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Measuring research in the big data era: The evolution of performance measurement systems in the Italian teaching hospitals

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  • Horenberg, Frank
  • Lungu, Daniel Adrian
  • Nuti, Sabina

Abstract

In the healthcare system, Teaching Hospitals(THs) not only provide care, but also train healthcare professionals and carry out research activities. Research is a fundamental pillar of THs’ mission and relevant for the healthcare system monitored by Performance Evaluation Systems. Research activities can be measured using citation index services and this paper highlights differences between two services based on bibliometrics, describes opportunities and risks when performance indicators rely on data collected, controlled and validated by external services and discusses the possible impact on health policy at a system and provider level.

Suggested Citation

  • Horenberg, Frank & Lungu, Daniel Adrian & Nuti, Sabina, 2020. "Measuring research in the big data era: The evolution of performance measurement systems in the Italian teaching hospitals," Health Policy, Elsevier, vol. 124(12), pages 1387-1394.
    • Handle: RePEc:eee:hepoli:v:124:y:2020:i:12:p:1387-1394
    DOI: 10.1016/j.healthpol.2020.10.002
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    1. William M. Cockriel & James B. McDonald, 2018. "The influence of dispersion on journal impact measures," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 609-622, July.
    2. Todd Dewett & Angelo S. Denisi, 2004. "Exploring scholarly reputation: It's more than just productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(2), pages 249-272, June.
    3. Giovanni Abramo & Ciriaco Andrea D’Angelo, 2014. "How do you define and measure research productivity?," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1129-1144, November.
    4. Mutz, Rüdiger & Daniel, Hans-Dieter, 2012. "Skewed citation distributions and bias factors: Solutions to two core problems with the journal impact factor," Journal of Informetrics, Elsevier, vol. 6(2), pages 169-176.
    5. Vinay Prasad & Jeffrey A Goldstein, 2014. "US News and World Report Cancer Hospital Rankings: Do They Reflect Measures of Research Productivity?," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-6, September.
    6. Christoph Bartneck & Servaas Kokkelmans, 2011. "Detecting h-index manipulation through self-citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(1), pages 85-98, April.
    7. Gwyn Bevan & Deborah Wilson, 2013. "Does ‘naming and shaming’ work for schools and hospitals? Lessons from natural experiments following devolution in England and Wales," Public Money & Management, Taylor & Francis Journals, vol. 33(4), pages 245-252, July.
    8. Éric Archambault & David Campbell & Yves Gingras & Vincent Larivière, 2009. "Comparing bibliometric statistics obtained from the Web of Science and Scopus," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(7), pages 1320-1326, July.
    9. Vainieri, Milena & Vola, Federico & Gomez Soriano, Gregorio & Nuti, Sabina, 2016. "How to set challenging goals and conduct fair evaluation in regional public health systems. Insights from Valencia and Tuscany Regions," Health Policy, Elsevier, vol. 120(11), pages 1270-1278.
    10. Milena Vainieri & Daniel Adrian Lungu & Sabina Nuti, 2018. "Insights on the effectiveness of reward schemes from 10‐year longitudinal case studies in 2 Italian regions," International Journal of Health Planning and Management, Wiley Blackwell, vol. 33(2), pages 474-484, April.
    11. Per O. Seglen, 1992. "The skewness of science," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 43(9), pages 628-638, October.
    12. Bevan, Gwyn & Evans, Alice & Nuti, Sabina, 2019. "Reputations count: why benchmarking performance is improving health care across the world," Health Economics, Policy and Law, Cambridge University Press, vol. 14(2), pages 141-161, April.
    13. Emilio Delgado López-Cózar & Nicolás Robinson-García & Daniel Torres-Salinas, 2014. "The Google scholar experiment: How to index false papers and manipulate bibliometric indicators," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(3), pages 446-454, March.
    14. Nuti, Sabina & Vola, Federico & Bonini, Anna & Vainieri, Milena, 2016. "Making governance work in the health care sector: evidence from a ‘natural experiment’ in Italy," Health Economics, Policy and Law, Cambridge University Press, vol. 11(1), pages 17-38, January.
    15. Franceschini, Fiorenzo & Maisano, Domenico & Mastrogiacomo, Luca, 2016. "The museum of errors/horrors in Scopus," Journal of Informetrics, Elsevier, vol. 10(1), pages 174-182.
    16. Franceschini, Fiorenzo & Maisano, Domenico & Mastrogiacomo, Luca, 2016. "Empirical analysis and classification of database errors in Scopus and Web of Science," Journal of Informetrics, Elsevier, vol. 10(4), pages 933-953.
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    2. Eugenio Petrovich, 2022. "Bibliometrics in Press. Representations and uses of bibliometric indicators in the Italian daily newspapers," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2195-2233, May.

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