Web-Based Partograph on Early Detection of Emergency Cases and Referral Processes

Devianti Tandiallo, Mardiana Ahmad, Syafruddin Syarif, Nasrudin A. Mappaware, Prihantono Prihantono and Burhanuddin Bahar

Global Journal of Health Science, 2019, vol. 11, issue 6, 79

Abstract: INTRODUCTION- The partograph is designed as a tool to monitor a woman’s progress of labor. If it is used appropriately, the partograph can be used as a means of prevention and an early warning system to the need for further action such as caesarian section. The used of partograph is able to lower the percentage of Maternal Mortality Rate (MMR) and Infant Mortality Rate (IMR). This study aimed to determine the comparison between word electric browser (WEB)-based partograph and the conventional partograph. MATERIALS & METHODS- This study aimed to compare between the use of WEB-based patorgaph and conventional patograph. To gain the data, the researcher adopted quasi experimental method. Using purposive sampling technique, 30 women in labour were participated in this study. The data were analyzed by using the Independent T- test and Mann-Whitney test. RESULTS- The result of the study showed that the utilization of WEB-based partograph is faster in recording the contraction, oxytocin, and the process of giving birth than the utilization of conventional partograph. Furtehrmore, promptness of WEB-based partograph in early detection has p-value 0.000 (<0.05) and p-value in emergency detection is 0.014 (<0.05) which means that there was differences between the use of WEB-based partograph and conventional partograph. Meanwhile, p-value of referral process is 1.000 (>0.05) which means that there was no difference in using both WEB-based partograph and conventional partograph. CONCLUSION- This means that using the monitoring of the WEB-based partograph or the conventional partograph showed differences. The utilization of WEB-based partograph is better than conventional partograph since it can be used as a means to monitor the progress of labour.

Date: 2019
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