Abstract
This study analyzed the use of the Analytic Hierarchy Process with the Gaussian (AHP) factor to prioritize health indicators in the state of Rio Grande do Sul. The Gaussian AHP method considers the relative importance of each criterion, using the criteria standard deviation to order the weights with the most influence to do the prioritization scale of the alternatives. Nineteen health indicators were analyzed, considering as criteria the variation of improvement and deterioration in two periods: from 2018 to 2022 and from 2021 to 2022. It was also considered a criterion for the goal achievement percentage established for the 2022 year and the health region numbers that achieved results above the goal. After analysis, the following indicators were considered priorities due to their poor performance: Infant Mortality Rate, Index of premises infestation by Aedes aegypti and Human Immunodeficiency Virus (HIV) testing in newly reported tuberculosis cases. The indicator with the best result was five sample collections per week with RT-PCR performed in Influenza Syndrome cases treated in each sentinel unit. This highlights the importance of the Gaussian AHP for a robust analysis of the prioritization of health indicators in the context of public management.
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