Influencing Factors on Hospitalization Costs of 500 Patients with Non-small Cell Lung Cancer
Objectives This study aims to investigate the hospitalization expenses and influencing factors of 500 non-small cell lung cancer(NSCLC)patients in Jiangsu Province.Methods 500 NSCLC patients from 3 medical institutions in a certain city between January 1,2020 and January 31,2022 were randomly selected as the survey subjects.The clinical information of the research subjects and details of hospitalization expenses,as well as the level of hospitalization expenses of NSCLC patients and the composition of various expenses such as material expenses,drug expenses,and surgical expenses were collected.Multivariate Logistic regression model was used to analyze the influencing factors of hospitalization expenses of NSCLC patients.Results The average hospitalization cost of NSCLC patients was(7.04±1.83)yuan.Material expenses and medicine expenses accounted for the highest proportion of expenditures,accounting for 62.45％and 18.45％respectively.Hospitalization costs for patients aged ≥60 years and with NSCLC complications were significantly higher(P＜0.05).The hospitalization expenses of NSCLC patients at self-payment,surgical treatment,hospitalization days ≥ 30 days,tertiary hospitals,and cancer-specialized hospitals were significantly higher(P＜0.05).Independent risk factors for increased hospitalization expenses in NSCLC patients included age ≥60 years old,complications,self-payment,surgical treatment,hospitalization days ≥ 30 days,tertiary hospitals,and cancer specialty hospitals.Conclusions NSCLC patients have a high hospitalization cost,of which the main expenditure items are material cost and drug cost.Cost changes are affected by many factors.The optimal treatment plan should be selected based on comprehensive considerations such as age,payment method,complications,surgical plan,hospitalization status,etc.,which will help reduce the patient's hospitalization costs.
Malignant tumorNon-small cell lung cancerHospital expensesInfluencing factorsHospitalization days
NETL
NSTL
万方数据
维普
