As a result of JSI’s work in Sindh province, Pakistan, health budgets grew 137 percent as health managers learned to use data to substantiate budget requests; 80 percent of districts in Sindh learned to use data to solve health sector challenges on their own; and accuracy of health data improved.
In Ethiopia, the Universal Immunization through Improving Family Health Services project is using quality improvement methods and tools to enable health workers to use data for decision making.
Ethiopia is revolutionizing its current health management information system by adopting DHIS2—a tool with global acclaim for transforming the way health data is collected, validated, visualized, and analyzed.
Human-centered design is considered an innovative approach for exploring issues from a 360-degree point of view and placing the end user’s needs and desires in the forefront of data use improvement strategies. In this blog, JSI’s Benti Ejeta discusses how it’s being used to improve the quality of health data in Ethiopia.
Writing from the first regional conference on Measurement and Accountability for Health in Dhaka, Bangladesh, JSI’s Tariq Azim explains the importance of making health data accessible and understandable to non-health sector players.
JSI’s Tariq Azim reports from the first regional conference on Measurement and Accountability for Health in Dhaka, Bangladesh
JSI’s Paul Dowling, Rachel Kearl, Al Shiferaw of the USAID | DELIVER PROJECT describe the three pillar’s of JSI’s work in Ethiopia to improve data visibility to strengthen the country’s health supply chain.
Sierra Leone isn’t renowned for its network connectivity or technology. Only 38% of the population has a mobile phone, and only 1.6% of the population has reliable internet access. Even in resource limited sites, mobile data collection platforms have proven to be smart solutions to ensure high-quality real-time data as long as they’re tailored to local contexts.
Promoting the use of data for decision making is all the rage across development sectors, particularly in health. While advocating for increased use of strategic information has great value in itself, it’s important to assess the quality of the routine data available: what value do you get from using information that’s of poor quality?