Literature DB >> 21445492

[Quality of the Live Birth Information System in the state of Paraná, from 2000 to 2005].

Gisele Ferreira da Silva1, Tirza Aidar, Thais Aidar de Freitas Mathias.   

Abstract

This study analyzed the quality of the Live Birth Information System in the State of (SINAC) Paraná, Brazil, from 2000 to 2005, through the percentage of undeclared variables, using a database provided by the State Health Department. Quality was analyzed using the following scale: excellent, undeclared percentage<1%; good between 1% and 2.99%; regular between 3% and 6.99%; and poor>7%. The quality in completing the SINAC in Paraná was excellent, especially as of year 2003. The mothers' occupation, classified as regular and poor, was the variable with the lowest quality in all Regional Health Departments. Live births, stillbirths, and race/color varied between poor and excellent quality. There is a need to improve the quality of the variables marital status and stillbirths in all Regional Health Departments. The excellence of the SINAC demonstrated its potential as a source of health information in Paraná.

Entities:  

Mesh:

Year:  2011        PMID: 21445492     DOI: 10.1590/s0080-62342011000100011

Source DB:  PubMed          Journal:  Rev Esc Enferm USP        ISSN: 0080-6234            Impact factor:   1.086


  3 in total

1.  Quality of the data in the information system for work accidents under exposure to biological materials in Brazil, 2010 to 2015.

Authors:  Sâmea Cristina Santos Gomes; Arlene de Jesus Mendes Caldas
Journal:  Rev Bras Med Trab       Date:  2017-09-01

2.  The Growing Trend of Moderate Preterm Births: An Ecological Study in One Region of Brazil.

Authors:  Rosana Rosseto de Oliveira; Emiliana Cristina Melo; Larissa Pereira Falavina; Thais Aidar de Freitas Mathias
Journal:  PLoS One       Date:  2015-11-03       Impact factor: 3.240

3.  The inner state differences of preterm birth rates in Brazil: a time series study.

Authors:  Rosana Rosseto de Oliveira; Emiliana Cristina Melo; Elizabeth Fujimori; Thais Aidar de Freitas Mathias
Journal:  BMC Public Health       Date:  2016-05-17       Impact factor: 3.295

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.