Scientific Program

Conference Series Ltd invites all the participants across the globe to attend 10th World Congress on Healthcare & Technologies Lisbon, Portugal.

Day 1 :

Keynote Forum

Giuseppe Borgherini

Parco dei Tigli Psychiatric Clinic | Italy

Keynote: Mobile apps reduce costs and improve outcomes of bipolar disorder: Illusion or reality?

Time : 09:00-09:40

OMICS International Healthcare Summit 2017 International Conference Keynote Speaker Giuseppe Borgherini photo
Biography:

Giuseppe Borgherini graduated in Medicine and Surgery in 1986, he specialized in Psychiatry at the University of Padua in 1990 and holds a Ph.D. in Psychiatric Sciences at the University of Verona, 1994. He also won the European Erasmus Certificate in anxiety disorders attending internships at the University of Maastricht and Oxford in 1991 and the same year he received a research grant from Martino Arrigoni Foundation for a study on the psychological aspects of heart transplantation in childhood during 1991. From 1994 to 2011 he held a number of positions as a Professor in the graduate schools in psychiatry, internal medicine, clinical psychology, sports psychology, as well as in the residential school psychodynamic psychotherapies, University of Padua. In the same years he managed the inter-university research collaborations, in par­ticular with the London Maudsley Hospital and the Department of Psychiatry University of Geneve, in addition to having led health research projects aimed for the Veneto Region. He is currently a member of the Mental Health Commission of the Veneto Region and the National Commission for psychiatry of Italian Association of Private Hospitals (AIOP), which is also the regional manager for the Veneto. Among the authors of the Italian Treaty of Psychiatry, he has to his credit about 170 publications in national and international journals.

Abstract:

Bipolar disorder (BD) is a mental illness which affects 2.7 % of population worldwide and can have devasting effects on individual health including alcoholism, drug abuse and suicide.

Treatment adherence is a frequent problem in BD (60 % of bipolar is not adherent to medications), causing poor quality of life, high morbidity and mortality. This aspect is consistently predictive of a number of negative outcomes in bipolar samples, and the discontinuation of mood stabilizers places these patients at high risk for relapse. With continued increases in smartphone ownership (4.4 bilioni nel 2017), researchers and clinicians are investigating the use of this technology to enhance the management of chronic illnesses such as (BD). Smartphones can be used to deliver interventions and psychoeducation, supplement treatment, and enhance therapeutic reach in BD, as apps are cost-effective, accessible, anonymous, and convenient. While the evidence-based development of BD apps is in its infancy, there has been an explosion of publicly available apps. However, the opportunity for mHealth to assist in the self-management of BD is only feasible if apps are of appropriate quality. In its Mental Health Action Plan 2013–2020, the WHO recommended “the promotion of self-care, for instance, through the use of electronic and mobile health technologies.” And the UK National Health Service (NHS) website NHS Choices carries a short list of online mental-health resources, including a few apps, that it has formally endorsed. The evidence supporting the use of such apps is building. A 2013 review identified more than 1,500 depression-related apps in commercial app stores but just 32 published research papers on the subject. Other shadow on app use in BD regards data protection and accurate scientific information often neglected. Recently a smartphone app that monitors subtle qualities of a person's voice during everyday phone conversations shows promise for detecting early signs of mood changes in people with bipolar disorder, a University of Michigan team reports. Another intriguing study was more recently performed by Prof. Vieta at Barcelona University with the aim to develop and validate a smartphone application to monitor symptoms and signs and empower the self-management of bipolar disorder, offering customized embedded psychoeducation contents, in order to identify early symptoms and prevent relapses and hospitalizations.

Break: Networking & Refreshment Break 11:05-11:25 @ Foyer

Keynote Forum

Leonor Varela Lema

AVALIA-T – Galician Agency for Health Technology Assessment | Spain

Keynote: Priority setting of health interventions: Comprehensive review of criteria, approaches and role of health technology assessment agencies

Time : 09:40-10:20

OMICS International Healthcare Summit 2017 International Conference Keynote Speaker Leonor Varela Lema photo
Biography:

Leonor Varela is a senior officer in the Health Technology Assessment Department (avalia-t) of the Galician Knowledge Assessment Agency, based in Spain. She has a 15 years background in Health Technology Assessment and recognized experience at the national and international level. During her career she has published and lectured extensively on topics related to HTA and health care decision making, and has done exhaustive research in this field. Currently, she holds the position of International Project Manager in avalia-t, and leads two activity centre departments in the on-going European Network for Health Technology Assessment (EUnetHTA) JA3 EU-funded project, which focus on HTA Joint Production and generation of cross border post-launch evidence for medical devices. She is an active member of the International Network of agencies for HTA (INAHTA) and the Health Technology International (HTAi), being the coordinator of the Adaptation of the Spanish INAHTA-HTAi glossary.

Abstract:

Statement of the Problem: Rationalizing healthcare resources constitutes a fundamental challenge to all health care systems. The current work, Commissioned by the Spanish Ministry of Health, was carried out with the purpose of developing an explicit priority setting methodology to support decision making regarding the technologies to be assessed for inclusion in the Spanish NHS service portfolio.

Methodology & Theoretical Orientation: The main aim of the work was to identify and analyse the criteria, approaches and conceptual frameworks used for priority setting internationally which could serve as basis for the development of the national priority-setting framework. For this purpose, a systematic search of the main biomedical electronic databases was performed and additional sources such as web pages of international health technology assessment agencies consulted.

Findings: In general terms, it was found that there are no standardised processes for priority setting, although some consensus and common trends have been identified regarding key elements (criteria, models and strategies, key actors, etc.). Globally, 8 key domain were identified: 1) Need for intervention; 2) Outcomes of intervention; 3) Type of benefit; 4) Economic consequences; 5) Existing knowledge/quality of evidence and uncertainties; 6) Implementation complexity/feasibility; 7) Priority, justice and equity and 8) Context. HTA agencies that were directly involved in supporting coverage decision making considered from 4-12 criteria.

Conclusion & Significance: The following work provides a thorough analysis of the relevant issues and offers recommendations regarding considerations for implementing successful HTA based prioritisation approaches. Findings are envisioned to be useful for different public organisations that are aiming to establish health care priorities.

Recent Publications

  1. Goetghebeur MM, Wagner M, Khoury H, et al. Bridging health technology assessment (HTA) and efficient health care decision making with multicriteria decision analysis (MCDA): applying the EVIDEM framework to medicines appraisal. Med Decis Making. 2012;32:376-88.
  2. Tanios N, Wagner M, Tony M, et al. Which criteria are considered in healthcare decisions? insights from an international survey of policy and clinical decision makers. Int J Technol Assess Health Care. 2013;29:456-65
  3. Devlin NJ, Sussex J. Incorporating multiple criteria in HTA. Methods and processes. London 2011
  4. Tromp N, Baltussen R. Mapping of multiple criteria for priority setting of health interventions: an aid for decision makers. BMC Health Serv Res. 2012;12:454
  5. Golan O, Hansen P, Kaplan G, et al. Health technology prioritization: which criteria for prioritizing new technologies and what are their relative weights? Health Policy. 2011;102:126-35

OMICS International Healthcare Summit 2017 International Conference Keynote Speaker Marko Kesti photo
Biography:

Marko Kesti works as an adjunct professor of Administrative Science in University of Lapland, Finland. Kesti completed his Ph.D. in 2012 and is now leading the research program dealing with human capital productivity. He has written several books at his research subject and is active in presenting research findings at conferences and seminars. Kesti is utilizing his research in helping organizations to analyze and improve their human capital performance. His analyzing tools and development methods are widely in use at Finnish business and municipal organizations.

Abstract:

Profit unit leader gets information from the scorecards like monthly revenue and profit. Leader will also follow workers working time distribution and maybe notice the employee well-being. Economy and time are usually measured and thus under the focus of controlling. Wellbeing is also one production factor that the leader has created influence. Fundamental leadership problem lies in the difficulty to reliably measure the employee wellbeing and understand its’ connection to work performance. There can be risk for conflicting information when profit reduce and leader thinks it can be improved by increasing time for work. If wellbeing decrease the performance reduces as well which cause more fuss and wasted time, in that case the time for work may increase but the effective working time reduces. Phenomenon seems to be too difficult to understand without practice based learning.

Leadership connection to work wellbeing and business performance is widely studied and the knowledge has increased along the scientific contribution. The paper will present new research findings; so called leadership DNA in game theoretic approach. It combines the economic rules and wellbeing connection to business performance, and also human behavior in game theoretic approach. The introduced Bayesian model will combine conflicting objectives in a learning game where optimal leadership behavior can be trained. Research indicates that learning game will lead to the behavior where competing objectives can be optimized.

Paper will illustrate that organization leadership is a Bayesian Stochastic Strategic Non-symmetric Signalling game. Practical game studies show that leaders can find Nash equilibrium where both employee wellbeing and business economy prosper in long term. To achieve this optimal equilibrium for success there are identified certain management qualities. These qualities are not so easy to acquire in reality but they can be learned through the leadership learning game.

 

Recent Publications

  1. Kesti, M., Leinonen, J. and Kesti, T. (2017). The Productive Leadership Game: From Theory to Game-Based Learning Supporting Public Entrepreneurship. In Lewandowski, M., Kożuch B. (ed.). Public Sector Entrepreneurship and the Integration of Innovative Business Models, IGI Global.
  2. Kesti, M., Leinonen, J. and Syväjärvi, A. (2016). A Multidisciplinary Critical Approach to Measure and Analyze Human Capital Productivity. In Russ, M. (ed.). Quantitative Multidisciplinary Approaches in Human Capital and Asset Management (pp 1-317). Hershey, PA: IGI Global. (1-22).
  3. Kesti, M. & Syväjärvi A. (2012). Human Resource Development Function to both Organizational Performance and Quality of Working Life, Journal of Global Business Review GBR Vol 2 No 1, Global Science and Technology Forum.
  4. Hu, J. and Wellman, M., P. (1998). Multiagent Reinforcement Learning Theoretical Framework and an Algorithm. Articial Intelligence Laboratory, University of Michigan. USA.
  5. Smith, J., Q. (2010). Bayesian Decision Analysis: Principles and Practice. Cambridge University Press, New York, USA.