Collect Health and Nutrition Data
Access to real-time information can help governments, communities, donors, and implementing partners identify critical issues in health service delivery, strengthen health systems, refine social and behavior change (SBC) messaging, and respond to global health security threats. Granular data collected via mobile phone can be utilized for emergency assessments, one-time analyses of specific areas or populations, and ongoing monitoring. Remote mobile surveys are particularly effective for gaining honest answers to sensitive questions, which makes them highly effective for surveys related to sensitive health issues.
Health & Nutrition Research Use Cases
Assess Service Delivery
Collect information at the household, community, or facility level about health service delivery and perceptions around quality of care
Track Health Seeking Behavior
Survey population groups about their knowledge and practices on topics like family planning, infectious diseases, and gender-based violence
Reach Healthcare Workers
Survey healthcare workers about their work conditions, send informational SMS messages, and conduct refresher quizzes
Evaluate Outreach Plans
Conduct pre-campaign testing and post-campaign evaluation among your target population of interest to view changes
Track Health Product Usage
Ensure that medical supplies have reached their intended destinations and track usage of specific commodities
GeoPoll Advantages
How GeoPoll’s mobile-based methodologies can help you gather vital data across the globe.
Extensive Call Center Network
GeoPoll manages thousands of interviewers in call centers in over 60 countries in Africa, Asia, and Latin America.
Existing Database of Respondents
GeoPoll can target our respondents by demographics, use Random Digit Dialing, or client-provided sample.
Multi-Modal Data Collection
Seamlessly conduct research via CATI voice calls, 2-way SMS messages, web links, and other mobile-based modes.
Full Service Research Team
Our experienced team manages everything from questionnaire design to interviewer training and data analysis.