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Updated: Jan 15, 2026

Author Spotlight: Self-Assessment Protocol for Predicting Psoriatic Arthritis in Psoriasis Patients
Published on: March 1, 2024
What drives patient cost variability in psoriasis care: a single centre study
Erin Roman1,2, Filip Roodhooft3,4, Jo Lambert5
1Faculty of Business Economics, Hasselt University, Martelarenlaan 42, Hasselt, Belgium. erin.roman@outlook.com.
Psoriasis treatment costs vary significantly, with new patients costing more. Understanding these costs is key for better healthcare efficiency and patient transparency in managing chronic skin conditions.
Area of Science:
- Dermatology and Health Economics
- Healthcare Management and Policy
Background:
- Psoriasis, a chronic inflammatory skin disease, imposes a significant economic burden on global healthcare systems.
- This study focuses on the provider's perspective of psoriasis consultations to generate cost data for value-based care.
- It aims to identify cost variability drivers, explore efficiency opportunities, and estimate annual treatment expenses.
Purpose of the Study:
- To analyze consultation-level cost drivers in psoriasis care.
- To estimate one-year treatment costs for psoriasis patients.
- To inform the development of bundled payment models and promote cost transparency.
Main Methods:
- Time-Driven Activity-Based Costing (TD-ABC) was employed to measure costs for 127 mild-to-moderate psoriasis patients.
- Data included nurse and physician time, patient status, therapy type, and comorbidities.
- Descriptive analyses were used to assess mean costs and variability.
Main Results:
- Mean consultation costs averaged €55, with new patients costing 40% more than returning patients.
- Key cost drivers included patient status, therapy switches, nurse experience, and physician consultation factors.
- Annual treatment costs ranged from €325 for topicals to €11,920 for biologics.
Conclusions:
- Substantial variability exists in psoriasis consultation and annual treatment costs.
- Detailed cost data is crucial for optimizing workflows, resource allocation, and designing payment models.
- Improving cost transparency enhances clinical and financial decision-making for chronic disease management.
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