Evidence-based Guidance, Management and Early Warning System for Labor and Delivery
Prolonged or obstructed labor is a major contributor to maternal and new born morbidity and mortality. Each year close to 289,000 maternal deaths occur globally and over million babies are stillborn due to interpartum related complications. These the number are disproportionately high in Low and Middle income countries indicating there preventable nature with provision of appropriate care. For example, the maternal mortality ratio in developing countries in 2013 is 230 per 100 000 live births versus 16 per 100 000 live births in developed countries. India contributes to nearly 1 in 5 maternal deaths.
WHO recommends use of partograph (preprinted one page of paper on which labor observation are recorded) to follow labor and delivery. Though the purpose of partograph is to help healthcare providers and birth attendant to record, interpret, analyze, and use data to make decisions on labor management; this purpose is not fulfilled due to non-completion of requisite information and insufficient training to healthcare workers in resource limited settings. Paper based partograph require birth attendant to fill-in multiple data points by and still depend their mental ability to interpret the data to make choices – resulting in low adoption rates even in moderately equipped labor wards. Currently only place where partograph are used routinely are government medical college by under training doctors/midwifes, who also abandon them upon graduation.
Digi-Parto is mobile phone/tablet based application plus device solution to guide, manage and provide early warnings during labor and delivery. It seamlessly integrates WHO recommended partograph with low cost sensing technologies for monitoring fetal and maternal condition and labor progression and provide guidance to healthcare workers in real-time. The motivation of this project is to empower healthcare workers with the knowledge and tools to recognizing early signs of fetal distress, prolonged labor or other complication which might intervention to ensure safety of both mother and child. Additionally, while the labor progression is proceeding normally, assure expecting mothers based on collected data, avoiding unnecessary panic, risk, and burden on already strained healthcare systems.
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