ABSTRACT
Effective supervision of the clinical research management department can guarantee and improve the quality of the investigator initiated trials(IIT). The authors analyzed relevant clinical research regulations and literature and summarized the current situation of risk-based IIT project process quality management. On such basis, they determined the risk-based IIT project process quality management method in combination with the previous research of the research group.From 2021 to 2022, this method was used to implement process quality management for 353 IIT projects in Shanghai′s tertiary hospitals. More than 3 000 risk points were identified through centralized supervision, and then on-site supervision was carried out to correct the problems found. As proven by the results, the method could find existing problems in time and define the risk level of the project, and also formulate an individualized risk supervision plan accordingly, so as to effectively ensure the data reliability and scientific results. It is suggested that the clinical research management department implement risk based management for the whole process of IIT projects, increase funding and staffing, and implement hierarchical management for the projects by research types, so as to promote the sustainable development of IITs.
ABSTRACT
Objective:To assess possible risk factors and their respective levels in the whole process of investigator initiated trial(IIT)projects proposed in the proposal stage, for reference in formulation of risk management plans.Methods:Through literature analysis and research group discussions, the risk factors of IIT projects and risk level assessment criteria were preliminarily identified, and a consultation questionnaire was developed as a result. Delphi method was used to further optimize the risk factors and determine their risk levels. Data obtained from the consulfation were analysied by descriptive.Results:The recovery rates of two rounds of expert consultation were both 100%, and the degree of expert authority was 0.942. The survey finalized 38 risk factors, including extremely high risk, high risk, medium risk, low risk and very low risk factors of 17(44.7%), 15(39.5%), 3(7.9%), 2(5.3%) and 1(2.6%) respectively.Conclusions:This study determined a risk evaluation system of IIT projects in the proposal stage. This system can identify risks of IIT projects at an early stage, facilitating early intervention of problems existing in such projects, and minimize risks to the rights and safety of patients.