Geoprocessing and prevalence of incomplete prenatal booklets and gestational diabetes screening in a southern Brazilian University Hospital
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https://doi.org/10.17058/rips.v3i2.16104Palabras clave:
Pregnancy, Prenatal Care, Gestational Diabetes, Spatial DistributionResumen
Objective: to evaluate the prevalence of an incomplete prenatal booklet and gestational diabetes mellitus (GDM) screening of postpartum women in a southern Brazilian University Hospital, relating to the municipality of origin and the neighborhood in which they live. Methods: cross-sectional study, including 283 postpartum women, aged over 18 years and who had their births at the University Hospital of Santa Maria/Brazil from January to April 2015. An incomplete prenatal booklet was defined in the absence of any data referring to the obstetric history and the current pregnancy, as well as the lack of identification of the pregnant woman and the Health Unit where prenatal care was performed. For GDM screening, information on fasting blood glucose and risk factors collected from the postpartum women was used. The SPSS 20.0 program was used for descriptive statistics and the Geolocation maps were separated by municipalities of origin and by neighborhoods where the prenatal care of the puerperal women occurred and plotted according to the variables evaluated, using the ArcGIS 10.3 software. Results: the prevalence of an incomplete prenatal booklet was 79.2%, while prevalence of positive GDM screening was 73.9%. The geolocation pointed out 14 municipalities of origin and six neighborhoods where prenatal care had the highest prevalence of incomplete prenatal booklets. For GDM screening, spatial distribution showed ten municipalities of origin and four neighborhoods with a higher prevalence of positive screening for GDM. Conclusion: the geolocation showed that 14 municipalities of origin and six neighborhoods had the highest prevalence of incomplete prenatal booklets. In addition, ten municipalities of origin and four neighborhoods presented with higher prevalence of positive screening for GDM.
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Goudard MJ, Simoes VM, Batista RF, Queiroz RC, Brito MT, Coimbra LC, da Gloria Martins M, Barbieri MA, Nathasje IF. Inadequacy of the content of prenatal care and associated factors in a cohort in the northeast of Brazil. Cien Saude Colet 2016;21(4):1227-38. https://doi.org/10.1590/1413-81232015214.12512015
Nunes JT, Gomes KR, Rodrigues MT, Mascarenhas MD. Quality of prenatal care in Brazil: review of published papers from 2005 to 2015. Cad Saúde Colet 2016;24(2):252-61. https://doi.org/10.1590/1414-462X201600020171
Guimarães TA, Pinheiro AK, Silva AA, Castro LR, da Silva MB, Fonseca LM. Quality of the prenatal care records in the pregnant women’s booklet. Rev Baiana Enferm 2020;34:e35099. https://doi.org/10.18471/rbe.v34.35099
Brazil. Ministry of Heath. 2011. Secretaria de Atenção à Saúde. Departamento de Ações Programáticas Estratégicas. Portaria nº 1.459, de 24 de junho de 2011. Institui no âmbito do Sistema Único de Saúde - SUS - a Rede Cegonha. Brasília (DF); 2011.
Anversa ET, Bastos GA, Nunes LN, Dal Pizzol TD. Quality of prenatal care: traditional primary care and Family Health Strategy units in a city in southern Brazil. Cad Saúde Pública. 2012;28:789-800.
Barros PD, Aquino ÉC, Souza MR. Fetal mortality and the challenges for women's health care in Brazil. Revista de saude publica 2019;53:12.
Souza IA, Serinolli MI, Novaretti MC, de Souza DC. Compatibilidade entre os dados do cartão da gestante e o sistema informatizado da web sisprenatal. Prisma.com 2016;32:127-47. https://doi.org/10.21747/16463153/32a6
Santos TM, Abreu AP, Campos TG. Avaliação dos registros no cartão de pré-natal da gestante. Rev Enferm UFPE 2017;11(Suppl 7):2939-45. https://doi.org/10.5205/reuol.11007-98133-3-SM.1107sup201715
Brasil. Ministério da Saúde. Secretaria de Atenção à Saúde. Departamento de Atenção Básica. Atenção ao pré-natal de baixo risco. Brasília: Ministério da Saúde; 2012. 318 p. Disponível em: http://se.corens.portalcofen.gov.br/wp-content/uploads/2019/05/cadernos_atencao_basica_32_prenatal.pdf
Pasa L, Possuelo LG, Borges TS, de Borba Schneiders L, da Silva CF, Welser L, Kern DG, Reuter CP, Burgos MS. Geolocalização de casos de sobrepeso/obesidade e pressão arterial alterada em escolares. Cinergis 2017;18(3):233-9. http://doi.org/10.17058/cinergis.v18i3.9670
Costa GF. Geoprocessamento: uso e aplicação na saúde pública e na saúde ambiental. São Paulo: Senac; 2002.
Carvalho AO, Eduardo MBP. Sistemas de informação em saúde para municípios. São Paulo: Universidade de São Paulo. 1998. 101p. Disponível em: http://bvsms.saude.gov.br/bvs/publicacoes/ saude_cidadania_volume06.pdf
International Association of Diabetes and Pregnancy Study Group. Recommendations on diagnosis and classification of hyperglycemia in pregnancy. Diabetes Care. 2010;33:676-82. https://doi.org/10.2337/dc09-1848
Sociedade Brasileira de Diabetes. Diretrizes da Sociedade Brasileira de Diabetes 2019-2020 [documento na Internet]. 2019. Disponível em: https://www.diabetes.org.br/profissionais/images/DIRETRIZES-COMPLETA-2019-2020.pdf
Souza IA, Serinolli MI, Novaretti MC. Prenatal and puerperal care and indicators of severity: a study about the information available on pregnant women’s card. Rev. Bras Saude Mater Infant 2019;19(4):983-9. https://doi.org/10.1590/1806-93042019000400014
Silva MA, Gravena AA, de Oliveira Demitto M, Accorsi R, Dell’Agnolo CM, Pelloso SM. Cartão da gestante e depoimentos das puérperas: correspondência das informações. Revista Saúde & Comunidade. 2018;1(1):42-50.
España-Dorado SA, González-Dagua YC, Riascos-Melo JJ, Ortiz-Martínez RA, Chagüendo-García JE. Prevalence of gestational diabetes and identification of associated factors and maternal-perina-tal outcomes in Colombia, following the implementation of the new IADPSG criteria. Rev Fac Med 2021;69: http://doi.org/10.15446/revfacmed.v69n2.80195
Pombo CN, Rempel C, Cano RL, Carreno I, Moreschi C. Prevalencia de diabetes gestacional al utilizar como criterio diagnósticola glucemia basal en Lajeado (Brasil). Enfermería integral 2016(113):75-80.
da Costa YL, Nicácio DB, Pedrosa AK, dos Santos Araújo MA, de Lima Mendonça A. Caderneta da gestante: avaliação dos dados perinatais. Interfaces Científicas 2020;8:336-46. https://doi.org/10.17564/2316-3798.2020v8n2p336-346
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