Time Driven Activity Based Costing of Management Pathways for Vesicoureteral Reflux

Lucshman Raveendran1,2, Darius Bagli2, Fardod O'Kelly2

  • 1Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.

Urology Practice
|May 5, 2023
PubMed

Insights

Vesicoureteral reflux management costs vary significantly across treatment pathways, including watchful waiting and surgical options. Time-driven activity-based costing reveals key cost drivers for pediatric urology care.

Area of Science:

  • Pediatric Urology
  • Health Economics
  • Cost Analysis

Background:

  • Vesicoureteral reflux is a common pediatric diagnosis with unpredictable management costs due to variable treatment approaches.
  • Understanding institutional costs is crucial for financial planning and resource allocation in pediatric urology.

Purpose of the Study:

  • To characterize the institutional costs of three distinct management pathways for pediatric vesicoureteral reflux using time-driven activity-based costing.
  • To identify specific cost drivers within each management strategy.

Main Methods:

  • Process maps were created for "watch and wait," minimally invasive endoscopic surgery, and open re-implantation surgery for a hypothetical pediatric patient.
  • Institutional costs were calculated using capacity cost rates and resource utilization data from direct observation and electronic medical records.

Main Results:

  • Total costs varied widely: "watch and wait" ($1,683.58-$2,041.12), endoscopic surgery ($2,616.35-$4,012.89), and open re-implantation ($3,317.76-$3,924.82).
  • Diagnostic imaging (dimercaptosuccinic acid scans, voiding cystourethrograms) and surgical materials represented significant cost components.
  • Operating room time and inpatient stay were major cost contributors for open re-implantation surgery.

Conclusions:

  • Time-driven activity-based costing effectively highlights significant cost variations in vesicoureteral reflux treatment.
  • Identifying local cost drivers allows for targeted interventions to optimize resource utilization and potentially reduce healthcare expenses.
Abstract

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