Description
COURSE OVERVIEW
Quantification of public health commodities relies on access to good data, knowledgeable personnel, and the coordination and cooperation of key stakeholders. Without these three key components, quantification exercises often lead to inaccurate and unreliable forecasts of commodity needs, resulting in an under- or oversupply of lifesaving commodities.
Forecasting and supply planning, hence, requires specific skill sets and resources. To address this need, this workshop focuses on how the teams responsible for carrying out these exercises can use the latest practices and tools to build their capacity and manage all aspects of the activity, especially through active engagement of a decision-making group of active stakeholders.
This course focuses on established practices, new methods and tools, for forecasting and quantification exercises and how to deal with problematic and unreliable base data.
COURSE OBJECTIVES
This seeks to assist technical advisors, program managers, warehouse managers, procurement officers, and service providers in estimating the total commodity needs and costs to support successful implementation of national health, program strategies and goals, identifying the funding needs and gaps for procuring the required commodities, and planning procurements and shipment delivery schedules to ensure a sustained and effective supply of health commodities.
- It is designed to assist professionals in applying a systematic, step-by-step approach to quantifying health commodity requirements and costs.
- Identify the funding needs and gaps for procuring the required commodities.
- Coordinate procurements and shipment delivery schedules to ensure a sustained and effective supply of commodities.
- Implement a process for reviewing and updating the results of the quantification to maintain and improve the validity, accuracy, and usefulness of current and future quantifications.
LEARNING OUTCOMES
At the end of this course, students should be able to:
- List the specific data required at each step of the quantification.
- Collect and analyze the available data.
- Identify and obtain consensus on the forecasting assumptions needed to account for missing data and to estimate the effect of key programmatic and environmental factors expected to influence the demand for commodities.
- Organize forecasting data and assumptions and structure the forecasting tree for morbidity-based forecasts.
- Utilize the forecasting data and assumptions to calculate the quantity of each product expected to be dispensed or consumed during each year of the quantification.
- Identify the key supply chain parameters required to estimate the total commodity requirements and costs for the country or the program.
- Identify and obtain consensus on the supply planning assumptions needed to account for missing data and to estimate the effect of the key supply chain factors expected to influence the supply of health commodities.
- Calculate the total commodity requirements and costs for each year of the quantification.
- Plan shipment quantities and delivery schedules to ensure continuous supply for each year of the quantification.
- Compare the amounts and timing of funding commitments for procurement with the total commodity costs and required shipment delivery dates as the final step in the quantification.
- Explain the benefits of using the PipeLine software to obtain the final outputs of the quantification.
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