Multi-Criteria Model for Evaluating Drugs to Prevent Deep Venous Thrombosis Associated With Orthopedic Surgery: A Hospital-Based Case Study

dc.contributor.authorMorais, QuĂȘnia Cristina D
dc.contributor.authorSantos, Marisa S
dc.date.accessioned2022-08-09T12:44:36Z
dc.date.available2022-08-09T12:44:36Z
dc.date.issued2020
dc.description.abstractBackground: It's estimated that 40% to 60% of patients undergoing major orthopedic surgery of the hip or knee who do not receive thromboprophylaxis will develop deep venous thrombosis Instituto Nacional de Traumatologia e Ortopedia has established a guideline to prevent DVT with the administration of the Enoxaparin. Recently, institute stakeholders have been questioning this guideline as new oral anticoagulants that offer more comfort and efficacy, but present higher risk of bleeding, have been appearing in the market for treating deep venous thrombosis. Objective: This study aims to validate the application of a multicriteria decision analysis in a real-world problem, the use of rivaroxaban and enoxaparin to prevent deep venous thrombosis. Methods: The multicriteria method MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique) was used in a decision conferencing process to develop an evaluation model for measuring the relative value of the drugs on each evaluation criterion, separately and globally. The model-building process was informed by a literature review and meta-analysis of randomized clinical trials with a critical appraisal of the evidence. Results: We report a model-structure with eight criteria, each one associated with a weighting coefficient and value function. Following a simple additive aggregation process, the model-outputs showed that Rivaroxaban was considered a robust option for DVT. Sensitivity analysis and robustness analysis were performed and testify the consistency of the results. Conclusion: This article contributes to literature by showing how MACBETH method can be combined with scientific evidence and participatory group processes, for health technology assessment in hospitals.
dc.identifier.citationMorais QCD, Santos MS. Multi-Criteria Model for Evaluating Drugs to Prevent Deep Venous Thrombosis Associated With Orthopedic Surgery: A Hospital-Based Case Study. Value Health Reg Issues. 2020 Dec;23:105-111. Doi: 10.1016/j.vhri.2020.08.002
dc.identifier.otherDOI: 10.1016/j.vhri.2020.08.002
dc.identifier.urihttps://dspace.inc.saude.gov.br/handle/123456789/72
dc.language.isoen
dc.publisherValue in Health Regional Issues
dc.subjectMACBETHen
dc.subjectAnticoagulation therapyen
dc.subjectDecision support techniquesen
dc.subjectHealth technology assessmenten
dc.subjectMulticriteria decision analysisen
dc.subject.meshVenous Thrombosis / prevention & controlen
dc.subject.meshVenous Thrombosis / epidemiologyen
dc.subject.meshVenous Thrombosis / drug therapyen
dc.subject.meshRivaroxaban / therapeutic useen
dc.subject.meshRivaroxaban / economicsen
dc.subject.meshRivaroxaban / adverse effectsen
dc.subject.meshPostoperative Complications / prevention & controlen
dc.subject.meshPostoperative Complications / epidemiologyen
dc.subject.meshPostoperative Complications / economicsen
dc.subject.meshPharmaceutical Preparations / standardsen
dc.subject.meshPharmaceutical Preparations / economicsen
dc.subject.meshOrthopedic Procedures / methodsen
dc.subject.meshOrthopedic Procedures / economicsen
dc.subject.meshOrthopedic Procedures / adverse effectsen
dc.subject.meshHumansen
dc.subject.meshHemorrhage / etiologyen
dc.subject.meshHemorrhage / epidemiologyen
dc.subject.meshHemorrhage / economicsen
dc.subject.meshEnoxaparin / therapeutic useen
dc.subject.meshEnoxaparin / economicsen
dc.subject.meshEnoxaparin / adverse effectsen
dc.subject.meshBrazil / epidemiologyen
dc.subject.meshAnticoagulants / therapeutic useen
dc.subject.meshAnticoagulants / economicsen
dc.subject.meshAnticoagulants / adverse effectsen
dc.titleMulti-Criteria Model for Evaluating Drugs to Prevent Deep Venous Thrombosis Associated With Orthopedic Surgery: A Hospital-Based Case Study
dc.typeArticle
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