In France, decisions for pricing and reimbursement for medicinal products are based on appraisals performed by the National authority for health (Haute Autorité de Santé (HAS)). During the appraisal process, additional real-world evidence can be requested as “Post-Registration Studies” (PRS) when there are uncertainties in evidence that could be resolved by additional data collection. To facilitate PRS planning, a retrospective exploratory analysis was conducted to identify the characteristics of medicinal products associated with a PRS request.

This analysis encompassed all appraisals finalized between January 1, 2016 and December 31, 2021 and compared products for which the appraisal led to a PRS request with those that did not.

Six hundred positive opinions for reimbursement were identified, with a PRS request present in 17 percent (n = 103) of cases. The independent characteristics associated with a PRS request were a mild or moderate clinical benefit score, a major to moderate or minor clinical added value score, previous availability under an early access program, and certain therapeutic areas (neurology, pulmonology, and endocrinology). These findings suggest two different profiles of PRS requests: (i) products for which there is uncertainty in the size of the clinical benefit and (ii) innovative products for which a substantial benefit is expected but uncertainties persist.

These results will assist health technology developers to better anticipate data generation to promptly address uncertainties identified by HAS. It may also help HAS and other assessment agencies to work together to improve postlaunch evidence generation according to the characteristics of the medicinal products.

Patients with hematological malignancies are likely to develop hypogammaglobulinemia. Immunoglobulin (Ig) is commonly given to prevent infections, but its overall costs and cost-effectiveness are unknown.

A systematic review was conducted following the PRISMA guidelines to assess the evidence on the costs and cost-effectiveness of Ig, administered intravenously (IVIg) or subcutaneously (SCIg), in adults with hematological malignancies.

Six studies met the inclusion criteria, and only two economic evaluations were identified; one cost-utility analysis (CUA) of IVIg versus no Ig, and another comparing IVIg with SCIg. The quality of the evidence was low. Compared to no treatment, Ig reduced hospitalization rates. One study reported no significant change in hospitalizations following a program to reduce IVIg use, and an observational study comparing IVIg with SCIg suggested that there were more hospitalizations with SCIg but lower overall costs per patient. The CUA comparing IVIg versus no Ig suggested that IVIg treatment was not cost-effective, and the other CUA comparing IVIg to SCIg found that home-based SCIg was more cost-effective than IVIg, but both studies had serious limitations.

Our review highlighted key gaps in the literature: the cost-effectiveness of Ig in patients with hematological malignancies is very uncertain. Despite increasing Ig use worldwide, there are limited data regarding the total direct and indirect costs of treatment, and the optimal use of Ig and downstream implications for healthcare resource use and costs remain unclear. Given the paucity of evidence on the costs and cost-effectiveness of Ig treatment in this population, further health economic research is warranted.

While patient input to health technology assessment (HTA) has traditionally been of a qualitative nature, there is increasing interest to integrate quantitative evidence from patient preference studies into HTA decision making. Preference data can be used to generate disease-specific health utility data. We generated a health utility score for patients with chronic obstructive pulmonary disease (COPD) and consider its use within HTAs.

Based on qualitative research, six symptoms were identified as important to COPD patients: shortness of breath, exacerbations, chronic cough, mucus secretion, sleep disturbance, and urinary incontinence. We employed a discrete choice experiment (DCE) and the random parameter logistic regression technique to estimate utility scores for all COPD health states. The relationship between patients’ COPD health utility scores, self-perceived COPD severity, and EQ-5D-3L utility scores was analyzed, with data stratified according to disease severity and comorbidity subgroups.

The COPD health utility score had face validity, with utility scores negatively correlated with patients’ self-perceived COPD severity. The correlation between the COPD health utility scores and EQ-5D-3L values was only moderate. While patient EQ-5D-3L scores were impacted by comorbidities, the COPD health utility score was less impacted by comorbid conditions.

Our COPD utility measure, derived from a DCE, provides a patient-centered health utility score and is more sensitive to the COPD health of the individual and less sensitive to other comorbidities. This disease-specific instrument should be considered alongside generic health-related quality of life instruments when valuing new COPD therapies in submissions to licensing and reimbursement agencies.

Our objective was to explore procedures and methods used at health technology assessment (HTA) agencies for assessing medical devices and the underlying views of HTA practitioners about appropriate methodology to identify challenges in adopting new methodologies for assessing devices. We focused on the role of normative commitments of HTA practitioners in the adoption of new methods.

An online survey, including questions on procedures, scoping, and assessments of medical devices, was sent to members of the International Network of Agencies for Health Technology Assessment. Interviews were conducted with survey respondents and HTA practitioners involved in assessments of transcatheter aortic valve implantation to gain an in-depth understanding of choices made and views about assessing medical devices. Survey and interview questions were inspired by the “values in doing assessments of health technologies” approach towards HTA, which states that HTA addresses value-laden questions and information.

The current practice of assessing medical devices at HTA agencies is predominantly based on procedures, methods, and epistemological principles developed for assessments of drugs. Both practical factors (available time, demands of decision-makers, existing legal frameworks, and HTA guidelines), as well as commitments of HTA practitioners to principles of evidence-based medicine, make the adoption of a new methodology difficult.

There is a broad recognition that assessments of medical devices may need changes in HTA methodology. In order to realize this, the HTA community may require both a discussion on the role, responsibility, and goals of HTA, and resulting changes in institutional context to adopt new methodologies.

Systematic priority setting is necessary for achieving high-quality healthcare using limited resources in low- and middle-income countries. Health technology assessment (HTA) is a tool that can be used for systematic priority setting. The objective of this study was to conduct a stakeholder and situational analysis of HTA in Zimbabwe.

We identified and analyzed stakeholders using the International Decision Support Initiative checklist. The identified stakeholders were invited to an HTA workshop convened at the University of Zimbabwe. We used an existing HTA situational analysis questionnaire to ask for participants’ views on the need, demand, and supply of HTA. A follow-up survey was done among representatives of stakeholder organizations that failed to attend the workshop. We reviewed two health policy documents relevant to the HTA. Qualitative data from the survey and document review were analyzed using thematic analysis.

Forty-eight organizations were identified as stakeholders for HTA in Zimbabwe. A total of 41 respondents from these stakeholder organizations participated in the survey. Respondents highlighted that the HTA was needed for transparent decision making. The demand for HTA-related evidence was high except for the health economic and ethics dimensions, perhaps reflecting a lack of awareness. Ministry of Health was listed as a major supplier of HTA data.

There is no formal HTA agency in the Zimbabwe healthcare system. Various institutions make decisions on prioritization, procurement, and coverage of health services. The activities undertaken by these organizations provide context for the institutionalization of HTA in Zimbabwe.

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.

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.

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.

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.

Traditional therapies are crucial in maintaining and improving human well-being. China’s healthcare policymakers are attempting to use health technology assessment (HTA) as a decision-making supportive tool. The value assessment framework for Chinese patent medicine (CPM) has been developed and is being adopted and validated widely by research institutions. Subsequently, the healthcare decision-makers particularly hanker for the value framework of traditional non-pharmacological therapies.

To construct a practical value framework for traditional non-pharmacological therapies, a scoping review methodology was adopted to identify the evaluation domains and obstacles. A search, screening, and analysis process was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). Evidence was retrieved from scientific databases and HTA agencies’ websites.

The search strategy identified 5 guidelines records and 17 acupuncture HTA reports. By synthesizing the valuable reports of CPM and acupuncture evaluation in representative countries, this study found that Mainland China was promoting the comprehensive value assessment of CPM, whereas the United Kingdom, Singapore, Canada, the United States, and Malaysia had carried out the HTA evaluation of acupuncture for various conditions among which chronic pain was the most common. UK and Singapore applied the HTA results to support acupuncture reimbursement decisions. Three domains, including safety, effectiveness, and economy, were commonly adopted. The identified biggest challenge of evaluating traditional non-pharmacological therapies is the scarce high-quality clinical evidence.

This study identified value domains and issues of traditional therapies, and pointed out future research implications, to promote the development value framework of traditional therapies.

Discounting the cost and effect for health intervention is a controversial topic over the last two decades. In particular, the cost-effectiveness of gene therapies is especially sensitive to the discount rate because of the substantial delay between the upfront cost incurred and long-lasing clinical benefits received. This study aims to investigate the influence of employing alternative discount rates on the incremental cost-effectiveness ratio (ICER) of gene therapies.

A systematic review was conducted to include health economic evaluations of gene therapies that were published until April 2023.

Sensitivity or scenario analysis indicated that discount rate represented one of the most influential factors for the ICERs of gene therapies. Discount rate for cost and benefit was positively correlated with the cost-effectiveness of gene therapies, that is, a lower discount rate significantly improves the ICERs. The alternative discount rate employed in some cases could be powerful to alter the conclusion on whether gene therapies are cost-effective and acceptable for reimbursement.

Although discount rate will have substantial influence on the ICERs of gene therapies, there lacks solid evidence to justify a different discounting rule for gene therapies. However, it is proposed that the discount rate in the reference case should be updated to reflect the real-time preference, which in turn will affect the ICERs and reimbursement of gene therapies more profoundly than conventional therapies.

The rising costs of drugs have necessitated the exploration of innovative payment methods in healthcare systems. Risk-sharing agreements (RSAs) have been implemented in many countries as a value-based payment mechanism to manage the uncertainty associated with expensive technologies. This study aimed to investigate stakeholder perspectives on value-based payment in the Singaporean context, providing insights for future directions in health technology assessment and financing.

This descriptive qualitative inquiry involved participant interviews conducted between October 2021 and April 2022. Thematic analysis was conducted in two phases to analyze the interview transcripts.

Seventeen respondents participated in the study, and five key themes emerged from the analysis. Stakeholders viewed RSAs as moderately positive, despite limited experience with them. They emphasized the importance of clearly defining objectives and establishing transparent criteria for implementing these schemes. The current data infrastructure was identified as both a barrier and facilitator, as RSAs impose administrative burdens. To successfully implement these payment mechanisms, capacity building, and effective stakeholder engagement that fosters mutual trust and cocreation are crucial.

This study confirms previously identified barriers and facilitators to successful RSA implementation while contextualizing them within the Singaporean setting. The findings suggest that value-based payment has the potential to address uncertainty and improve access to healthcare technologies, but these barriers must be addressed for the schemes to be effective.

This study aims to develop a framework for establishing priorities in the regional health service of Murcia, Spain, to facilitate the creation of a comprehensive multiple criteria decision analysis (MCDA) framework. This framework will aid in decision-making processes related to the assessment, reimbursement, and utilization of high-impact health technologies.

Based on the results of a review of existing frameworks for MCDA of health technologies, a set of criteria was proposed to be used in the context of evaluating high-impact health technologies. Key stakeholders within regional healthcare services, including clinical leaders and management personnel, participated in a focus group (n = 11) to discuss the proposed criteria and select the final fifteen. To elicit the weights of the criteria, two surveys were administered, one to a small sample of healthcare professionals (n = 35) and another to a larger representative sample of the general population (n = 494).

The responses obtained from health professionals in the weighting procedure exhibited greater consistency compared to those provided by the general public. The criteria more highly weighted were “Need for intervention” and “Intervention outcomes.” The weights finally assigned to each item in the multicriteria framework were derived as the equal-weighted sum of the mean weights from the two samples.

A multi-attribute function capable of generating a composite measure (multicriteria) to assess the value of high-impact health interventions has been developed. Furthermore, it is recommended to pilot this procedure in a specific decision context to evaluate the efficacy, feasibility, usefulness, and reliability of the proposed tool.

This study aimed to introduce a pilot program for hospital-based health technology assessment (HB-HTA) in China and present the participants’ experiences based on seven case studies from seven tertiary hospitals.

One-year pilot projects were initiated at the beginning of 2018. Seven pilot hospitals were closely followed from the beginning until the completion of their pilot HTA project. Regular interviews were conducted with the hospital managers leading the HB-HTA projects and key members of the special HTA teams. Observations were made based on field trips and written HTA reports.

Three pilot projects evaluated the use of medical consumables, three evaluated the use of surgical or medical interventions, and one evaluated an innovative management model for ventilators. Real-world data were collected from all the pilot projects to assist with the assessments. Most HB-HTA pilot projects achieved remarkable results such as improvements in economic efficiency; however, there were also obvious deficiencies such as the lack of a necessary cost-effectiveness analysis.

The results varied among the seven HB-HTA pilot projects. The HB-HTA pilot program was implemented to promote the use of HB-HTA in hospital decision making in China. At the same time, HB-HTA in China faces challenges. We have made some policy recommendations based on the findings of the pilot projects.

Health technology assessment (HTA) plays a vital role in healthcare decision-making globally, necessitating the identification of key factors impacting evaluation outcomes due to the significant workload faced by HTA agencies.

The aim of this study was to predict the approval status of evaluations conducted by the Brazilian Committee for Health Technology Incorporation (CONITEC) using natural language processing (NLP).

Data encompassing CONITEC’s official report summaries from 2012 to 2022. Textual data was tokenized for NLP analysis. Least Absolute Shrinkage and Selection Operator, logistic regression, support vector machine, random forest, neural network, and extreme gradient boosting (XGBoost), were evaluated for accuracy, area under the receiver operating characteristic curve (ROC AUC) score, precision, and recall. Cluster analysis using the k-modes algorithm categorized entries into two clusters (approved, rejected).

The neural network model exhibited the highest accuracy metrics (precision at 0.815, accuracy at 0.769, ROC AUC at 0.871, and recall at 0.746), followed by XGBoost model. The lexical analysis uncovered linguistic markers, like references to international HTA agencies’ experiences and government as demandant, potentially influencing CONITEC’s decisions. Cluster and XGBoost analyses emphasized that approved evaluations mainly concerned drug assessments, often government-initiated, while non-approved ones frequently evaluated drugs, with the industry as the requester.

NLP model can predict health technology incorporation outcomes, opening avenues for future research using HTA reports from other agencies. This model has the potential to enhance HTA system efficiency by offering initial insights and decision-making criteria, thereby benefiting healthcare experts.

To determine the level of awareness of health technology assessment (HTA) and its predictors among clinical year medical students in public universities in Klang Valley, Malaysia.

A cross-sectional study using the stratified random sampling method was conducted among clinical year medical students in four public universities in Klang Valley, Malaysia. Data on the level of awareness of HTA and its associated factors were collected using a self-administered online questionnaire. Descriptive, bivariate, and multivariate analyses were performed using IBM SPSS version 27 to determine the level of awareness of HTA and its predictors.

Majority (69 percent) of participants had a low level of awareness of HTA. The predictors of high-level awareness of HTA were attitude toward HTA (adjusted odds ratio (AOR) = 7.417, 95 percent confidence interval (CI): 3.491, 15.758), peer interaction on HTA (AOR = 0.320, 95 percent CI: 0.115, 0.888), and previous training on HTA (AOR = 4.849, 95 percent CI: 1.096, 21.444).

Most future doctors in public universities exhibit a low awareness of HTA. This study highlights the interplay between attitudes toward HTA, peer interaction, and previous training as influential predictors of HTA awareness. An integrated and comprehensive educational approach is recommended to cultivate a positive attitude and harness the positive aspects of peer interaction while mitigating the potential negative impact of misconceptions. Emphasizing early exposure to HTA concepts through structured programs is crucial for empowering the upcoming generation of healthcare professionals, enabling them to navigate HTA complexities and contribute to evidence-based healthcare practices in Malaysia and beyond.

Computerized clinical decision support software (CDSS) are digital health technologies that have been traditionally categorized as medical devices. However, the evaluation frameworks for traditional medical devices are not well adapted to assess the value and safety of CDSS. In this study, we identified a range of challenges associated with CDSS evaluation as a medical device and investigated whether and how CDSS are evaluated in Australia.

Using a qualitative approach, we interviewed 11 professionals involved in the implementation and evaluation of digital health technologies at national and regional levels. Data were thematically analyzed using both data-driven (inductive) and theory-based (deductive) approaches.

Our results suggest that current CDSS evaluations have an overly narrow perspective on the risks and benefits of CDSS due to an inability to capture the impact of the technology on the sociotechnical environment. By adopting a static view of the CDSS, these evaluation frameworks are unable to discern how rapidly evolving technologies and a dynamic clinical environment can impact CDSS performance. After software upgrades, CDSS can transition from providing information to specifying diagnoses and treatments. Therefore, it is not clear how CDSS can be monitored continuously when changes in the software can directly affect patient safety.

Our findings emphasize the importance of taking a living health technology assessment approach to the evaluation of digital health technologies that evolve rapidly. There is a role for observational (real-world) evidence to understand the impact of changes to the technology and the sociotechnical environment on CDSS performance.

Poor nutrition links to chronic diseases, emphasizing the need for optimized diets. The EU-funded project PREVENTOMICS, introduced personalized nutrition to address this. This study aims to perform a health technology assessment (HTA) comparing personalized nutrition interventions developed through this project, with non-personalized nutrition interventions (control) for people with normal weight, overweight, or obesity. The goal is to support decisions about further development and implementation of personalized nutrition.

The PREVENTOMICS interventions were evaluated using the European Network for HTA Core Model, which includes a methodological framework that encompasses different domains for value assessment. Information was gathered via [1] different statistical analyses and modeling studies, [2] questions asked of project partners and, [3] other (un)published materials.

Clinical trials of PREVENTOMICS interventions demonstrated different body mass index changes compared to control; differences ranged from −0.80 to 0.20 kg/m2. Long-term outcome predictions showed generally improved health outcomes for the interventions; some appeared cost-effective (e.g., interventions in UK). Ethical concerns around health inequality and the lack of specific legal regulations for personalized nutrition interventions were identified. Choice modeling studies indicated openness to personalized nutrition interventions; decisions were primarily affected by intervention’s price.

PREVENTOMICS clinical trials have shown promising effectiveness with no major safety concerns, although uncertainties about effectiveness exist due to small samples (n=60–264) and short follow-ups (10–16 weeks). Larger, longer trials are needed for robust evidence before implementation could be considered. Among other considerations, developers should explore financing options and collaborate with policymakers to prevent exclusion of specific groups due to information shortages.

Olaparib targets the DNA repair pathways and has revolutionized the management of metastatic castration resistant prostate cancer (mCRPC). Treatment with the drug should be guided by genetic testing; however, published economic evaluations did not consider olaparib and genetic testing as codependent technologies. This study aims to assess the cost-effectiveness of BRCA germline testing to inform olaparib treatment in mCRPC.

We conducted a cost-utility analysis of germline BRCA testing-guided olaparib treatment compared to standard care without testing from an Australian health payer perspective. The analysis applied a decision tree to indicate the germline testing or no testing strategy. A Markov multi-state transition approach was used for patients within each strategy. The model had a time horizon of 5 years. Costs and outcomes were discounted at an annual rate of 5 percent. Decision uncertainty was characterized using probabilistic and scenario analyses.

Compared to standard care, BRCA testing-guided olaparib treatment was associated with an incremental cost of AU$7,841 and a gain of 0.06 quality-adjusted life-years (QALYs). The incremental cost-effectiveness ratio (ICER) was AU$143,613 per QALY. The probability of BRCA testing-guided treatment being cost effective at a willingness-to-pay threshold of AU$100,000 per QALY was around 2 percent; however, the likelihood for cost-effectiveness increased to 66 percent if the price of olaparib was reduced by 30 percent.

This is the first study to evaluate germline genetic testing and olaparib treatment as codependent technologies in mCRPC. Genetic testing-guided olaparib treatment may be cost-effective with significant discounts on olaparib pricing.