Data Dictionary for second-line TB drugs forecasting

With support from the Eli Lilly and Company Foundation, we developed a generic data dictionary as part of the E&M (online and mobile) Health project. The generic data dictionary describes the essential data needed for second line drugs forecasting. This is important because of the often limited supply, short shelf-lives and high sales prices for these drugs needed to treat MDR-TB. Harmonization of data dictionaries for treatment of MDR-TB patients across countries allows for better prediction of the second line drugs needed, enabling countries and pharmaceutical companies to improve their planning.

The dictionary is currently used in Kenya, Nepal and Tajikistan. It is a guide for IT developers in building drug management components into their electronic patient information systems. The data dictionary is freely available on the E&M Health web forum that is hosted and facilitated by KNCV and MSH. The project core team exists of staff from KNCV, MSH, IRD, PiH, Abt Associates WHO and PATH.

KNCV has been fighting TB since its establishment in 1903. Over the past 117 years, the organization has acquired indispensable knowledge and experience in the field of effective TB control, resulting in pre-elimination in the Netherlands and significant contributions to global evidence generation, policy development and TB program implementation worldwide.

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Tuberculosis is still one of the major causes of preventable death in the world and claims over 4000 lives a day, leading to over 1,5 million deaths a year.

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