Surveillance of occupational accidents by sentinel workers’ health centers in the municipality of Fortaleza, Northeast of Brazil
This article examines the factors associated with the notification of occupational accidents by sentinel workers’ health centers in the municipality of Fortaleza in the northeast of Brazil. An analytical cross-sectional study was conducted of five sentinel workers’ health centers for serious and fat...
Gespeichert in:
Veröffentlicht in: | Ciência & saude coletiva 2017-10, Vol.22 (10) |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | por |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 10 |
container_start_page | |
container_title | Ciência & saude coletiva |
container_volume | 22 |
creator | Monteiro Ferreira, Marcelo Jose Romenia Kelly Soares deLima Ageo Mario Candido daSilva Bezerra Jose Gomes Filho Luciano Pamplona deGoes Cavalcanti |
description | This article examines the factors associated with the notification of occupational accidents by sentinel workers’ health centers in the municipality of Fortaleza in the northeast of Brazil. An analytical cross-sectional study was conducted of five sentinel workers’ health centers for serious and fatal occupational accidents. A total of 354 interviews were conducted with professionals responsible for notifying occupational accidents. Bivariate analysis was conducted using Pearson’s chi-square test and/or Fisher’s exact test using prevalence ratios and 95% confidence intervals, followed by stratified analysis and multivariate Poisson regression adopting the stepwise forward method. Variables that obtained a p-value of less than or equal to the chosen significance level (0.05) were maintained in the final model. Professionals who had a greater number of years of work experience, had undertaken three training courses, had knowledge of policy directives concerning occupational accidents, were familiar with the SINAN notification form, were aware that occupational accidents are reportable, and discussed the theme of occupational accidents in the workplace were statistically more likely to notify occupational accidents. Education and training helps raise awareness among health professionals. |
doi_str_mv | 10.1590/1413-812320172210.17422017 |
format | Article |
fullrecord | <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_journals_1960024182</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1960024182</sourcerecordid><originalsourceid>FETCH-proquest_journals_19600241823</originalsourceid><addsrcrecordid>eNqNjj1OAzEQhS0EEiFwhxG0LLG9zu6mBRGlooE-GsxE62DsxT-gpELcgutxErwS9FTz5ps3T4-xc8GvxHzBZ0KJuuqErCUXrZQjbpUclwM2EU3bVWreiMOi_4zH7CTGLeeyrZWcsM_7HN7IWItOE_gNeK3zgMl4hxZQa_NELkV43EEswjiy8O7DM4X4_fEFPaFNPehyKgSMg9QTvGRntBnQmrQbM5c-JLS0x0u4K7I8xTTy64B7Y0_Z0QZtpLPfOWUXy9uHm1U1BP-aKab11udQ6sS1WDSluRKdrP_n-gG_31s7</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1960024182</pqid></control><display><type>article</type><title>Surveillance of occupational accidents by sentinel workers’ health centers in the municipality of Fortaleza, Northeast of Brazil</title><source>EZB-FREE-00999 freely available EZB journals</source><creator>Monteiro Ferreira, Marcelo Jose ; Romenia Kelly Soares deLima ; Ageo Mario Candido daSilva ; Bezerra Jose Gomes Filho ; Luciano Pamplona deGoes Cavalcanti</creator><creatorcontrib>Monteiro Ferreira, Marcelo Jose ; Romenia Kelly Soares deLima ; Ageo Mario Candido daSilva ; Bezerra Jose Gomes Filho ; Luciano Pamplona deGoes Cavalcanti</creatorcontrib><description>This article examines the factors associated with the notification of occupational accidents by sentinel workers’ health centers in the municipality of Fortaleza in the northeast of Brazil. An analytical cross-sectional study was conducted of five sentinel workers’ health centers for serious and fatal occupational accidents. A total of 354 interviews were conducted with professionals responsible for notifying occupational accidents. Bivariate analysis was conducted using Pearson’s chi-square test and/or Fisher’s exact test using prevalence ratios and 95% confidence intervals, followed by stratified analysis and multivariate Poisson regression adopting the stepwise forward method. Variables that obtained a p-value of less than or equal to the chosen significance level (0.05) were maintained in the final model. Professionals who had a greater number of years of work experience, had undertaken three training courses, had knowledge of policy directives concerning occupational accidents, were familiar with the SINAN notification form, were aware that occupational accidents are reportable, and discussed the theme of occupational accidents in the workplace were statistically more likely to notify occupational accidents. Education and training helps raise awareness among health professionals.</description><identifier>ISSN: 1413-8123</identifier><identifier>EISSN: 1678-4561</identifier><identifier>DOI: 10.1590/1413-812320172210.17422017</identifier><language>por</language><publisher>Rio de Janeiro: Associação Brasileira de Saúde Coletiva</publisher><subject>Accidents ; Bivariate analysis ; Confidence intervals ; Health ; Health facilities ; Municipalities ; Occupational accidents ; Poisson density functions ; Regression analysis ; Statistical analysis ; Statistical tests ; Surveillance ; Training</subject><ispartof>Ciência & saude coletiva, 2017-10, Vol.22 (10)</ispartof><rights>Copyright Associação Brasileira de Saúde Coletiva Oct 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids></links><search><creatorcontrib>Monteiro Ferreira, Marcelo Jose</creatorcontrib><creatorcontrib>Romenia Kelly Soares deLima</creatorcontrib><creatorcontrib>Ageo Mario Candido daSilva</creatorcontrib><creatorcontrib>Bezerra Jose Gomes Filho</creatorcontrib><creatorcontrib>Luciano Pamplona deGoes Cavalcanti</creatorcontrib><title>Surveillance of occupational accidents by sentinel workers’ health centers in the municipality of Fortaleza, Northeast of Brazil</title><title>Ciência & saude coletiva</title><description>This article examines the factors associated with the notification of occupational accidents by sentinel workers’ health centers in the municipality of Fortaleza in the northeast of Brazil. An analytical cross-sectional study was conducted of five sentinel workers’ health centers for serious and fatal occupational accidents. A total of 354 interviews were conducted with professionals responsible for notifying occupational accidents. Bivariate analysis was conducted using Pearson’s chi-square test and/or Fisher’s exact test using prevalence ratios and 95% confidence intervals, followed by stratified analysis and multivariate Poisson regression adopting the stepwise forward method. Variables that obtained a p-value of less than or equal to the chosen significance level (0.05) were maintained in the final model. Professionals who had a greater number of years of work experience, had undertaken three training courses, had knowledge of policy directives concerning occupational accidents, were familiar with the SINAN notification form, were aware that occupational accidents are reportable, and discussed the theme of occupational accidents in the workplace were statistically more likely to notify occupational accidents. Education and training helps raise awareness among health professionals.</description><subject>Accidents</subject><subject>Bivariate analysis</subject><subject>Confidence intervals</subject><subject>Health</subject><subject>Health facilities</subject><subject>Municipalities</subject><subject>Occupational accidents</subject><subject>Poisson density functions</subject><subject>Regression analysis</subject><subject>Statistical analysis</subject><subject>Statistical tests</subject><subject>Surveillance</subject><subject>Training</subject><issn>1413-8123</issn><issn>1678-4561</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqNjj1OAzEQhS0EEiFwhxG0LLG9zu6mBRGlooE-GsxE62DsxT-gpELcgutxErwS9FTz5ps3T4-xc8GvxHzBZ0KJuuqErCUXrZQjbpUclwM2EU3bVWreiMOi_4zH7CTGLeeyrZWcsM_7HN7IWItOE_gNeK3zgMl4hxZQa_NELkV43EEswjiy8O7DM4X4_fEFPaFNPehyKgSMg9QTvGRntBnQmrQbM5c-JLS0x0u4K7I8xTTy64B7Y0_Z0QZtpLPfOWUXy9uHm1U1BP-aKab11udQ6sS1WDSluRKdrP_n-gG_31s7</recordid><startdate>20171001</startdate><enddate>20171001</enddate><creator>Monteiro Ferreira, Marcelo Jose</creator><creator>Romenia Kelly Soares deLima</creator><creator>Ageo Mario Candido daSilva</creator><creator>Bezerra Jose Gomes Filho</creator><creator>Luciano Pamplona deGoes Cavalcanti</creator><general>Associação Brasileira de Saúde Coletiva</general><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>L6V</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7S</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope></search><sort><creationdate>20171001</creationdate><title>Surveillance of occupational accidents by sentinel workers’ health centers in the municipality of Fortaleza, Northeast of Brazil</title><author>Monteiro Ferreira, Marcelo Jose ; Romenia Kelly Soares deLima ; Ageo Mario Candido daSilva ; Bezerra Jose Gomes Filho ; Luciano Pamplona deGoes Cavalcanti</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_19600241823</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>por</language><creationdate>2017</creationdate><topic>Accidents</topic><topic>Bivariate analysis</topic><topic>Confidence intervals</topic><topic>Health</topic><topic>Health facilities</topic><topic>Municipalities</topic><topic>Occupational accidents</topic><topic>Poisson density functions</topic><topic>Regression analysis</topic><topic>Statistical analysis</topic><topic>Statistical tests</topic><topic>Surveillance</topic><topic>Training</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Monteiro Ferreira, Marcelo Jose</creatorcontrib><creatorcontrib>Romenia Kelly Soares deLima</creatorcontrib><creatorcontrib>Ageo Mario Candido daSilva</creatorcontrib><creatorcontrib>Bezerra Jose Gomes Filho</creatorcontrib><creatorcontrib>Luciano Pamplona deGoes Cavalcanti</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Engineering Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Ciência & saude coletiva</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Monteiro Ferreira, Marcelo Jose</au><au>Romenia Kelly Soares deLima</au><au>Ageo Mario Candido daSilva</au><au>Bezerra Jose Gomes Filho</au><au>Luciano Pamplona deGoes Cavalcanti</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Surveillance of occupational accidents by sentinel workers’ health centers in the municipality of Fortaleza, Northeast of Brazil</atitle><jtitle>Ciência & saude coletiva</jtitle><date>2017-10-01</date><risdate>2017</risdate><volume>22</volume><issue>10</issue><issn>1413-8123</issn><eissn>1678-4561</eissn><abstract>This article examines the factors associated with the notification of occupational accidents by sentinel workers’ health centers in the municipality of Fortaleza in the northeast of Brazil. An analytical cross-sectional study was conducted of five sentinel workers’ health centers for serious and fatal occupational accidents. A total of 354 interviews were conducted with professionals responsible for notifying occupational accidents. Bivariate analysis was conducted using Pearson’s chi-square test and/or Fisher’s exact test using prevalence ratios and 95% confidence intervals, followed by stratified analysis and multivariate Poisson regression adopting the stepwise forward method. Variables that obtained a p-value of less than or equal to the chosen significance level (0.05) were maintained in the final model. Professionals who had a greater number of years of work experience, had undertaken three training courses, had knowledge of policy directives concerning occupational accidents, were familiar with the SINAN notification form, were aware that occupational accidents are reportable, and discussed the theme of occupational accidents in the workplace were statistically more likely to notify occupational accidents. Education and training helps raise awareness among health professionals.</abstract><cop>Rio de Janeiro</cop><pub>Associação Brasileira de Saúde Coletiva</pub><doi>10.1590/1413-812320172210.17422017</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1413-8123 |
ispartof | Ciência & saude coletiva, 2017-10, Vol.22 (10) |
issn | 1413-8123 1678-4561 |
language | por |
recordid | cdi_proquest_journals_1960024182 |
source | EZB-FREE-00999 freely available EZB journals |
subjects | Accidents Bivariate analysis Confidence intervals Health Health facilities Municipalities Occupational accidents Poisson density functions Regression analysis Statistical analysis Statistical tests Surveillance Training |
title | Surveillance of occupational accidents by sentinel workers’ health centers in the municipality of Fortaleza, Northeast of Brazil |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-11T21%3A57%3A10IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Surveillance%20of%20occupational%20accidents%20by%20sentinel%20workers%E2%80%99%20health%20centers%20in%20the%20municipality%20of%20Fortaleza,%20Northeast%20of%20Brazil&rft.jtitle=Ci%C3%AAncia%20&%20saude%20coletiva&rft.au=Monteiro%20Ferreira,%20Marcelo%20Jose&rft.date=2017-10-01&rft.volume=22&rft.issue=10&rft.issn=1413-8123&rft.eissn=1678-4561&rft_id=info:doi/10.1590/1413-812320172210.17422017&rft_dat=%3Cproquest%3E1960024182%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1960024182&rft_id=info:pmid/&rfr_iscdi=true |