contact us

Use the form on the right to contact us.

You can edit the text in this area, and change where the contact form on the right submits to, by entering edit mode using the modes on the bottom right.


123 Street Avenue, City Town, 99999

(123) 555-6789


You can set your address, phone number, email and site description in the settings tab.
Link to read me page with more information.


Future Health Systems is a research consortium working to improve access, affordability and quality of health services for the poor. We are a partnership of leading research institutes from across the globe working in a variety of contexts: in low-income countries (Bangladesh, Uganda), middle-income countries (China, India) and fragile states (Afghanistan) to build resilient health systems for the future. After a successful first five-year phase from 2006-2011 (see our success stories), we are entering a new six-year phase of research, funded mainly by UK aid.

Download four-page brochure (1.05 MB) >
Read more about us >

Capacity Building Workshop on multilevel modelling held at MakSPH

Future Health Systems

One of the aims of Future Health Systems (FHS) research programme consortium is to build capacity among institutions in the south. FHS has been building capacity among its research partners through various means. These include promoting collaboration in the writing of project proposals, executing the studies and writing research publications as well as holding methodology workshops.

Several workshops have been held since the project started. From the 14th to the 17th of April, a workshop on multilevel modelling was held at the Makerere University School of Public Health. It brought together young researchers from three departments in the school of public health.   It was facilitated by Dr Hafiz Rahman from the Johns Hopkins School of Public Health.

The objectives of the workshop were to provide an overview of using STATA for data analysis, review the main concepts of regression analysis, and to introduce participants to multilevel modelling.  By the end of the workshop each of the participants had developed a research question that they analysed from secondary data using statistical software. The participants reported that they had found the hands on methodology of the workshop very helpful and they wished that they would have more workshops of a similar nature. They were grateful to the partners and DFID for the support that they provided towards facilitating the workshop.