Análise do indicador de pré-natal odontológico do município de Caicó/RN

Abstract

Introduction: A new funding model for Primary Health Care was established through the institution of the Previne Brasil program by Ordinance No. 2,979 of November 12, 2019, which brings in its Art. 9th the three axes that make up the new federal financing of the APS, namely: weighted capitation, payment for performance and incentives for strategic actions. Payment for performance will be made considering the results achieved by accredited teams for the seven agreed indicators, the third being the indicator of the proportion of pregnant women with dental care provided. Objective: To analyze the performance of oral health teams in the city of Caicó/RN regarding the indicator of the proportion of pregnant women with dental care performed. Methodology: Epidemiological, observational study, with cross-sectional design and descriptive classification, based on data available at SISAB collected through the e-Gestor AB platform, which provides the performance of teams by four months for the analyzed indicator. All four months of the year 2021 were considered for this study. The analysis of the indicator was carried out in a spreadsheet in Microsoft Excel ® software, observing the classification established by the Ministry of Health, which is bad for values < 24.0%, regular between ≥ 24.0% and < 42.0%, good between ≥ 42.0% and < 60%, and great ≥ 60%. Results: The percentage of pregnant women who underwent dental care in primary health care in the city of Caicó in 2021 is predominantly below the target established by the Ministry of Health. During the first four months (Q1) it was possible to observe that more than 50% of the teams had their performance classified as Bad, and this percentage was even higher during (Q2). On a positive note, in (Q3) the municipality had a considerable increase in teams classified with Excellent and Regular performance and a significant reduction in those classified as Poor when compared to (Q2). Final Considerations: The analysis of the data makes clear the need for the implementation of measures by the teams and management of the municipality to reach the indicator. Interprofessional communication, the existence of an active continuing education center, institutional support and co-responsibility for filling in data and updating information systems are among the initiatives that can directly contribute to the qualification of the assistance provided to these users and consequent range of the indicator.