Get Funding: Boost Mozambique's Health Systems
Posted: August 26, 2014
This grant closed on Oct 10, 2014. We have found similar active grants for you below.
Summary
This grant supports Mozambican organizations in strengthening their health information systems to better track and manage health data. Funding will be used for mortality surveillance, patient tracking, e-Health development, and staff training to improve data quality and system interoperability.
Eligibility
Full Description
A core priority of PEPFAR is to ensure high quality, robust data are available to monitor and evaluate the national response to HIV. In Mozambique, the USG has worked closely with the Ministry of Health (MOH) and implementing partners from 2009 -2014 to strengthen health information systems in Mozambique; while progress has been made in some areas, some challenges continue: the Ministry of Health continues to have weak capacity to plan, develop, monitor, and maintain key information systems. There is inadequate human resource capacity in the public and private sector at national and subnational levels to develop and deploys health information systems. Despite expansion of some health information systems, harmonization and interoperability of these systems needs to be strengthened.
The USG is working to strengthen both GRM’s HIV-specific information systems as well as broader program specific and sector wide health information systems that monitor MCH, malaria, nutrition, TB, mortality, and other key indicators of health. The USG aligns its support in Strategic Information to several key national SI Plans including the MOH Department of Health Information (DIS)’s five-year HIS strategy (2014-2019). The objective of this FOA is to strengthen local capacity and country ownership in health information systems. The primary activities include support for mortality surveillance, standardized tracking systems for monitoring patients in HIV care and treatment, assist to define e-Health architecture, training of Mozambican staff in informatics, application of data quality standards and best practices, and expansion of central Information Systems (HIS) into provincial and regional facilities.