Grand Rounds March 20, 2026: FLUID: A Cross-Over Trial of Hospital Wide Ringer’s Lactate vs Normal Saline (Lauralyn McIntyre, MD, FRCPC, MSc; Monica Taljaard, PhD)

Speakers

Lauralyn McIntyre, MD, FRCPC, MSc
Senior Scientist, Acute Care Research Program
Ottawa Hospital Research Institute
Professor, University of Ottawa

Monica Taljaard, PhD
Senior Scientist
Methodological and Implementation Research
Ottawa Hospital Research Institute
Full Professor, School of Epidemiology and Public Health
University of Ottawa

Keywords

Fluids; Crystalloid fluids; Mortality; Hospital Readmission; Health Systems; Hospitals; Ringer’s Lactate; Saline

Key Points

  • Crystalloid fluids are among the most common interventions administered to patients; they touch nearly every person admitted to the hospital. However, the evidence base to inform their use is limited. Few trials were done until this past decade, and recent trials tend to focus on the critically ill. Though those studies found very small clinical outcome differences between fluids, even a 0.5% reduction in death and hospital readmission translates to 2,500 lives and $5 million saved in Ottawa alone.
  • The study team sought to address this study question at the hospital/health system level by comparing the effects of two usual care fluids, normal saline and Ringer’s Lactate, on the death or readmission of all hospitalized patients. After a pilot trial indicated feasibility, they launched FLUID: a cluster-randomized, cross-over trial across four Ontario hospitals.
  • The FLUID trial found a 0.5% reduction in death in the patients that received Ringer’s Lactate. This is a small but clinically meaningful reduction, with major implications for mortality at the hospital and health care system level. The findings are limited by the study’s early termination due to the COVID-19 pandemic.

Discussion Themes

While there are theoretical benefits to multiple crossovers, including the mitigation of period effects, the logistical burden of restocking an entire hospital’s fluid supply more than once was insurmountable.

The study team used a composite endpoint that gave hospital readmission the same weight as death. McIntyre attributed this decision to the significance of readmission for their patient partners and to its status as an indicator of resource use and subsequent mortality risk.

Trials disrupted by crises such as a pandemic or supply chain issues may be salvaged by Bayesian sequential testing, which allows researchers to assess data continuously without alpha penalties.

FLUID exemplifies the importance of asking simple, high-impact research questions. It was also incredibly cost-effective, costing less than $400,000 (in Canadian dollars) to conduct.

November 12, 2024: Duke-Margolis and Duke Health to Co-Host Webinar on AI Governance in Health Systems

On November 18, 2024 at 2 pm eastern, the Duke Margolis Institute for Health Policy and Duke Health will co-host “From Principles to Practice: Exploring AI Governance in Health Systems.” In this public webinar, Duke-Margolis and Duke Health will discuss their newly released white paper on how health systems are navigating the role of AI governance.

The webinar will begin with an overview presentation of key takeaways from the white paper, followed by a fireside chat where experts will discuss the benefits of governance and lessons learned while building their own AI governance processes. After the fireside chat, there will be a panel discussion on methods and supports to facilitate the democratization of AI governance so more health organizations can safely and responsibly use these novel tools.

Registration is required for participation, but there is no cost to attend. Continuing education credits are available for several disciplines for participants who are affiliated with VA. Contact margolisevents@duke.edu with any questions.

Learn more and register today.

Grand Rounds October 4, 2024: Health Trends Across Communities – A Novel Health System-Public Health Data Partnership (Tyler Winkelman, MD, MSc; David Johnson, MPH)

Speakers

Tyler Winkelman, MD, MSc
Division Director, General Internal Medicine
Hennepin Healthcare
Co-Director, Health, Homelessness, and Criminal Justice Lab
HHRI

David Johnson, MPH
Health Informatics and Epidemiology
Program Manager
Hennepin County

Keywords

Electronic Health Record; Data Sharing; Public Health; Health Systems; Partnerships

Key Points

  • Collaboration across public health and health care is essential to developing actionable data for both sectors. Electronic Health Record (EHR) data can be used to fill the gaps in public health data and foster collaboration.
  • During the COVID-19 pandemic, it became clear that data infrastructure in the U.S. was underdeveloped. This made addressing COVID-19 challenging, is currently making addressing the overdose crisis challenging, and puts the country at risk for any future epidemics.
  • The Minnesota EHR Consortium (MNEHRC), formed in March 2020, facilitated collaboration between health systems in order to address gaps in COVID-19 data sharing and communication. They were able to develop the technical infrastructure to aggregate and share EHR data for real-time public health needs. Over time, the prioritization of data sharing for developing broader community health indicators became possible.
  • MNEHRC’s mission is to improve health by informing policy and practice through data-driven collaboration among members of Minnesota’s health care community. Dashboards are publicly available at www.mnehrconsortium.org.
  • Dr. Winkelman described how they built out a common data model at each of the MNEHRC health systems using Observational Medical Outcomes Partnership (OMOP), a common language for EHR data. OMOP was chosen because it’s open-source; it has a robust international online community; and some sites in the state had experience with OMOP, which helped with capacity building.
  • MNEHRC and Hennepin County’s Center for Community Health partnered to build Health Trends Across Communities (HTAC-MN), a unique data collaboration of health systems and public health agencies. They seek to develop comprehensive community health data infrastructure in Minnesota, ultimately strengthening community capacity to build healthy communities and promoting health equity.
  • Next steps for HTAC include developing and implementing processes to identify and prioritize new conditions; evaluating HTAC; and developing a plan for long-term sustainability.

Discussion Themes

Developing a central data model facilitated the collaboration.

Onboarding Federally Qualified Health Centers (FQHCs) to the consortium takes longer because of their internal capacity restraints. The team has had to be creative with figuring out how to onboard them; they are adding FQHCs in Hennepin County through EPIC affiliate agreements with Hennepin Healthcare and other sites through Minnesota’s quality measurement agency.

This is a new tool with a lot of potential, especially for the field of public health; researchers could use it to measure the impact of large-scale public health interventions. The HTAC team hopes that they’ll be able to further define the value that the data source can offer over the next few years.

Grand Rounds (4-4-2014): Defining Denominator Populations Within and Across Complex Health Systems

Update:

Archived video and slides from the April 4 Grand Rounds are now available on the NIH Collaboratory Grand Rounds webpage.


This Friday’s NIH Collaboratory Grand Rounds (“Defining Denominator Populations Within and Across Complex Health Systems”) will be presented by Greg Simon, MD, MPH, of the Group Health Research Institute. Dr. Simon is the principal investigator for the NIH Collaboratory Trial “Pragmatic Trial of Population-Based Programs to Prevent Suicide Attempt” (detailed description available here).

The Grand Rounds presentation will take place from 1:00-2:00 PM Eastern time on Friday, April 4. Archived video and slide sets from the presentation will be available early the following week; links to archived material will be provided in an update to this post.