When quantifying for pharmaceutical and health commodity orders, especially to scale up coverage.
- Sub-categories HIV/AIDS, Malaria, Reproductive health, TB
- Commodities Diagnostics, Medicines, Reproductive health products, Supplements
- Latest update 2015
- Developed by MSH
- When to use When quantifying for pharmaceutical and health commodity orders, especially to scale up coverage.
- Languages English
- Level of use Central, District, Regional
- Form MS Access-based software, 4.5 MB
- Amount of training / TA required Generally speaking, a total of five days is useful, but not required. This includes time for data conversion, training, and go-live support. It is also suggested that an extra five (5) day workshop on quantification principles and practices be held prior to the installation of Quantimed to facilitate its use.
- Inputs & outputs Inputs: Different data is required for the different methods used in Quantimed. Consumption data for all of the medicines and supplies that quantification figures are required if using the consumption or proxy consumption method. Population figures or numbers on treatments groups, as well as, standard treatment guidelines are required in order to use the morbidity-based quantification. Assumptions for scaling up coverage over the period covered by the quantification. Outputs: Quantification figures for the requested medicines and supplies. Procurement and scaling-up figures can also be calculated for each of the medicines and supplies. Allows comparison of results using different quantification approaches.
- Cost The software is free of charge. However, if training is desired, those costs will need to be discussed with MSH.
- Advantages Removes the often tedious and mistake-prone calculations associated with quantification, relegating it to the computer. Allows the user to manipulate variables (i.e. time, population, scaling-up rates) to adjust quantification figures without having to recalculate.
- Limitations Requires good consumption or morbidity data to produce accurate quantification.
- Availability Source code will be posted on GitHub by the end of 2017.
- Contact email@example.com
- Submission date 2014-06-16 11:30:19