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How Clinicians Navigate Drug-Drug Interactions to Protect Patients

by Fred Pennic 01/16/2024 Leave a Comment

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What You Should Know:

– Drug-drug interactions, a silent threat lurking in medication charts, can cause significant harm and even death. Yet, despite their prevalence, little is known about how doctors identify and manage these risks in real-time.

– A recent groundbreaking study sheds light on this crucial yet under-examined process, offering valuable insights to improve patient safety.

Unveiling the Decision-Making Maze

Led by Dr. Michael Weiner and Dr. Alissa Russ-Jara, the research team meticulously analyzed doctors’ thought processes while navigating potential drug interactions. Their work focused on “positive cases,” instances where doctors successfully identified and mitigated an interaction risk. This deep dive revealed 19 key cognitive cues doctors rely on, including:

  • Severity Assessment: Doctors weigh the potential severity of the interaction, considering the type and duration of side effects, and the patient’s specific vulnerabilities.
  • Patient-Centric Approach: Medical history, existing conditions, and the patient’s individual needs for each medication heavily influence decision-making.
  • Seeking Alternatives: Exploring safer medication options, adjusting dosages, or even stopping one medication are all potential solutions doctors consider.
  • Patient Education: Empowering patients to recognize warning signs of adverse reactions is a crucial part of risk mitigation.

Beyond Alerts: Designing for Real-World Decisions

The study goes beyond simply understanding doctor’s thinking; it offers concrete recommendations to improve electronic health record (EHR) systems, the primary source of drug interaction alerts. These recommendations include:

  • Timely and Actionable Information: Alerts should clearly convey the time frame of potential interaction effects, enabling doctors to prioritize risks with immediate consequences.
  • Side-by-Side Comparisons: Providing easy access to alternative medications within the alert itself, alongside relevant patient characteristics, can streamline informed decision-making.
  • Smart Alert Displays: Leveraging data analytics to present tailored suggestions for alternative drugs based on the doctor’s specific evaluation criteria can significantly decrease cognitive load and improve efficiency.
  • Patient-Focused Recommendations: Alerts should go beyond simply highlighting a risk; they should offer concrete suggestions for patient engagement and monitoring, empowering both doctors and patients to actively manage the situation.

A Roadmap for Safer Treatment

This study represents a significant step forward in the fight against drug-drug interactions. By demystifying doctors’ decision-making processes and offering practical solutions for EHR improvements, it paves the way for a future where these silent threats are effectively identified and mitigated, ultimately leading to safer, more informed treatment for all patients.

“Drug-drug interactions are very common, more common than a lot of people outside the healthcare system expect. In the U.S., these interactions lead to hundreds of thousands of hospitalizations in any given year at an enormous cost,” said study senior author Michael Weiner, M.D., MPH., of U.S. Department of Veterans Affairs, Regenstrief Institute and Indiana University School of Medicine. “Most of these drug interactions are preventable.

“This study was needed because we previously didn’t have a great understanding of how clinicians make decisions in assessing these interactions. No one had really taken apart the thinking process step-by-step to understand it from the beginning to the end. There’s a patient, there’s a drug and another drug. There is now a potential interaction. There’s been a decision about how to resolve it following an assessment and then a resolution process. Understanding all this is very important if we are hoping to design improvements to the medical system that enhance patient safety.”

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Tagged With: deadly drug-to-drug interactions, Pharmacy

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