Projects

Nigerian Governor's Forum

Data is important for correct health policies to be passed, health interventions and other public health funds to be dispersed to the appropriate communities. The Nigerian Governors’ Forum, in its desire to track the health trends of each state across the country, worked closely with the HISP Nigeria team for the development of an effective platform for tracking and visualization of key health indicators. These indicators cover a broad range of various health aspects across Nigeria. HISP Nigeria has also trained the relevant NGF staff in data analysis and indicator monitoring.

Clinton Health Access Initiative (CHAI)

With a commitment to strengthening integrated health systems in developing countries and expanding access to care and HIV/AIDS treatment, malaria and tuberculosis, CHAI’s solution-oriented approach focuses on improving market dynamics for medicines and diagnostics; lowering treatment prices, improving access to life-saving technologies and helping build capacity required for high-quality care and treatment programs. CHAI’s assessment of malaria surveillance system revealed gaps in data quality, which make the data unreliable. In working with the Lagos State Malaria Elimination to address these gaps, CHAI Nigeria has worked with HISP Nigeria to setup a DHIS2 instance which comprises a repository and dashboard for the full range of malaria data collected by Private Service Providers (PSPs), as well as individual case data reporting, to inform the state malaria program. This instance also serves as a platform for analysis of all state relevant data from available sources across all levels of decision making including LGA, state and national levels.

World Health Organisation

The District Vaccination Data Management Tool (DVDMT) was the key tool used for immunization data collection, report and analysis by the World Health Organization. However, the DHIS2 is the health data collection and analysis tool approved and endorsed by the Nigerian government. The DHIS2 is also the central database for all health data at all levels in the country. This informed the decision of the WHO Nigeria data team to start using the DHIS2 for monitoring of key routine immunization indicators, as well as for following the immunization trends across the country. HISP Nigeria was thus mandated to develop training manuals and conduct a nationwide capacity building exercise, in which WHO staff would be made familiar with the various methods of DHIS2 data reporting and analysis cycle, with a core emphasis on routine immunization data and the accountability framework. As the WHO is an all-encompassing body, the HISP Nigeria team has also been tasked with creating a Malaria repository by using the malaria module as a foundation and adapting it to a national context. This repository has been synchronized with the national context and a dataset containing all malaria-related and supplementary data has been developed to be used for data this programme- specific data collection instance of the DHIS2.

 

JHPIEGO

Upon observing the poor data recording and reporting across some states in Nigeria and in an effort to strengthen the capacity of front-line healthcare workers on the National Health Management Information System (NHMIS), JHPIEGO proposed to work with the state ministries of health to strengthen data collection and transmission using the DHIS2 android app. HISP was contracted to configure the Community Health Management Information System data collection tool on the instance. Private Patent Medicine Vendors (PPMVs) were created and groupings were done at the ward level of the states. This was done to enable the programme to filter data during analysis and support the PPMVs within their catchment communities. HISP has also been able to successfully conduct trainings for the ward data collectors on how to effectively use the mobile app for data collection of community data. HISP has continued to offer technical support in the hosting and maintenance of the Database which is currently being used for data collection