Objectives: Evaluation is crucial for integration of e-Health/m-Health into healthcare systems and health technology assessment (HTA) could offer sound methodological basis for these evaluations. Aim of this study was to look for HTA reports on e-Health/m-Health technologies and to analyze their transparency, consistency and thoroughness, with the goal to detect areas that need improvement.

Methods: PubMed, ISI-WOS, and University of York – Centre for Reviews and Dissemination–electronic databases were searched to identify reports on e-Health/m-Health technologies, published up until April 1, 2016. The International Network of Agencies for Health Technology Assessment (INAHTA) checklist was used to evaluate transparency and consistency of included reports. Thoroughness was assessed by checking the presence of domains suggested by the European network for Health Technology Assessment (EUnetHTA) HTA Core Model.

Results: Twenty-eight reports published between 1999 and 2015 were included. Most were delivered by non-European countries (71.4 percent) and only 35.7 percent were classified as full reports. All the HTA reports defined the scope of research whereas more than 80 percent provided author details, summary, discussed findings, and conclusion. On the contrary, policy and research questions were clearly defined in around 30 percent and 50 percent of reports. With respect to the EUnetHTA Core Model, around 70 percent of reports dealt with effectiveness and economic evaluation, more than 50 percent described health problem and approximately 40 percent organizational and social aspects.

Conclusions: E-Health/m-Health technologies are increasingly present in the field of HTA. Yet, our review identified several missing elements. Most of the reports failed to respond to relevant assessment components, especially ethical, social and organizational implications.

Background: The importance of economic evaluation in decision making is growing with increasing budgetary pressures on health systems. Diverse economic evidence is available for a range of interventions across national contexts within Europe, but little attention has been given to identifying evidence gaps that, if filled, could contribute to more efficient allocation of resources. One objective of the Research Agenda for Health Economic Evaluation project is to determine the most important methodological evidence gaps for the ten highest burden conditions in the European Union (EU), and to suggest ways of filling these gaps.

Methods: The highest burden conditions in the EU by Disability Adjusted Life Years were determined using the Global Burden of Disease study. Clinical interventions were identified for each condition based on published guidelines, and economic evaluations indexed in MEDLINE were mapped to each intervention. A panel of public health and health economics experts discussed the evidence during a workshop and identified evidence gaps.

Results: The literature analysis contributed to identifying cross-cutting methodological and technical issues, which were considered by the expert panel to derive methodological research priorities.

Conclusions: The panel suggests a research agenda for health economics which incorporates the use of real-world evidence in the assessment of new and existing interventions; increased understanding of cost-effectiveness according to patient characteristics beyond the “-omics” approach to inform both investment and disinvestment decisions; methods for assessment of complex interventions; improved cross-talk between economic evaluations from health and other sectors; early health technology assessment; and standardized, transferable approaches to economic modeling.

Objectives: The aim of this study was to review the history of health technology assessment (HTA) in Italy.

Methods: Founded in 1978, the Italian National Health Service (NHS) has been strongly regionalized mainly after a constitutional reform, which started a devolution process. HTA started in the 1980s at the National Institute of Health and in a few University Hospitals, with a focus on big ticket technology: that process was driven by clinical engineers.

Results: In recent years, HTA is becoming an important tool for decision-making processes at central, regional, and local levels. In particular, the National Agency for Regional Health Services (AGENAS) and five regions (of twenty-one) are strongly committed to develop HTA initiatives connected with the planning process.

Conclusions: At the local level, the hospital-based HTA activity is probably the most important peculiarity of the country and the real driver of the HTA movement.

Objectives: The aim of the study is to make an international comparison of Health Technology Assessment (HTA) Agencies, to show their similarities and differences.

Methods: An e-mail questionnaire was sent to thirty HTA agencies internationally. Questions related to the structure of the agency, the relationship with health-related institutions, the prescriptiveness of the decisions taken, the main core and the modalities to spread the assessment, and the type of funding.

Results: Twenty-four HTA Agencies answered the questionnaire: 25 percent in America, 4.2 percent in Australia, and 70.8 percent in Europe. Fifty-four percent of HTA Agencies are governmental institutions (83.3 percent have central government funding), while 62.5 percent have relationships with health-related governmental institutions. Of the agencies, 87 percent reported that their decisions are not prescriptive, while for 20.8 percent and 8.3 percent of them stated that this was the case totally or partially, respectively, especially for the governmental and American Agencies. Seventeen agencies (70.8 percent) declared their work on multiannual programs (77 percent of the governmental HTA Agencies and 100 percent of the American ones). The assessments mainly addressed diagnostic procedures (85.7 percent) and pharmaceuticals (25 percent). The most common way to disseminate results is by means of paper report (91.7 percent), followed by the Internet (16.7 percent), and seminars to expert audiences (12.5 percent).

Conclusions: The comparative analysis of HTA Agencies showed that governmental and American Agencies have a profound impact on the prescriptiveness of their assessment, and this could be linked to the fact that these types of Agencies work on multiannual programs. European and American HTA Agencies have many similarities in terms of type of assessment, funding, and dissemination of results.

Objectives: Many evaluations underestimate the utility associated with diagnostic interventions by failing to capture the nonclinical value of diagnostic information. This is a cause of bias in resource allocation decisions. A study was undertaken to investigate preferences for the assessment of cardiac risk, testing the suitability of conjoint analysis, a multiattribute preference elicitation method, in the field of clinical diagnosis.

Methods: Two conjoint analysis models focusing on selected characteristics of cardiac risk assessment in asymptomatic patients 40–50 years of age were applied to elicit preferences for cardiac risk assessment from samples of general practitioners and the general public in the United Kingdom and Italy. Both models were based on rankings of alternative scenarios, and the results were analyzed using multivariate analysis of variance and an ordered probit model.

Results: In both countries, members of the public attached at least three times more importance to prognostic value (relative to clinical value) than did general practitioners. Significantly different patterns were found in the two countries with regard to other characteristics of the assessment. Variation within samples was partly associated with personal characteristics.

Conclusions: Only a fraction of the value of cardiac risk assessment to individuals and physicians in this study was linked to health outcomes. The study confirmed the appropriateness and validity of conjoint analysis in the assessment of preferences for diagnostic interventions. A wider use of this technique might significantly strengthen the existing evidence-base for diagnostic interventions, leading to a more efficient use of health-care resources.