ASSESSMENT OF THE COMPLETENESS OF RECORDS OF AMERICAN TEGUMENTARY LEISHMANIASIS IN ENDEMIC AREA OF MARANHÃO FROM 2017 TO 2020
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
Tipo de documento: | preprint |
Idioma: | por |
Título da fonte: | SciELO Preprints |
Texto Completo: | https://preprints.scielo.org/index.php/scielo/preprint/view/4905 |
Resumo: | This study aims to evaluate the completeness of the compulsory notification forms of Cutaneous Leishmaniasis (CL) data in an endemic area in Maranhão during the period of 2017 to 2020. Descriptive and quantitative study based on data from the notification forms of patients diagnosed with CL registered at Regional de Saúde de Pinheiro - MA in the mentioned period. The fields for filling out the forms were categorized into key fields, mandatory filling and essential filling fields. Data completeness was evaluated in good, regular, low and very low completeness. The data was coded and inserted into the program Excel for Windows® 2016, version 1807, according to the variables of interest in the study. The statistical analysis was performed on Excel program and in the SPSS software, version 24.0, including the incidence calculation of each year and the absolute and relative frequencies, presented as tables. Good completeness predominated in general and for the mandatory variables, but the essential variables presented expressive scores of regular, low and very low completeness. By training the form fillers and updating the filling instructions, it is expected to improve the quality of information related to CL in the state. |
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ASSESSMENT OF THE COMPLETENESS OF RECORDS OF AMERICAN TEGUMENTARY LEISHMANIASIS IN ENDEMIC AREA OF MARANHÃO FROM 2017 TO 2020AVALIAÇÃO DA COMPLETUDE DOS REGISTROS DE LEISHMANIOSE TEGUMENTAR AMERICANA EM ÁREA ENDÊMICA DO MARANHÃO DE 2017 A 2020Leishmaniose Tegumentar AmericanaVigilância EpidemiológicaSistema Nacional de Agravos de NotificaçãoCutaneous LeishmaniasisEpidemiological MonitoringHealth Information SystemsThis study aims to evaluate the completeness of the compulsory notification forms of Cutaneous Leishmaniasis (CL) data in an endemic area in Maranhão during the period of 2017 to 2020. Descriptive and quantitative study based on data from the notification forms of patients diagnosed with CL registered at Regional de Saúde de Pinheiro - MA in the mentioned period. The fields for filling out the forms were categorized into key fields, mandatory filling and essential filling fields. Data completeness was evaluated in good, regular, low and very low completeness. The data was coded and inserted into the program Excel for Windows® 2016, version 1807, according to the variables of interest in the study. The statistical analysis was performed on Excel program and in the SPSS software, version 24.0, including the incidence calculation of each year and the absolute and relative frequencies, presented as tables. Good completeness predominated in general and for the mandatory variables, but the essential variables presented expressive scores of regular, low and very low completeness. By training the form fillers and updating the filling instructions, it is expected to improve the quality of information related to CL in the state.Este trabalho objetiva avaliar a completude dos dados das fichas de notificação compulsória de Leishmaniose Tegumentar Americana (LTA) em área endêmica do Maranhão no período de 2017 a 2020. Estudo descritivo e quantitativo realizado a partir de dados das fichas de notificação de diagnosticados com LTA registradas na Regional de Saúde de Pinheiro – MA no período referido. Os campos de preenchimento das fichas foram categorizados em campos-chave, de preenchimento obrigatório e de preenchimento essencial. A completude dos dados foi avaliada em completude boa, regular, baixa e muito baixa. Os dados foram codificados e inseridos no programa Excel for Windows® 2016, versão 1807, segundo as variáveis de interesse no estudo. A análise estatística foi realizada no programa Excel e no software SPSS, versão 24.0, incluindo o cálculo de incidência de cada ano e o de frequências absolutas e relativas, apresentadas na forma de tabelas. Predominou a completude boa geral das fichas e das variáveis obrigatórias, porém as variáveis essenciais apresentaram escores expressivos de completude regular, baixa e muito baixa. Com a capacitação dos preenchedores e atualização no instrucional de preenchimento, espera-se melhorar a qualidade das informações referentes à LTA no Estado.SciELO PreprintsSciELO PreprintsSciELO Preprints2022-10-25info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/490510.1590/SciELOPreprints.4905porhttps://preprints.scielo.org/index.php/scielo/article/view/4905/9527Copyright (c) 2022 Lorena de Albuquerque Pinheiro Oliveira, Anne Karine Martins Assunção, Eudes Alves Simoes Neto, Mayara da Silvahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessOliveira, Lorena de Albuquerque PinheiroAssunção, Anne Karine MartinsSimoes Neto, Eudes AlvesSilva, Mayara dareponame:SciELO Preprintsinstname:SciELOinstacron:SCI2022-10-22T01:13:45Zoai:ops.preprints.scielo.org:preprint/4905Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2022-10-22T01:13:45SciELO Preprints - SciELOfalse |
dc.title.none.fl_str_mv |
ASSESSMENT OF THE COMPLETENESS OF RECORDS OF AMERICAN TEGUMENTARY LEISHMANIASIS IN ENDEMIC AREA OF MARANHÃO FROM 2017 TO 2020 AVALIAÇÃO DA COMPLETUDE DOS REGISTROS DE LEISHMANIOSE TEGUMENTAR AMERICANA EM ÁREA ENDÊMICA DO MARANHÃO DE 2017 A 2020 |
title |
ASSESSMENT OF THE COMPLETENESS OF RECORDS OF AMERICAN TEGUMENTARY LEISHMANIASIS IN ENDEMIC AREA OF MARANHÃO FROM 2017 TO 2020 |
spellingShingle |
ASSESSMENT OF THE COMPLETENESS OF RECORDS OF AMERICAN TEGUMENTARY LEISHMANIASIS IN ENDEMIC AREA OF MARANHÃO FROM 2017 TO 2020 Oliveira, Lorena de Albuquerque Pinheiro Leishmaniose Tegumentar Americana Vigilância Epidemiológica Sistema Nacional de Agravos de Notificação Cutaneous Leishmaniasis Epidemiological Monitoring Health Information Systems |
title_short |
ASSESSMENT OF THE COMPLETENESS OF RECORDS OF AMERICAN TEGUMENTARY LEISHMANIASIS IN ENDEMIC AREA OF MARANHÃO FROM 2017 TO 2020 |
title_full |
ASSESSMENT OF THE COMPLETENESS OF RECORDS OF AMERICAN TEGUMENTARY LEISHMANIASIS IN ENDEMIC AREA OF MARANHÃO FROM 2017 TO 2020 |
title_fullStr |
ASSESSMENT OF THE COMPLETENESS OF RECORDS OF AMERICAN TEGUMENTARY LEISHMANIASIS IN ENDEMIC AREA OF MARANHÃO FROM 2017 TO 2020 |
title_full_unstemmed |
ASSESSMENT OF THE COMPLETENESS OF RECORDS OF AMERICAN TEGUMENTARY LEISHMANIASIS IN ENDEMIC AREA OF MARANHÃO FROM 2017 TO 2020 |
title_sort |
ASSESSMENT OF THE COMPLETENESS OF RECORDS OF AMERICAN TEGUMENTARY LEISHMANIASIS IN ENDEMIC AREA OF MARANHÃO FROM 2017 TO 2020 |
author |
Oliveira, Lorena de Albuquerque Pinheiro |
author_facet |
Oliveira, Lorena de Albuquerque Pinheiro Assunção, Anne Karine Martins Simoes Neto, Eudes Alves Silva, Mayara da |
author_role |
author |
author2 |
Assunção, Anne Karine Martins Simoes Neto, Eudes Alves Silva, Mayara da |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Oliveira, Lorena de Albuquerque Pinheiro Assunção, Anne Karine Martins Simoes Neto, Eudes Alves Silva, Mayara da |
dc.subject.por.fl_str_mv |
Leishmaniose Tegumentar Americana Vigilância Epidemiológica Sistema Nacional de Agravos de Notificação Cutaneous Leishmaniasis Epidemiological Monitoring Health Information Systems |
topic |
Leishmaniose Tegumentar Americana Vigilância Epidemiológica Sistema Nacional de Agravos de Notificação Cutaneous Leishmaniasis Epidemiological Monitoring Health Information Systems |
description |
This study aims to evaluate the completeness of the compulsory notification forms of Cutaneous Leishmaniasis (CL) data in an endemic area in Maranhão during the period of 2017 to 2020. Descriptive and quantitative study based on data from the notification forms of patients diagnosed with CL registered at Regional de Saúde de Pinheiro - MA in the mentioned period. The fields for filling out the forms were categorized into key fields, mandatory filling and essential filling fields. Data completeness was evaluated in good, regular, low and very low completeness. The data was coded and inserted into the program Excel for Windows® 2016, version 1807, according to the variables of interest in the study. The statistical analysis was performed on Excel program and in the SPSS software, version 24.0, including the incidence calculation of each year and the absolute and relative frequencies, presented as tables. Good completeness predominated in general and for the mandatory variables, but the essential variables presented expressive scores of regular, low and very low completeness. By training the form fillers and updating the filling instructions, it is expected to improve the quality of information related to CL in the state. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-10-25 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/preprint info:eu-repo/semantics/publishedVersion |
format |
preprint |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/preprint/view/4905 10.1590/SciELOPreprints.4905 |
url |
https://preprints.scielo.org/index.php/scielo/preprint/view/4905 |
identifier_str_mv |
10.1590/SciELOPreprints.4905 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/article/view/4905/9527 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
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https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
SciELO Preprints SciELO Preprints SciELO Preprints |
publisher.none.fl_str_mv |
SciELO Preprints SciELO Preprints SciELO Preprints |
dc.source.none.fl_str_mv |
reponame:SciELO Preprints instname:SciELO instacron:SCI |
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SciELO |
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SCI |
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SCI |
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SciELO Preprints |
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SciELO Preprints |
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SciELO Preprints - SciELO |
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scielo.submission@scielo.org |
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