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A cost analysis of a 5-day simulation-based learning program for speech-language pathology student training.

Elizabeth C Ward^1,2, Emma Caird¹, Saval Khanal³

¹School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia.

International Journal of Speech-Language Pathology

|September 5, 2022

Summary

This study analyzed the financial and economic costs of a 5-day simulation-based learning program for speech-language pathology students. Personnel costs were the largest expense, highlighting the need for cost-minimization strategies in simulation-based education.

Keywords:

costs analysis simulation speech–language pathology

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Area of Science:

Medical Education
Health Professions Education
Simulation-Based Learning

Background:

Reporting on the costs of simulation in health professions education is often inadequate, hindering transparent financial planning.
Understanding the financial and economic implications of simulation-based learning programs is crucial for institutions.
Speech-language pathology programs increasingly utilize simulation for training, necessitating cost analysis.

Purpose of the Study:

To conduct a financial analysis of university/training institution costs for a 5-day simulation-based learning program for speech-language pathology students.
To determine the economic costs associated with this simulation model.
To provide transparent cost data to aid institutions in implementing and optimizing simulation-based learning.

Main Methods:

Collected financial data for a 5-day simulation program across six Australian universities, covering pre-program training, personnel, room hire, equipment, and consumables.
Calculated both financial and economic costs in Australian dollars (June 2017) per university site and per student.
Analyzed cost variations attributed to labor costs and in-kind support.

Main Results:

The program involved 176 students across 21 runs, with average financial costs per program ranging from $4717 to $11,425.
Average financial cost per student was $859, nearly doubling to $1461 when considering economic costs.
Personnel constituted the largest cost component (76.6% of financial costs) in both financial and economic analyses, followed by room hire.

Conclusions:

This study offers clear financial and economic costing data for a 5-day simulation-based learning program.
The findings assist universities in estimating upfront financial investments for simulation-based learning.
Data can inform strategies for minimizing financial costs when integrating simulation into university curricula.