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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

Introduction

CHAPTER SECTIONS

Real-World Evidence: Patient-Reported Outcomes (PROs)


Section 1

Introduction

Expand Contributors

Emily O'Brien, PhD
Christy Zigler, PhD, MSEd
Lynn L. Debar, PhD, MPH
Kevin P. Weinfurt, PhD

Contributing Editor
Karen Staman, MS

When pragmatic trials test interventions designed to change how someone feels or functions in their day-to-day lives, outcomes can be obtained through direct patient report, as patients are typically the best source of information about how they are feeling and managing outside of the clinic. For example, the PPACT trial tested whether multidisciplinary services, such as physical therapy and psychological interventions, would lead to improvements in pain, as reported by participants.

As defined by the U.S. Food and Drug Administration (FDA), a patient-reported outcome (PRO) is “any report of the status of a patient’s health condition that comes directly from the patient, without interpretation of the patient’s response by a clinician or anyone else" (FDA Guidance for Industry 2009). Work funded by the Patient-Centered Outcomes Research Institute (PCORI) defines PROs as “the patient’s report of the impact of health, disease, and treatment from the patient perspective, generally collected via questionnaires (Snyder and Wu 2017).” This definition makes a distinction between patient-generated data collected from devices (such as pedometers or home blood pressure monitors) and patients’ direct report of outcomes, which typically include information about symptoms, functioning, satisfaction with care or symptoms, adherence to prescribed medications or other therapy, and perceived value of treatment.

In this chapter, we describe how PROs are used in different settings and how to choose and integrate a PRO measure into an embedded pragmatic clinical trial protocol. In addition, we briefly describe resources for measures, including core outcome sets for PROs.

Next Section


SECTIONS

CHAPTER SECTIONS

sections

  1. Introduction
  2. How Are PRO Measures Used?
  3. Best Practices for Collecting PRO Measures in Pragmatic Clinical Trials
  4. NIH HEAL, FDA, and Other Core Outcome Sets
  5. Choosing PRO Measures
  6. Cultural Adaptation and Linguistic Translation
  7. Case Study From Guiding Good Choices for Health
  8. Incorporating PRO Data Into the EHR
  9. Patient-Focused Drug Development
  10. Additional Resources

Resources

Patient-Centered Outcomes Core Toolkit 

The purpose of this toolkit is to provide resources to support the capture of patient-reported outcome measures in diverse study populations participating in the NIH Collaboratory Trials and other pragmatic clinical trials. This toolkit contains a Checklist focused on health equity considerations and PROs, along with Additional Resources.

Grand Rounds:

Users’ Guide for Integrating Patient-Reported Outcomes in Electronic Health Records (Claire Snyder, PhD, Albert W. Wu, MD, MPH)

Living Textbook Chapter:

Endpoints and Outcomes: Outcomes Measured via Direct Patient Report

White Paper:

Patient-Reported Outcomes

This white paper covers how to use, measure, interpret, and implement PRO measures.

 

REFERENCES

back to top

FDA Guidance for Industry. 2009. Patient-Reported Outcome Measures: Use in Medical Product Development to Support Labeling Claims. http://www.fda.gov/downloads/Drugs/Guidances/UCM193282.pdf. Accessed June 1, 2020.

Snyder C, Wu AW eds. 2017. Users’ Guide to Integrating Patient-Reported Outcomes in Electronic Health Records. http://www.pcori.org/document/users-guide-integrating-patient-reported-outcomes- electronic-health-records. Accessed May 28, 2020.


Version History

June 26, 2020: Added resource for PRO white paper (changes made by K. Staman)

Published May 30, 2020

current section :

Introduction

  1. Introduction
  2. How Are PRO Measures Used?
  3. Best Practices for Collecting PRO Measures in Pragmatic Clinical Trials
  4. NIH HEAL, FDA, and Other Core Outcome Sets
  5. Choosing PRO Measures
  6. Cultural Adaptation and Linguistic Translation
  7. Case Study From Guiding Good Choices for Health
  8. Incorporating PRO Data Into the EHR
  9. Patient-Focused Drug Development
  10. Additional Resources

Citation:

Zigler C, DeBar L, Weinfurt K. Real-World Evidence: Patient-Reported Outcomes (PROs): Introduction. In: Rethinking Clinical Trials: A Living Textbook of Pragmatic Clinical Trials. Bethesda, MD: NIH Pragmatic Trials Collaboratory. Available at: https://rethinkingclinicaltrials.org/chapters/conduct/real-world-evidence-patient-reported-outcomes-pros/introduction/. Updated March 6, 2026. DOI: 10.28929/137.

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