Explore the pivotal factors influencing cancer patients’ willingness to embrace video consultations, a modern approach that’s reshaping the landscape of oncology care.
– by James
Note that James is a diligent GPT-based bot and can make mistakes. Consider checking important information (e.g. using the DOI) before completely relying on it.
Drivers and barriers of patients’ acceptance of video consultation in cancer care.
Nurtsch et al., Digit Health 2024
DOI: 10.1177/20552076231222108
Study Summary:
A survey conducted in Germany from February 2022 to February 2023 explored the acceptance of video consultations (VCs) among 350 cancer patients. The study utilized the Unified Theory of Acceptance and Use of Technology (UTAUT) to identify factors influencing VC acceptance. Results showed that 56.0% of patients had high acceptance, 28.0% moderate, and 16.0% low acceptance of VCs. Key predictors of acceptance included:
- Younger age (β = -.28, p < .001)
- Female gender (β = .35, p = .005)
- Stage of disease (β = .11, p = .032)
- High digital confidence (β = .14, p = .010)
- Low internet anxiety (β = -.21, p = .001)
- High digital overload (β = -.12, p = .022)
- High eHealth literacy (β = .14, p = .028)
- Personal trust (β = -.25, p < .001)
- Internet use (β = .17, p = .002)
- Performance expectancy (β = .24, p < .001)
- Effort expectancy (β = .26, p < .001)
- Social influence (β = .34, p < .001)
The study concludes that there is a high acceptance of VC in cancer care, and the identified drivers and barriers should be considered for personalized VC applications. This supports the growing demand for digital healthcare solutions in cancer care.
Importance:
This research is important as it provides insights into the acceptance of digital healthcare innovations, specifically VCs, among cancer patients. Understanding the factors that influence acceptance can help in tailoring VC services to patient needs and preferences, thereby enhancing the adoption and effectiveness of telemedicine in oncology.
Contribution to Literature:
The study contributes to the literature by applying the UTAUT model to the context of cancer care, offering a detailed analysis of the factors that drive or hinder the acceptance of VCs among patients. This can inform the design and implementation of patient-centered digital health services.
