AI-driven multidimensional self-efficacy nursing care:a clinical study on improving the coping styles and treatment adherence in lung cancer patients with chemotherapy-induced myelosuppression
FU Jianghong
LI Siqin
WANG Yu
NIU Niu
NING Yanting
Abstract:Objective To investigate the effects of artificial intelligence(AI)-assisted multidimensional self-efficacy improving nursing care on coping styles,self-efficacy,and treatment adherence in lung cancer patients with chemotherapy-induced myelosuppression.Methods A total of 68 lung cancer patients with chemotherapy-induced myelosuppression,who were admitted to Cancer Hospital Chinese Academy of Medical Sciences,Shenzhen,were recruited and divided into observation group and control group by using random number table method,with 34 patients in each group.The control group received routine nursing care related to myelosuppression,while the observation group received the same routine nursing care as the control group plus AI-assisted multidimensional self-efficacy improving nursing care.The AI tools were mainly used for the patients'risk stratification and nursing decision support.Before and after the intervention,the Simple Coping Style Questionnaire(SCSQ)and the General Self-Efficacy Scale(GSES)were used to evaluate the coping styles and self-efficacy levels of the patients,and the treatment adherence was compared between the patients in the two groups.Results After the intervention,the SCSQ-positive coping style scores and GSES scores in the observation group were higher than those in the control group,while the SCSQ-negative coping style scores in the observation group were lower than those in the control group,with statistically significant differences between the two groups(P<0.05).The complete adherence rate of the treatment in the observation group was higher than that in the control group,with statistically significant difference between the two groups(P<0.05).Conclusion AI-assisted multidimensional self-efficacy improving nursing care is conducive to improving the coping styles and self-efficacy levels in lung cancer patients with chemotherapy-induced myelosuppression,and enhances the patients'treatment adherence.
Keywords:Artificial intelligence(AI)Lung cancerMyelosuppressionSelf-efficacyNursing interventionArtificial intelligence-assisted nursing careChemotherapy
Publication Date:2026-01-30
Online Publishing Date:2026-03-13(First online date of this platform, not the publication date of the document)
Pages:6( 12-17 )
Chinese Journal of New Clinical Medicine

Chinese Journal of New Clinical Medicine

ISTIC
ISSN:1674-3806
Year, Vol.(Issue):2026,19(1)