Analysis of the latent profiles and influencing factors of subjective economic toxicity in chronic patients

Objective To explore the potential types of subjective economic toxicity in patients with chronic diseases and to analyze the influencing factors of different potential categories, to provide a reference for the implementation of targeted interventions.Methods From February to March 2024, patients with chronic diseases hospitalized in Zhuzhou Central Hospital were selected by convenience sampling method, and the data were collected using demographic data, a disease- related data questionnaire, and chronic disease economic toxicity questionnaire. Latent profile analysis, univariate analysis and multinomial Logistic regression analysis were used to determine different profiles and their influencing factors.Results A total of 407 chronic patients were included. The subjective economic toxicity score of patients with chronic diseases was (5.29±1.92), and the economic toxicity could be divided into three potential profiles: low economic toxicity group (41.28%), moderate economic toxicity group (44.47%), and high economic toxicity group (14.25%). The results of Logistic regression analysis showed that age, occupation, annual family income, education level, access to health knowledge, and self-care ability were the influencing factors of the potential profile of economic toxicity in patients with chronic diseases (all P