Development↦Protocol↦Writing the Protocol↦Content
What is it? Why is it important?
A protocol describes the scientific, safety, and management aspects of a study. Once defined, they outline the rules of the study that must be complied with during study conduct.
Scientific aspects describe study:
- Background, rational, and scientific relevance
- Population
- Research question
- Outcome / endpoint
- Design (i.e. sample size calculation, randomisation)
- Statistical analysis (e.g. analysis plan, interim analysis)
Safety aspects describe study:
- Risk categorisation
- Risk-benefit ratio
- Participant protection (e.g. safety and protective measures)
- Data confidentiality (i.e. storage of health related data and biological material)
Management aspects describe study:
- SP-INV and if applicable Site-INV(s) responsibilities
- Applicable laws and guidelines
- Potential conflict of interest
- Participant rights (e.g. informed consent, data confidentiality)
- Partners (e.g. data manager, monitoring, statistician, laboratories, data safety monitoring board)
- Quality assurance (e.g. qualified staff, availability of resources, data quality, monitoring, audits)
- Amendment
- Notification of study termination
- Insurance
- Funding
- Study registration and publication responsibilities
- Archiving
What do I need to do?
As a SP-INV describe:
- Based on a literature search, the background, rational, and scientific relevance of your study. A search provides the arguments needed to justify the conduct of your study, such as what:
- Is currently known about the IMP/IMD under investigation (e.g. preclinical and clinical evidence)
- What research questions remain open to be investigated
- The selection and justification of your study population (e.g. inclusion / exclusion criteria, diagnosis, age range, gender)
- The investigational product (i.e. IMP/IMD)
- The study outcome(s) / endpoint(s). Outcome(s) must be measurable and relevant to the research question
- The study design, which must be fit for purpose, providing explanatory power
Consult applicable experts, such as:
- A data manager for the development of the study database
- A statistician for the evaluation of study results (e.g. sample size calculation / blinding / interim and final analysis)
- A monitor for quality control
More
Include in the protocol tables or graphics that summarize study conduct. This can greatly facilitate the understanding of study procedures.
Example:
- A graphic or flow-chart depicting the design of the study (e.g. placebo controlled studies)
- A table providing an overview of study stages (e.g. baseline, study intervention, follow-up upon study completion).
- Planned study visits including expected procedures (e.g. blood analysis, participant questionnaire, recording of adverse events)
Where can I get help?
Your local CTU↧ can support you with experienced staff regarding this topic
Basel, Departement Klinische Forschung, CTU, dkf.unibas.ch
Lugano, Clinical Trials Unit, CTU-EOC, www.ctueoc.ch
Bern, Clinical Trials Unit, CTU, www.ctu.unibe.ch
Geneva, Clinical Research Center, CRC, crc.hug.ch
Lausanne, Clinical Research Center, CRC, www.chuv.ch
St. Gallen, Clinical Trials Unit, CTU, www.kssg.ch
Zürich, Clinical Trials Center, CTC, www.usz.ch
External Links
Swissethics – see in particular
- Templates / Checklists / “Flowchart to assist with the use of the template”
- Templates / Checklists / Study protocols / Requirement for study protocols according to HRA
References
ICH GCP E6(R2) – see in particular guidelines
- 1.44 Protocol definition
ISO 14155:2020 Medical device (access liable to cost) – see in particular sections
- 6.4 Clinical Investigational Plan (CIP)
- Annex A CIP
Declaration of Helsinki – see in particular principles
- 21-22 Protocol requirements
Swiss Law
HRA – see in particular articles
- Art. 5 Scientifically relevant topic
- Art. 10 Scientific requirements
- Art. 11 Protection of participants / Subsidiarity
- Art 12 Protection of participants / Risks and burdens
- Art. 15 Safety and protective measures
ClinO – see in particular articles
- Art. 5 Rules of Good Clinical Practice
- Art. 18 Storage of health-related data and biological material
- Art. 19, 20, 49, and 61 Categorisation
ClinO-MD – see in particular article
- Art. 6 Categorisation of clinical investigations
HRO – see in particular article
- Art. 5 Storage of health-related data and biological material
- Art. 7 Categorisation