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Breast cancer risk prediction models’ adoption by Canadian providers - an in-depth qualitative comparative analysis

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  • Jolyane, Blouin-Bougie
  • Nabil, Amara

Abstract

The use of risk prediction models (RPMs) for breast cancer (BC) is expected to increase in the near future and is essential for BC risk stratification, which makes it crucial to better understand their adoption. To identify the conditions that impact the use of BC RPMs by Canadian healthcare professionals (HPs), a database of the clinical activities of 176 providers was used to perform statistical bivariate tests and qualitative comparative analysis. The results showed that training in BC genetics is essential for the use of BC RPMs, the proximity of genetic services is a relevant factor for users, and extended clinical experience impedes the use of such models. To increase the use of BC RPMs, two main solutions have emerged: targeting non-users and offering them training and more opportunities for inter-professional collaborations, and targeting experienced HPs with tools that provide them with a significant added value over the risk calculation.

Suggested Citation

  • Jolyane, Blouin-Bougie & Nabil, Amara, 2023. "Breast cancer risk prediction models’ adoption by Canadian providers - an in-depth qualitative comparative analysis," Journal of Business Research, Elsevier, vol. 157(C).
    • Handle: RePEc:eee:jbrese:v:157:y:2023:i:c:s0148296322010906
    DOI: 10.1016/j.jbusres.2022.113625
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    1. Jessica Alzamora-Ruiz & María Fuentes-Fuentes & Myriam Martinez-Fiestas, 2021. "Together or separately? Direct and synergistic effects of Effectuation and Causation on innovation in technology-based SMEs," International Entrepreneurship and Management Journal, Springer, vol. 17(4), pages 1917-1943, December.
    2. Douglas, Evan J. & Shepherd, Dean A. & Prentice, Catherine, 2020. "Using fuzzy-set qualitative comparative analysis for a finer-grained understanding of entrepreneurship," Journal of Business Venturing, Elsevier, vol. 35(1).
    3. Porter, Constance Elise & Donthu, Naveen, 2006. "Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics," Journal of Business Research, Elsevier, vol. 59(9), pages 999-1007, September.
    4. Hamed Vahdat-Nejad & Shaghayegh Ostadi Eilaki & Shaghayegh Izadpanah, 2018. "Towards a Better Understanding of Ubiquitous Cloud Computing," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 8(1), pages 1-20, January.
    5. Naoual El Aboudi & Laila Benhlima, 2017. "Parallel and Distributed Population based Feature Selection Framework for Health Monitoring," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 7(1), pages 57-71, January.
    6. Pappas, Ilias O. & Kourouthanassis, Panos E. & Giannakos, Michail N. & Chrissikopoulos, Vassilios, 2016. "Explaining online shopping behavior with fsQCA: The role of cognitive and affective perceptions," Journal of Business Research, Elsevier, vol. 69(2), pages 794-803.
    7. Souiden, Nizar & Amara, Nabil & Chaouali, Walid, 2020. "Optimal image mix cues and their impacts on consumers’ purchase intention," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    Full references (including those not matched with items on IDEAS)

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