2026-10-14T08:40:05Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33985951 2026-09-24T13:58:18Z category_393 portal_316 item_type_3 month_year_09_2026

Table 2_Beyond GCP: developing a differentiated competency framework for principal investigators in innovative drug clinical trials in China.docx Bo Sun (177052) Jiling Li (6297638) Ying Xu (9172) Leilei Zhu (1566697) Gang Li (34549) Jing Zhang (23775) Zhenglong Dong (25104286) Meicheng Yang (4069642) Xiangyu Li (1475548) Foetal Development and Medicine clinical trial Delphi method differentiated competency framework innovative drug principal investigator Background<p>The increasing complexity and diversity of innovative drug clinical trials in China have expanded the competencies expected of principal investigators (PIs) beyond minimum regulatory qualifications. However, existing frameworks are primarily international and may not fully reflect China's institutional and regulatory context. This study aimed to develop a concise PI competency inventory adapted to China and to explore a differentiated, context-sensitive approach to competency development.</p>Methods<p>A multiphase mixed-methods modified Delphi study was conducted. First, an initial pool of 64 competency indicators was generated through a structured literature review and semi-structured expert interviews. Subsequently, two rounds of the Delphi method were conducted. In the initial round, a comprehensive expert recruitment process was undertaken, leading to indicator integration through quantitative correlation and content analyses which streamlined the indicators to 30 items. The second-round consultation was conducted using the streamlined indicators.Panel composition changed between rounds: some Round 1 experts did not participate in Round 2, and two regulatory experts were added to strengthen stakeholder representation and content validity. The Statistical Package for the Social Sciences (SPSS) 26.0 was utilized for quantitative analysis, encompassing descriptive statistics, the calculation of Kendall's W and the coefficient of authority (Cr).</p>Results<p>An exploratory framework comprising 30 competencies was established. The mean expert authority coefficient was 0.87. The test of concordance was statistically significant (p < 0.001), but Kendall's W was 0.206, indicating limited inter-expert concordance. Indicators were categorized into three descriptive strata by coefficient of variation (CV): high-consensus (CV ≤ 7%; 4 items), medium-consensus (7% < CV ≤ 17%; 19 items), and low-consensus (high-divergence) (17% < CV < 25%; 7 items). These strata describe variability in the panel's ratings and do not establish differences in competency importance or a developmental sequence.</p>Conclusions<p>This exploratory 30-item inventory provides an initial structure for evaluating PI competencies in China's innovative-drug trial context. Its differentiation logic offers preliminary perspectives to inform the future development of differentiated and context-sensitive PI competency models. While this framework may inform future training system design, institutional human-resource management, and PI career development, its long-term validity, feasibility, and practical utility warrant prospective, real-world evaluation.</p> 2026-09-24T13:58:18Z Dataset Dataset 10.3389/fmed.2026.1933721.s003 https://figshare.com/articles/dataset/Table_2_Beyond_GCP_developing_a_differentiated_competency_framework_for_principal_investigators_in_innovative_drug_clinical_trials_in_China_docx/33985951 CC BY 4.0