Grand Rounds October 28, 2022: The HERO (Healthcare Worker Exposure Response & Outcomes) Program: An Online Community to Support Observational Studies, Randomized Trials, and Long-Term Safety Surveillance (Emily O’Brien, PhD, FAHA; Russell Rothman, MD, MPP)

Speakers

Emily O’Brien, PhD, FAHA
Associate Professor
Duke Clinical Research Institute
Duke University School of Medicine
Department of Population Health Sciences

Russell Rothman, MD, MPP
Senior Vice President, Population and Public Health
Director, Vanderbilt Institute for Medicine and Public Health
Vanderbilt University Medical Center

 

 

Keywords

HERO Registry; HERO TOGETHER; Hydroxychloroquine; COVID-19; PCORI; PCORnet

 

Key Points

  • On March 21, 2020, in response to the COVID-19 pandemic, PCORI contacted leadership at Duke Clinical Research Institute and PCORnet and a decision was made to focus on the space of healthcare workers. The HERO Program was fully approved and began recruiting participants on April 22, 2020.
  • The HERO Registry aimed to create a diverse virtual community of healthcare workers and their families and communities, ready for future COVID-19 research.
  • The HERO Registry explored topics that mattered most to participants and found these topics changed with time. Important issues early on included COVID-19’s effects on the workplace, vaccine access and willingness, and impact on home life. Later, burnout and lack of appreciation and support became larger issues.
  • The first trial undertaken by the HERO Program, HERO-HCQ, evaluated the efficacy of hydroxychloroquine (HCQ) to prevent COVID-19 in healthcare workers. Over 1300 participants were recruited from the HERO Registry. No statistically significant benefit was found.
  • The HERO TOGETHER study leveraged the HERO Registry to estimate real-world incidence of safety events among vaccinated individuals. The most common safety events reported included non-hospitalized arthritis/arthralgia and non-hospitalized non-anaphylactic allergic reaction.

Learn more

On the HERO Program website.

Discussion Themes

– The HERO Registry survey collected a large broad range of information. Participant feedback revealed that shorter more targeted surveys focusing on the most high-value information may have been less burdensome for participants..

– The creative multi-faceted approach to recruitment that includes diverse stakeholder engagement could be successful in creating research registries for other important health issues. .

Tags

#pctGR, @Collaboratory1

April 29, 2022: BP Track: National Surveillance for Blood Pressure Control and Related Process Metrics Using PCORnet (Mark J. Pletcher, MD, MPH; Rhonda Cooper-DeHoff, PharmD, MS; Alanna M. Chamberlain, PhD, MPH)

Speakers

Mark J. Pletcher, MD, MPH
Professor of Epidemiology and Biostatistics and Medicine
University of California, San Francisco

Rhonda Cooper-DeHoff, PharmD, MS, FAHA, FACC, FCCP
Association Professor and Research Foundation Professor
University of Florida College of Pharmacy

Alanna M. Chamberlain, PhD, MPH
Associate Professor of Epidemiology
Mayo Clinic

 

 

Keywords

Blood pressure; PCORnet; Common data model; BP MAP; BP Track; BP Home; COVID-19

 

Key Points

  • Uncontrolled blood pressure (BP) is the leading preventable cause of death in the US, but treatment methods and monitoring metrics are not consistent or clear across patients and healthcare systems.
  • PCORnet is made up of many health systems across the country. Varying types of electronic health record (EHR) data from these health systems are combined into a common data model.
  • The BP Control Laboratory, funded by PCORnet, used surveillance and efficient pragmatic randomized controlled trials to improve BP control in the US. Three projects were funded: BP Track, BP MAP, and BP Home.
  • BP Track leveraged the PCORnet common data model to create 10 blood pressure control metrics.
  • BP levels in the BP Tack study were fairly stable and controlled from 2017 to 2019, prior to the COVID-19 pandemic.
  • BP Track saw a substantial decrease in BP control during the COVID-19 pandemic that has not rebounded to pre-pandemic levels.

Discussion Themes

– The next iteration of the BP Track study hopes to collect data at the individual patient level in order to do individual risk modelling.

– The decrease in BP control during the pandemic may have future implications for increased cardiovascular disease.

Read more about the results from the BP Track study.

Tags

#pctGR, @Collaboratory1

April 27, 2022: This Week’s PCT Grand Rounds Will Feature BP Track, an EHR-Based National Blood Pressure Surveillance System

Head shots of Dr. Mark Pletcher, Dr. Rhonda Cooper-DeHoff, and Dr. Alanna ChamberlainIn this Friday’s PCT Grand Rounds, Dr. Mark Pletcher of the University of California, San Francisco, Dr. Rhonda Cooper-DeHoff of the University of Florida, and Dr. Alanna Chamberlain of the Mayo Clinic will present “BP Track: National Surveillance for Blood Pressure Control and Related Process Metrics Using PCORnet.” The Grand Rounds session will be held on Friday, April 29, at 1:00 pm eastern.

The BP Control Laboratory Surveillance System, or BP Track, is a serial, EHR-based, cross-sectional study of blood pressure control across the United States built on PCORnet. BP Track queries submitted through PCORnet are used to produce blood pressure control metrics for a series of 1-year measurement periods using blood pressure measurements obtained as part of standard clinical care, medication prescribing, and other EHR data linked to healthcare encounters.

Join the online meeting.

April 8, 2022: COVID-19 Surveillance in PCORnet: Year 2 Update (Jason Block, MD, MPH; Thomas W. Carton, PhD, MS)

Speakers

Jason Block, MD, MPH
Associate Professor
Harvard Pilgrim Health Care Institute
Harvard Medical School

Thomas W. Carton, PhD, MS
Chief Data Officer
Louisiana Public Health Institute

 

 

Keywords

PCORnet; COVID-19; Electronic health record (EHR); Surveillance data

 

Key Points

  • PCORnet is a national network of 66 million people with EHR-derived data available for research.
  • After significant database modifications to effectively include COVID-19 related data, the CDC PCORnet COVID-19 project began in April 2020 with the first query. 43 participating institutions update data monthly.
  • There have been 40 queries of the PCORnet COVID-19 data completed to date looking at descriptive trends of COVID-19 by care setting and demographics, vaccinations, chronic disease, and treatments.
  • PCORnet COVID-19 data tracks percent hospitalized and relative risk of testing positive for COVID-19 by race over time.
  • Data also shows treatment disparities with monoclonal antibodies over time by race and ethnicity. White patients or non-Hispanic patients who tested positive for COVID-19 were more likely to be treated with monoclonal antibodies than any other race or ethnicity.
  • PCORnet COVID-19 data have also been used to investigate myocarditis and pericarditis after both COVID-19 vaccination and COVID-19 infection. Males ages 12 to 29 have increased risk of cardiac complications after COVID-19 infection compared with COVID-19 vaccination.
  • PCORnet is evolving to improve the capture of information, advance analytics, and provide better collaboration between federal public health and PCORnet investigators.

Discussion Themes

    • Complete surveillance data is difficult to obtain when not all testing or vaccination is being reported.
    • State vaccination data does not always get added the EHR until the patient has another primary care encounter.
    • The ability to continue doing this kind of work relies on a national public health infrastructure.

Read more about PCORnet.

Tags

#pctGR, @Collaboratory1

April 6, 2022: COVID-19 Surveillance in PCORnet to Be Featured in Grand Rounds This Week

Headshots of Dr. Jason Block and Dr. Thomas CartonIn this Friday’s COVID-19 Grand Rounds session, Dr. Jason Block of Harvard Medical School and Dr. Thomas Carton of the Louisiana Public Health Institute will present “COVID-19 Surveillance in PCORnet: Year 2 Update.”

The Grand Rounds session will be held on Friday, April 8, at 1:00 pm eastern. Join the online meeting.

The NIH Pragmatic Trials Collaboratory Coordinating Center is using its popular Grand Rounds platform to share late-breaking research and promote resources in support of clinical researchers affected by the COVID-19 public health emergency. This week’s session will be the second presentation by Dr. Block and Dr. Carton about PCORnet’s COVID-19 surveillance. Access the previous session from June 5, 2020.

For previous COVID-19 Grand Rounds, and more news and resources related to the COVID-19 public health emergency, see the COVID-19 Resources page.

Grand Rounds April 8: COVID-19 Surveillance in PCORnet: Year 2 Update (Jason Block, MD, MPH; Thomas W. Carton, PhD, MS)

Speaker:

Jason Block, MD, MPH
Associate Professor
Harvard Pilgrim Health Care Institute
Harvard Medical School

Thomas W. Carton, PhD, MS
Chief Data Officer
Louisiana Public Health Institute

Topic: COVID-19 Surveillance in PCORnet: Year 2 Update
Date: Friday, April 8, 2022, 1:00-2:00 pm ET

Meeting Info: To check whether you have the appropriate players installed for UCF (Universal Communications Format) rich media files, go to https://dukemed.webex.com/dukemed/systemdiagnosis.php.

To join the online meeting:
Go to https://dukemed.webex.com/dukemed/j.php?MTID=m4c6e3e4827442a92338a5649cee613e6

Click ‘Connect to Audio”
Choose ‘Computer Audio’ or ‘I will call in’.
If using the ‘call in option’, follow the information from the dialog box that appears.
Be certain to use the Access Code AND the Attendee ID.

Troubleshooting:
If the URL above does not work, go to dukemed.webex.com and enter:
Meeting Number: 2622 682 0537
Meeting Password: 12345

For Audio ONLY:
Call-in toll number (US/Canada): 1-650-479-3207
Access code: 2622 682 0537

NOTE: For Toll-free users, the call-back (call me) services are also available.

Grand Rounds April 29: BP Track: National Surveillance for Blood Pressure Control and Related Process Metrics Using PCORnet (Mark J. Pletcher, MD, MPH; Rhonda Cooper-DeHoff, PharmD, MS; Alanna M. Chamberlain, PhD, MPH)

Speakers:

Mark J. Pletcher, MD, MPH
Professor of Epidemiology and Biostatistics and Medicine
University of California, San Francisco

Rhonda Cooper-DeHoff, PharmD, MS, FAHA, FACC, FCCP
Association Professor and Research Foundation Professor
University of Florida College of Pharmacy

Alanna M. Chamberlain, PhD, MPH
Associate Professor of Epidemiology
Mayo Clinic

Topic: BP Track: National Surveillance for Blood Pressure Control and Related Process Metrics Using PCORnet

Date: Friday, April 29, 2022, 1:00-2:00 p.m. ET

Meeting Info: To check whether you have the appropriate players installed for UCF (Universal Communications Format) rich media files, go to https://dukemed.webex.com/dukemed/systemdiagnosis.php.

To join the online meeting:
Go to https://dukemed.webex.com/dukemed/j.php?MTID=m4c6e3e4827442a92338a5649cee613e6

Click ‘Connect to Audio”
Choose ‘Computer Audio’ or ‘I will call in’.
If using the ‘call in option’, follow the information from the dialog box that appears.
Be certain to use the Access Code AND the Attendee ID.

Troubleshooting:
If the URL above does not work, go to dukemed.webex.com and enter:
Meeting Number: 2622 682 0537
Meeting Password: 12345

For Audio ONLY:
Call-in toll number (US/Canada): 1-650-479-3207
Access code: 2622 682 0537

NOTE: For Toll-free users, the call-back (call me) services are also available.

June 5, 2020: PCORnet COVID-19 Common Data Model Design and Results (Thomas Carton, PhD, MS; Keith Marsolo, PhD; Jason Perry Block, MD, MPH)

Speakers

Thomas W. Carton, PhD, MS
Chief Data Officer
Louisiana Public Health Institute

Keith Marsolo, PhD
Associate Professor
Department of Population Health Sciences
Duke Clinical Research Institute
Duke University School of Medicine

Jason Perry Block, MD, MPH
Associate Professor of Population Medicine
Department of Population Medicine Harvard
Pilgrim Health Care Institute
Harvard Medical School

Topic

PCORnet COVID-19 Common Data Model Design and Results

Keywords

COVID-19; PCORnet; Common Data Model; CDM; Data query; Health disparities; Distributed data network

Key Points

  • For data to be useful in research, they have to be standardized across systems. The PCORnet Common Data Model standardizes data into a single language, enabling fast insights.
  • All the core data elements needed to support COVID-19 research and surveillance have a home in the PCORnet CDM. The goal for PCORnet is to characterize the cohort of COVID-19 patients and provide detailed information on demographics and pre-existing conditions.

Discussion Themes

Can PCORnet partners stand up a version of the CDM with more up-to-date information to allow for a faster characterization of the PCORnet COVID-19 population?

Is there a query to discover and address COVID-19 health disparities and social determinants of health?

Can PCORnet and NCATS’ National COVID Cohort Collaborative (N3C) work together?

Read more about PCORnet’s code lists and case definitions on GitHub.

Tags

#COVID19, #pctGR, @Collaboratory1

June 3, 2020: NIH Collaboratory COVID-19 Grand Rounds Series Continues With the PCORnet COVID-19 Common Data Model

The NIH Collaboratory Coordinating Center is using its popular Grand Rounds platform to share late-breaking research and promote resources in support of clinical researchers affected by the COVID-19 public health emergency.

In this week’s COVID-19 Grand Rounds session, Dr. Thomas Carton of the Louisiana Health Institute, Dr. Keith Marsolo of Duke University, and Dr. Jason Block of Harvard Pilgrim Health Care Institute will present “PCORnet COVID-19 Common Data Model Design and Results.” The Grand Rounds session will be held on Friday, June 5, at 1:00 pm eastern. Join the online meeting.

Previous COVID-19 Grand Rounds:

For more news and resources related to the COVID-19 public health emergency, see the COVID-19 Resources page.

May 14, 2020: Healthcare Workers Invited to Join the HERO Registry

The Healthcare Worker Exposure Response & Outcomes (HERO) Registry invites both clinical and nonclinical healthcare workers to share their life experiences in order to understand the perspectives and problems faced by those on the COVID-19 pandemic frontlines. HERO Registry participants could have the opportunity to participate in future research studies to improve the understanding of COVID-19 and beyond, generating evidence to help healthcare workers stay safe and healthy.

The HERO Registry is open to all healthcare workers, including nurses, therapists, physicians, emergency responders, food service workers, environmental service workers, interpreters, transporters — anyone who works in a setting where people receive health care.

Learn more about the HERO Registry and how to join.

Don’t miss the recent COVID-19 Grand Rounds introducing the HERO Program and get the latest information and resources on COVID-19 for clinical researchers.