Basic↦Quality and Risk↦Risk-Based Approach to Quality↦Risk Evaluation Matrix
What is it? Why is it important?
The Risk Evaluation Matrix (REM) is a tool to visualize and assess risks by mapping a:
- x-axis: Probability or likelihood of risk occurrence, considering contributing factors and detectability
- y-axis: Expected impact on the study`s defined Critical to Quality (CtoQ) factors
Based on these dimensions, risks are scored typically on a scale reflecting both probability and impact (e.g. 1=low, 2=medium, 3=high). Scores interpretation should retain some flexibility considering study complexity and participant-centric risks.
Risks appearing in the top-right corner are high-priority risks with high likelihood and impact. These risks require the implementation of robust risk control-measures, including ongoing dynamic management strategies.
When assessing study risks, researchers should apply a “Quality-by-Design” (QbyD) approach to the study. The aim is to manage risks before they occur, thereby providing credible and useful study results.
What do I need to do?
- Familiarise yourself with the REM diagram and how to manage risks based on their location in the REM
- Prioritise risks in the top-right REM corner, as they represent threats with high probability and severe impact on the study`s CtoQ factors (e.g. participant right and safety, data quality).
For high priority risks:
- Engage a multidisciplinary team that can support you in defining applicable risk control-measures (e.g. study monitoring, risk management strategies with the inclusion of efficacy assessments).
- Recognize that risk evaluation amd prioritization is a dynamic process. Study risks threatening CtoQ factors should be regularly reassessed, with risk control-measures updated to reflect new information on risk behaviour, changes in study conduct, or emerging technologies (e.g., digital tools, decentralized trial methods).
- Apply proportionate and fit for purpose risk control-measures aimed at preventing and/or mitigating risk occurrence
Where can I get help?
Your local Research Support Centre↧ can assist you with experienced staff regarding this topic
Basel, Departement Klinische Forschung (DKF), dkf.unibas.ch
Lugano, Clinical Trials Unit (CTU-EOC), ctueoc.ch
Bern, Department of Clinical Research (DCR), dcr.unibe.ch
Geneva, Clinical Research Center (CRC), crc.hug.ch
Lausanne, Clinical Research Center (CRC), chuv.ch
St. Gallen, Clinical Trials Unit (CTU), h-och.ch
Zürich, Clinical Trials Center (CTC), usz.ch
References
ICH GCP E6(R3) – see in particular guideline
- 3.10 Quality management
ICH E8(R1) – see in particular
- 3.1 Quality by Design of clinical studies
- 3.2 Critical to Quality Factors
ISO 31000 (access liable to costs) – see in particular section
- Risk management: Principles and guidelines