Social protection in areas vulnerable to tuberculosis: a mixed methods study in São Luís, Maranhão
ABSTRACT Objectives: to analyze the risk areas for tuberculosis and the influences of social protection on the development of treatment for the disease in the municipality of São Luís, Maranhão. Methods: this is explanatory sequential mixed method research. In the quantitative phase, the data were...
| Published in: | Revista Brasileira de Enfermagem |
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| Main Authors: | , , , , , , , , , |
| Format: | Article |
| Language: | English |
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Associação Brasileira de Enfermagem
2024-06-01
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| Online Access: | http://revodonto.bvsalud.org/scielo.php?script=sci_arttext&pid=S0034-71672024000700151&lng=en&tlng=en |
| _version_ | 1850262700172509184 |
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| author | Francisca Bruna Arruda Aragão Mellina Yamamura Calori Thais Zamboni Berra Antônio Carlos Vieira Ramos Ethel Leonor Noia Maciel José Henrique da Silva Cunha Larissa Barros de Souza Marcelino Santos Neto Ricardo Alexandre Arcêncio Regina Célia Fiorati |
| author_facet | Francisca Bruna Arruda Aragão Mellina Yamamura Calori Thais Zamboni Berra Antônio Carlos Vieira Ramos Ethel Leonor Noia Maciel José Henrique da Silva Cunha Larissa Barros de Souza Marcelino Santos Neto Ricardo Alexandre Arcêncio Regina Célia Fiorati |
| author_sort | Francisca Bruna Arruda Aragão |
| collection | DOAJ |
| container_title | Revista Brasileira de Enfermagem |
| description | ABSTRACT Objectives: to analyze the risk areas for tuberculosis and the influences of social protection on the development of treatment for the disease in the municipality of São Luís, Maranhão. Methods: this is explanatory sequential mixed method research. In the quantitative phase, the data were obtained from the Notifiable Diseases Information System from 2010 to 2019, with georeferencing being carried out to identify areas vulnerable to tuberculosis. In the qualitative phase, semi-structured interviews were carried out with individuals who received social benefits. Results: 7,381 cases were geocoded, and, from the purely spatial scanning analysis, it was possible to identify 13 spatial clusters of risk. As for the interviews, there was a positive relationship between patient improvement and receiving benefits. Conclusions: geographic space and social determinants are relevant for reorienting monitoring actions for the conditions that generate the health-disease process. |
| format | Article |
| id | doaj-art-ed2e57b7564a4615b6aca28b2294de06 |
| institution | Directory of Open Access Journals |
| issn | 1984-0446 |
| language | English |
| publishDate | 2024-06-01 |
| publisher | Associação Brasileira de Enfermagem |
| record_format | Article |
| spelling | doaj-art-ed2e57b7564a4615b6aca28b2294de062025-08-19T23:46:13ZengAssociação Brasileira de EnfermagemRevista Brasileira de Enfermagem1984-04462024-06-0177310.1590/0034-7167-2023-0428Social protection in areas vulnerable to tuberculosis: a mixed methods study in São Luís, MaranhãoFrancisca Bruna Arruda Aragãohttps://orcid.org/0000-0002-1191-0988Mellina Yamamura Calorihttps://orcid.org/0000-0001-5228-8788Thais Zamboni Berrahttps://orcid.org/0000-0002-4163-8719Antônio Carlos Vieira Ramoshttps://orcid.org/0000-0002-7862-1355Ethel Leonor Noia Macielhttps://orcid.org/0000-0003-4826-3355José Henrique da Silva Cunhahttps://orcid.org/0000-0002-4255-6125Larissa Barros de Souzahttps://orcid.org/0000-0002-8060-7974Marcelino Santos Netohttps://orcid.org/0000-0002-6105-1886Ricardo Alexandre Arcênciohttps://orcid.org/0000-0003-4792-8714Regina Célia Fioratihttps://orcid.org/0000-0003-3666-9809ABSTRACT Objectives: to analyze the risk areas for tuberculosis and the influences of social protection on the development of treatment for the disease in the municipality of São Luís, Maranhão. Methods: this is explanatory sequential mixed method research. In the quantitative phase, the data were obtained from the Notifiable Diseases Information System from 2010 to 2019, with georeferencing being carried out to identify areas vulnerable to tuberculosis. In the qualitative phase, semi-structured interviews were carried out with individuals who received social benefits. Results: 7,381 cases were geocoded, and, from the purely spatial scanning analysis, it was possible to identify 13 spatial clusters of risk. As for the interviews, there was a positive relationship between patient improvement and receiving benefits. Conclusions: geographic space and social determinants are relevant for reorienting monitoring actions for the conditions that generate the health-disease process.http://revodonto.bvsalud.org/scielo.php?script=sci_arttext&pid=S0034-71672024000700151&lng=en&tlng=enSocial Determinants of HealthPublic PolicySocial ProgramTuberculosisSocial Vulnerability |
| spellingShingle | Francisca Bruna Arruda Aragão Mellina Yamamura Calori Thais Zamboni Berra Antônio Carlos Vieira Ramos Ethel Leonor Noia Maciel José Henrique da Silva Cunha Larissa Barros de Souza Marcelino Santos Neto Ricardo Alexandre Arcêncio Regina Célia Fiorati Social protection in areas vulnerable to tuberculosis: a mixed methods study in São Luís, Maranhão Social Determinants of Health Public Policy Social Program Tuberculosis Social Vulnerability |
| title | Social protection in areas vulnerable to tuberculosis: a mixed methods study in São Luís, Maranhão |
| title_full | Social protection in areas vulnerable to tuberculosis: a mixed methods study in São Luís, Maranhão |
| title_fullStr | Social protection in areas vulnerable to tuberculosis: a mixed methods study in São Luís, Maranhão |
| title_full_unstemmed | Social protection in areas vulnerable to tuberculosis: a mixed methods study in São Luís, Maranhão |
| title_short | Social protection in areas vulnerable to tuberculosis: a mixed methods study in São Luís, Maranhão |
| title_sort | social protection in areas vulnerable to tuberculosis a mixed methods study in sao luis maranhao |
| topic | Social Determinants of Health Public Policy Social Program Tuberculosis Social Vulnerability |
| url | http://revodonto.bvsalud.org/scielo.php?script=sci_arttext&pid=S0034-71672024000700151&lng=en&tlng=en |
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