Analysis of the quality of prenatal data of pregnant women attended at Healthcare Services in the city of São Paulo between 2012 and 2020 / Análise da qualidade dos dados de pré-natal de gestantes atendidas em Unidades Básicas de Saúde do município de São Paulo entre 2012 e 2020
Corrêa, Fernanda Ferreira; Carrilho, Thaís Rangel Bousquet; Bonilha, Eliana de Aquino; Keller, Victor Nahuel; Melo, Tarcisio Cantos de; Kac, Gilberto; Diniz, Carmen Simone Grilo.
Rev. bras. epidemiol
; 26: e230051, 2023. tab, graf
Artículo
en Inglés
|
LILACS-Express
| ID: biblio-1521746
ABSTRACT
Objective:
To analyze the quality of data collected during prenatal care recorded in the Integrated Health Care Management System (SIGA) of the Municipal Department of Health of São Paulo from 2012 to 2020.Methods:
Descriptive study using SIGA data and the variables maternal height (cm), weight (kg) measured throughout pregnancy, gestational age at prenatal consultation, systolic (SBP) and diastolic (DBP) blood pressure (in mmHg), and body mass index (BMI) at the beginning of pregnancy (up to 8 weeks). Quality analysis was carried out by calculating the indicators percentage of incompleteness and zero values of all variables studied, percentage of implausible values for height, weight, BMI; preference for terminal digit of weight and height, and normality of distributions.Results:
The database of pregnant women made available for analysis included 8,046,608 records and 1,174,115 women. The percentage of incompleteness and zero values was low (<1%) in all original variables of the system. There are more records at the end of pregnancy. For the four original variables of interest in the database (weight, height, SBP, DBP), there is a clear preference for the terminal digit. The variables of interest did not present an approximately normal distribution during the evaluated period.Conclusion:
The quality analysis showed the need for improving the standardization of information collection and recording, the rounding of measurements and the need for encouraging pregnant women to start prenatal care as soon as possible, in such a way that it is important to invest in data quality, through educational resources for professionals who work in health care.
Biblioteca responsable:
BR1.1
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