| Objective To establish and validate a model for individualized prediction of medication compliance in patients with chronic hepatitis B. Methods A total of 235 patients with chronic hepatitis B treated in outpatient department of our hospital from November 2019 to April 2021 were selected as the research objects. The clinical data of patients were collected, the influencing factors of medication compliance were analyzed by single factor and Logistic regression, and the relevant nomogram model was established. Results Age ≥60 years, low education level, failure of regular follow-up visits in the same clinic, no health education on hepatitis B medication, self-payment for medical cost, ≥3 drugs administered and presence of adverse drug reactions were the risk factors for poor medication compliance of patients with chronic hepatitis B (P＜0.05). The results of nomogram model validation showed that the C-index of the training set and the validation set were 0.811 (95%CI: 0.787-0.833) and 0.802 (95%CI: 0.781-0.822), respectively. The calibration curve was close to the ideal curve. The AUC of the ROC curve was 0.830 (95%CI: 0.804-0.872) and 0.816 (95%CI: 0.797-0.834), respectively. Conclusions Age ≥60 years, low education level, failure of regular follow-up visits in the same clinic, no health education on hepatitis B medication, self-payment for medical cost, ≥3 drugs administered and presence of adverse drug reactions are the risk factors closely related to poor medication compliance in patients with chronic hepatitis B. Accordingly, the established nomogram model can effectively predict the risk of poor medication compliance in patients with chronic hepatitis B, which is of great significance for improving the compliance behavior of patients with chronic hepatitis B and enhancing the treatment effect. |