Study on the Impact of Medical Risk Perception on Clinical Treatment Decision-making in Preoperative Patients with Malignant Tumors / 中国医学伦理学

ABSTRACT

【Objective:】 To understand the current status and related impacts of medical risk perception and treatment decision-making in preoperative patients with malignant tumors. 【Methods:】 The 350 malignant tumor patients who were hospitalized for surgical treatment in two tertiary hospitals in Liaoning Province were selected. The general information questionnaire, medical risk perception questionnaire, and participation in treatment decision-making questionnaire were used as survey tools. SPSS26.0 software, data statistical methods such as the Kappa test and multiple linear regression were used to analyze valid data. 【Results:】 Among the 350 subjects, the mean scores of the actual level of participation in treatment decision-making and attitude towards participation in treatment decision-making were(1.75±0.50) and(1.56±0.52), respectively, and the consistency between them was poor(Kappa=0.134, P<0.001). The total score of medical risk perception in preoperative patients with malignant tumors was(57.13±16.2). The results of multiple linear regression analysis showed that the actual degree of patient participation in treatment decision-making was influenced by the experience of surgical treatment(β=-1.744, P<0.05), economic risk in medical risk perception(β=0.478, P<0.05), and time risk (β=0.478, P<0.05). Economic risk in medical risk perception(β=0.043, P<0.05), time risk (β=0.646, P<0.05), and psychological risk(β=-0.329, P<0.05) were the influencing factors of patients’ attitude towards participating in treatment decision-making. 【Conclusion:】 Medical professionals should pay more attention to the influence of medical risk perception of malignant tumor patients on treatment decision-making. Malignant tumor patients should fully exercise their right to choose treatment plans independently, and jointly improve the actual level and attitude of the group when participating in treatment decision-making.