1,720,975 research outputs found
A toolkit for the identification and assessment of new and emerging health technologies
No full textThe first toolkit for the identification and assessment of new and emerging health technologies was developed by members of the EuroScan International Network and published in 2009. Five years later this revised toolkit continues to focus on methods that are integral to an early awareness and alert (EAA) system. It is once again a collaborative piece of work to which all members have contributed with new information based on their experiences being added.
The main stages involved in EAA systems continue to be: identification of information on new and emerging technologies (horizon scanning); filtration and prioritisation of the identified information; and assessment of the technology or group of technologies. The toolkit provides guidance on these stages and highlights the various approaches that can be taken at each of these stages depending on the context of the EAA system and resources available
EuroScan International Network member agencies:their structure, processes and outputs
Get PDFObjectives: The EuroScan International Network is a global network of publicly funded early awareness and alert (EAA) systems for health technologies. We describe the EuroScan member agency systems and methods, and highlight the potential for increased collaboration. Methods: EuroScan members completed postal questionnaires supplemented with telephone interviews in 2012 to elicit additional information and check equivalence of responses. Information was updated between March and May 2013. Results: Fifteen of the 17 member agencies responded. The principal purpose of agencies is to inform decisions on coverage or reimbursement of health services and decisions on undertaking secondary research. The main users of information are national governments; health professionals; health services purchasers, commissioners and decision makers; and health care providers. Most EuroScan agencies are small with almost half having fewer than 2 whole time equivalent staff. Ten agencies use both active and passive identification approaches, 4 use only active approaches. Most start identification in the experimental or investigational stages of the technology life cycle. All agencies assessed technologies when they are between the investigational and established - but under diffusion stages. Barriers to collaboration revolve around different system aims, purposes and requirements; a lack of staff, finance or opportunity; language differences; and restrictions on dissemination.Conclusions: Although many barriers to collaboration were identified, the majority of agencies were supportive of increased collaboration either involving the whole EuroScan Network or between individual agencies. Despite differences in the detailed identification processes, members thought that this was the most feasible phase to develop additional collaboration.<br/
EuroScan International Network member agencies:their structure, processes and outputs
Get PDFObjectives: The EuroScan International Network is a global network of publicly funded early awareness and alert (EAA) systems for health technologies. We describe the EuroScan member agency systems and methods, and highlight the potential for increased collaboration. Methods: EuroScan members completed postal questionnaires supplemented with telephone interviews in 2012 to elicit additional information and check equivalence of responses. Information was updated between March and May 2013. Results: Fifteen of the 17 member agencies responded. The principal purpose of agencies is to inform decisions on coverage or reimbursement of health services and decisions on undertaking secondary research. The main users of information are national governments; health professionals; health services purchasers, commissioners and decision makers; and health care providers. Most EuroScan agencies are small with almost half having fewer than 2 whole time equivalent staff. Ten agencies use both active and passive identification approaches, 4 use only active approaches. Most start identification in the experimental or investigational stages of the technology life cycle. All agencies assessed technologies when they are between the investigational and established - but under diffusion stages. Barriers to collaboration revolve around different system aims, purposes and requirements; a lack of staff, finance or opportunity; language differences; and restrictions on dissemination.Conclusions: Although many barriers to collaboration were identified, the majority of agencies were supportive of increased collaboration either involving the whole EuroScan Network or between individual agencies. Despite differences in the detailed identification processes, members thought that this was the most feasible phase to develop additional collaboration.<br/
EuroScan International Network member agencies:their structure, processes and outputs
Get PDFObjectives: The EuroScan International Network is a global network of publicly funded early awareness and alert (EAA) systems for health technologies. We describe the EuroScan member agency systems and methods, and highlight the potential for increased collaboration. Methods: EuroScan members completed postal questionnaires supplemented with telephone interviews in 2012 to elicit additional information and check equivalence of responses. Information was updated between March and May 2013. Results: Fifteen of the 17 member agencies responded. The principal purpose of agencies is to inform decisions on coverage or reimbursement of health services and decisions on undertaking secondary research. The main users of information are national governments; health professionals; health services purchasers, commissioners and decision makers; and health care providers. Most EuroScan agencies are small with almost half having fewer than 2 whole time equivalent staff. Ten agencies use both active and passive identification approaches, 4 use only active approaches. Most start identification in the experimental or investigational stages of the technology life cycle. All agencies assessed technologies when they are between the investigational and established - but under diffusion stages. Barriers to collaboration revolve around different system aims, purposes and requirements; a lack of staff, finance or opportunity; language differences; and restrictions on dissemination.Conclusions: Although many barriers to collaboration were identified, the majority of agencies were supportive of increased collaboration either involving the whole EuroScan Network or between individual agencies. Despite differences in the detailed identification processes, members thought that this was the most feasible phase to develop additional collaboration.<br/
Early identification and assessment of new and emerging health technologies: Actions, progress, and the future direction of an international collaboration—EuroScan
Get PDFObjectives: To report on a workshop, and subsequent discussions, that reviewed the achievements and progress of the EuroScan collaboration since its establishment in 1999 to share information on the methods and results of early identification and assessment of new and emerging health technologies; considered challenges to the collaboration; and discussed its possible future direction.Methods: A workshop was held in Stockholm in September 2006, with thirty-two participants from ten countries and representatives from EuroScan member agencies, policy makers involved in policy or decision making relating to new technologies, and invited external commentators from international HTA networks. The workshop used a mix of presentations, panel and audience discussions, and small group work to consider the achievements and challenges put forward.Results: EuroScan has developed as a sustainable network, and has made progress on all tasks in its initial action plan, with the EuroScan information sharing database on new and emerging technologies being one of the collaboration's key achievements. Identified immediate concerns for the network included consideration of the impact of its current name and membership model; acknowledgement and publication of the full range of benefits of membership; contribution to and development of the database to encourage increased information sharing; and EuroScan's ongoing interaction with the wider HTA world.Conclusions: The workshop was a useful mechanism for reviewing the work of EuroScan and for creating a platform to take the collaboration forward. The workshop affirmed the benefits of the network to individual members; posed some significant challenges to the network to consider; and acted as a stimulus for an interim name change to better represent the global membership, and a major review of the EuroScan database of identified and assessed emerging health technologies
EARLY AWARENESS AND ALERT SYSTEMS: AN OVERVIEW OF EUROSCAN METHODS
Get PDFObjectives: Early awareness and alert (EAA) activities are increasingly recognized to be an important component of the health technology assessment (HTA) process. Sharing information on methods used in this discipline is vital to ensure the development of sustainable systems. The objectives of this study is to outline the approach taken to share the different methods that members of the EuroScan International Network use by producing a methods toolkit; and to provide an overview of the similarities and differences in methods adopted by EAA systems.Methods: A Delphi technique was used to develop the methods toolkit. Structured questionnaires were used to identify the sources used in the identification of emerging technologies and to determine the methods used by agencies to carry out EAA activities.Results: A methods toolkit incorporating guidance on all of the stages described by EuroScan members was produced. The toolkit and an accompanying checklist presents users with different methods that can be adopted to suit their needs. The comparative analysis demonstrates that different methods are being used by EAA systems dependent on resources available and customer requirements. Differences in identification, filtration, prioritization, and assessment are apparent along with the role of collaborators in these processes.Conclusions: The methods used by EAA systems are not homogeneous resulting in a toolkit constructed on the basis of “one size doesn't fit all.” Methods in this discipline are developing continually to accommodate changes in health systems and the HTA world. Differences between agencies and the sharing of ideas and experiences enable EAA agencies to adapt to these developments
VP72 Development Trend Analysis On New Health Technology: Based On Euroscan
No full textINTRODUCTION:Emerging health technologies (EHT) are important to meet the challenges faced by healthcare systems but a major pressure on health systems as well (1). The International Information Network on New and Emerging Health Technologies (EUROSCAN) is a collaborative network to manage the introduction of EHT and share information on the results of early identification and assessment of EHT (2). This article analyzed the early assessment reports of EHT during 2000–2016 published in the EUROSCAN database (3), in order to reflect the 21st century development trend of the EHT.METHODS:The EHT report data was downloaded by researchers from the official website of the EUROSCAN and arranged using Excel 2007. A descriptive analysis on the number and growth rate of EHT, distribution of technology type and specialties, developmental trend of the integrated technologies were conducted with SAS 9.3.RESULTS:Health technology early assessment reports (3,151) have been published in the past 17 years, of which drugs had the highest proportion (54.3 percent). Most of new and emerging health technologies were adopted in oncology and radiotherapy (32.2 percent). The average growth rate every 4 years of EHT from 2001 to 2016 was 34.6 percent, the fastest-growing period was between 2005 and 2008 (63.8 percent). Rehabilitation & disability was the fastest-growing EHT specialty (184.4 percent) and the integrated technologies was the fastest-growing EHT type (64.6 percent).CONCLUSIONS:With the objective needs of effective technologies to deal with cancer and chronic disease, as well as the revolution of science, EHT were in the process of vigorous development, especially oncology & radiotherapy technologies. The integrated technologies and the ones applied in multidisciplinary areas have become a new spotlight. Early identification and timely assessment of new and emerging health technologies has aroused wide public concern. It is suggested to establish an Early Awareness and Alert Systerm in China.</jats:sec
Innovation and the Burden of Disease: Retrospective Observational Study of New and Emerging Health Technologies Reported by the EuroScan Network from 2000 to 2009
No full textAbstractObjectivesMedical innovation in developed countries has been linked to burden of disease, with more innovation in areas representing greater investment return. This study used horizon scanning or early awareness and alert activity as a novel measure of innovation to determine whether new and emerging health technologies reported by international horizon scanning agencies reflected diseases constituting the greatest burden.MethodsThis was a retrospective observational study of the 20 member agencies of EuroScan (the International Information Network on New and Emerging Health Technologies), representing 17 developed countries. Burden of disease was defined as disability-adjusted life-years, taken from the 2004 World Health Organization Global Burden of Disease estimates. This analysis focused on 102 specific diseases within 21 broader groups. Horizon scanning output was measured as the number of technologies reported by EuroScan member agencies between 2000 and 2009.ResultsAt best there was a weak association between innovation and burden of disease. An apparent high-level association was dependent on just three high-prevalence disease groups: malignant neoplasms, neuropsychiatric conditions, and cardiovascular disease. Disaggregating broader groups into specific diseases further weakened the association. Innovation is disproportionately strong in cancer and nonischemic heart disease and disproportionately weak in mental health.ConclusionsInnovations reported by early awareness and alert systems do not always reflect conditions accounting for the highest morbidity and mortality. The results do not support previous reports of a positive relationship between burden of disease and innovation, but accord with evidence of notable discrepancies among key groups. Factors other than disease burden drive innovation
Network among HTA ecosystem
No full textOnur Başer (MEF Author)This study intends to examine the main drivers of network relations among health technology assessment (HTA) organizations. Social network analysis was performed to determine the relations among HTA organizations and to visualize the main drivers of such collaboration. The members in HTA organizations such as International Society for Pharmacoeconomics and Outcomes Research, Health Technology Assessment international, International Network of Agencies for Health Technology Assessment, EuroScan, European Network for Health Technology Assessment, HTAsiaLink, and Health Technology Assessment Network for the Americas are said to create networks. Ten different HTA organizations were considered in the analysis, including the Ministry of Health (MoH) organizations, universities, for-profit organizations, and hospitals. The Fruchterman-Reingold algorithm was used to perform networking, and the average clustering coefficient and average path length were examined to measure collaborative performance. The network graph of the HTA ecosystem shows the highest collaborative frequency among HTA organizations, which are the members of MoH organizations, government agencies, universities, and nonprofit organizations. The average path length was 2.21, and the average clustering coefficient was 36.57, indicating an obvious clustering effect. The study results highlight that networking within the HTA ecosystem is driven by government organizations. Boosting the integration of the private sector into the system and creating data-sharing strategies are essential to foster HTA collaboration. Because HTA is shaped by local dynamics and no gold standard exists for HTA implementation, encouraging collaborative efforts is the only way to avoid redundant efforts and make health technologies available for everyone.WOS:0004667634000062-s2.0-85062623471Emerging Sources Citation IndexArticleMartYÖK - 2018-1
VP182 Network Amongst The Health Technology Assessment Ecosystem
No full textINTRODUCTION:There has been a growing interest in international collaboration among Health Technology Assessment (HTA) organizations on macro, meso, and micro policy-making levels. Global member-driven professional HTA societies make contributions to scientific improvement and enhance interactions in the HTA ecosystem. However, little is known about collaboration between HTA organizations at the global level. This study intends to examine the main drivers of network relationships of HTA organizations.METHODS:Social network analysis was used to ascertain the relationships between HTA organizations and to visualize the main drivers of collaboration. The total number of memberships of the HTA organizations of the International Society For Pharmacoeconomics and Outcomes Research (ISPOR), Health Technology Assessment International (HTAi), International Netowork of Agencies for HTA (INAHTA), EuroScan, European Network for HTA (EUnetHTA), HTAsiaLink, Red de Evaluación de Tecnologías en Salud de las Américas (RedETSA) were considered to create the network. Ten different types of HTA organizations were considered in the analysis including the Ministry of Health (MoH), university, for-profit, and hospitals. The Fruchterman-Reingold algorithm was used to perform network analysis; average clustering coefficient and average path length were examined to measure collaborative performance.RESULTS:A network graph of the HTA ecosystem shows the highest collaborative frequency in terms of HTA organizations, occurred with members of the Ministry of Health, government agencies, universities, and non-profit organizations. The average path length was 2.21 and the average clustering coefficient was 36.576 which indicates an obvious clustering effect.CONCLUSIONS:These study results highlight that the network throughout the HTA ecosystem is driven by government organizations. Integrating the private sector into the system, creating common information and data sharing strategies, and improving the number of internationally experienced HTA professionals are essential strategies to foster collaboration in HTA organizations. As HTA is shaped by local dynamics and there is no gold standard for HTA implementation, encouragement of collaborative efforts is the only way to prevent duplication of effort and to make health technologies available for everyone.</jats:sec
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