Lessons Learned From Implementing a Pragmatic Trial Using EHR and Other Real-World Data

Lessons Learned From Implementing a Pragmatic Trial Using EHR and Other Real-World Data

Description

This NIH Collaboratory Learning Module explores opportunities for turning routine clinical care into real-world data for pragmatic trials using the electronic health record. Concepts covered include using the EHR for patient selection, intervention delivery, and outcome ascertainment. Using the experiences of NIH Collaboratory Trial ICD-Pieces, this video focuses on the flexibility and adaptations necessary from the research team when using EHR data for pragmatic clinical trials.

Speaker

George 'Holt' Oliver, MD, PhD
Parkland Center for Clinical Innovation (PCCI)
VP Clinical Informatics
Dallas, Texas

Related

Using Electronic Health Record Data in Pragmatic Clinical Trials

The Big Picture: Healthcare Data and Interoperability

The Big Picture: Healthcare Data and Interoperability

Description

In this video, Dr. Lesley Curtis explores how data flow into EHRs and move between systems, the role of data standards, and the barriers to building a more streamlined and connected healthcare system.

Speaker

Lesley Curtis, PhD
Professor of Population Health Sciences and Medicine, Duke University
Duke Clinical Research Institute
Collaboratory Steering Committee Chair

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Electronic Health Records–Based Phenotyping

Common Data Models

Common Data Models

Description

In this video, Dr. Lesley Curtis explores Common Data Models (CDMS). Topics include: How CDMs work, customizing CDMs for specific research questions, challenges and benefits of CDMs, and the future of CDMs.

Speaker

Lesley Curtis, PhD
Professor of Population Health Sciences and Medicine, Duke University
Duke Clinical Research Institute
Collaboratory Steering Committee Chair

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Using Electronic Health Record Data in Pragmatic Clinical Trials

April 18, 2024: New Living Textbook Chapter Articulates How Investigators Navigated Unexpected Challenges During Pragmatic Clinical Trials

During the course of the years-long pragmatic clinical trials supported by the NIH Pragmatic Trials Collaboratory, many unanticipated challenges have occurred, some of which have had profound effects on usual care, trial implementation, data systems, and staff. These unanticipated changes threatened the ability of the trials to address the questions they were designed to answer. A new chapter of the Living Textbook—Navigating the Unknown—describes these challenges and the responses of the study teams.

The chapter describes 3 general categories of challenges, each meriting a different response:

  1. If the challenge is a local or temporary issue (for example, a pandemic temporarily shuts down in-person care, or a partnering health system dissolves or is purchased), but the question is still relevant or important and the trial is still feasible, then a workaround may solve the problem.
  2. If the trial is no longer feasible for some reason (for example, the recruitment process is not feasible, or the intervention cannot be delivered as planned), and the question is still relevant, it is necessary to make significant changes to the protocol.
  3. If the question is no longer relevant or important (for example, new evidence or policy changes make the question no longer relevant), the trial should not continue. For this challenge, it may necessary either to stop the trial or to make fundamental changes to address a different question (since the original question is no longer relevant).

The chapter describes local or temporary challenges some of the study teams faced, such as the COVID-19 pandemic, health system mergers, and changes to the electronic health record (EHR). In these cases, the research questions were still relevant and important and the trial designs were still feasible, so workarounds were created to solve the problems.

  • Section 2: Study teams responded to staff turnover, leadership changes, and health system acquisitions and mergers.
  • Section 3: Rapid technology change created unexpected consequences, such as EHR updates causing system changes that affected intervention delivery, and sites switching EHRs systems creating complexities during the trial.
  • Section 4: COVID-19 had significant impacts on trial activities.

Section 5 of the new chapter addresses barriers that resulted from aspects of the protocol that could have impacted recruitment, retention, or implementation in a way that imperiled the ability of trials to answer the question posed by a research study. In these scenarios, researchers found it appropriate to change the protocol or research question—to pivot—in order to glean meaningful, actionable evidence.

Sections 6 and 7 describe challenges that can fall into either category 1 or 2, and investigators had to decide how to respond in real time.

  • Section 6: Clinical practice guidelines and policies changed due to new evidence from observational studies, small trials, and shifting expert opinion, and therefore, usual care changed.
  • Section 7: Quality improvement initiatives were launched to address similar problems, threatening the ability to discern differences between arms of the trial.

The NIH Pragmatic Trials Collaboratory supports pragmatic clinical trials embedded in healthcare systems to test interventions that address urgent public health problems faced by delivery systems. They involve hundreds to thousands of participants and generally include usual care as a control arm. One of the most important lessons learned through the course of these trials is that unexpected change is a given.

For more, see the section on Unanticipated Changes in the Analysis Plan chapter of the Living Textbook.

Keynote: Can the COVID-19 Crisis Lead to Reformation of the Evidence Generation Ecosystem?

Keynote: Can the COVID-19 Crisis Lead to Reformation of the Evidence Generation Ecosystem?

Description

Dr. Robert Califf, Commissioner of the Food and Drug Administration, shares what he believes are the most important drivers that will improve the evidence generation ecosystem. The effective use of digital information, such as data from the EHR, telehealth and apps should are merely a first step. Dr. Califf suggests we focus on the purpose of clinical trials: getting important questions answered quickly.

Speaker

Robert Califf, MD
Comissioner of Food and Drugs, U.S. Food and Drug Administration

 

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The Embedded Pragmatic Clinical Trial Ecosystem

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Real-World Data and Real-World Evidence in Regulatory Decisions

Real-World Data and Real-World Evidence in Regulatory Decisions

Description

Dr. Jacqueline Corrigan-Curay of the US Food and Drug Administration discusses recent trends in incorporating real-world data and real-world evidence in regulatory decisions.

Speaker

Jaqueline Corrigan-Curay, JD, MD
Principal Deputy Center Director in FDA’s Center for Drug Evaluation and Research (CDER)

 

Related

View the full Grand Rounds video: Real World Evidence: Contemporary Experience and Future Directions

Steven George, PT, PhD

Implementation and Intervention Complexity in Pragmatic Clinical Trials

Implementation and Intervention Complexity in Pragmatic Clinical Trials

Description

In this interview, Dr. Stephen George discusses how complexity can change as you work in partnership with the people who will be implementing the intervention. The complexity of an intervention has to be simple enough to be feasible in the context of the research setting.

Biography

Steven George, PT, PhDSteven George, PhD
Professor in Orthopaedic Surgery, Duke University

 

 

Related Content

Living Textbook: Intervention Delivery and Complexity

Read our news and view the full presentation.

Assessing Data Quality

Assessing Data Quality

Description

Assessing data quality is a key step in research that uses data from the electronic health record. These data are a surrogate for clinical phenomena, meaning they represent an interpretation of clinical information about a patient instead of absolute truth. This video describes steps for assessing data quality, including identifying variation between populations at different sites and assessments of accuracy, completeness, and consistency.

Speaker

Rachel Richesson, PhD Headshot of Rachel Richesson
Professor of Learning Health Sciences, University of Michigan Medical School
Electronic Health Records Core Co-chair

 

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Data as a Surrogate for Clinical Phenomena

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EHR-Based Outcome Measurement in the LIRE Trial

EHR-Based Outcome Measurement in the LIRE Trial

Description

In this video, Dr. Jerry Jarvik, PI of the LIRE trial, summarizes the challenges his team faced when embedding a radiology reporting intervention into the electronic health record.

Biography

Jerry Jarvik, MD, MPH
Radiologist, University of Washington Medical Center
Professor of Radiology, Neuroradiology, Health Services and Neurological Surgery, University of Washington
Adjunct Professor of Orthopedics & Sports Medicine and Pharmacy
LIRE NIH Collaboratory Trial PI

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Implementing and Monitoring the Delivery of an Intervention

View the full Grand Rounds video: Experiences From the Collaboratory PCTs

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Using Clinical Data to Advance Discovery

Using Clinical Data to Advance Discovery

Description

In this video, Dr. Josh Denny of the NIH's All of Us Research Program describes how researchers are building powerful algorithms for use across electronic health records systems to advance clinical research.

Biography

Josh Denny, MD, MS
CEO of NIH’s All of Us Research Program

 

 

Related

Interoperability

View the full Grand Rounds video: Real World Evidence: Contemporary Experience and Future Directions

View the complete collection of EHR Workshop video modules.