Análise dos fatores que influenciam o número de casos discutidos entre a equipe de Saúde da Família e o Núcleo Ampliado de Saúde da Família e Atenção Básica na regional nordeste de Belo Horizonte em 2019

• Autor(a) principal: Flora Pereira Guerra
• Data de Publicação: 2022
• Idioma: por
• Título da fonte: Repositório Institucional da UFMG
• Texto Completo: http://hdl.handle.net/1843/49827
• topic: Atenção Básica; Núcleo Ampliado de Saúde da Família e Atenção Básica; Matriciamento; Equipe de Saúde da Família; SUS; Estatística; Bioestatística; Atenção básica; Apoio matricial; Família - Saúde e higiene

Primary care is the first point of the healthcare network and the patient’s main entrance to Brazil’s Health Unique System (SUS). Aiming to expand the scope of actions and the resolving capacity of the teams that work in primary care, the Family Health and Primay Care Healthcare Expanded Centers (NASF-AB) were created. The NASF-SB are multidisciplinary teams that work integrated and providing support to the Family Health Teams (eSF). These teams meet monthly and these meetings are called “matriciamento”. The main goal of this study was to verify the influence of the month, year, number of categories, health vulnerability index (IVS) and sum of workload of the NASF-AB team in the total number of new cases taken to matriciamento by the eSF of the Northeast region of Belo Horizonte from January 2013 to December 2019. Of the 21 Health Centers (HC), the number of new cases from the matriciamento record book was collected from 2013 to 2019 of eleven HC and 2019 data was collected from nine more. Descriptive and regression analysis were performed with data from 2013 to 2019 and also only with 2019 data. The results show na upward trend in cases until 2015 and a drop in 2016, when there was a mass dismissal of NASF-AB professionals. As of 2017, there is a new growth trend, when there was a redivision of the NASF-AB teams and rehiring. Analyzing data by month, a large variation can be seen in May, lower medians in January and December, the vacation period, and also in April, and a higher median in September. Simple and multiple linear regressions were performed with the 2019 data, however, no statistical significance was obtained in any of them, although possible relationships were verified in the graphical analysis that compare the dependente variable with each independente variable. This was an initial study that pointed out some ways to be explored to help professionals working in primary care. For future studies, it is recommended to expand sample and explore new variables that may impact the servisse dynamics.