The Development of an Electronic Clinical Decision and Support System to Improve the Quality of Antenatal Care in Rural Tanzania: Lessons Learned Using Intervention Mapping

It is widely recognised that high quality antenatal care is a key element in maternal healthcare. Tanzania has a very high maternal mortality ratio of 524 maternal deaths per 100,000 live births. Most maternal deaths are due to preventable causes that can be detected during pregnancy, and antenatal care therefore plays an important role in reducing maternal morbidity and mortality. Unfortunately, quality of antenatal care in Tanzania is low: Research has shown that healthcare workers show poor adherence to antenatal care guidelines, and the majority of pregnant women miss essential services. Digital health tools might improve the performance of healthcare workers and contribute to improving the quality of antenatal care. To this end, an electronic clinical decision and support system (the Nurse Assistant App) was developed and implemented in Tanzania in 2016 to provide digital assistance during antenatal care consultations to healthcare workers. The current study systematically evaluated the development and implementation process of the Nurse Assistant App in Magu District, Tanzania, with the aim of informing future programme planners about relevant steps in the development of a digital health intervention. Desk research was combined with semi-structured interviews to appraise the development process of the digital health tool. We employed the criteria stipulated by Godin et al., which are based on the six steps of Intervention Mapping [IM; Bartholomew Eldredge et al.]. Findings indicated that five of the six steps of IM were completed during the development and implementation of the Nurse Assistant App. Tasks related to community engagement, adjustment to local context, implementation in the practical context in collaboration with local partners, and rigorous evaluation were accomplished. However, tasks related to identifying theory-based behaviour change methods were not accomplished. Based on the lessons learned during the process of developing and implementing the Nurse Assistant App, we conclude that programme developers are recommended to (1) engage the community and listen to their insights, (2), focus on clear programme goals and the desired change, (3), consult or involve a behaviour change specialist, and (4), anticipate potential problems in unexpected circumstances.

“The nurse assistant app” to improve healthcare worker performance during antenatal care in Tanzania

Background The Nurse Assistant App (NAA) was developed to improve the quality of antenatal care in Magu District Tanzania by providing digital assistance to healthcare workers. The NAA guides healthcare workers step by step through all necessary antenatal care interventions and provides tailored advice and suggestions for follow-up actions. We used the Intervention Mapping framework to retrospectively evaluate the development of the NAA. Methods Desk research into the content, evidence base, and development of the NAA was performed combined with semi-structured interviews with two initial developers to fill in a planning tool consisting of 40 criteria for systematic evaluation of the data. Results Findings showed that the NAA was developed based on existing literature on antenatal care guidelines as well as the knowledge and experience of a broad variety of stakeholders and that five of the six steps of Intervention Mapping were performed. However, the development of the NAA lacked a theoretical foundation on behaviour change models. Future research will focus on the experiences of healthcare workers providing antenatal care using the NAA. Conclusions The NAA was developed in collaboration with relevant stakeholders and took practical matters as well as evidence from existing literature into account. However, we recommend that the responsibility and ownership of the NAA should be shared with the local government to increase the potential and sustainability of the NAA. Key messages The NAA was developed to improve the quality of antenatal care in rural Tanzania targeting healthcare workers. The current evaluation informs future digital health tool developers in sub-Saharan Africa about elements to take into account during the development phase such as systematic mapping of the process.