Comparative Study between WHO Modified Partograph and the Paperless Partograph in Management of Labour

Document Type : Original Article

Authors

1 Obstetrics and Gynecology, Zagazig University, Egypt

2 Obstetrics and Gynecology department,Faculty of Medicine, Zagazig University, Egypt

3 Obstetrics and Gynecology department, Faculty of Medicine, Zagazig University, Egypt

Abstract

Background: Partograph is an important tool for preventing prolonged and obstructed labour used firstly by Friedman since 1954. However the current problem is that the use of patograph is low in developing countries due to many factors as high patient load. The Paperless Partograph proposed by Dr. Debdas is a 20 second tool for detection of abnormal labour. This study aimed to assess user friendliness and effectiveness of paperless partograph in management of labour. Methods: This study was performed prospectively during the period from November 2018 to August 2019 at Zagazig University Hospital, Egypt. where 300 women in labour were included and divided in two groups ,one group monitoring by WHO partograph and other group by paperless partograph. 10 resident doctors were included to assess the user friendliness and which partograph they prefers Results: The maternal and perinatal outcome and were comparable between both the partographs (91.3%) of cases monitored WHO partograph and (93.3%) cases monitored by the Paperless partograph had a spontaneous delivery with no significance difference between both .the mean of user friendliness score was lower for WHO Modified Mean ± SD (3.7 ±0.47) than Paperless partograph Mean ± SD (8.12±0.8) p value was < 0.001 highly significant. The Paperless partograph was preferred by doctors (80%) as it is simple and non consuming time .
Conclusions: In our study paperless partograph was found to be preferred for monitoring labour.
Keywords: Abnormal Labour, WHO partograph, paperless.

Keywords

Main Subjects

Zagazig University Medical Journal
Volume 28, Issue 6.1
supplement 1
November 2022
Pages 39-44

Files

Share

How to cite

Statistics