VP32 Improving The Efficiency Of Early Awareness For Non-Drugs In Spain

Abstract

INTRODUCTION:Early awareness and alert systems (EAAS) try to anticipate the impact of new technologies in the healthcare systems. Spain, which has a decentralized health system with public provision and universal health coverage, has been a pioneer in establishing EAAS activities. From 2006 a network of regional agencies coordinated EAAS activities. Taking into account the individual agencies scarce resources and in order to improve efficiency, this collaboration decided to distribute tasks when identifying and early assessment of new and emerging health technologies. The aim was to inform the common benefit package of the Spanish public health system.METHODS:Four out of eight Spanish Health Technology Assessment (HTA) agencies had EAAS in Spain (AETS-Carlos III Institute; AETSA-Andalusia; Avalia-t-Galicia; Osteba-Basque Country). Each agency has taken care of different sources for the identification of new and emerging non-drug health technologies: industry and innovator contacts, health expert networks, mass media and EAAS databases. Members of the network used the same filtration criteria to reach the final list. The system will run in parallel to a biannual identification process in major databases.RESULTS:In 2016, the network identified and filtered sixty-three technologies: ten by mass media; five by health experts; thirty-five other EAAS and thirteen by direct contact with industry and innovators. Main represented specialties were: endocrinology (seven); gynecology and obstetrics (six); cardiology and cardiac surgery (five); emergency medicine (four); dermatology (three) and pneumology (three). Technologies were grouped by specialty in order to inform the different commissions that discuss inclusion in the Spanish Benefit Package. Specialty monographs will be published to inform stakeholders.CONCLUSIONS:The approach is feasible, and increases the capacity of individual agencies to address the needs of the national and regional systems by improving their efficiency. There is a need to previously define the methods and the criteria that will be used for the identification and filtration.