Model to support intervention prioritization for the control of Aedes aegypti in Brazil: a multi-criteria approach

Santos, Lucas Araújo; Santos, Ana Flávia A Dos; Assis, Amanda Gomes de; Costa, João Florêncio da; Souza, Ricardo Pires de

doi:10.1186/s12889-022-13006-1

Cited by 5 publications

(1 citation statement)

References 20 publications

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“…The current study presented a multi-criteria decision model in the health area that is rarely addressed in the literature [27,28,29], even though hospital inventory management has a considerable impact not only on the procurement policies, but also in the patients' treatment and their overall health and well-being [30].…”

Section: Discussionmentioning

confidence: 99%

Classification of Materials and Medicines in Hospital Inventory Management: A Multi-Criteria Analysis

Assis

Santos

et al. 2022

Preprint

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Background: In hospital environment, to achieve an optimum level of operations and service, it is necessary to define adequate inventory control. Stocks can be managed, amongst other ways, through inputs classification, which is generally done based on a single criterion, such as monetary value, which does not encompass the nature and challenges of a hospital's inventory management. Thus, the present study aims to propose a multi-criteria decision support model to help classify the stock of materials and medicines at a university hospital in Natal-RN.Methods: Methodologically, the study followed 3 stages: i) preliminary; ii) modelling and choice; and iii) finalization, having within these stages specific steps that were followed. The first phase identified the actors of the process, objectives, criteria and alternatives, in which 5 criteria and 48 alternatives were established; the second phase was the choice and execution of the multicriteria decision method to solve the problem. We chose to use the Flexible and Interactive Tradeoff (FITradeoff) method for the classification problem. Finally, in the third phase, an analysis of the sensitivity of the developed model as well as validation of the results with decision makers was carried out.Results: From the total of 48 medicines and hospital medical materials selected for the study, the classification of 34 of these alternatives to a single class was obtained through modelling and the other 14 alternatives were destined to two possible classes; moreover, the sensitivity analysis performed showed the robustness of the results.Conclusions: The classification of materials and medicines developed according to the reality of the stock made it possible to make purchasing decisions based on the perspectives of the presented model, optimizing the stock of materials and medicines at the university hospital. The proposed model can be used as a basis for the development of other multicriteria models considering multiple criteria simultaneously.

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Section: Discussionmentioning

confidence: 99%

Classification of Materials and Medicines in Hospital Inventory Management: A Multi-Criteria Analysis

Assis

Santos

et al. 2022

Preprint

View full text Add to dashboard Cite

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Classification of medicines and materials in hospital inventory management: a multi-criteria analysis

Assis

Santos

et al. 2022

BMC Med Inform Decis Mak

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Background In the hospital environment, to achieve an optimum level of operations and service, it is necessary to develop adequate inventory management system. Stocks can be managed, amongst other ways, through inputs classification, which is generally carried out based on a single criterion, such as monetary value, demand or criticality, which does not fully address the complexity of a hospital’s inventory management system. Thus, the present study proposes a multi-criteria decision support model to help classify the stock of medicines and materials, enabling a more effective inventory management system for hospitals. Methods Methodologically, the study followed 3 stages: (1) preliminary phase; (2) modelling and choice phase; and (3) finalization phase. Each stage had a set of specific steps that were followed. The first stage identified the actors of the process, objectives, criteria and alternatives, establishing 5 criteria and 48 alternatives; the second stage was the choice and execution of the multi-criteria decision method to solve the problem. It was decided to use the Flexible and Interactive Tradeoff method for the sorting problematic. Finally, in the third stage, the sensitivity analysis for the developed model and the validation of the results with decision makers were carried out. In the study, 48 medicines and materials were included to validate the proposed model; however, the model could be used for more items. Results From the total of 48 medicines and hospital medical materials selected for the study, the classification of 34 of these alternatives to a single class was obtained through modelling and the other 14 alternatives were destined to two possible classes; moreover, the sensitivity analysis performed showed robust results. The items classified in class W should receive special attention by the stock manager; therefore, they should be monitored weekly. Items classified in class B should be monitored biweekly and finally, items classified in class M, should be monitored monthly. Conclusions The classification of medicines and materials developed according to the inventory demands allowed more efficient purchasing decisions, optimizing the stock of materials and medicines at the hospital while optimizing the inventory manager’s activities, saving time. Consequently, the proposed model can support the development of other multicriteria models in different hospital scenarios.

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A Summary on Fitradeoff Method With Methodological and Practical Developments and Future Perspectives

et al. 2023

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This paper presents a broad overview of main contributions related to the FITradeoff (Flexible and Interactive Tradeoff) method. FITradeoff is a multicriteria method developed within the scope of the Multiattribute Value Theory (MAVT), considering partial information from the decision maker (DM) in the preference modelling process. Over the last few years, several methodological developments on this method have been published in the literature, as well as practical applications to a wide range of multicriteria decision problems. The most recent methodological advances are related to preference modelling process, which now integrate the two paradigms of elicitation by decomposition and holistic evaluation. Furthermore, contributions from behavioral studies, some of them including decision neuroscience, have enhanced the DSS free available for FITradeoff. In this paper, all previously developed works related to the FITradeoff method are approached, considering both methodological developments and practical applications. A summary on the different modeling approaches for solving different decision problematics (choice, ranking, sorting and portfolio) with FITradeoff is presented. The recently proposed combination of preference modeling paradigms -elicitation by decomposition and holistic evaluation -within the FITradeoff decision process is explained, as well its potential advantages for the elicitation process. Moreover, a brief review on the practical applications of the method in different contexts is presented. In addition, this work also brings a summary on the results of behavioral experiments conducted using neuroscience tools with the FITradeoff method, as well the methodological insights resulted from them, and future perspectives of potential research topics related to the FITradeoff method.

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Model to support intervention prioritization for the control of Aedes aegypti in Brazil: a multi-criteria approach

Cited by 5 publications

References 20 publications

Classification of Materials and Medicines in Hospital Inventory Management: A Multi-Criteria Analysis

Classification of Materials and Medicines in Hospital Inventory Management: A Multi-Criteria Analysis

Classification of medicines and materials in hospital inventory management: a multi-criteria analysis

A Summary on Fitradeoff Method With Methodological and Practical Developments and Future Perspectives

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