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QuanTB

QuanTB is an electronic forecasting, quantification, and early warning tool designed to improve procurement processes, ordering, and planning for TB treatment. QuanTB serves as an early warning mechanism, providing information on actual versus planned consumption, potential expiries, and stock-outs of medicines.

Procurement, Quantification

  • Sub-categories TB
  • Commodities
  • Latest update 2014
  • Version 2.0.0
  • Developed by Systems for Improved Access to Pharmaceuticals and Services (SIAPS)
  • When to use QuanTB is an electronic forecasting, quantification, and early warning tool designed to improve procurement processes, ordering, and planning for TB treatment. QuanTB serves as an early warning mechanism, providing information on actual versus planned consumption, potential expiries, and stock-outs of medicines.
  • Languages Chinese, English, French, Portuguese, Russian, Spanish
  • Level of use Central
  • Form Software and PDF documents
  • Amount of training / TA required
  • Inputs & outputs
  • Cost Free
  • Advantages Accurate quantification projections: combines morbidity and consumption methods of quantification; adaptable and customizable: users can modify indicators such as medicines and treatment regimens, buffer stock, and minimum and maximum months of stock so that quantification reflects local procurement, distribution, and funding; early warning mechanism: alerts to risk of expiring medicines, stock out, and overstock; when used regularly, allows staff sufficient time to head off supply problems; build models for different scenarios: compares planned versus actual consumption rates and costs; full cost of order: incorporates cost of medicine, insurance, and customs clearance, among other expenses.
  • Limitations
  • Availability http://siapsprogram.org/tools-and-guidance/quantb/
  • Remarks Flyer: http://siapsprogram.org/wp-c...loads/2013/10/QuanTBflyer.pdf Software: http://siapsprogram.org/quantb/
  • Downloadable files TechBrief-Tools-QuanTB-10-14-162.pdf
    TechBrief-Tools-QuanTB-10-14-162.pdf
  • Contact Gustavo Bastos (gbastos@msh.org)
  • Submission date 2014-12-11 02:00:00