Strengthening Competence of Hospital Data Management to Control The Quality Of Cesarean Section Rate in Banten Province, Indonesia
DOI:
https://doi.org/10.23886/ejki.11.480.222Keywords:
Robson Ten Group Classification System, cesarean section, quality control, data managementAbstract
Cesarean delivery dramatically increased worldwide, including in Indonesia, especially after the implementation of National Health Insurance, with a steady increase of 2-3% every year. This study aims to evaluate the effect of guidance in implementing the Robson Classification in cesarean section quality control in hospitals. Three hospitals in Banten were enrolled in this study: one public hospital and two private hospitals. Each hospital’s staff were given online and offline training on quality control of cesarean section, managing cesarean section data, data entry, data analysis and presentation using Robson Classification. Participant’s knowledge and attitude were collected before and after intervention using a standardized questionnaire. The results showed that the intervention improved many aspects of the workflow and knowledge of the hospital staff regarding cesarean section. There was an increase of up to 77.7% in digital data management, a 23.6% increase in routine meeting activities, and a 29.5% increase in cesarean quality control. The Robson classification system was implemented successfully, increasing the staff's ability to identify the groups needing cesarean sections more effectively. Guidance on data management for cesarean section increases the ability of the three hospitals in Banten to control cesarean section using Robson's Classification. Guidance methods can be used to assist other hospitals in controlling cesarean section.
Downloads
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Omo Abdul Madjid, Widya Solichin , Siti Rafiqah Fajri Harun, Seno Adjie, I Putu Gede Kayika, Arietta Pusponegoro
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Accepted 2023-12-21
Published 2023-12-29