Burnout Study

It is estimated that as many as 50% of healthcare providers in the United States are experiencing burnout at any given point in time. When controlling for the death code assignment, it is approximated that medical errors are the third leading cause of death in the United States with physician burnout being a significant contributing factor.

Currently most healthcare systems and physicians practices are limited in their ability to effectively identify and report on physician burnout and its related impacts. This study seeks to be the most wide-ranging study to date on the topic using advanced methodologies to benchmark and then identify the main causes behind physician burnout.


The Study

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Six Sents is partnering with industry thought-leaders and academics on a ground-breaking study of Clinical Burnout. This study will be comprised of several thousand clinicians from healthcare institutions across the country.  

The purpose of the study is to explore the limitations of the survey model in understanding and mitigating burnout, and identify how behavioral indications are better predictors for improving understanding and providing early-indicators to avoid burnout.  The study will begin in January 2018 and run throughout the year with final analysis and publications coming in 2019.


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The Participants

Thought leaders in the healthcare industry who wish to advance the study and participate in understanding clinical burnout as well as the correlated impacts are invited to register as study data partners before November 30, 2017.

The study will be limited to those healthcare organizations with over 3k employed, active providers in their system.


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The Method

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The study will compare standard pulse survey methods for benchmarks rates with a new measurement method called Real-Time Observational Study (RTOS).

The two ways of measuring physician burnout will be compared using historic and ongoing data gathering to demonstrate the efficacy of utilizing various real-time data streams to monitor physician burnout and identify predicted outcomes and causal correlations instead of the current latent survey data method.


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The Study Team

Dike Drummond, MD, The Happy MD

Geri Puleo, PhD, SPHR,Change Management Solutions, Inc.

Keith McCormick, Data Design

Benjamin T. Allen, PhD, Scientific Positioning and Research

Salman Azhar, PhD, Duke University

Tony Bird, Six Sents Inc. and Compathy Health

Nicole M. Miller, Six Sents Inc. and Compathy Health