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CBMP Team

Project over view

The Capacity Building and Mentorship Program (CBMP), which was launched in June 2018, has an end goal of improving data quality and information use through strengthening health workforce capacity and motivation to collect, analyze, and use information at the frontline and program levels.

Capacity Building and Mentorship Project (CBMP) is supporting the Federal Ministry of Health (FMOH) HIS initiative of creating Model health facilities and sub-cities through cultural changes on health information systems, digitalization and scale-up of information systems. Key CBMP approaches include working within existing country priorities and promoting inter-sectorial coordination to mobilize, coordinate, and utilize resources; building capacity in health workforce; capitalizing on assets already in place; adapting approaches for the HIS context based on evidence; working with stakeholders to tailor HIS realities; addressing the determinants of data quality and information use; promoting accessibility of healthcare data; and contributing to the evidence base through research and documentation. Underlying all CBMP activities is an emphasis on working with country stakeholders at the national, regional, and sub-city levels for a country-led managed and implemented response.

Project target area

The CBMP project has been implemented   in three sub cities in Addis Ababa City Administration for the first phase. All primary health care unit, general hospital, referral and specialized under selected Sub-cities are included. Accordingly, about 31 health facilities benefiting from the project.  The remaining seven   Sub-cities and their health facilities will be included in the second phase of CBMP project.

Project objective

Major Objective: The project aimed to strengthen health information system through capacity building and mentorship at administrative and service deliver units.

Specific objective

  • To improve the quality and transformation of health information at the lower levels in the health system
  • To improve the culture of using health information for decisions at the lower levels in the health system
  • To improve the capacity of health workers and health managers to use health information for evidence-based decision making
  • To expedite the digitization process by creating awareness and building capacity of health workforce on HIS implementation and management
  • Transforming HIS at the University Hospital
  • Capacity Building for RHB and Sub city HDs on data analytics and evidence generation.
  • To enhance access and visibility of HI for patients and the wider public.

Expected outcomes

  • Transforming HIS at the University Hospital
  • Capacity Building for RHB and Sub city HDs on data analytics and evidence generation.
  • To enhance access and visibility of HI for patients and the wider public.
  • Improved Structure and Implementation of HIS
  • Improved data quality
  • Improved information use culture by health institutions, zonal and woredas level:
  • Improved capacity of health workers on HIS
  • Increased number of model and connected facilities & Woredas

Implementation strategy

The project team designed a model with tailored intervention to address identified gaps.  Capacity building of health professional and continuous all rounded mentorship is an effective approach to improve data quality and information use practice. School of public health in Addis Ababa University develop a model for capacity building, mentorship, performance mentoring and health information knowledge management activities in order to realize the information revolution agenda through creating model health facilities and sub-city.   The model has been implemented in all public hospitals and health centers in three sub-cities of Addis Ababa City administration. Hence, this model is expected to enhance knowledge, practice, integrating, harmonizing existing practice of health information system and efficiency of HIS workforces to generate, analyze and interpret routine data. These also help to strengthen the structure of HIS, data quality, analytical capacity, digitalization of health information systems and improvements in the use of health information for planning and decision making at health administrative unit and service levels.