Influencing factors and countermeasures for scientific research outputs in leading disciplines at a tertia-ry hospital in shanghai:a LASSO regression approach
10.3969/j.issn.1671-332X.2025.05.037
- VernacularTitle:基于LASSO回归分析的上海某三甲综合教学医院优势学科科研产出影响因素及对策研究
- Author:
Feng JIANG
1
;
Xiangtian YU
1
;
Cheng HU
1
;
Jingfen PAN
1
Author Information
1. 上海交通大学医学院附属第六人民医院 上海 200233
- Publication Type:Journal Article
- Keywords:
Tertiary hospital;
Discipline development;
Key factors
- From:
Modern Hospital
2025;25(5):802-806
- CountryChina
- Language:Chinese
-
Abstract:
Objective To identify the key determinants that enhance the scientific innovation capabilities of leading dis-ciplines in tertiary hospitals and to construct a predictive model for scientific research outputs,providing a scientific basis for the integrated development of hospital disciplines.Methods This study focused on the orthopedics,endocrinology and metabolism,otolaryngology head and neck surgery,and nephrology departments at the Shanghai Sixth People's Hospital affiliated with Shang-hai Jiao Tong University School of Medicine.Research data from 2013 to 2022 were analyzed.Significant independent variables were identified through univariate analysis,and the LASSO regression model was applied to address multicollinearity issues,in-corporating the time lag effect of research output to construct a predictive model.Results The number of senior professional title holders and the number of enrolled master's and doctoral students emerged as key factors for scientific research outputs.Factors affecting the quality and quantity of article output included the number of senior professionals,the enrollment of master's,doctor-al,and postdoctoral students,and funding for provincial,ministerial,school,bureau,and hospital-level projects.Key factors in-fluencing project-based outputs included the number of senior professionals,doctoral supervisors,the number of enrolled master' s and doctoral students,and funding for school and bureau-level projects.The prediction model based on LASSO regression dem-onstrated a good fit for various research output indicators.Conclusion This study used LASSO regression to identify key factors in scientific research outputs for top disciplines.The predictive model built in the study offers a scientific basis for discipline de-velopment.It helps optimize resource allocation,strengthen interdisciplinary collaboration,and drive high-quality hospital devel-opment.
