Assessment of Methodological and Reporting Quality of Hospital Infections Prediction Model
- VernacularTitle:医院感染预测模型研究方法学与报告质量评价
- Author:
Jiao SHAN
1
;
Xiaoyuan BAO
;
Zhizhong GONG
;
Yulong CAO
Author Information
1. 首都医科大学附属北京积水潭医院 北京 100035
- Keywords:
hospital infections;
prediction model;
prediction model risk of bias assessment tool;
transparent reporting of a multivariable prediction model for individual prognosis or diagnosis
- From:
Chinese Hospital Management
2024;44(11):55-59
- CountryChina
- Language:Chinese
-
Abstract:
Objective To evaluate the quality of prediction model on healthcare-associated infections in China,so as to standardize research process and reporting methods.Methods It performed a literature search for healthcare-associated infections prediction model studies published using the following databases by the end of 2022.After independently screening the literature and cross-checking the extracted data according to the inclusion and exclusion criteria,the research team applied the prediction model risk of bias assessment tool(PROBAST)to evaluate the methodological quality,and the transparent reporting of a multivariable prediction model for individual prognosis or diagnosis(TRIPOD)statement to evaluate the quality of study reporting.Results A total of 81 healthcare-associated infections prediction studies were identified.Their median PROBAST overall adherence were 58.11%±13.88%,median TRIPOD adherence were 56.11%±16.35%.The main methodological flaws involved participants defined,ignored complexities in data,and omitted missing data.The reporting flaws lay in the items of risk groups,sample size,and supplementary information.Conclusion There are methodological deficiencies and incomplete reporting of domestic hospital infection prediction modelling studies,which limit the reliability and applicability of the results and leave much room for improvement.
