Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/45328
Title: A Markov cost-effectiveness modeling framework for evaluating wound dressings: A concept for practical implementation of economic evaluations in an informed dressing selection process
Authors: Yaniv, Tal
Beeckman, Dimitri
GEFEN, Amit 
Issue Date: 2024
Publisher: ELSEVIER SCI LTD
Source: Journal of tissue viability, 33 (4) , p. 938 -948
Abstract: Aims: Exemplify the potential of using health economy modeling and simulations to support and optimize wound dressing purchasing decisions. Materials and methods: We developed a Markov cost-effectiveness modeling framework fusing clinical and industry sources of healing and cost outcomes for evaluating dressings, focusing on polymeric membrane dressings compared to passive foam dressings without active inflammation modulation components. We calculated the wound care costs for patients with and without diabetes, as well as for infected and non-infected wounds, to illustrate the effectiveness of this model in supporting decision-making. Results: The model results demonstrated that polymeric membrane dressings reduce the cumulative treatment costs compared to passive foam dressings, due to fewer dressing changes and lower associated labor costs, regardless of the initial product price differences. Conclusion: Cost-effectiveness calculations should be performed in healthcare facilities to support purchasing decisions based on true cost analyses. Making purchasing decisions focusing on the dressing price alone may provide wrong estimates of the real cost differences.
Notes: Gefen, A (corresponding author), Tel Aviv Univ, Fac Engn, Dept Biomed Engn, IL-69978 Tel Aviv, Israel.
gefen@tauex.tau.ac.il
Keywords: Health economics;Cost analysis;Difficult-to-heal or non-healing wounds;Probabilistic Markov model;Monte Carlo computer simulations
Document URI: http://hdl.handle.net/1942/45328
ISSN: 0965-206X
e-ISSN: 1876-4746
DOI: 10.1016/j.jtv.2024.10.001
ISI #: WOS:001407160300001
Rights: 2024 Tissue Viability Society / Society of Tissue Viability. Published by Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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