Abstract
Introduction: The growing complexity of clinical trials, particularly in oncology, has significantly increased the operational burden on research staff. However, standardized and validated instruments to measure trial-related workload remain scarce. This study aimed to adapt and validate the Italian version of Ontario Protocol Assessment Level (I-OPAL) tool for the Italian context, providing a reliable framework for workload planning and feasibility assessment. Methods: A cross-sectional, multicenter study was conducted across Italian research institutions. The OPAL tool was translated and culturally adapted following established validation procedures. Content validity was assessed using the Content Validity Ratio (CVR), while inter-rater reliability was evaluated with the intraclass correlation coefficient (ICC). Discriminant validity was examined through non-parametric tests, effect size measures, and multiple correspondence analysis. Results: A total of 513 clinical trials were included. The OPAL tool showed excellent inter-rater reliability (ICC = 0.93) and all items met the minimum CVR threshold (0.78–1.00). Significant differences in OPAL scores were observed across study type, clinical setting, sample size, and duration (all p < 0.001), with large effect sizes (ε2 up to 0.645). Higher OPAL scores were positively correlated with greater allocation of research staff, particularly nurses and data managers. Sensitivity analyses confirmed the robustness of findings, and internal consistency checks revealed full alignment with the model’s classification rules. Conclusions: The Italian validation of OPAL confirmed its reliability, validity, and practical relevance as a tool for standardized workload assessment in clinical research. Its integration into feasibility analyses and trial planning could enhance resource allocation, regulatory compliance, and sustainability of research activities in Italy.
| Original language | English |
|---|---|
| Pages (from-to) | N/A-N/A |
| Journal | Therapeutic Innovation and Regulatory Science |
| Issue number | N/A |
| DOIs | |
| Publication status | Published - 2026 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Pharmacology, Toxicology and Pharmaceutics (miscellaneous)
- Public Health, Environmental and Occupational Health
- Pharmacology (medical)
Keywords
- Clinical research workforce
- Clinical trial complexity
- Feasibility analysis
- Regulatory science
- Trial operations
- Workload assessment
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