/treatment alternatives. High levels of consensus (about 80%) were registered on criteria belonging to non-clinical domains of analysis and, in particular, the ability of the technology to introduce organizational benefits, and the ability of the technology to bring cost reduction providing the same clinical benefit of current alternatives.

Recommendations for patient involvement in health technology assessment in Central and Eastern European countries.

Introduction: Meaningful patient involvement in health technology assessment (HTA) is essential in ensuring that the interests of the affected patient population, their families, and the general public are accurately reflected in coverage and reimbursement decisions. Central and Eastern European (CEE) countries are generally at less advanced stages of implementing HTA, which is particularly true for patient involvement activities. As part of the Horizon2020 HTx project, this research aimed to form recommendations for critical barriers to patient involvement in HTA in CEE countries. Methods: Built on previous research findings on potential barriers, a prioritisation survey was conducted online with CEE stakeholders. Recommendations for prioritised barriers were formed through a face-to-face workshop by CEE stakeholders and HTx experts. Results: A total of 105 stakeholders from 13 CEE countries completed the prioritisation survey and identified 12 of the 22 potential barriers as highly important. The workshop had 36 participants representing 9 CEE countries, and 5 Western European countries coming together to discuss solutions in order to form recommendations based on best practices, real-life experience, and transferability aspects. Stakeholder groups involved in both phases included HTA organisation representatives, payers, patients, caregivers, patient organisation representatives, patient experts, health care providers, academic and non-academic researchers, health care consultants and health technology manufacturers/providers. As a result, 12 recommendations were formed specified to the CEE region's context, but potentially useful for a broader geographic audience. Conclusion: In this paper, we present 12 recommendations for meaningful, systematic, and sustainable patient involvement in HTA in CEE countries. Our hope is that engaging more than a hundred CEE stakeholders in the study helped to spread awareness of the importance and potential of patient involvement and that the resulting recommendations provide tangible steps for the way forward. Future studies shall focus on country-specific case studies of the implemented recommendations.

Uncertainty management in regulatory and health technology assessment decision-making on drugs: guidance of the HTAi-DIA Working Group.

OBJECTIVES: Uncertainty is a fundamental component of decision making regarding access to and pricing and reimbursement of drugs. The context-specific interpretation and mitigation of uncertainty remain major challenges for decision makers. Following the 2021 HTAi Global Policy Forum, a cross-sectoral, interdisciplinary HTAi-DIA Working Group (WG) was initiated to develop guidance to support stakeholder deliberation on the systematic identification and mitigation of uncertainties in the regulatory-HTA interface. METHODS: Six online discussions among WG members (Dec 2021-Sep 2022) who examined the output of a scoping review, two literature-based case studies and a survey; application of the initial guidance to a real-world case study; and two international conference panel discussions. RESULTS: The WG identified key concepts, clustered into twelve building blocks that were collectively perceived to define uncertainty: "unavailable," "inaccurate," "conflicting," "not understandable," "random variation," "information," "prediction," "impact," "risk," "relevance," "context," and "judgment." These were converted into a checklist to explain and define whether any issue constitutes a decision-relevant uncertainty. A taxonomy of domains in which uncertainty may exist within the regulatory-HTA interface was developed to facilitate categorization. The real-world case study was used to demonstrate how the guidance may facilitate deliberation between stakeholders and where additional guidance development may be needed. CONCLUSIONS: The systematic approach taken for the identification of uncertainties in this guidance has the potential to facilitate understanding of uncertainty and its management across different stakeholders involved in drug development and evaluation. This can improve consistency and transparency throughout decision processes. To further support uncertainty management, linkage to suitable mitigation strategies is necessary.

Recommendations to overcome barriers to the use of artificial intelligence-driven evidence in health technology assessment.

Background: Artificial intelligence (AI) has attracted much attention because of its enormous potential in healthcare, but uptake has been slow. There are substantial barriers that challenge health technology assessment (HTA) professionals to use AI-generated evidence for decision-making from large real-world databases (e.g., based on claims data). As part of the European Commission-funded HTx H2020 (Next Generation Health Technology Assessment) project, we aimed to put forward recommendations to support healthcare decision-makers in integrating AI into the HTA processes. The barriers, addressed by the paper, are particularly focusing on Central and Eastern European (CEE) countries, where the implementation of HTA and access to health databases lag behind Western European countries. Methods: We constructed a survey to rank the barriers to using AI for HTA purposes, completed by respondents from CEE jurisdictions with expertise in HTA. Using the results, two members of the HTx consortium from CEE developed recommendations on the most critical barriers. Then these recommendations were discussed in a workshop by a wider group of experts, including HTA and reimbursement decision-makers from both CEE countries and Western European countries, and summarized in a consensus report. Results: Recommendations have been developed to address the top 15 barriers in areas of (1) human factor-related barriers, focusing on educating HTA doers and users, establishing collaborations and best practice sharing; (2) regulatory and policy-related barriers, proposing increasing awareness and political commitment and improving the management of sensitive information for AI use; (3) data-related barriers, suggesting enhancing standardization and collaboration with data networks, managing missing and unstructured data, using analytical and statistical approaches to address bias, using quality assessment tools and quality standards, improving reporting, and developing better conditions for the use of data; and (4) technological barriers, suggesting sustainable development of AI infrastructure. Conclusion: In the field of HTA, the great potential of AI to support evidence generation and evaluation has not yet been sufficiently explored and realized. Raising awareness of the intended and unintended consequences of AI-based methods and encouraging political commitment from policymakers is necessary to upgrade the regulatory and infrastructural environment and knowledge base required to integrate AI into HTA-based decision-making processes better.

A systematic review of the early dialogue frameworks used within health technology assessment and their actual adoption from HTA agencies.

Introduction: Early advice in the process of developing health technologies allows manufacturers to plan their production and transfer to health care systems more accurately. This review aims to describe frameworks used within HTA and their current use by HTA Agencies. Material and methods: We carried out a systematic literature review in Pubmed, Embase, Scopus, and WoS, including all references published in Spanish and English. This was last updated in March 2022. We extracted all available information regarding the organizations involved, services offered, types of technology, collaborators involved, fees, output and impact. Websites of several HTA organizations and Google were also searched in order to update and complete the information obtained from this generic search. Results: Five-hundred and forty one articles were identified and screened, of which 26 met the eligibility criteria and were selected. Seven of them were non-systematic reviews that described two or more HTA organizations. Ten studies were focused on the advice offered by individual organizations, and eight described the EMA and EUnetHTA parallel or joint advice. We found variations in the technology assessed, services offered, stage of development and costs for advisory services. Conclusions: Early and scientific advice would help manufacturers focus their product development on what is needed for the management of specific diseases. Most of the examples or services found refer to drugs as well as to some medical devices and diagnostics. A common definition of the type of advice that could be offered for different health technologies by HTA bodies to ascertain health care systems and manufacturers' needs, in addition to the timeline in which that advice needs to be given, would help HTA bodies provide the right support at the right time. Systematic review registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020219401, PROSPERO CRD42020219401.

The time is now: Achieving FH paediatric screening across Europe - The Prague Declaration.

Familial hypercholesterolaemia (FH) is the most common inherited metabolic disorder characterized by high cholesterol and if left untreated leads to premature cardiovascular disease, such as heart attacks. Treatment that begins early in life, particularly in childhood, is highly efficacious in preventing cardiovascular disease and cost-effective, thus early detection of FH is crucial. However, in Europe, less than 10% of people living with FH are diagnosed and even less receive life-saving treatment. The Prague Declaration is a call to action for national and European Union policymakers and decision-makers and a result of the Czech EU Presidency meeting on FH Paediatric Screening (early detection of inherited high cholesterol) at the Czech Senate in Prague on 6th September 2022. It builds on a considerable body of evidence which was discussed at the Technical Meeting under the auspices of the Slovenian EU Presidency in October 2021. The Prague meeting addressed the outstanding barriers to the systematic implementation of FH paediatric screening across Europe. In this article, we present the key points from the Prague meeting and concrete actions needed to move forward.

Paediatric familial hypercholesterolaemia screening in Europe: public policy background and recommendations.

Familial hypercholesterolaemia (FH) is under-recognized and under-treated in Europe leading to significantly higher risk for premature heart disease in those affected. As treatment beginning early in life is highly effective in preventing heart disease and cost-effective in these patients, screening for FH is crucial. It has therefore now been recognized by the European Commission Public Health Best Practice Portal as an effective strategy. Model programmes exist in Europe to identify young individuals with FH, which are based on cascade screening of first-degree relatives of affected individuals, universal screening for high cholesterol, opportunistic screening of high-risk individuals, or a combination of the above approaches. Recommendations presented herein to improve identification of FH emphasize that every country should have an FH screening programme. These programmes should be adapted from existing strategies to best fit the individual country's healthcare system, governments should provide financial support for these programmes and related care, and further research to optimize care and implementations should be conducted.

Integrating Empirical Analysis and Normative Inquiry in Health Technology Assessment: The Values in Doing Assessments of Health Technologies Approach.

Health technology assessment (HTA) aims, through empirical analysis, to shed light on the value of health technologies (O'Rourke et al. [2020, International Journal of Technology Assessment in Health Care 36, 187-90]). HTA is, then, where facts and values meet. But how, where, and when do facts and values meet in HTA? Currently, HTA is usually portrayed as a sequential process, starting with empirical analysis (assessment), followed by a deliberation on the implications of the findings for a judgment of a health technology's value (appraisal). In this paper, we will argue that in HTA, empirical analysis and normative inquiry are much more closely entwined. In fact, as we hope to show, normative commitments act as an indispensable guide for the collection and interpretation of empirical evidence. Drawing on policy sciences, we will suggest a concrete methodology that can help HTA practitioners to integrate empirical analysis and normative inquiry in a transparent way. The proposed methodology can be conceived as a concrete means for conducting a scoping exercise in HTA. Moreover, it offers a distinct way of giving stakeholders a structural and constructive role in HTA. This paper outlines the approach developed by the values in doing assessments of health technologies project, a project funded by the Erasmus+ program (contract number 2018-1-NL01-KA203-038960), which is the European Union's program to support education, training, youth, and sport in Europe. The project has resulted in an E-learning course, an accompanying handbook, and a consensus statement, all freely available from the project's website www.validatehta.eu.