Navigating the path towards successful implementation of the EU HTA Regulation: key takeaways from the 2023 Spring Convention of the European Access Academy.

BACKGROUND: The European Regulation on Health Technology Assessment (EU HTA R), effective since January 2022, aims to harmonize and improve the efficiency of common HTA across Member States (MS), with a phased implementation from January 2025. At "midterms" of the preparation phase for the implementation of the Regulation our aim was to identify and prioritize tangible action points to move forward. METHODS: During the 2023 Spring Convention of the European Access Academy (EAA), participants from different nationalities and stakeholder backgrounds discussed readiness and remaining challenges for the Regulation's implementation and identified and prioritized action points. For this purpose, participants were assigned to four working groups: (i) Health Policy Challenges, (ii) Stakeholder Readiness, (iii) Approach to Uncertainty and (iv) Challenges regarding Methodology. Top four action points for each working group were identified and subsequently ranked by all participants during the final plenary session. RESULTS: Overall "readiness" for the Regulation was perceived as neutral. Prioritized action points included the following: Health Policy, i.e. assess adjustability of MS laws and health policy processes; Stakeholders, i.e. capacity building; Uncertainty, i.e. implement HTA guidelines as living documents; Methodology, i.e. clarify the Population, Intervention, Comparator(s), Outcomes (PICO) identification process. CONCLUSIONS: At "midterms" of the preparation phase, the focus for the months to come is on executing the tangible action points identified at EAA's Spring Convention. All action points centre around three overarching themes: harmonization and standardization, capacity building and collaboration, uncertainty management and robust data. These themes will ultimately determine the success of the EU HTA R in the long run.

AI as a Medical Device Adverse Event Reporting in Regulatory Databases: Protocol for a Systematic Review.

BACKGROUND: The reporting of adverse events (AEs) relating to medical devices is a long-standing area of concern, with suboptimal reporting due to a range of factors including a failure to recognize the association of AEs with medical devices, lack of knowledge of how to report AEs, and a general culture of nonreporting. The introduction of artificial intelligence as a medical device (AIaMD) requires a robust safety monitoring environment that recognizes both generic risks of a medical device and some of the increasingly recognized risks of AIaMD (such as algorithmic bias). There is an urgent need to understand the limitations of current AE reporting systems and explore potential mechanisms for how AEs could be detected, attributed, and reported with a view to improving the early detection of safety signals. OBJECTIVE: The systematic review outlined in this protocol aims to yield insights into the frequency and severity of AEs while characterizing the events using existing regulatory guidance. METHODS: Publicly accessible AE databases will be searched to identify AE reports for AIaMD. Scoping searches have identified 3 regulatory territories for which public access to AE reports is provided: the United States, the United Kingdom, and Australia. AEs will be included for analysis if an artificial intelligence (AI) medical device is involved. Software as a medical device without AI is not within the scope of this review. Data extraction will be conducted using a data extraction tool designed for this review and will be done independently by AUK and a second reviewer. Descriptive analysis will be conducted to identify the types of AEs being reported, and their frequency, for different types of AIaMD. AEs will be analyzed and characterized according to existing regulatory guidance. RESULTS: Scoping searches are being conducted with screening to begin in April 2024. Data extraction and synthesis will commence in May 2024, with planned completion by August 2024. The review will highlight the types of AEs being reported for different types of AI medical devices and where the gaps are. It is anticipated that there will be particularly low rates of reporting for indirect harms associated with AIaMD. CONCLUSIONS: To our knowledge, this will be the first systematic review of 3 different regulatory sources reporting AEs associated with AIaMD. The review will focus on real-world evidence, which brings certain limitations, compounded by the opacity of regulatory databases generally. The review will outline the characteristics and frequency of AEs reported for AIaMD and help regulators and policy makers to continue developing robust safety monitoring processes. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/48156.

A Health Technology Assessment Based on Chinese Guideline: Active Vitamin D and Its Analogs in the Treatment of Osteoporosis.

Objective: To quantitatively assess all dosage forms of three active vitamin D and its analogs, namely, calcitriol, alfacalcidol, and eldecalcitol, to provide a basis for the selection of active vitamin D and its analogs in hospitals. Methods: In this study, three active vitamin D and its analogs were evaluated by quantitative scoring in five dimensions, including pharmaceutical properties (28 points), efficacy (27 points), safety (25 points), economy (10 points), and other attributes (10 points). Results: The final scores of quantitative assessment for the selection of alfacalcidol soft capsules, calcitriol soft capsules I, calcitriol soft capsules II, alfacalcidol tablets, alfacalcidol capsules, alfacalcidol oral drops, calcitriol injection, and eldecalcitol soft capsules were 73.17, 72.06, 71.52, 71.29, 69.62, 68.86, 65.60, 64.05 points. Conclusion: Based on the scoring results, alfacalcidol soft capsules, calcitriol soft capsules I, calcitriol soft capsules II, alfacalcidol tablets can be entered into the medication list of medical institutions as strongly recommended drugs. This study offers guidance on selecting and using active vitamin D and its analogs in hospitals, with consideration for the patient's needs.

RWE ready for reimbursement? A round up of developments in real-world evidence relating to health technology assessment: part 16.

In this update, we discuss recent US FDA guidance offering more specific guidelines on appropriate study design and analysis to support causal inference for non-interventional studies and the launch of the European Medicines Agency (EMA) and the Heads of Medicines Agencies (HMA) public electronic catalogues. We also highlight an article recommending assessing data quality and suitability prior to protocol finalization and a Journal of the American Medical Association-endorsed framework for using causal language when publishing real-world evidence studies. Finally, we explore the potential of large language models to automate the development of health economic models.

Artificial intelligence-enhanced patient evaluation: bridging art and science.

The advent of digital health and artificial intelligence (AI) has promised to revolutionize clinical care, but real-world patient evaluation has yet to witness transformative changes. As history taking and physical examination continue to rely on long-established practices, a growing pipeline of AI-enhanced digital tools may soon augment the traditional clinical encounter into a data-driven process. This article presents an evidence-backed vision of how promising AI applications may enhance traditional practices, streamlining tedious tasks while elevating diverse data sources, including AI-enabled stethoscopes, cameras, and wearable sensors, to platforms for personalized medicine and efficient care delivery. Through the lens of traditional patient evaluation, we illustrate how digital technologies may soon be interwoven into routine clinical workflows, introducing a novel paradigm of longitudinal monitoring. Finally, we provide a skeptic's view on the practical, ethical, and regulatory challenges that limit the uptake of such technologies.

Key Issues of Economic Evaluations for Health Technology Assessment in China: A Nationwide Expert Survey.

OBJECTIVES: Health technology assessment (HTA) is increasingly crucial in medicine price negotiations in China, yet prior appraisals revealed national discrepancies on key economic evaluation issues: willingness-to-pay (WTP) threshold, pricing models for multi-indication medicines, and comparator selection principles. This study aims to collect expert opinions on these issues for future HTA evaluations. METHODS: A nationwide anonymous web-based survey encompassing experts across academia, HTA, consultancy/contract research organization (CRO)/industry, service provider and payer. In 2023, a generic invitation containing a web link to the questionnaire was disseminated via WeChat using convenience and snowball sampling. Agreement rates for questionnaire views were analyzed using descriptive statistics. The relationship between participants' responses and demographics was examined using appropriate logistic models. RESULTS: 303 responses were received from experts in 34 cities. Key expert views include: a suggested base WTP threshold ranging from 0.5 to 1.5 times GDP (52.1% agreement); elevated thresholds for childhood diseases, rare diseases, end-of-life diseases, and first-in-class medicines (FICs) (>78.0% agreement); a single pricing model for multi-indication medicines (60.4% agreement); consideration of multiple medicines as comparators (79.9% agreement); and avoiding the use of centrally procured medicines as comparators for medicines with a time-to-market under three years (71.0% agreement). Participants who are service provider had lower odds of selecting higher thresholds (OR: 0.26; P<0.01) compared with responders from consultancy/CRO/industry. CONCLUSIONS: Expert views indicate the need for substantial changes in China's current HTA methods, highlighting the need for increased investment in HTA processes and expertise cultivation.

Guiding Principles for Evaluating Vaccines in Joint Health Technology Assessment in the European Union: Preparing for the EU's Regulation on HTA for Vaccines.

OBJECTIVES: The appraisal of vaccines in the European Union (EU) currently involves many different decision-making bodies and processes. The objective of this study was to help inform the development of standardized methodology and vaccine-specific processes for use in the EU Regulation on health technology assessment (HTA). METHODS: Literature reviews and expert consultation were conducted to identify current practices and gaps related to vaccine appraisals and to develop guiding principles for the joint clinical assessment of vaccines. RESULTS: We found that significant variation exists across the EU Member States in the decision-making processes when clinically evaluating vaccines. Three guiding principles consisting of 13 recommendations were developed to help inform the development of decision-making frameworks for the joint clinical assessment of vaccines in the EU: (1) Support the creation of appropriate terminology and measurements for clinical appraisals of vaccines; (2) Develop inclusive, timely, and transparent vaccine appraisal processes to support stronger evidence generation for vaccine decision-making and appraisal; and (3) Improve the collection and interoperability of real-world data, including robust surveillance, to foster evidence generation and support the standardization of vaccine clinical appraisals. CONCLUSIONS: Given the significance of vaccines for public health, there is an urgency to develop standardized and vaccine-specific methodologies and processes for use in the EU joint HTA framework. The proposed guiding principles could support the effective implementation of the EU Regulation on HTA for vaccines and have the potential to ensure consistent, transparent, and timely access to new vaccines in the EU.

PRIMCAT-CRC: a data-driven whole disease simulation model for predicting the number of colorectal cancer patients by stage and treatment line in Australia.

OBJECTIVES: Effective healthcare planning, resource allocation, and budgeting require accurate predictions of the number of patients needing treatment at specific cancer stages and treatment lines. The PRedicting the population health economic IMpact of current and new Cancer Treatments Colorectal Cancer (PRIMCAT-CRC) simulation model was developed to meet this requirement for all CRC stages and relevant molecular profiles in Australia. METHODS: Real-world data was used to estimate treatment utilisation and time-to-event distributions. This populated a discrete-event simulation, projecting the number of patients receiving treatment across all disease stages and treatment lines for CRC and forecasting the number of patients likely to utilise future treatments. Illustrative analyses were undertaken, estimating treatments across disease stages and treatment lines over a 5-year period (2022-2026). We demonstrated the model's applicability through a case study introducing pembrolizumab as a first-line treatment for mismatch-repair deficient stage IV. RESULTS: Clinical registry data from 7,163 patients informed the model. The model forecasts 15,738 incident and 2,821 prevalent cases requiring treatment in 2022, rising to 15,921 and 2,871 respectively by 2026. Projections show that over 2022-2026, there will be a total of 116,752 treatments initiated, with 43% intended for stage IV disease. The introduction of pembrolizumab is projected for 706 patients annually, totalling 3,530 individuals starting treatment with pembrolizumab over the forecasted period, without significantly altering downstream utilisation of subsequent treatments. CONCLUSIONS: PRIMCAT-CRC is a versatile tool that can be used to estimate the eligible patient populations for novel cancer therapies, thereby reducing uncertainty for policymakers in decisions to publicly reimburse new treatments.

Improving Quality of Care for Status Epilepticus: Putting Protocols into Practice.

PURPOSE OF REVIEW: Timely treatment of status epilepticus (SE) improves outcomes, however gaps between recommended and implemented care are common. This review analyzes obstacles and explores interventions to optimize effective, evidence-based treatment of SE. RECENT FINDINGS: Seizure action plans, rescue medications, and noninvasive wearables with seizure detection capabilities can facilitate early intervention for prolonged seizures in the home and school. In the field, standardized EMS protocols, EMS education, and screening tools can address variability in SE definitions and treatment, particularly benzodiazepine dosing. In the emergency room and hospital, provider education, SE order sets and alerts, and rapid EEG technologies, can shorten time to first-line therapy, second-line therapy, and EEG initiation. Widespread, sustained improvement in SE care remains challenging. A multipronged approach including emphasis on pre-hospital intervention, treatment protocols adapted to local contexts, and SE databases to systematically collect process and outcome metrics have the potential to transform SE treatment and outcomes.

Behavioral Engagement and Activation Model Study (BEAMS): A latent class analysis of adopters and non-adopters of digital health technologies among people with Type 2 diabetes.

Many people with Type 2 diabetes (T2D) who could benefit from digital health technologies (DHTs) are either not using DHTs or do use them, but not for long enough to reach their behavioral or metabolic goals. We aimed to identify subgroups within DHT adopters and non-adopters and describe their unique profiles to better understand the type of tailored support needed to promote effective and sustained DHT use across a diverse T2D population. We conducted latent class analysis of a sample of adults with T2D who responded to an internet survey between December 2021 and March 2022. We describe the clinical and psychological characteristics of DHT adopters and non-adopters, and their attitudes toward DHTs. A total of 633 individuals were characterized as either DHT "Adopters" (n = 376 reporting any use of DHT) or "Non-Adopters" (n = 257 reporting never using any DHT). Within Adopters, three subgroups were identified: 21% (79/376) were "Self-managing Adopters," who reported high health activation and self-efficacy for diabetes management, 42% (158/376) were "Activated Adopters with dropout risk," and 37% (139/376) were "Non-Activated Adopters with dropout risk." The latter two subgroups reported barriers to using DHTs and lower rates of intended future use. Within Non-Adopters, two subgroups were identified: 31% (79/257) were "Activated Non-Adopters," and 69% (178/257) were "Non-Adopters with barriers," and were similarly distinguished by health activation and barriers to using DHTs. Beyond demographic characteristics, psychological, and clinical factors may help identify different subgroups of Adopters and Non-Adopters.

In this study, we characterized subgroups of adopters and non-adopters of digital health technologies (DHTs) for managing Type 2 diabetes, such as apps to track nutrition, continuous glucose monitors, and activity monitors like Fitbit. Self-efficacy for diabetes management, health activation, and perceived barriers to use DHT emerged as characteristics that distinguished subgroups. Notably, subgroups of adopters differed in their interest to use these technologies in the next 3 months; groups with low levels of self-efficacy and health activation were least interested in using them and thus at risk of discontinuing use. The ability to identify these subgroups can inform strategies tailored to each subgroup that motivate adoption of DHTs and promote long-term engagement.

Experiences of patient organizations' involvement in medicine appraisal and reimbursement processes in Finland - a qualitative study.

BACKGROUND: This study investigated how patient representatives have experienced their involvement in medicines appraisal and reimbursement processes with the Council for Choices in Health Care in Finland (COHERE) and the Pharmaceuticals Pricing Board (PPB) and how authorities perceive the role of patient organizations' input. METHODS: Semi-structured thematic individual and pair interviews were conducted in 2021 with representatives (n = 14) of patient organizations and government officials (n = 7) of the Ministry of Social Affairs and Health. The interview data were analyzed using qualitative content analysis. RESULTS: Patient representatives expressed their appreciation for the PPB and the COHERE in creating consultation processes and systematic models that support involvement. However, there were many challenges: patient representatives were uncertain about how their submissions were utilized in official processes and whether their opinions had any significance in decision-making. Patients or patient organizations lack representation in appraisal and decision-making bodies, and patient representatives felt that decision-making lacked transparency. The importance of patient involvement was highlighted by the authorities, but they also emphasized that the patient organizations' contributions were complementary to the other materials. Submissions regarding the medications used to treat rare diseases and those with limited research evidence were considered particularly valuable. However, the submissions may not necessarily have a direct impact on decisions. CONCLUSIONS: The interviews provided relevant input for the development of involvement processes at the PPB and COHERE. The interviews confirmed the need for increased transparency in the medicines assessment, appraisal, and decision-making procedures in Finland.

Cost-effectiveness of immune checkpoint inhibitors as a first-line therapy for advanced hepatocellular carcinoma: a systematic review.

Since 2017, immune checkpoint inhibitors (ICIs) have been available for the treatment of advanced hepatocellular carcinoma (HCC) or unresectable HCC, but their adoption into national medical insurance programs is still limited. Cost-effectiveness evidence can help to inform treatment decisions. This systematic review aimed to provide a critical summary of economic evaluations of ICIs as a treatment for advanced HCC and identify key drivers (PROSPERO 2023: CRD42023417391). The databases used included Scopus, Web of Science, PubMed, Embase, and Cochrane Central. Economic evaluations of ICIs for the treatment of advanced HCC were included. Studies were screened by two people. Of the 898 records identified, 17 articles were included. The current evidence showed that ICIs, including atezolizumab plus bevacizumab, sintilimab plus bevacizumab/bevacizumab biosimilar, nivolumab, camrelizumab plus rivoceranib, pembrolizumab plus lenvatinib, tislelizumab, durvalumab, and cabozantinib plus atezolizumab, are probably not cost-effective in comparison with tyrosine kinase inhibitors or other ICIs. The most influential parameters were price of anticancer drugs, hazard ratios for progression-free survival and overall survival, and utility for health statest. Our review demonstrated that ICIs were not a cost-effective intervention in advanced HCC. Although ICIs can significantly enhance the survival of patients with advanced HCC, decision-makers should consider the findings of economic evaluations and affordability before adoption of new therapies.

Uncertainty In Long-term Relative Effectiveness Of Medicines In Health Technology Assessment: Comparing Assessments Of Medicines For Spinal Muscular Atrophy, Cystic Fibrosis, And Hypercholesterolemia.

OBJECTIVES: Uncertainty regarding the long-term relative effectiveness is an important factor in health technology assessment (HTA) of medicines. This study investigated how different HTA bodies address this uncertainty in their assessments. METHODS: 49 HTA reports from six national HTA bodies, assessing nine medicines for spinal muscular atrophy, cystic fibrosis, and hypercholesterolemia, were included. In these reports, 81 relative effectiveness assessments (REAs) and 45 cost-effectiveness assessments (CEAs) were performed on an indication level. We collected information on included trials, assessment outcomes, uncertainty regarding the long-term effectiveness, proposed managed entry agreements (MEAs), and reassessments. RESULTS: Uncertainty regarding the long-term effectiveness was an important consideration in almost all CEAs (91%) and three quarters of REAs (74%), despite differences in methodologies between HTA bodies. There were considerable differences in the amount and type of long-term effectiveness data included by HTA bodies due to timing and inclusion criteria. In total 23 MEAs were proposed of which 14 were linked to uncertainty regarding the long-term effectiveness. Additionally, 13 reassessments were performed of which four led to an increase in patient access because of more available long-term effectiveness data. CONCLUSIONS: Uncertainty regarding the long-term effectiveness is an important challenge for HTA bodies. There are large differences in the acceptance of evidence between HTA bodies which leads to heterogeneity in the inclusion of available long-term effectiveness data for decision-making. In cases with large uncertainty regarding the long-term effectiveness, outcome-based agreements and reassessments are used by HTA bodies, but differently between HTA bodies and indications.

Quantifying Nocturnal Scratch in Atopic Dermatitis: A Machine Learning Approach Using Digital Wrist Actigraphy.

Nocturnal scratching substantially impairs the quality of life in individuals with skin conditions such as atopic dermatitis (AD). Current clinical measurements of scratch rely on patient-reported outcomes (PROs) on itch over the last 24 h. Such measurements lack objectivity and sensitivity. Digital health technologies (DHTs), such as wearable sensors, have been widely used to capture behaviors in clinical and real-world settings. In this work, we develop and validate a machine learning algorithm using wrist-wearing actigraphy that could objectively quantify nocturnal scratching events, therefore facilitating accurate assessment of disease progression, treatment effectiveness, and overall quality of life in AD patients. A total of seven subjects were enrolled in a study to generate data overnight in an inpatient setting. Several machine learning models were developed, and their performance was compared. Results demonstrated that the best-performing model achieved the F1 score of 0.45 on the test set, accompanied by a precision of 0.44 and a recall of 0.46. Upon satisfactory performance with an expanded subject pool, our automatic scratch detection algorithm holds the potential for objectively assessing sleep quality and disease state in AD patients. This advancement promises to inform and refine therapeutic strategies for individuals with AD.

Centering Digital Health Equity During Technology Innovation: Protocol for a Comprehensive Scoping Review of Evidence-Based Tools and Approaches.

BACKGROUND: In the rush to develop health technologies for the COVID-19 pandemic, the unintended consequence of digital health inequity or the inability of priority communities to access, use, and receive equal benefits from digital health technologies was not well examined. OBJECTIVE: This scoping review will examine tools and approaches that can be used during digital technology innovation to improve equitable inclusion of priority communities in the development of digital health technologies. The results from this study will provide actionable insights for professionals in health care, health informatics, digital health, and technology development to proactively center equity during innovation. METHODS: Based on the Arksey and O'Malley framework, this scoping review will consider priority communities' equitable involvement in digital technology innovation. Bibliographic databases in health, medicine, computing, and information sciences will be searched. Retrieved citations will be double screened against the inclusion and exclusion criteria using Covidence (Veritas Health Innovation). Data will be charted using a tailored extraction tool and mapped to a digital health innovation pathway defined by the Centre for eHealth Research roadmap for eHealth technologies. An accompanying narrative synthesis will describe the outcomes in relation to the review's objectives. RESULTS: This scoping review is currently in progress. The search of databases and other sources returned a total of 4868 records. After the initial screening of titles and abstracts, 426 studies are undergoing dual full-text review. We are aiming to complete the full-text review stage by May 30, 2024, data extraction in October 2024, and subsequent synthesis in December 2024. Funding was received on October 1, 2023, from the Centre for Health Equity Incubator Grant Scheme, University of Melbourne, Australia. CONCLUSIONS: This paper will identify and recommend a series of validated tools and approaches that can be used by health care stakeholders and IT developers to produce equitable digital health technology across the Centre for eHealth Research roadmap. Identified evidence gaps, possible implications, and further research will be discussed. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/53855.

Optimising a clinical decision support tool to improve chronic kidney disease management in general practice.

BACKGROUND: Early identification and treatment of chronic disease is associated with better clinical outcomes, lower costs, and reduced hospitalisation. Primary care is ideally placed to identify patients at risk of, or in the early stages of, chronic disease and to implement prevention and early intervention measures. This paper evaluates the implementation of a technological intervention called Future Health Today that integrates with general practice EMRs to (1) identify patients at-risk of, or with undiagnosed or untreated, chronic kidney disease (CKD), and (2) provide guideline concordant recommendations for patient care. The evaluation aimed to identify the barriers and facilitators to successful implementation. METHODS: Future Health Today was implemented in 12 general practices in Victoria, Australia. Fifty-two interviews with 30 practice staff were undertaken between July 2020 and April 2021. Practice characteristics were collected directly from practices via survey. Data were analysed using inductive and deductive qualitative analysis strategies, using Clinical Performance - Feedback Intervention Theory (CP-FIT) for theoretical guidance. RESULTS: Future Health Today was acceptable, user friendly and useful to general practice staff, and supported clinical performance improvement in the identification and management of chronic kidney disease. CP-FIT variables supporting use of FHT included the simplicity of design and delivery of actionable feedback via FHT, good fit within existing workflow, strong engagement with practices and positive attitudes toward FHT. Context variables provided the main barriers to use and were largely situated in the external context of practices (including pressures arising from the COVID-19 pandemic) and technical glitches impacting installation and early use. Participants primarily utilised the point of care prompt rather than the patient management dashboard due to its continued presence, and immediacy and relevance of the recommendations on the prompt, suggesting mechanisms of compatibility, complexity, actionability and credibility influenced use. Most practices continued using FHT after the evaluation phase was complete. CONCLUSIONS: This study demonstrates that FHT is a useful and acceptable software platform that provides direct support to general practice in identifying and managing patients with CKD. Further research is underway to explore the effectiveness of FHT, and to expand the conditions on the platform.

Bringing the Public Health Informatics and Technology Workforce Together: The PHIAT Conference.

The field of public health informatics has undergone significant evolution in recent years, and advancements in technology and its applications are imperative to address emerging public health challenges. Interdisciplinary approaches and training can assist with these challenges. In 2023, the inaugural Public Health Informatics and Technology (PHIAT) Conference was established as a hybrid 3-day conference at the University of California, San Diego, and online. The conference's goal was to establish a forum for academics and public health organizations to discuss and tackle new opportunities and challenges in public health informatics and technology. This paper provides an overview of the quest for interest, speakers and topics, evaluations from the attendees, and lessons learned to be implemented in future conferences.

Consensus-Based Recommendations for the Implementation of Health Technology Assessment in the United Arab Emirates.

OBJECTIVES: Healthcare research and development have accelerated at an unprecedented rate creating a challenge even for high-income countries to finance all new technologies. Health technology assessment (HTA) aims to maximize health gains out of available resources. Our study aimed to provide tailor-made recommendations for HTA implementation in the United Arab Emirates (UAE). METHODS: We conducted a policy survey to explore the gap between the current and preferred future environment of HTA implementation in the UAE. The survey was distributed in 2 workshops discussing the importance of HTA implementation, and results were further aggregated to yield a list of draft recommendations. Recommendations were then assessed for their feasibility in a round table discussion with experts in the field to generate actions for HTA implementation. RESULTS: Survey results and round table discussion indicated the need to leverage HTA for value-based decision making. Experts confirmed the unmet need for broader coverage of graduate and postgraduate HTA training with the aim of specific PhD programs in the UAE. Public funding for HTA appraisals and expanding the scope of HTA to nonpharmaceuticals was recommended. Furthermore, experts recommended that several HTA bodies should be coordinated centrally and highlighted the importance of having an explicit soft cost-effectiveness threshold for common technologies and a higher threshold for orphan drugs. CONCLUSIONS: Although HTA in the UAE is still in its early stages, strong initiatives are being taken for its implementation. Our survey results served as a step in developing a detailed action plan for HTA implementation that will enhance the sustainability of the healthcare system.