Webinar: Clinical Research & Data Management During The Pandemics | HOSPITAL SULTAN ABDUL AZIZ SHAH (HSAAS) UNIVERSITI PUTRA MALAYSIA
» Webinar: Clinical Research & Data Management During The Pandemics

Webinar: Clinical Research & Data Management During The Pandemics

To watch the webinar video, please click on the picture below:
 
 

Webinar 2: Clinical Research and Data management during the pandemics

  • Clinical trial is a premiere method in testing and validating new drug or method
  • Important point in conducting clinical trial
    • Timely recruitment
    • Adherence to protocol-specified procedure
    • High retention participants
    • Proper statistical analyses
    • Minimal risk of bias due to informative missing data
  • Adherence to study should be consistent with the international levels, clinically achievable in non-pandemic settings
  • If situation not possible, best course of action is to delay or pausing clinical trials
    • Re-initiation of enrollment once deems capable to adequately manage risk of COVID-19
    • The approach is important if concurrent disease is related to COVID-19
    • Minimizing risk to trial integrity
  • FDA guideline
    • Safety
    • Contingency plan
    • Inform patient the status and impact
    • Pause/delay/ extend study
    • Alternative form of data collection
    • Access to investigational medical products (IMPs)
    • COVID screening
    • Documentation of protocol changes
  • Best practice:
    • Keep participants informed
    • Perform ongoing risk assessment
    • Pivot to remote study visits
    • Switch to remote monitoring
    • Document with COVID-19 tag
    • Taking patients’ perspective into account
      • Safety
      • Sense of urgency
    • Analytical issue
      • Treatment effect: use confident interval rather than p value
      • Analyses should aim to make inferences relevant to post-pandemic period
    • Assessment of missingness
      • MCAR (Missing complete at random)
        • Suggested analysis: any complete case analysis
      • MAR (Missing at random)
        • Suggested analysis: multiple imputation (include post-randomization)
      • MNAR (Missing not at random)
        • Controlled multiple imputation (combines pattern mixture modelling and multiple imputation)
      • Missingness must be reduced as much as possible
      • Alternative: Do meta-analysis
    • Summary:
      • Clinical trial are essential tools in medical research
      • COVID-19 has exposed challenges in term of
        • Design
        • Conduct
        • Reporting of study findings
      • Important to incorporate these lessons to ensure the highest quality of research

 

Recommended readings:

  1. Cro, S., Morris, T.P., Kahan, B.C. et al. A four-step strategy for handling missing outcome data in randomised trials affected by a pandemic. BMC Med Res Methodol 20, 208 (2020). https://doi.org/10.1186/s12874-020-01089-6
  2. McDermott MM, Newman AB. Remote Research and Clinical Trial Integrity During and After the Coronavirus Pandemic. JAMA. Published online April 22, 2021. doi:10.1001/jama.2021.4609. https://cutt.ly/ObNNStZ
  3. Órlaith Burke. The future of clinical trials. Accenture. SEPTEMBER 19, 2019. https://www.accenture.com/cz-en/insights/life-sciences/future-clinical-trials

 

 

 

Updated:: 21/07/2023 [intanbasirah]

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