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Exploring research impact models: A systematic scoping review
[AsseCssment of the Impact of a Clinical and Health Services Research Call in Catalonia]

Author

Listed:
  • Maryam Razmgir
  • Sirous Panahi
  • Leila Ghalichi
  • Seyed Ali Javad Mousavi
  • Shahram Sedghi

Abstract

This article explores the models and frameworks developed on “research impact’. We aim to provide a comprehensive overview of related literature through scoping study method. The present research investigates the nature, objectives, approaches, and other main attributes of the research impact models. It examines to analyze and classify models based on their characteristics. Forty-seven studies and 10 reviews published between 1996 and 2020 were included in the analysis. The majority of models were developed for the impact assessment and evaluation purposes. We identified three approaches in the models, namely outcome-based, process-based, and those utilized both of them, among which the outcome-based approach was the most frequently used by impact models and evaluation was considered as the main objective of this group. The process-based ones were mainly adapted from the W.K. Kellogg Foundation logic model and were potentially eligible for impact improvement. We highlighted the scope of processes and other specific features for the recent models. Given the benefits of the process-based approach in enhancing and accelerating the research impact, it is important to consider such approach in the development of impact models. Effective interaction between researchers and stakeholders, knowledge translation, and evidence synthesis are the other possible driving forces contributing to achieve and improve impact.

Suggested Citation

  • Maryam Razmgir & Sirous Panahi & Leila Ghalichi & Seyed Ali Javad Mousavi & Shahram Sedghi, 2021. "Exploring research impact models: A systematic scoping review [AsseCssment of the Impact of a Clinical and Health Services Research Call in Catalonia]," Research Evaluation, Oxford University Press, vol. 30(4), pages 443-457.
  • Handle: RePEc:oup:rseval:v:30:y:2021:i:4:p:443-457.
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    File URL: http://hdl.handle.net/10.1093/reseval/rvab009
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    Citations

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    Cited by:

    1. Melinda Craike & Bojana Klepac & Amy Mowle & Therese Riley, 2023. "Theory of systems change: An initial, middle-range theory of public health research impact," Research Evaluation, Oxford University Press, vol. 32(3), pages 603-621.
    2. Ohid Yaqub & Dmitry Malkov & Josh Siepel, 2023. "How unpredictable is research impact? Evidence from the UK’s Research Excellence Framework," Research Evaluation, Oxford University Press, vol. 32(2), pages 273-285.

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