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The long process by which HTA became a paradigm: A longitudinal conceptual structure analysis

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  • Belfiore, Alessandra
  • Scaletti, Alessandro
  • Lavorato, Domenica
  • Cuccurullo, Corrado

Abstract

This study maps the conceptual structure of health technology assessment (HTA) research with the aim of contributing to a better understanding of this research stream. A bibliometric analysis of 1,198 HTA articles retrieved from the Web of Science database was conducted. The analysis of descriptive performance indicators identified the main traits of the scientific debate about the HTA in terms of publications, productive countries, and sources. A co-word analysis was performed by adopting social network analysis tools to map the conceptual structure of the dataset. The results highlight the growing academic interest in the research topic, especially in recent years. The results revealed that HTA is a widely known term and represents the reference paradigm for assessment in healthcare technologies. This paper contributes to the field by providing an examination of the current state of the art of HTA research and identifying possible future research directions. This study differs from existing studies because it involved a conceptual analysis of the scientific literature using macro keywords.

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  • Belfiore, Alessandra & Scaletti, Alessandro & Lavorato, Domenica & Cuccurullo, Corrado, 2023. "The long process by which HTA became a paradigm: A longitudinal conceptual structure analysis," Health Policy, Elsevier, vol. 127(C), pages 74-79.
    • Handle: RePEc:eee:hepoli:v:127:y:2023:i:c:p:74-79
    DOI: 10.1016/j.healthpol.2022.12.006
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    References listed on IDEAS

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    1. Aria, Massimo & Cuccurullo, Corrado, 2017. "bibliometrix: An R-tool for comprehensive science mapping analysis," Journal of Informetrics, Elsevier, vol. 11(4), pages 959-975.
    2. Fetscherin, Marc & Voss, Hinrich & Gugler, Philippe, 2010. "30 Years of foreign direct investment to China: An interdisciplinary literature review," International Business Review, Elsevier, vol. 19(3), pages 235-246, June.
    3. Baines, Darrin & Disegna, Marta & Hartwell, Christopher A., 2021. "Portfolio frontier analysis: Applying mean-variance analysis to health technology assessment for health systems under pressure," Social Science & Medicine, Elsevier, vol. 276(C).
    4. Corrado Cuccurullo & Massimo Aria & Fabrizia Sarto, 2016. "Foundations and trends in performance management. A twenty-five years bibliometric analysis in business and public administration domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 595-611, August.
    5. Cyril Benoit & Philippe Gorry, 2017. "Health Technology Assessment: The Scientific Career of a Policy Concept," Post-Print hal-02880070, HAL.
    6. Banta, David, 2003. "The development of health technology assessment," Health Policy, Elsevier, vol. 63(2), pages 121-132, February.
    7. Paula K. Lorgelly & Amanda Adler, 2020. "Impact of a Global Pandemic on Health Technology Assessment," Applied Health Economics and Health Policy, Springer, vol. 18(3), pages 339-343, June.
    8. Alan Brennan & Stephen E. Chick & Ruth Davies, 2006. "A taxonomy of model structures for economic evaluation of health technologies," Health Economics, John Wiley & Sons, Ltd., vol. 15(12), pages 1295-1310, December.
    9. Sorenson, Corinna & Chalkidou, Kalipso, 2012. "Reflections on the evolution of health technology assessment in Europe," Health Economics, Policy and Law, Cambridge University Press, vol. 7(1), pages 25-45, January.
    10. Karl Claxton & Mark Sculpher & Chris McCabe & Andrew Briggs & Ron Akehurst & Martin Buxton & John Brazier & Tony O'Hagan, 2005. "Probabilistic sensitivity analysis for NICE technology assessment: not an optional extra," Health Economics, John Wiley & Sons, Ltd., vol. 14(4), pages 339-347, April.
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