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The Effective Trends and Driving Forces in The Future of Research Performance Evaluation: A Qualitative Study.

Nadia Sani'eeLeila Nemati-AnarakiShahram SedghiAbdolreza Noroozi ChakoliSalime Goharinezhad
Published in: Medical journal of the Islamic Republic of Iran (2022)
Background: Performance is a multidimensional concept and is evaluated by different criteria. Definition and evaluation of research performance are always controversial and may be affected by variable conditions. Therefore, this study aimed to determine the effective trends and driving forces in the future of research performance evaluation. Methods: In this qualitative study, the trend analysis through scoping review and interview was done to identify the driving forces affecting the future of research performance evaluation. The scoping review was conducted according to PRISMA-ScR guidelines and searching of the international databases. The interviews were done face-to-face, by telephone, and on social media. MAXQDA version 10 and thematic analysis were used to analyze the interviews and documents. Results: In the scoping review step, a total of 6125 records were found through searching of the international databases and search engines. After removing 869 duplications, the title and abstract of 5256 records were screened. Finally, 42 records (41 English articles and 1 dissertation) were eligible for the study. In the interview step, 248 codes were assigned in nine main categories, 64 subcategories, and 47 dimensions. The trends included social (27 codes), technological (38 codes), economic (30 codes), environmental (5 codes), and political (44 codes) dimensions. Then, acquired information from two steps was synthesized, and the effective social, technological, economic, environmental, and political trends and driving forces were identified. Conclusion: The results showed that various social, technological, economic, environmental, and political factors and indicators must be included and normalized in the national and international research performance evaluation system.
Keyphrases
  • social media
  • healthcare
  • mental health
  • life cycle
  • current status
  • health information
  • randomized controlled trial
  • human health
  • machine learning
  • clinical practice
  • artificial intelligence
  • clinical evaluation