Implementation of a three-pillar training intervention to improve maternal and neonatal healthcare in the Democratic Republic Of Congo: a process evaluation study in an urban health zone.

BACKGROUND: Numerous quality-improvement projects including healthcare professional training are conducted globally every year, but there is a gap between the knowledge obtained in the training and its implementation in practice and policy. A quality-improvement programme was conducted in eastern Democratic Republic of Congo (DRC) to reduce maternal and neonatal mortality and morbidity. OBJECTIVE: This study explores the implementation process, mechanisms of impact, and outcomes of a training intervention addressing labour and birth management and involving healthcare providers in an urban health zone in eastern part of DRC. METHODS: In 2019, master trainers were educated and in turn trained facilitators from seven participating healthcare facilities, which received the necessary equipment. Data comprised statistics on maternal and neonatal birth outcomes for the years before and after the training intervention, and focus group discussions (n = 18); and interviews (n = 2) with healthcare professionals, at the end of (n = 52) and after the training intervention (n = 59), respectively. The analysis was guided by a process evaluation framework, using descriptive statistics and content analysis. RESULTS: The three-pillar training intervention using a low-dose, high-frequency approach was successfully implemented in terms of fidelity, dose, adaptation, and reach. Several improved care routines were established, including improved planning, teamwork, and self-reflection skills, as well as improved awareness of the influence of the care environment, of having a respectful encounter, and of allowing a companion to be present with the birthing woman. The proportions of emergency caesareans decreased and of vaginal births increased without an increase in maternal and neonatal complications. CONCLUSION: The findings of this study are encouraging and provide learnings for other healthcare facilities in DRC as well as other low-income countries. When designing similar training interventions, it is crucial to consider contextual factors such as incentives and to measure more salutogenic outcomes.

Contextual factors influencing a training intervention aimed at improved maternal and newborn healthcare in a health zone of the Democratic Republic of Congo.

BACKGROUND: Maternal and neonatal mortality and morbidity in the Democratic Republic of Congo (DRC) are among the highest worldwide. As part of a quality improvement programme in a health zone in the DRC aimed at contributing to reduced maternal and neonatal mortality and morbidity, a three-pillar training intervention around childbirth was developed and implemented in collaboration between Swedish and Congolese researchers and healthcare professionals. The aim of this study is to explore contextual factors influencing this intervention. METHODS: A qualitative research design was used, with data collected through focus group discussions (n = 7) with healthcare professionals involved in the intervention before and at the end (n = 9). Transcribed discussions were inductively analysed using content analysis. RESULTS: Three generic categories describe the contextual factors influencing the intervention: i) Incentives motivated participants' efforts to begin a training programme; ii) Involving the local health authorities was important; and (iii) Having physical space, electricity, and equipment in place was crucial. CONCLUSIONS: This study and similar ones highlight that incentives of various types are crucial contextual factors that influence training interventions, and have to be considered already in the planning of such interventions. One such factor is expectations of monetary incentives. To meet this in a small research project like ours would require a reduction of the scale and thus limit the implementation of new evidence-based knowledge into practice aimed at reducing maternal mortality and morbidity.