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The relationship between patient activation measure and use of complementary and alternative medicine in oncology
Julia Falkenried1, Emadaldin Ahmadi1, Karina Davitian1
1Internal Medicine II, Universitätsklinikum Jena, Jena, Germany.
Background:
Complementary and alternative medicine (CAM) is increasingly utilized by cancer patients seeking additional ways to manage their health. Understanding how patient activation influences CAM usage and interest can guide more effective patient-centered care approaches.
Objectives:
This study aims to explore the relationship between patient activation and the utilization and interest in CAM among cancer patients, employing both linear and non-linear regression analyses to assess these dynamics.
Methods:
A total of 195 cancer patients completed an online survey assessing their level of patient activation, CAM usage, and interest in CAM. Data were analyzed using linear and non-linear regression models to examine the effects of patient activation on CAM usage and interest.
Results:
There were only weak associations found between patient activation, CAM use, and interest in CAM, and the discovered relationships were curvilinear with low explanatory and predictive values. Linear regression analysis revealed a very small and non-significant relationship between patient activation and CAM use (R² = .013), whereas a small but significant positive relationship was found between patient activation and interest in CAM (R² = .025). Non-linear regression analysis revealed a curvilinear relationship between patient activation and CAM use, which tended to increase at lower to moderate levels of patient activation and then decreased at higher levels (R² = .044).
Conclusions:
The findings suggest that the relationship between patient activation and CAM usage among cancer patients is complex and non-linear. Future studies should utilize larger, more representative samples and apply multivariable methods to gain a deeper understanding of the factors influencing CAM-related decision-making in oncology populations.
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