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NIH Collaboratory
Living Textbook of
Pragmatic Clinical Trials

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Rethinking Clinical Trials

A Living Textbook of Pragmatic Clinical Trials

  • Design
    • What is a Pragmatic Clinical Trial?
    • Decentralized Pragmatic Clinical Trials
    • Developing a Compelling Grant Application
    • Experimental Designs and Randomization Schemes
    • Endpoints and Outcomes
    • Analysis Plan
    • Using Electronic Health Record Data
    • Building Partnerships and Teams to Ensure a Successful Trial
    • Intervention Delivery and Complexity
    • Patient Engagement
  • Data, Tools & Conduct
    • Assessing Feasibility
    • Acquiring Real-World Data
    • Assessing Fitness-for-Use of Real-World Data
    • Study Startup
    • Participant Recruitment
    • Monitoring Intervention Fidelity and Adaptations
    • Patient-Reported Outcomes
    • Clinical Decision Support
    • Mobile Health
    • Electronic Health Records–Based Phenotyping
    • Navigating the Unknown
  • Dissemination & Implementation
    • Data Sharing and Embedded Research
    • Dissemination Approaches for Different Audiences
    • Implementation
    • End-of-Trial Decision-Making
  • Ethics & Regulatory
    • Privacy Considerations
    • Identifying Those Engaged in Research
    • Collateral Findings
    • Consent, Disclosure, and Non-Disclosure
    • Data and Safety Monitoring
    • Ethical Considerations of Data Sharing in Pragmatic Clinical Trials
    • Ethics for AI and ML
    • IRB Responsibilities and Procedures

Monitoring for Serious Adverse Events

CHAPTER SECTIONS

Data and Safety Monitoring


Section 5

Monitoring for Serious Adverse Events

Expand Contributors

Stephanie Morain, PhD
Pearl O’Rourke, MD
Susan Ellenberg, PhD
Jeremy Sugarman, MD, MPH, MA
Doug Zatzick, MD

Contributing Editors

Damon M. Seils, MA
Gina Uhlenbrauck
Liz Wing, MA

Among the ways that DSMBs help safeguard the interests of study participants is by monitoring for serious adverse events, so as to ensure that a study intervention does not cause more serious adverse events as compared with the control group.

While the general obligation to safeguard the interests of individuals enrolled in a clinical trial exists regardless of whether a trial is explanatory or pragmatic in nature, several design features of pragmatic trials can influence the procedures for monitoring for serious adverse events (Simon et al 2019). First, unlike explanatory trials involving new therapies, pragmatic trials often involve interventions with previously established safety profiles. Second, pragmatic trials may involve differential contact with study staff by study arm, which in turn may lead to differential reporting of serious adverse events. Third, serious adverse events are often ascertained from healthcare system records, which may delay their identification.

These special circumstances may require negotiation with the DSMB to work out a more practical monitoring plan. Because interventions—even those that are presumed helpful and/or considered standard of care by some—may have unintended consequences in real-world settings, investigators should plan for how any unintended consequences will be detected (Curtis et al 2025). For example, the LIRE study tested the insertion of benchmark prevalence data into routine radiology reports for people who had received lumbar spine imaging (Jarvik et al 2020; Jarvik et al 2015). It was determined that the intervention could reduce detection of rare but potentially dangerous causes of back symptoms, so the team planned for these unintended consequences by having external safety officers monitor for emergency room visits within 90 days and deaths within six months of index imaging (Jarvik et al 2015, Curtis et al 2025).

Previous Section Next Section

SECTIONS

CHAPTER SECTIONS

sections

  1. Introduction
  2. Which Pragmatic Trials Should Have a DSMB?
  3. Monitoring Protocol Adherence
  4. Data Issues With Monitoring Pragmatic Trials
  5. Monitoring for Serious Adverse Events
  6. Decisions About Early Termination
  7. Additional Resources

Resources

Data Monitoring in Pragmatic Clinical Trials: Points to Consider
Resource from the NIH Pragmatic Trials Collaboratory

REFERENCES

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Curtis LH, Morain S, O’Rourke PP, et al. 2025. Monitoring in pragmatic trials lessons from the NIH pragmatic trials collaboratory. Contemp Clin Trials. 152:107866. doi:10.1016/j.cct.2025.107866.

Jarvik JG, Comstock BA, James KT, et al. 2015 Oct 19. Lumbar Imaging With Reporting Of Epidemiology (LIRE)-Protocol for a pragmatic cluster randomized trial. Contemp Clin Trials. doi:10.1016/j.cct.2015.10.003. PMID: 26493088.

 

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Jarvik JG, Meier EN, James KT, et al. 2020. The Effect of Including Benchmark Prevalence Data of Common Imaging Findings in Spine Image Reports on Health Care Utilization Among Adults Undergoing Spine Imaging: A Stepped-Wedge Randomized Clinical Trial. JAMA Netw Open. 3:e2015713. doi:10.1001/jamanetworkopen.2020.15713. PMID: 32886121.

Simon GE, Shortreed SM, Rossom RC, Penfold RB, Sperl-Hillen JAM, O'Connor P. 2019. Principles and procedures for data and safety monitoring in pragmatic clinical trials. Trials. 20(1):690. doi: 10.1186/s13063-019-3869-3. PMID: 31815644.

 


Version History

August 15, 2025: Updated with examples from Curtis et al 2025 (changes made by K. Staman)

August 16, 2023

current section :

Monitoring for Serious Adverse Events

  1. Introduction
  2. Which Pragmatic Trials Should Have a DSMB?
  3. Monitoring Protocol Adherence
  4. Data Issues With Monitoring Pragmatic Trials
  5. Monitoring for Serious Adverse Events
  6. Decisions About Early Termination
  7. Additional Resources

Citation:

Data and Safety Monitoring: Monitoring for Serious Adverse Events. In: Rethinking Clinical Trials: A Living Textbook of Pragmatic Clinical Trials. Bethesda, MD: NIH Pragmatic Trials Collaboratory. Available at: https://rethinkingclinicaltrials.org/chapters/ethics-and-regulatory/data-and-safety-monitoring/monitoring-for-serious-adverse-events-2/. Updated December 3, 2025. DOI: 10.28929/226.

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