Training interventions on Helping Babies Breathe among health workers in tertiary hospital of the Republic of South Sudan: A non-randomized quasi-experimental study

Main Article Content

Christopher Vunni Draiko *
Khemika Yamarat
Alessio Panza
Judith Draleru
Martin Taban
Joseph Onyango
Regina Akur
Rose Aliru Omega
(*) Corresponding Author:
Christopher Vunni Draiko |


This study aimed to examine the effects of the Helping Babies Breathe (HBB) training interventions program on the knowledge, psychomotor skills, and competency of health workers in managing birth asphyxia and reducing mortality of newborns experiencing asphyxia within 24 hours. This study used pre- and post-test design (quasi experimental study). Purposive sampling was employed, and a computer-generated number was used to select the participants. Health workers from Juba Teaching Hospital comprised the intervention group. They were evaluated before and after the training from February to June 2017. A post training skill and competency evaluation was performed using a NeoNatalie newborn simulator and was repeated after three months of implementation for intervention and control group. Seventy health workers were enrolled; 40 were in the intervention group and 30 in the control group. Early newborn mortality due to asphyxia within 24 hours in intervention and control measure at pre and post implementation showed a significant reduction within the intervention than the control. Knowledge, psychomotor and competency of health care workers improved immediately after training and early newborn mortality reduced by half at the end of three months. It is recommended that training of health workers on HBB should be scaled up in most of the health facilities in South Sudan.


Download data is not yet available.


PlumX Metrics provide insights into the ways people interact with individual pieces of research output (articles, conference proceedings, book chapters, and many more) in the online environment. Examples include, when research is mentioned in the news or is tweeted about. Collectively known as PlumX Metrics, these metrics are divided into five categories to help make sense of the huge amounts of data involved and to enable analysis by comparing like with like.

Article Details