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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

Outcomes Measured via Digital Health Technology

CHAPTER SECTIONS

Choosing and Specifying Endpoints and Outcomes


Section 6

Outcomes Measured via Digital Health Technology

Expand Contributors

Lesley Curtis, PhD
Adrian F. Hernandez, MD, MHS
Kevin P. Weinfurt, PhD

Contributing Editor
Karen Staman, MS

The use of digital health technologies (such as smartphones, tablet computers, and portable, implantable, or wearable medical devices) present a wide array of challenges and opportunities for medical research. There is much to be learned about how well these devices work, their validity and reliability. While these devices hold abundant promise, they are imperfect measures and are not commonly used in clinical trials (Clinical Trials Transformation Initiative 2016). For example, if a participant is wearing an activity monitor and claps at a concert, it is possible that the device could record this as running? Or, will a geo-spatial device record running on a treadmill as activity at all?

Some examples of the utility of these devices include:

  • A PCT can be designed where a patient has an application (app) for their phone that provides passive or active surveillance. For example, an app with geo-sensing can ping a person who enters the hospital with the question: Why are you in the hospital? Or Are you ill?
  • The Personalized Patient Data and Behavioral Nudges to Improve Adherence to Chronic Cardiovascular Medications (Nudge) trial used mobile phone technology to remind patients about medication adherence.
  • Some devices will transmit data about a participant’s health status to a data warehouse every night. The devices can measure physiologic functions, such as how active a person is, heart rate, etc. As a hypothetical example in a PCT designed to evaluate how to prevent cardiac death, a patient could wear a heart monitor that detects arrhythmias and other heartbeat abnormalities, as well as whether or not a patient is hospitalized.
  • Patients with type 1 diabetes can use continuous glucose monitors (CGMs) to monitor their blood glucose levels, and this information can be sent to a smartphone, and CGM-specific receiver, or an insulin pump (Clinical Trials Transformation Initiative 2016).

Digital health technologies can be part of a decentralized clinical trial, in which some or all study-related activities occur at a location separate from the investigators location. As described in the Living Textbook Chapter on Decentralized Clinical Trials, a critical consideration when using digital health technology is quality assurance: one must ensure that the right patient receives the right treatment and provides the right data. For example, if the mobile health technology is a pedometer, one must ensure that others in the household do not wear it.

For more on digital health technologies, see FDA’s Digital Health Technologies for Drug Development.

Previous Section Next Section

SECTIONS

CHAPTER SECTIONS

sections

  1. Introduction
  2. Meaningful Endpoints
  3. Outcomes Measured via the Electronic Health Record
  4. Inpatient Endpoints in Pragmatic Clinical Trials
  5. Using Death as an Endpoint
  6. Outcomes Measured via Digital Health Technology
  7. Outcomes Measured via Direct Patient Report

Resources

Grand Rounds

Virtual Vigilance: Monitoring of Decentralized Clinical Trials

Digital, Decentralized and Democratized: Lessons From The Yale PaxLC Trial

Advancing Rural Back Pain Outcomes Using Rehabilitation Telehealth (ARBOR-Telehealth)

Texting for Behavior Change: Lessons Learned Across 2 Interventions to Improve Chronic Care Management

Pragmatic Randomized Trial of Smartphone-Based Nudges to Reduce Distracted Driving Among US Auto Insurance Customers

Home Blood Pressure Telemonitoring and Nurse Case Management in Black and Hispanic Patients With Stroke: A Randomized Clinical Trial

Advancing the Use of Mobile Technologies for Data Capture & Improved Clinical Trials

FoodSwitch USA: A Mobile Platform for Packaged Food Surveillance and Behavioral Research

Using a Novel mHealth Platform to Obtain Real-World Data for Post-Market Surveillance: A NEST Demonstration Project

Developing Technology-Derived Novel Endpoints for Use in Clinical Trials: Recommendations and Case Examples from the Clinical Trials Transformation Initiative

Launching the NESTcc Data Network to Improve the use of Real-World Evidence in the Medical Device Ecosystem

The Healthcare Pivot: Technology and Transformation of Healthcare

Podcast

Launching the NESTcc Data Network to Improve the use of Real-World Evidence in the Medical Device Ecosystem

REFERENCES

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Clinical Trials Transformation Initiative. 2016. Developing Novel Endpoints Generated by Mobile Technology for use in Clinical Trials. https://www.ctti-clinicaltrials.org/projects/novel-endpoints. Accessed July 24, 2017.

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Version History

March 3, 2026: Update as part of annual review (changes made by K. Staman).

July 2, 2020: Minor corrections to layout and formatting (changes made by D. Seils).

December 4, 2018: Updated text as part of annual review and added resources column (changes made by K. Staman).

Published August 25, 2017

current section :

Outcomes Measured via Digital Health Technology

  1. Introduction
  2. Meaningful Endpoints
  3. Outcomes Measured via the Electronic Health Record
  4. Inpatient Endpoints in Pragmatic Clinical Trials
  5. Using Death as an Endpoint
  6. Outcomes Measured via Digital Health Technology
  7. Outcomes Measured via Direct Patient Report

Citation:

Curtis L, Hernandez A, Weinfurt K. Choosing and Specifying Endpoints and Outcomes: Outcomes Measured via Digital Health Technology. In: Rethinking Clinical Trials: A Living Textbook of Pragmatic Clinical Trials. Bethesda, MD: NIH Pragmatic Trials Collaboratory. Available at: https://rethinkingclinicaltrials.org/chapters/design/choosing-specifying-end-points-outcomes/outcomes-measured-via-mobile-devices/. Updated March 6, 2026. DOI: 10.28929/013.

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