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BAO Systems and the University of Oslo are excited to welcome you to the 4th annual DHIS 2 Symposium! 

2018 Symposium Themes: 

The global digital health space is moving at a rapid pace, making exponential gains within the last few years.  It’s hard to imagine that after only 10 years of development, DHIS 2 is being implemented in 87 countries and Indian states, with 53 operating at national scale.  This kinetic global expansion of DHIS 2 has led to exciting collaborations and partnerships that are working to improve LMIC health systems.  

And yet we know that there is still work to be done to improve these systems.  

In our 4th DHIS 2 Symposium, we’ll look closely at how international partnerships between NGOs and governments are supporting national systems strengthening through technical support that ultimately improves the use of DHIS 2 and how this work is bringing us closer to harmonized data.

But beyond national systems, there is still exciting innovation happening all around us.  We’ll spend time looking at Android mobile applications and hear from the UiO about efforts to overhaul and re-develop the applications.  Biometrics are making concrete gains in development work and we’ll hear how they can be incorporated into DHIS 2.

Other topics to be explored include:  

  • What work is being done around using DHIS 2 for the Sustainable Development Goals and how can we move that work forward?

  • How is data used in concrete ways to drive decision-making, course-correction and drive impact of your programs?

  • How is integration with other systems like LMIS and EMRs improving national systems?

Back To Schedule
Thursday, March 22 • 1:00pm - 1:45pm
The Importance of DHIS 2 for Planning and Costing Health Care Services for Universal Health Coverage

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Achieving universal health coverage requires mobilizing and allocating sufficient financial resources. This can only be done properly if the cost of providing health services is known. Management Sciences for Health (MSH) has assisted governments and NGOs in many countries in modeling the costs of health services. Accurate costing improves advocacy for and supports better planning and allocation of, funds to ensure that providers, medicines, supplies, and other resources are made available as needed. Modeling the costs of health services in hospitals, health centers, and communities rely heavily on accurate information on the numbers and types of services provided, including diagnoses for illnesses. For large-scale (national or provincial) modeling, the only effective way of obtaining information on services is through a national health information system. While experiences have generally been positive, matching health information system data with the actual services to be costed can be challenging, and data are often incomplete and/or inaccurate. 
In 2017, MSH assisted the Uganda Ministry of Health (MOH) in conducting a costing study of government and private health facilities, in order to estimate the cost of providing services and the financial resources needed to establish a national health insurance program. The main source of service data was the MOH’s national Health Management Information System (HMIS), which is built on DHIS 2 and has data for most of the public and private health facilities in the country. These critical data for cost modeling were matched with data on staffing and costs collected from a sample of facilities. By comparing the numbers of services provided by diagnosis with the estimated prevalence and incidence rates, the team was able to ascertain both the utilization levels and the gaps between utilization and need for services. The team was also able to show the additional financial resources required to provide better quality of care and to scale up the numbers of services to match the need. Since the costs in the models are driven by the numbers of services, the team was able to ascertain the cost of improving quality of care and of scaling up utilization.  
Uganda’s HMIS is generally well designed, and it provided much of the information needed for the costing, but the team faced a number of challenges. Some facilities that did not provide data could not be included in the sample of facilities costed, and also were not included in the national totals of services. For example, all facilities in Uganda treat malaria; however, if some facilities do not report their malaria treatment data, then the total number of malaria treatments provided in the country cannot be costed or compared with the need. Some facilities only provided data for some of the months of the year, and there did not seem to be an effective follow-up system to ensure that data gaps were filled. Some facilities submitted figures that were obviously incorrect, but there seemed to be no effective validation system in place. Finally, comparisons with the package of services showed that the HMIS does not provide all the information needed for costing.     

The HMIS provided vital information for the costing, and for determining which services should be scaled up. However, improvements need to made, both in the selection of indicators and in the completeness and validation of data so that the system may reach its full potential. 

avatar for Yohana Dukhan

Yohana Dukhan

Senior Health Economist, Management Sciences for Health
Yohana Dukhan is a Senior Health Economist with Management Sciences for Health. She provides technical leadership and technical assistance for MSH’s projects in the areas of health financing and governance, domestic resource mobilization, public financial management, costing, supply... Read More →

Thursday March 22, 2018 1:00pm - 1:45pm PDT
Balcony E Room
  Breakout Session
  • Company MSH

Attendees (6)