IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v157y2023ics0148296322010906.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296322010906
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jbusres.2022.113625?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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).
    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)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rhaiem, Khalil & Halilem, Norrin, 2023. "The worst is not to fail, but to fail to learn from failure: A multi-method empirical validation of learning from innovation failure," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    2. Yuen, Kum Fai & Wang, Xueqin & Ma, Fei & Wong, Yiik Diew, 2019. "The determinants of customers’ intention to use smart lockers for last-mile deliveries," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 316-326.
    3. Enrique de Diego Ruiz & Paloma Almodóvar & Ignacio Danvila del Valle, 2023. "What drives strategic agility? Evidence from a fuzzy-set qualitative comparative analysis (FsQCA)," International Entrepreneurship and Management Journal, Springer, vol. 19(2), pages 599-627, June.
    4. Noemí Pérez-Macías & Cayetano Medina-Molina & José L. Fernández-Fernández, 2024. "To be or not to be… an entrepreneur. The existence and non-existence of entrepreneurial intention in people with disabilities through qualitative comparative analysis," International Entrepreneurship and Management Journal, Springer, vol. 20(3), pages 1759-1822, September.
    5. George Bogdan Drăgan & Andrei Alexandru Panait & George Cristian Schin, 2022. "Tracking precursors of entrepreneurial intention: the case of researchers involved in eco-label industry," International Entrepreneurship and Management Journal, Springer, vol. 18(4), pages 1605-1622, December.
    6. Yoshida, Masayuki & James, Jeffrey D. & Cronin, J. Joseph, 2013. "Sport event innovativeness: Conceptualization, measurement, and its impact on consumer behavior," Sport Management Review, Elsevier, vol. 16(1), pages 68-84.
    7. Sohn, Stefanie, 2017. "A contextual perspective on consumers' perceived usefulness: The case of mobile online shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 38(C), pages 22-33.
    8. Adrian Micu & Alexandru Capatina & Angela-Eliza Micu & Robert Rusu & Constantin Avram, 2019. "Configurations of Causal Conditions Leading to Geotagged Image and Social Context Recognition in the Case of AI Media Platform," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 479-486.
    9. Tom Brandsma & Jol Stoffers & Ilse Schrijver, 2020. "Advanced Technology Use by Care Professionals," IJERPH, MDPI, vol. 17(3), pages 1-16, January.
    10. Chen, Chien-fei & Nelson, Hannah & Xu, Xiaojing & Bonilla, Gregory & Jones, Nicholas, 2021. "Beyond technology adoption: Examining home energy management systems, energy burdens and climate change perceptions during COVID-19 pandemic," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    11. Geoff Boeing, 2020. "Online rental housing market representation and the digital reproduction of urban inequality," Environment and Planning A, , vol. 52(2), pages 449-468, March.
    12. Andriosopoulos, Kostas & Bigerna, Simona & Bollino, Carlo Andrea & Micheli, Silvia, 2018. "The impact of age on Italian consumers' attitude toward alternative fuel vehicles," Renewable Energy, Elsevier, vol. 119(C), pages 299-308.
    13. Yan Zhang & Jiekuan Zhang, 2023. "Revisiting Tourism Development and Economic Growth: A Framework for Configurational Analysis in Chinese Cities," Sustainability, MDPI, vol. 15(13), pages 1-20, June.
    14. Duarte, Paulo & Costa e Silva, Susana & Ferreira, Margarida Bernardo, 2018. "How convenient is it? Delivering online shopping convenience to enhance customer satisfaction and encourage e-WOM," Journal of Retailing and Consumer Services, Elsevier, vol. 44(C), pages 161-169.
    15. Odou, Philippe & Schill, Marie, 2020. "How anticipated emotions shape behavioral intentions to fight climate change," Journal of Business Research, Elsevier, vol. 121(C), pages 243-253.
    16. Anh Thi Nguyen & Alrence S. Halibas & Robert McClelland & Nguyen Hoang Thuan, 2024. "Configurational analysis of conditions influencing customers’ channel switching intention in omnichannel retailing: a fuzzy-set analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(1), pages 141-178, February.
    17. Nathalie Gröfke & Valérie Duplat & Christopher Wickert & Brian Tjemkes, 2021. "A Multi-Stakeholder Perspective on Food Labelling for Environmental Sustainability: Attitudes, Perceived Barriers, and Solution Approaches towards the “Traffic Light Index”," Sustainability, MDPI, vol. 13(2), pages 1-23, January.
    18. McSweeney, Jordan J. & McSweeney, Kevin T. & Webb, Justin W. & Devers, Cynthia E., 2022. "The right touch of pitch assertiveness: Examining entrepreneurs' gender and project category fit in crowdfunding," Journal of Business Venturing, Elsevier, vol. 37(4).
    19. Ozgen, Sibel & Lapeira, Maria & Pissaris, Seema, 2021. "I got this! resource bundles and adversity: A situated entrepreneurial optimism perspective," Journal of Business Research, Elsevier, vol. 136(C), pages 127-136.
    20. Lamberti, Giuseppe & Lopez-Sintas, Jordi & Sukphan, Jakkapong, 2021. "The social process of internet appropriation: Living in a digitally advanced country benefits less well-educated Europeans," Telecommunications Policy, Elsevier, vol. 45(1).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jbrese:v:157:y:2023:i:c:s0148296322010906. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.