loading
Documents

Research.Publish.Connect.

Paper

Authors: Giovana Gelatti 1 ; Pedro Rodrigues 2 and Ricardo João Correia 2

Affiliations: 1 Institute of Mathematical and Computer Sciences of University of São Paulo, 13566-590, São Carlos, Brasil, Centre for Health Technology and Services Research, 4200-450, Porto, Portugal ; 2 Centre for Health Technology and Services Research, 4200-450, Porto, Portugal, Universidade do Porto, Faculty of Medicine of University of Porto, 4200-319, Porto, Portugal

ISBN: 978-989-758-398-8

ISSN: 2184-4305

Keyword(s): Health Policies, Medical Information, Health Data Science, Computer Support, Robson Classification, Obstetrics.

Abstract: Introduction: In 2015 the Directorate-General for Health of Portugal published new standards (DGS 001/2015) for the registration of cesarean section indicators. The existing scenario was the lack of data, influencing the quality of indicators and analyses on them. The use of a single computer tool was encouraged to register and compare indicators between hospitals with special attention to the Robson Classification as it employs basic information of pregnancy to classify all deliveries in 10 groups. The selected tool was Obscare software. Aim: Describe the scenario on data quality by analyzing the completeness of obstetric records from 2016 to 2018 of the variables used in Robson’s classification collected by the Obscare tool. Methods: The completeness is evaluated using a number of missing values. The lower the completeness, the higher the number of missing values. Also, we perform the imputation of data based on basic concepts and analyzed the participation of this data in the ind ication of the type of delivery to be performed according to classification suggested by DGS 001/2015. Results: From 2016 to 2018, 5922 number of pregnancies resulted in 5922 of Robson Classifications. The variables with lower completeness were related to previous cesarean section (77%) and previous pregnancies (43%). After imputation, it fell to 3.9% and 0.56%, respectively causing 4.6% of discarded data from the total. Discussion: There is a significant amount of missing data in basic variables used to study the classification of delivery type. We believe that encouraging data completion with the possibility of comparing data between hospitals should be a priority in the health area. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.224.127.143

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Gelatti, G.; Rodrigues, P. and Correia, R. (2020). Informatics as Support for Changes in Health Policy: A Case in Obstetrics.In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5 HEALTHINF: HEALTHINF, ISBN 978-989-758-398-8, ISSN 2184-4305, pages 745-749. DOI: 10.5220/0009173807450749

@conference{healthinf20,
author={Giovana Jaskulski Gelatti. and Pedro Pereira Rodrigues. and Ricardo João Cruz Correia.},
title={Informatics as Support for Changes in Health Policy: A Case in Obstetrics},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5 HEALTHINF: HEALTHINF,},
year={2020},
pages={745-749},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009173807450749},
isbn={978-989-758-398-8},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5 HEALTHINF: HEALTHINF,
TI - Informatics as Support for Changes in Health Policy: A Case in Obstetrics
SN - 978-989-758-398-8
AU - Gelatti, G.
AU - Rodrigues, P.
AU - Correia, R.
PY - 2020
SP - 745
EP - 749
DO - 10.5220/0009173807450749

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.