Abstract
BackgroundThe multicriteria decision method (MCDM) aims to find conflicts among alternatives by comparing and evaluating them according to various criteria to reach the best compromise solution. The evaluation of a new health technology is extremely important in the health sciences field. The aim of this work is to evaluate a new health technology to assay thyroglobulin in patients with differentiated thyroid cancer to improve its service from an organizational point of view, by planning new and appropriate training activities, ensuring proper use of resources and satisfying the needs of different users.MethodsThe evaluation was performed using two methodologies: the analytic hierarchy process (AHP) and the Likert scale. The AHP is a multicriteria decision approach that assigns a weight to each evaluation criterion according to the decision maker’s pairwise comparisons of the criteria. The Likert scale is a psychometric scale employed to study the degree of user satisfaction by measuring opinions.ResultsResults show the need of particularly improving clinical efficiency, effectiveness, and return on sales (ROS) related to the technology; technological safety, human resources and other parameters do not need to be improved because of the high satisfaction results of the users.ConclusionsThe application of both methods provided the necessary information to improve the quality of the service, allowing the decision maker to identify the most valuable service features and to improve these to ensure user satisfaction and to identify possible service improvements.
Highlights
The analysis of the multicriteria decision method (MCDM) aims to identify conflicts among alternatives by comparing and evaluating them according to various criteria to reach the best compromise solution [1,2,3,4]
Suner et al [32] applied Analytic Hierarchy Process (AHP) in the evaluation of infectious diseases to determine the best hand hygiene preference of the infectious diseases and clinical microbiology specialists to prevent transmission of microorganisms from one patient to another. They examined opinions of the specialists with two widely used multi-criteria decision analysis methods, the MultiAttribute Utility Theory (MAUT) and the AHP, showing that both decision models indicate that rubbing the hands with alcohol-based antiseptic solution is the most favorable choice for specialists to prevent nosocomial infection
Data processing using AHP The judgements used to construct the matrices of pairwise comparisons for the AHP were provided in collaboration with the National Research Council staff working in the field of biosensing systems
Summary
The multicriteria decision method (MCDM) aims to find conflicts among alternatives by comparing and evaluating them according to various criteria to reach the best compromise solution. The analysis of the multicriteria decision method (MCDM) aims to identify conflicts among alternatives by comparing and evaluating them according to various criteria to reach the best compromise solution [1,2,3,4]. Suner et al [32] applied AHP in the evaluation of infectious diseases to determine the best hand hygiene preference of the infectious diseases and clinical microbiology specialists to prevent transmission of microorganisms from one patient to another They examined opinions of the specialists with two widely used multi-criteria decision analysis methods, the MultiAttribute Utility Theory (MAUT) and the AHP, showing that both decision models indicate that rubbing the hands with alcohol-based antiseptic solution is the most favorable choice for specialists to prevent nosocomial infection
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