September 13, 2019: ADAPTABLE Recruitment and Follow-up: Health Plan Research Network Engagement (Kevin Haynes, PharmD, MSCE)

Speaker

Kevin Haynes, PharmD, MSCE
Principal Scientist
HealthCore, Inc.

Topic

ADAPTABLE Recruitment and Follow-up: Health Plan Research Network Engagement

Keywords

Real-world evidence; Real-world data; Study design; Claims data; ADAPTABLE; Patient recruitment; Pragmatic clinical trial; Electronic health record; Informed consent; Learning health system

Key Points

  • We need integrated EHR data and claims data in order to close evidence gaps in observational pharmacoepidemiology studies and comparative effectiveness trials.
  • The health plan claims data environment can be leveraged to support real-world evidence studies.
  • An integrated health plan network database can be a resource for data about eligibility, lab test results, and pharmacy claims. In a pragmatic clinical trial, using health plan data can provide a longitudinal electronic approach to endpoint ascertainment.

Discussion Themes

Have you had a chance to do any cost analysis of this high-volume, low-touch method of recruitment?

In the ADAPTABLE enrollment portal, it seems the biggest chunk of time (reading about the study) came before the screening questions. Do you think swapping the order might have improved enrollment?

Read more about the ADAPTABLE pragmatic trial.

Tags

#pctGR, @Collaboratory1, @HealthCoreRWE

September 13, 2019: HiLo Awarded Continuation From Planning to Implementation Phase

The investigators of HiLo, an NIH Collaboratory Trial, have received approval to move from the planning phase to the implementation phase of their study. Congratulations to Dr. Myles Wolf and the HiLo study team for their excellent work!

HiLo (Pragmatic Trial of Higher vs. Lower Serum Phosphate Targets in Patients Undergoing Hemodialysis) is designed to answer the question of what is the optimal level of serum phosphate for patients with end-stage renal disease (ESRD) who are undergoing hemodialysis. In an effort to improve clinical outcomes, current practice guidelines advocate aggressive treatment of high blood phosphate to near normal levels using dietary phosphate binders and restrictive diets. Yet, the optimal phosphate target remains unknown, and potential harms of aggressive treatment have not been definitively identified. HiLo is the first formal clinical research study to evaluate this important question. The study team is planning the first wave of site activations with the goal of beginning enrollment at 10 dialysis centers in the Raleigh-Durham area in October or November.

We recently asked Dr. Wolf to reflect on the transition of the HiLo trial.

Were there any surprises during the study’s planning phase?

How much work was required to plan a large pragmatic trial! Fortunately, we have a superb team of investigators and study staff who are deeply invested in the trial, deep expertise at the Duke Clinical Research Institute, full engagement of our partners at DaVita and the University of Utah, invaluable insight from our Patient Ambassadors from the American Association of Kidney Patients, and unwavering support from the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) and the NIH Collaboratory.

What is an example of a challenge that you were able to overcome with the help of a Core group?

The Ethics and Regulatory Core helped us work through unique challenges related to obtaining individual-level informed consent in a cluster-randomized trial. The Biostatistics and Study Design Core and a number of outside statistical consultants helped us identify a novel solution for designing and analyzing a primary outcome of the trial that best aligns with the study’s clinical goal.

“We hope that the experience we gained from HiLo related to application of novel methods for pragmatic trials will stimulate further innovation and enhance the design of future studies in our field, ultimately for the benefit of kidney patients.” – Dr. Myles Wolf, PI of HiLo

What other key challenges have you faced?

We learned from the Ambassadors on our Patients Advisory Group about how important it will be to convince dialysis facility staff and patients that it is justified and important for the study to reevaluate what has been dogma in ESRD treatment: that serum phosphate must be lowered aggressively. We have had to grapple with how to deploy an electronic process to obtain informed consent remotely—a first in U.S. dialysis studies—given that we will not have on-site study coordinators in the participating dialysis facilities. We also had to develop, refine, and defend our use of a newer statistical approach to HiLo’s primary hierarchical composite outcome of all-cause mortality and all-cause hospitalizations. The approach, which is gaining traction in other areas, has not been used in large-scale trials in nephrology. While the process of preparing for this trial was long and required substantial hard work from a large team of investigators and study staff, we hope that the experience we gained from HiLo related to application of novel methods for pragmatic trials will stimulate further innovation and enhance the design of future studies in our field, ultimately for the benefit of kidney patients.

What words of advice do you have for investigators conducting their first embedded PCT?

Get to know the people—patients and professionals—who need to be invested and will be affected by your study and its outcomes. Understand their interests and concerns even if it goes against what you think you know. These early conversations will help identify hurdles at a time when they can be readily addressed and the study enhanced. Be patient and be prepared to work, and work some more. And ask for more money … pragmatic plus more resources is still pragmatic!

Additional details about the study are on the HiLo website.

NIH Collaboratory Trials begin with a 1-year, milestone-driven planning phase. Projects become eligible to move to the implementation phase after an administrative review of progress toward scientific milestones and feasibility requirements. Throughout the process, the project team interacts with the Core Working Groups and investigators from the other NIH Collaboratory Trials.

HiLo is supported within the NIH Collaboratory by a cooperative agreement from the NIDDK and receives logistical and technical support from the NIH Collaboratory Coordinating Center. Read more about HiLo in the Living Textbook, and learn more about the NIH Collaboratory Trials.

September 6, 2019: Transforming Medical Evidence Generation with Technology-Enabled Trials (Matthew T. Roe, MD MHS)

Speaker

Matthew T. Roe, MD, MHS
Senior Investigator, Professor of Medicine
Duke Clinical Research Institute

Topic

Transforming Medical Evidence Generation with Technology-Enabled Trials

Keywords

Mobile clinical trials; Real-world evidence; Real-world data; Study design; Regulatory oversight; Digital health; Mobile health applications; Biosensors; Electronic health records

Key Points

  • Digital health applications and electronic health records provide tremendous opportunities for improving trial efficiencies, broadening patient participation, and reducing cost.
  • Novel approaches that can help reduce data collection burden for study sites include importing EHR data directly into the trial database, collecting patient-reported outcomes through web-based portals, and incorporating digital health data from wearables and biosensors.
  • To realize the potential of new technology, cross-sectional partnerships are needed among research participants, researchers, biopharma device industries, professional medical associations, insurers, FDA, clinicians, health IT, contract research organizations, and health systems.

Discussion Themes

How many potential patients might we lose if having a smart phone is an inclusion criterion for a clinical study?

How can we ensure that the clinical trial infrastructure is inclusive of minority populations, especially those in rural settings?

What is the role of physicians in reaching a large number of participants who are not near an academic research center?

Ultimately, in clinical trials, the data are what matter and what decisions are based on. We need to understand data quality and standards for the data to be accepted.

Read more about digital health at FDA’s Digital Health website.

Tags

#pctGR, @Collaboratory1, @MTRHeart

August 23, 2019: Oh Yes, We Have Tons of Patients Who Can Do This Study! (Vanita R. Aroda, MD)

Speaker

Vanita R. Aroda, MD
Director of Diabetes Clinical Research
Brigham & Women’s Hospital
Harvard Medical School

Topic

Oh Yes, We Have Tons of Patients Who Can Do This Study!

Keywords

Patient engagement; Patient recruitment and retention; Clinician engagement; Health care systems; Multicenter clinical trials; Electronic health record

Key Points

  • Research occurs beyond the silo. Effective large-scale multicenter clinical trial recruitment requires an accessible network of potential participants.
  • Engage colleagues and the healthcare system as part of the collaborative journey across the trial’s lifecycle.
  • It is highly recommended to do a role-playing exercise with the study team to prevent fumbles when engaging and recruiting study participants.
  • The science, the protocols, and the data are all important, but it is the essential human element that makes it all happen.

Discussion Themes

Participant retention is really a continuation of good recruitment and engagement.

Make sure your database query makes clinical sense and is the best fit to answer your study question. Don’t spend time on the wrong data.

What other recruitment opportunities or techniques can sites use after they exhaust their patient panel?

Read more about the scalability of an EHR-based approach to patient recruitment in a diabetes study by Dr. Varoda and colleagues in Clinical Trials (2019).

Tags

#pctGR, @Collaboratory1

Podcast August 21, 2019: Digital in Trials: Improving Participation and Enabling Novel Endpoints (Craig Lipset)

In this episode of the NIH Collaboratory Grand Rounds podcast, Dr. Kevin Weinfurt sits down with Craig Lipset to discuss the role and impact of digital in trials. In the discussion, Lipset highlights displacement and its impact on traditional research models, the concept of digital twins, and opportunities that stakeholders have to address the barriers to meaningful adoption of digital technologies in clinical research.

Click on the recording below to listen to the podcast.

Want to hear more? View the full Grand Rounds presentation.

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Read the transcript.

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August 16, 2019: Introducing the Digital Medicine Society (Andy Coravos, MBA, Jen Goldsack, MS, MBA)

Speakers

Andy Coravos
CEO, Elektra Labs
Fellow, Harvard-MIT Center for Regulatory Science
Co-founder, Digital Medicine Society (DiMe)

Jen Goldsack, MS, MBA
Interim Executive Director, DiMe
Portfolio, Strategy & Ops, HealthMode

Topic

Introducing the Digital Medicine Society

Keywords

Digital medicine; Mobile health; Digital technologies; Wearable health devices; Connected devices; Cybersecurity

Key Points

  • Digital medicine is a rapidly evolving field that is by nature multidisciplinary and introduces new considerations for the healthcare community.
  • The Digital Medicine Society (DiMe) sits at the intersection of two communities: healthcare and technology. The Society is helping to move the field of digital medicine forward by developing a common language for diverse stakeholders from engineers and ethicists to payers and providers.
  • The U.S. healthcare system has strong protections for patients’ biospecimens like blood or genomic data, but what about digital specimens?

Discussion Themes

Are digital medical technologies worthy of the trust we place in them?

Should there be a Hippocratic Oath for manufacturers, organizations, and individuals delivering care through connected medical devices?

Read more about the emerging field of digital medicine and learn more about the Digital Medicine Society (DiMe), the professional home for those who practice and develop products in the digital era of medicine.

Tags

#DigitalMedicine, #pctGR, @Collaboratory1, @_DiMeSociety

August 9, 2019: Open Science: Are we there yet? (Adrian Hernandez, MD)

Speaker

Adrian Hernandez, MD
Professor of Medicine
Vice Dean for Clinical Research
Duke University, School of Medicine

Topic

Open Science: Are We There Yet?

Keywords

Open science; Data sharing; Secondary analyses; Research collaboration

Key Points

  • Open science involves the responsible sharing of research data for the purpose of scientific advancement, integrity, and transparency.
  • Various stakeholders have made progress toward sharing clinical trial data, including:
  • Guiding principles of open science include appropriate access to research information; proper oversight with minimum barriers to data access; maintaining utility of data; an expectation that results of shared data will similarly be shared; and acknowledgment of those who contribute original data.
  • Despite efforts at supporting open science, no academic institution has an open science policy yet.

Discussion Themes

Open science remains an important goal to build trust and expand knowledge.

Data sharing is not a traditional measure of academic success. What incentives would need to change in order to support open science?

Tags

#OpenScience, #DataSharing, #pctGR, @Collaboratory1, @texhern

August 5, 2019: New Section of Living Textbook Addresses Missing Data in Intention-to-Treat Analyses

A new section of the NIH Collaboratory’s Living Textbook of Pragmatic Clinical Trials discusses challenges associated with missing data that result from noncompliance, crossover, and dropout.

Many randomized controlled trials use an intention-to-treat (ITT) analysis to measure the real-world effects of the intervention. The newly published section, Missing Data and Intention-to-Treat Analyses, considers the population-level causal effects in these trials when there is noncompliance or missing outcome data.

“One rationale for the ITT approach is that it evaluates the real-world effects of the intervention. However, a common misconception is that the ITT analysis will be unbiased regardless of crossover or missing data.”

The new section also introduces a white paper from the NIH Collaboratory’s Biostatistics and Study Design Core, “Analyses of Randomized Controlled Trials in the Presence of Noncompliance and Study Dropout.” This working document offers analysts a more detailed discussion of treatment effects in ITT analyses, including a case example and recommended strategies for estimating and reporting both ITT effects and average causal effects.

The Biostatistics and Study Design Core works with the NIH Collaboratory Trial teams to create guidance and technical documents regarding study design and biostatistical issues relevant to pragmatic clinical trials.

August 2, 2019: AI and the Future of Psychiatry (Murali Doraiswamy, MBBS)

Speaker

Murali Doraiswamy, MBBS
Professor of Psychiatry and Behavioral Sciences
Duke School of Medicine

Topic

AI and the Future of Psychiatry

Keywords

Artificial intelligence; Machine learning; Psychiatry; Ethical adoption of technologies; Mental health; Wearables; Mobile health

Key Points

  • There is growing evidence from randomized controlled trials of the efficacy of using digital tools in mental health diagnosis and treatment.
  • Could artificial intelligence (AI) and machine learning technologies be used to:
    • Reduce the stigma associated with mental health treatment?
    • Predict the risk for future suicide?
    • Detect Alzheimer’s years before diagnosis?
  • Categories of AI applications include low-risk apps that measure but do not diagnose, and apps used in diagnosis or treatment that must meet the same high standards of evidence as medications.
  • Clinicians still struggle with how to integrate patient data from wearable devices. AI technology might help if it could be used to synthesize the data into a risk profile for an individual.

Discussion Themes

What are the roles of stress, exercise, and sleep in mental health, and can autonomic data from wearables help explain the variance in mental health symptoms?

To develop evidence thresholds for AI, we need larger scale public-private partnerships as well as pragmatic trials addressing key clinical questions.

Read more from Dr. Doraiswamy in How to Use Technology Ethically to Increase Access to Mental Healthcare.
Tags

#AI, #pctGR, @Collaboratory1

July 26, 2019: Digital in Trials: Improving Participation and Enabling Novel Endpoints (Craig H. Lipset)

Speaker

Craig H. Lipset
Former Head of Clinical Innovation, Pfizer

Topic

Digital in Trials: Improving Participation and Enabling Novel Endpoints

Keywords

Digital tools; Clinical trials; Participant experience; Patient engagement; Clinical Trials Transformation Initiative

Key Points

  • To improve trial participation, start by understanding the user/consumer; ie, the trial participant and his or her trial experience.
  • Digital improvements in clinical trials can involve these incremental steps:
    • Study planning that is data-driven, crowdsourced, and informed by artificial intelligence
    • Patient engagement that implements electronic consent, flexibility in location, digital concierge support, and data ownership
    • Study conduct that integrates remote monitoring, digital biomarkers, and electronically sourced data
    • Analysis and reporting that is automated and includes dissemination to trial participants

Discussion Themes

Will digital tools in medicine development enable improvement, disruption, or displacement?

Digital tools in development focus on breaking down barriers to participation, using digital to improve existing measurement or enable new endpoints, and automating processes and tasks while improving quality.

Tags

#pctGR, @Collaboratory1