Health information systems and pesticide poisoning at Pernambuco
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista brasileira de epidemiologia (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2015000300666 |
Resumo: | INTRODUCTION: Understanding the epidemiologic profile of a particular disease is key to undertake health actions. To that end, information systems that present quality data help in the decision-making process and demonstrate the impact of the problems. OBJECTIVE: To analyze the contribution of health information systems for the characterization of pesticide poisoning through SINAN, CEATOX and SIM in the State of Pernambuco. METHOD: In this study, the completeness and consistency of the data were assessed, as well as the epidemiological profile of pesticide poisoning in Pernambuco in the period from 2008 to 2012, based on the following Health Information Systems: Center for Toxicological Assistance of Pernambuco (CEATOX), Notifiable Diseases Information System (SINAN) and Mortality Information System (SIM). RESULTS: The data revealed incompleteness and inconsistencies in information. Regarding the profile, females are more affected in the morbidity profile, and men have a higher mortality rate. Poisoning was more frequent in young adults with low educational level. With regard to the circumstances, most of the cases were suicide attempts, unique acute cases and not related to work. Despite suggesting underreporting, the data showed that persons engaged in agriculture are most commonly affected. CONCLUSION: The strengthening of these systems is necessary for the generation of consistent information that support health policies for the population groups involved. |
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Health information systems and pesticide poisoning at PernambucoPesticidesPoisoningPublic health surveillanceHealth information systemsHealth ProfileDisease notification INTRODUCTION: Understanding the epidemiologic profile of a particular disease is key to undertake health actions. To that end, information systems that present quality data help in the decision-making process and demonstrate the impact of the problems. OBJECTIVE: To analyze the contribution of health information systems for the characterization of pesticide poisoning through SINAN, CEATOX and SIM in the State of Pernambuco. METHOD: In this study, the completeness and consistency of the data were assessed, as well as the epidemiological profile of pesticide poisoning in Pernambuco in the period from 2008 to 2012, based on the following Health Information Systems: Center for Toxicological Assistance of Pernambuco (CEATOX), Notifiable Diseases Information System (SINAN) and Mortality Information System (SIM). RESULTS: The data revealed incompleteness and inconsistencies in information. Regarding the profile, females are more affected in the morbidity profile, and men have a higher mortality rate. Poisoning was more frequent in young adults with low educational level. With regard to the circumstances, most of the cases were suicide attempts, unique acute cases and not related to work. Despite suggesting underreporting, the data showed that persons engaged in agriculture are most commonly affected. CONCLUSION: The strengthening of these systems is necessary for the generation of consistent information that support health policies for the population groups involved. Associação Brasileira de Saúde Coletiva2015-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2015000300666Revista Brasileira de Epidemiologia v.18 n.3 2015reponame:Revista brasileira de epidemiologia (Online)instname:Associação Brasileira de Saúde Coletiva (ABRASCO)instacron:ABRASCO10.1590/1980-5497201500030012info:eu-repo/semantics/openAccessAlbuquerque,Pedro Costa Cavalcanti deGurgel,Idê Gomes DantasGurgel,Aline do MonteAugusto,Lia Giraldo da SilvaSiqueira,Marília Teixeira deeng2015-07-30T00:00:00Zoai:scielo:S1415-790X2015000300666Revistahttp://www.scielo.br/rbepidhttps://old.scielo.br/oai/scielo-oai.php||revbrepi@usp.br1980-54971415-790Xopendoar:2015-07-30T00:00Revista brasileira de epidemiologia (Online) - Associação Brasileira de Saúde Coletiva (ABRASCO)false |
dc.title.none.fl_str_mv |
Health information systems and pesticide poisoning at Pernambuco |
title |
Health information systems and pesticide poisoning at Pernambuco |
spellingShingle |
Health information systems and pesticide poisoning at Pernambuco Albuquerque,Pedro Costa Cavalcanti de Pesticides Poisoning Public health surveillance Health information systems Health Profile Disease notification |
title_short |
Health information systems and pesticide poisoning at Pernambuco |
title_full |
Health information systems and pesticide poisoning at Pernambuco |
title_fullStr |
Health information systems and pesticide poisoning at Pernambuco |
title_full_unstemmed |
Health information systems and pesticide poisoning at Pernambuco |
title_sort |
Health information systems and pesticide poisoning at Pernambuco |
author |
Albuquerque,Pedro Costa Cavalcanti de |
author_facet |
Albuquerque,Pedro Costa Cavalcanti de Gurgel,Idê Gomes Dantas Gurgel,Aline do Monte Augusto,Lia Giraldo da Silva Siqueira,Marília Teixeira de |
author_role |
author |
author2 |
Gurgel,Idê Gomes Dantas Gurgel,Aline do Monte Augusto,Lia Giraldo da Silva Siqueira,Marília Teixeira de |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Albuquerque,Pedro Costa Cavalcanti de Gurgel,Idê Gomes Dantas Gurgel,Aline do Monte Augusto,Lia Giraldo da Silva Siqueira,Marília Teixeira de |
dc.subject.por.fl_str_mv |
Pesticides Poisoning Public health surveillance Health information systems Health Profile Disease notification |
topic |
Pesticides Poisoning Public health surveillance Health information systems Health Profile Disease notification |
description |
INTRODUCTION: Understanding the epidemiologic profile of a particular disease is key to undertake health actions. To that end, information systems that present quality data help in the decision-making process and demonstrate the impact of the problems. OBJECTIVE: To analyze the contribution of health information systems for the characterization of pesticide poisoning through SINAN, CEATOX and SIM in the State of Pernambuco. METHOD: In this study, the completeness and consistency of the data were assessed, as well as the epidemiological profile of pesticide poisoning in Pernambuco in the period from 2008 to 2012, based on the following Health Information Systems: Center for Toxicological Assistance of Pernambuco (CEATOX), Notifiable Diseases Information System (SINAN) and Mortality Information System (SIM). RESULTS: The data revealed incompleteness and inconsistencies in information. Regarding the profile, females are more affected in the morbidity profile, and men have a higher mortality rate. Poisoning was more frequent in young adults with low educational level. With regard to the circumstances, most of the cases were suicide attempts, unique acute cases and not related to work. Despite suggesting underreporting, the data showed that persons engaged in agriculture are most commonly affected. CONCLUSION: The strengthening of these systems is necessary for the generation of consistent information that support health policies for the population groups involved. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-09-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2015000300666 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2015000300666 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1980-5497201500030012 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Associação Brasileira de Saúde Coletiva |
publisher.none.fl_str_mv |
Associação Brasileira de Saúde Coletiva |
dc.source.none.fl_str_mv |
Revista Brasileira de Epidemiologia v.18 n.3 2015 reponame:Revista brasileira de epidemiologia (Online) instname:Associação Brasileira de Saúde Coletiva (ABRASCO) instacron:ABRASCO |
instname_str |
Associação Brasileira de Saúde Coletiva (ABRASCO) |
instacron_str |
ABRASCO |
institution |
ABRASCO |
reponame_str |
Revista brasileira de epidemiologia (Online) |
collection |
Revista brasileira de epidemiologia (Online) |
repository.name.fl_str_mv |
Revista brasileira de epidemiologia (Online) - Associação Brasileira de Saúde Coletiva (ABRASCO) |
repository.mail.fl_str_mv |
||revbrepi@usp.br |
_version_ |
1754212954390134784 |