Comprehensive Needs Analysis For Health Technology Assessment Studies and Improvement Proposal

Year 2016, Volume: 1 Issue: 1, 69 - 76, 14.02.2016

Necla Ozturk Hakan Tozan , Özalp Vayvay

Abstract

Increase in chronic diseases prevalence, longer life expectancy, and improvements in science and engineering speed up the innovations in healthcare technology. In this study it is aimed to provide both a deep understanding in needs of recent health technology assessments and an improvement proposal for health technology assessments studies based on multi criteria decision making (MCDM). It is concluded that an integrated MCDM model is essential for satisfying the current needs of HTA studies.

Keywords

HTA, HTA needs, HTA users, MCDM for HTA

References

• Baltussen, R., & Niessen, L. (2006). Priority setting of health
• interventions: the need for multi-criteria decision analysis. Cost effectiveness and resource allocation, 4(1), 14.
• Banta, D., Oortwijn W. (2000). Health technology assessment and health care in the European Union. Int J Techol Assess Health Care. 16: 626-635.
• Banta, H.D., Luce, BR. (1993). Health Care Technology and Its Assessment: An International Perspective. New York, NY: Oxford University Press.
• Bauyomi, A.M., Krahn, M. (2012). The Future of Health Technology Assessment. Medical Decision Making. Jan-Feb.
• Busse R, Orvain J, Velasco M, et al. (2002). Best practice in undertaking and reporting health technology assessments. Working
• group 4 report. Int J Technol Assess Health Care.18:361-
• Daniels N, Sabin J. (1997). Limits to health care: fair procedures, democratic deliberation, and the legitimacy problem for insurers. Philos Public Aff, 26:303-350.
• Devlin N.J., Sussex, J. (2011). Incorporating Multiple Criteria in HTA, Office of Health Economics, UK, London.
• Dhalla I, Laupacis A (2008). Moving from opacity to transparency in pharmaceutical policy. CMAJ, 178:428-431.
• Diaby V, Laurier C, Lachaine J. (2011) A proposed framework for formulary listing in low-income countries: Incorporating key features from established drug benefit plans. Pharmaceut. Med. 25(2), 71–82.
• Diaby, V., Goeree, R. (2014). How to use multi-criteria decision analysis methods for reimbursement decision-making in healthcare: a step-by-step guide. Expert Rev. Phamacoecon. Outcomes Res. 14 (1), 81-99.
• Dolan J. G., (2010). Multi-criteria clinical decision support: A primer on the use of multinple criteria decision making methods to promote evicence based, patient centered healthcare. Patient, 3(4): 229–248. doi:10.2165/11539470-000000000-00000.
• Dolan, J. G. (2008). Shared decision-making–transferring
• research into practice: the Analytic Hierarchy Process (AHP). Patient education and counseling, 73(3), 418-425.
• EUnetHTA, www.eunethta.eu/about-us/faq#t287n73 , European Network for Health Technology Assessment, Open Source Web Site on “What is Health Technology Assessment” Latest Access Time for the website is 24th April 2016.
• Facey, K. (2008). Understanding Health Technology Assessment, Health Equality Europe.
• http://img.eurordis.org/newsletter/pdf/nov-2010/58-1%20HEE%20Guide%20To%20HTA%20for%20Patients%20English.pdf Latest Access Time for the website is 8th May 2016.
• Goodman, C.S. (2014). HTA 101: Introduction to Health Technology Assessment. Bethesda, MD: National Library of Medicine (US).
• HTAi, www.htai.org/index.php?id=428, Health Technology Assessment International, “What is HTA?”. Latest Access Time for the website is 24th April 2016.
• INAHTA, www.inahta.org/, The International Network of Agencies for Health Technology Assessment, “What is Health Technology Assessment (HTA)?”. Latest Access Time for the website is 24th April 2016.
• Johnson-Masotti A.P., Eva K. (2006). A decision-making framework for the prioritization of health technologies. In: Health Services Restructuring in Canada: New Evidence and New Directions. Beach CM, Chaykowski RP, Shortt S, St-Hilaire F, Sweetman A (Eds). John Deutsch Institute, Queen’s University, Kingston, ON, USA, 59–81.
• Karacan, I. (2015). A New Hybrid Decision Support Tool and an Application to Health Technology Selection, Master
• Thesis. Naval Science and Engineering Institute, Department of Operations Research, Turkish Naval Academy.
• Lampe K, Mäkelä M, Garrido MV, et al. (2009). European network for Health Technology Assessment (EUnetHTA). The HTA core model: a novel method for producing and reporting health technology assessments. Int J Technol Assess Health Care. 2009;25 Suppl 2:9-20.
• Ozturk, N. Tozan, H. (2015). A fuzzy based decision support model for selecting the best dialyser flux in Hemodialysis, Journal of Healthcare Engineering, Vol.6 No.3.
• Pasternack I, Anttila H, Makela M, et al. (2009) Testing the HTA Core Model: Experiences from two pilot projects. Int J Technol Assess Health Care. 2009;25(Suppl 2):21-27.
• Stephens, J.M. (2012). International survey of methods used in health technology assessment (HTA): does practice meet the principles proposed for good research? Comparative Effectiveness Research, 2, 29–44.
• Sullivan, S.D., Watkins, J., Sweet, B., Ramsey, D.S., (2009). Health Technology Assessment in Health-Care Decisions in the United States, Value in Health, 12, S. 2
• Thokala, P., & Duenas, A. (2012). Multiple criteria decision analysis for health technology assessment. Value in Health,
• (8), 1172-1181.
• Tony, M., Wagner M., Khoury, H., Rindress, D., Papastavros, T., Oh, P., Goetghebeur, M.M. (2011). Bridging health technology assessment (HTA) with multicriteria decision analyses (MCDA): field testing of the EVIDEM framework for coverage decisions by a public payer in Canada. BMC Health Services Research, 11: 329.
• UK NHS, www.nets.nihr.ac.uk/programmes/hta/remit, UK NHS National Institute for Health Research Health Technology Assessment Programme, Open Source Web Site on “About the HTA Programme”. Latest Access Time for the website is 24th April 2016.
• US Congress, Office of Technology Assessment. Protecting Privacy in Computerized Medical Information. Washington, DC: US Government Printing Office; 1993. Publisher free publication
• Velasco-Garrido, M., and Busse, R. (2005) Health technology assessment: an introduction to objectives, role of evidence, and structure in Europe. Copenhagen, World Health Organization Regional Office for Europe, on behalf of the European Observatory
• on Health Systems and Policies.
• WHO (2011). Health technology assessment of medical devices, WHO Medical device technical series, Geneva, Switzerland.
• WHO, www.who.int/medical_devices/assessment/en/, World Health Organization, Open Source Web Site on “Health Technology Assessment” Latest Access Time for the website is 24th April 2016.
• Wahlster, P., Mireille Goetghebeur, Christine Kriza, Charlotte Niederländer, Peter Kolominsky-Rabas. (2015). Balancing costs and benefits at different stages of medical innovation: a systematic review of Multi-criteria decision analysis (MCDA). BMC Health Serv Res., 15, 262.