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A Real-World High-Intensity Interval Training Protocol for Cardiorespiratory Fitness Improvement

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A Model for Work Intensity in a Pediatric Training Program.

Janani Sundaresan¹, Sebastian Ty Ferrell², Jonathan D Hron³

¹is a PGY-3 Resident, Boston Combined Residency Program, Department of Pediatrics Boston Children's Hospital and Boston Medical Center.

Journal of Graduate Medical Education

|January 2, 2023

Summary

This summary is machine-generated.

Electronic health record data can estimate resident work intensity. Text messages, orders, and patient transfers significantly correlate with intern workload, aiding program monitoring.

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Area of Science:

Medical Education
Health Informatics
Patient Care

Background:

Accreditation Council for Graduate Medical Education mandates monitoring of resident scheduling, work intensity, and compression.
Understanding and quantifying resident work intensity is crucial for program improvement and trainee well-being.

Purpose of the Study:

To develop a model for assessing intern work intensity using electronic health system data.
To identify patient and clinical factors associated with subjective intern work intensity scores.

Main Methods:

Surveyed pediatric hospital medicine interns on daily work intensity using a -100 to +100 scale.
Extracted patient care activities from electronic health systems for days surveyed.
Employed multiple linear regression to correlate survey scores with electronic health system data.

Main Results:

Nineteen interns provided 102 responses; mean work intensity was 9.82.
Univariate analysis showed text messages, orders entered, and consults ordered significantly correlated with work intensity.
A stepwise regression model (R²=0.247) identified text messages, patient transfers, orders entered, and national patients as significant factors.

Conclusions:

Electronic health system data can effectively estimate resident work intensity.
This model provides a quantifiable method for programs to monitor and address intern workload.