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Sistema de Apoyo a la Decisión Basado en Chat para el Viaje de Salud Materna en Assam, India: Protocolo para un
Ashita Munjral1, Swapnil Rawat2, Charlotte E Warren3
1Maternal Health, Population Council Consultancy, New Delhi, Delhi, India.
JMIR research protocols
|February 13, 2026
Resumen
El chatbot e-SAATHI mejora la salud materna (SM) al proporcionar apoyo personalizado, aumentando la captación de servicios de atención prenatal (APN) y posnatal (APN) en Assam, India. Esta herramienta digital mejora los comportamientos de búsqueda de salud y los resultados en regiones desatendidas.
Área de la Ciencia:
- Intervenciones de Salud Digital; Salud Materna; Salud Pública
Sus antecedentes:
- Assam, India, enfrenta la tasa de mortalidad materna más alta del país, principalmente debido al acceso y la calidad limitados de la atención de salud materna (SM).
- Los servicios inadecuados de atención prenatal (APN) y posnatal (APN) se ven exacerbados por barreras socioeconómicas y una infraestructura de atención médica débil.
- Las herramientas digitales, como la mensajería móvil y los chatbots, han demostrado éxito en la mejora de la atención materna en entornos similares.
Objetivo del estudio:
- Evaluar la aceptabilidad, viabilidad y eficacia del chatbot e-SAATHI para mejorar el acceso a la información de salud materna (SM) y la captación de servicios.
- Aumentar la utilización de la atención prenatal (APN)/posnatal (APN), promover la atención respetuosa y recopilar información para escalar soluciones de salud digital.
- Mejorar las puntuaciones de calidad de la atención materna y neonatal y los indicadores de captación de servicios.
Principales métodos:
- Un enfoque por fases que involucra codiseño, pruebas piloto e inscripción a gran escala de mujeres embarazadas y posparto.
- Implementación de un chatbot que brinda información personalizada y específica de la etapa sobre SM semanalmente desde el embarazo temprano hasta el posparto.
- Capacitación de proveedores de atención médica para la incorporación y retroalimentación, junto con la recopilación de datos a través de entrevistas, encuestas, evaluaciones de instalaciones y análisis de chatbot.
Principales resultados:
- A agosto de 2025, se han incorporado 210 centros y se han inscrito 201.813 mujeres, con recopilación de datos en curso.
- El estudio comparará datos cuantitativos pre y post intervención sobre la captación de servicios y datos cualitativos sobre las experiencias de los usuarios.
- Resultado principal: cambio en la puntuación compuesta de calidad de la atención materna y neonatal; resultados secundarios: captación de servicios, conocimientos, autocuidado y satisfacción.
Conclusiones:
- El chatbot e-SAATHI presenta una estrategia digital escalable para mejorar la salud materna en entornos sociodemográficos y lingüísticos diversos.
- El apoyo personalizado y oportuno a través del chatbot puede mejorar los comportamientos de búsqueda de salud y los resultados en Assam y a nivel mundial.
- El proyecto proporciona información valiosa para optimizar las estrategias de salud digital en regiones de bajos recursos.
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