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PNAB 2017 and the number of community health agents in primary care in Brazil

OBJECTIVE: To analyze the effect of the 2017 Basic Primary Care Policy (PNAB) on the number of community health agents per primary health care team. METHODS: This is a cross-sectional, descriptive and analytical study using data available on the Ministry of Health platform called e-Gestor da Atenção...

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Autores principales: Freire, Deborah Ellen Wanderley Gomes, Freire, Aldelany Ramalho, de Lucena, Edson Hilan Gomes, Cavalcanti, Yuri Wanderley
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Faculdade de Saúde Pública da Universidade de São Paulo 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659632/
https://www.ncbi.nlm.nih.gov/pubmed/34878087
http://dx.doi.org/10.11606/s1518-8787.2021055003005
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author Freire, Deborah Ellen Wanderley Gomes
Freire, Aldelany Ramalho
de Lucena, Edson Hilan Gomes
Cavalcanti, Yuri Wanderley
author_facet Freire, Deborah Ellen Wanderley Gomes
Freire, Aldelany Ramalho
de Lucena, Edson Hilan Gomes
Cavalcanti, Yuri Wanderley
author_sort Freire, Deborah Ellen Wanderley Gomes
collection PubMed
description OBJECTIVE: To analyze the effect of the 2017 Basic Primary Care Policy (PNAB) on the number of community health agents per primary health care team. METHODS: This is a cross-sectional, descriptive and analytical study using data available on the Ministry of Health platform called e-Gestor da Atenção Básica, about Brazil's 5,570 towns between October 2017 and December 2019. The survival of the number of towns that did not reduce the number of community health agents was analyzed according to region of the country, the Human Development Index (HDI), the Gini Inequality Index and population size. Cox regression was used to analyze the factors associated with a reduction in the number of CHAs after one month and, from then on, every three months until two years had passed since the publication of the 2017 PNAB Ordinance, considering p < 0.05. CONCLUSIONS: After two years, the greatest reduction was observed in towns in the Midwest and South regions, which presented a high HDI, lower inequality and larger populations. Towns in the Midwest (HR = 1.256) had a higher chance of reducing the number of CHAs compared to the North region. Towns with a higher HDI (HR = 1.053) and larger population size (HR = 1.186) were also more likely to reduc the number of community health agents. Therefore, after the 2017 PNA, the number of towns reducing the amount of community health workers in primary health care increased over the months
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spelling pubmed-86596322021-12-10 PNAB 2017 and the number of community health agents in primary care in Brazil Freire, Deborah Ellen Wanderley Gomes Freire, Aldelany Ramalho de Lucena, Edson Hilan Gomes Cavalcanti, Yuri Wanderley Rev Saude Publica Original Article OBJECTIVE: To analyze the effect of the 2017 Basic Primary Care Policy (PNAB) on the number of community health agents per primary health care team. METHODS: This is a cross-sectional, descriptive and analytical study using data available on the Ministry of Health platform called e-Gestor da Atenção Básica, about Brazil's 5,570 towns between October 2017 and December 2019. The survival of the number of towns that did not reduce the number of community health agents was analyzed according to region of the country, the Human Development Index (HDI), the Gini Inequality Index and population size. Cox regression was used to analyze the factors associated with a reduction in the number of CHAs after one month and, from then on, every three months until two years had passed since the publication of the 2017 PNAB Ordinance, considering p < 0.05. CONCLUSIONS: After two years, the greatest reduction was observed in towns in the Midwest and South regions, which presented a high HDI, lower inequality and larger populations. Towns in the Midwest (HR = 1.256) had a higher chance of reducing the number of CHAs compared to the North region. Towns with a higher HDI (HR = 1.053) and larger population size (HR = 1.186) were also more likely to reduc the number of community health agents. Therefore, after the 2017 PNA, the number of towns reducing the amount of community health workers in primary health care increased over the months Faculdade de Saúde Pública da Universidade de São Paulo 2021-11-18 /pmc/articles/PMC8659632/ /pubmed/34878087 http://dx.doi.org/10.11606/s1518-8787.2021055003005 Text en https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Freire, Deborah Ellen Wanderley Gomes
Freire, Aldelany Ramalho
de Lucena, Edson Hilan Gomes
Cavalcanti, Yuri Wanderley
PNAB 2017 and the number of community health agents in primary care in Brazil
title PNAB 2017 and the number of community health agents in primary care in Brazil
title_full PNAB 2017 and the number of community health agents in primary care in Brazil
title_fullStr PNAB 2017 and the number of community health agents in primary care in Brazil
title_full_unstemmed PNAB 2017 and the number of community health agents in primary care in Brazil
title_short PNAB 2017 and the number of community health agents in primary care in Brazil
title_sort pnab 2017 and the number of community health agents in primary care in brazil
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659632/
https://www.ncbi.nlm.nih.gov/pubmed/34878087
http://dx.doi.org/10.11606/s1518-8787.2021055003005
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