Detailed Description:

Improving maternal and newborn health requires innovative approaches that are flexible and cater to the need of the end-user, the patient. In the recent years telecommunication services that have seamlessly entered the lives of the both providers and receivers of health care both in developing and underdeveloped nations and have been a fertile ground for such innovations. There has been rapid growth of the use of mobile phone technologies (mobile health/mHealth) in low and middle income countries (LMICs). These function predominantly in the areas of client education and behavior change communication, registries and vital event tracking, data collection and reporting, provider to provider communication and electronic health records. In our setting as well, there has been successful implementation of the electronic medical records at health facility level and community based institutions and mobile health applications for the community level health providers. The major users of these digital platforms are service providers rather than patients. However, using electronic medical records that a pregnant woman and/or a mother can fill up at home may provide more opportunities to identify risks and practices that reflect the real situation better than surveys or registries which rely on recall. So far, there is no such intervention in our setting to incorporate the users as the direct data keepers in the health system. Also, there is lack of evidence on the benefit of such applications for maternal and child health. Therefore, we are conducting a cluster randomized controlled trial on user based advanced data systems to improve health in early life in rural Nepal. The intervention will be evaluated using a cluster randomized controlled trial design. The rationale is that the intervention is applied to the entire community and individual randomization is not feasible due to contamination. A rural municipality ward, the lowest administrative level in Nepal, will be randomized into intervention or control cluster. Because of the nature of the intervention, allocation is not masked. This project will be carried out in three rural municipalities of southern Lalitpur District, namely Konjyosom, Mahankal and Bagmati Rural Municipalities. Eighteen wards or clusters, nine(9) in the intervention arm and nine(9) in the control arm are included. The investigators will implement the mobile-phone based system in the intervention clusters while non-intervention clusters will have the currently existing health care data management and patient contact system. In the intervention arm, a data-system with mobile phone-based application will be deployed. The application will be used by pregnant women to obtain useful information related to their pregnancy and also enter vital information related to their health. The database will be accessible to healthcare providers at various levels of our health system such as health posts, and district or municipal level hospitals. The healthcare providers will also be able to access the data and enter clinical information when the pregnant women go to the health centre. The application will also be used during the time of labour and after delivery to record information about the post-partum state and infancy of the newborn child. The investigators will carry out a prospective follow-up in which all institutional/home deliveries, birth preparedness and complication readiness parameters, severe maternal morbidity, neonatal adverse outcomes, stillbirths, neonatal and later infant deaths and deaths of women in the study population are recorded through interviews conducted during the recruitment, at 6-9 months of pregnancy, right after delivery and at 42 days after delivery. This study is led by Patan Academy of Health Sciences, Lalitpur, Nepal in collaboration with Purbanchal University, Lalitpur, Nepal. The investigators have received a grant from University Grants Commission, Nepal for this project. The investigators have signed a Memorandum of Understanding with the three rural municipalities of southern Lalitpur namely, Bagmati, Konjyosom and Mahankal Rural Municipalities and plan to work in close liaison with the Ministry of Health, Department of Health Services, Health Office for Lalitpur District and Government Integrated Data centre (GIDC) to undertake this project.}}