Malaria in pregnancy (MiP) poses a significant public health threat, particularly in sub-Saharan Africa, contributing to maternal anemia, preterm birth, low birth weight, and maternal and infant mortality. Early diagnosis and strict adherence to antimalarial treatments are essential to reduce these risks, yet access to timely care and consistent treatment adherence remain major challenges. Mobile health (mHealth) interventions, utilizing mobile technologies such as SMS reminders, diagnostic applications, and telemedicine platforms, have emerged as innovative tools to address these barriers. This comprehensive review examined the impact of mHealth interventions on malaria diagnosis and treatment adherence among pregnant women in malaria-endemic regions. Through case studies from Kenya, Nigeria, and Tanzania, we explore the effectiveness of mHealth solutions in improving maternal health outcomes by ensuring timely diagnosis and promoting adherence to treatment. Methodologically, the review drew on empirical studies, program evaluations, and case reports from peer-reviewed literature. Despite promising outcomes, challenges such as technological barriers, cultural resistance, and scalability concerns persist. Future research should focus on integrating emerging technologies like AI and machine learning to enhance mHealth’s effectiveness while prioritizing equitable access to digital health solutions. Policymakers must also prioritize the integration of mHealth into national health systems to ensure long-term sustainability. Keywords: mHealth interventions, Malaria in pregnancy (MiP), Treatment adherence, Malaria diagnosis, Sub-Saharan Africa
Read full abstract