The impact of the Safe Delivery Application on knowledge and skills managing postpartum haemorrhage in a low resource setting: a cluster randomized controlled trial in West Wollega region, Ethiopia

Plain Language summaryMaternal mortality caused by postpartum haemorrhage is a major public health concern in many low-income countries. Having access to skilled health care professionals during pregnancy and childbirth can prevent maternal deaths related to postpartum haemorrhage. mHealth interventions like the Safe Delivery App (SDA), a smartphone application, has shown the potential to improve the quality of care in emergency situations related to childbirth in low-income health system settings.This study examines the SDA as a training/education tool for improving health workers' competencies and performances in managing postpartum haemorrhage. The SDA contained animated instruction videos on how to prevent and treat postpartum haemorrhage and a list of essential drugs and basic equipment.In Ethiopia, 70 health facilities and 176 birth attendants were included in a randomized controlled trial. The intervention group received a smartphone with the SDA installed and half a day of introduction to the use of the app. Birth attendants' skills and knowledge in managing postpartum haemorrhage in the control and the intervention group were tested at baseline, 6 and 12 months after intervention.Our study found that the SDA is an effective tool to improve and sustain birth attendants' knowledge and skills in the management of postpartum haemorrhage in a rural, low-resource health system setting in Ethiopia, which confirms findings in other non-randomized studies examining the SDA on the management of postpartum haemorrhage. BackgroundPostpartum haemorrhage is one of the leading causes of maternal mortality in low-income countries. Improving health workers' competencies in obstetric emergencies in low-income settings, has been recognized as an important factor in preventing maternal mortality and morbidity. mHealth interventions in maternal and newborn health care has shown the potential to improve health service delivery. Strong study designs such as randomized controlled trials are missing to estimate the effectiveness of the mHealth interventions.MethodsBetween August 2013 and August 2014, 70 health facilities in West Wollega Region, Ethiopia were included and randomized to intervention or control in a cluster randomized controlled trial. At intervention facilities birth attendants were provided with a smartphone with the SDA installed. Of 176 midwives and health extension workers, 130 completed at 12 months follow-up. At baseline and after 6- and 12-months participants were assessed. Knowledge was tested by a Key Feature Questionnaire, skills by an Objective Structured Assessment of Technical Skills in a structured role-play scenario.ResultsBaseline skills scores were low and comparable with a median of 12/100 in the intervention and the control group. After 6 months skills had doubled in the intervention group (adjusted mean difference 29.6; 95% CI 24.2-35.1 compared to 1 center dot 8; 95% CI - 2.7 to 6.3 in the control group). At 12 months skills had further improved in the intervention group (adjusted mean difference 13.3; 95% CI 8.3-18.3 compared to 3.1; 95% CI - 1.0 to 7.3 in the control group). Knowledge scores also significantly improved in the intervention group compared to the control (adjusted mean difference after 12 months 8.5; 95% CI 2.0-15.0).ConclusionThe Safe Delivery App more than doubled clinical skills for managing postpartum haemorrhage among birth attendants making it an attractive tool to reduce maternal mortality.Trial registration: Clinicaltrial.gov Identifier NCT01945931. September 5, 2013.

Automated summary

This study examines the effectiveness of the Safe Delivery App (SDA) as a training tool in improving health workers' competencies in managing postpartum haemorrhage. The results indicate that the SDA is an effective tool in improving birth attendants' skills and knowledge in this area, particularly in low-income health systems.