Objective Based on polynomial logistic regression model,this study aimed to analyze the optimal length of hospi-tal stay for patients with non-small cell lung cancer(NSCLC)at different stages to achieve the best treatment quality,providing refer-ence for improving treatment quality and formulating relevant policies.Methods The data of NSCLC cases were collected and 16 di-agnosis and treatment process indicators were selected.Patients were stratified according to the stage of lung cancer.A polynomial lo-gistic regression model was constructed,including patient characteristics to analyze the impact of first hospitalization days on the quali-ty of comprehensive treatment.Results A total of 10,053 patients with NSCLC were collected in this study,with a median compre-hensive treatment quality score of 0.60.According to the staging of lung cancer,patients were divided into the early stage group(stageⅠ-Ⅱ),locally advanced stage group(stage Ⅲ),and advanced stage group(stage Ⅳ).The first hospitalization days and treatment quality of each subgroup showed a non-linear relationship.The polynomial model results showed that after adjusting the characteristics of patients,the length of hospitalization day and the quadratic term of hospital stay had a statistically significant impact on treatment quality in each subgroup:early patients had a first hospital stay of 18 days,and locally advanced and advanced patients had a first hos-pital stay of 22 days,with the highest probability of achieving high treatment quality.Conclusion Patients in different stages have va-rying degrees of illness and treatment plans,resulting in different first hospitalization days corresponding to the highest probability of obtaining high-quality treatment.Hospitals can improve the treatment quality and medical efficiency by implementing standardized di-agnosis and treatment guidelines,strengthening the management of the diagnosis and treatment process,and reasonably controlling the first hospitalization time of patients in different stages.
关键词
非小细胞肺癌/治疗质量/首次住院天数/多项式回归
Key words
Non-small cell lung cancer/Quality of treatment/First hospitalization days/Polynomial regression
维普
万方数据