With the rising cost of vaccines and the greater storage capacity now required at every level of the cold chain, countries must maintain lower stock levels, reduce wastage, accurately forecast vaccine requirements, and prevent equipment break-downs.
This requires a consistently high standard of supply chain management, which can only be achieved if all the links in the supply chain comply with current standards for storage and distribution.
The EVM initiative provides materials and tools needed to monitor and assess vaccine supply chains and help countries to improve their supply chain performance.
WHO-UNICEF have designed the Global Effective Vaccine Management (EVM) initiative to help countries to improve the quality of their vaccine and cold chain management from the time the vaccine arrives in their country down to the service delivery point.
It is based on nine basic indicators listed below:
- Vaccine arrival procedures
- Vaccine storage temperatures
- Cold storage capacity
- Buildings, cold chain equipment and transport
- Maintenance of cold chain equipment and transport
- Stock management
- Effective vaccine delivery
- Vaccine Management practices
- SOPs and Supportive Management Systems
It consists of a series of focused questions, which are numerically scored based on the observed practices and records of the past 12 months, against recommended standards.
The questions under the 9 indicators can be divided into 7 management implementation categories: Building, Storage Capacity, Equipment, Management issues, Repair and Maintenance, Training and Vehicles.
UNICEF has been supporting EVM assessments in many states, covering state, regional, district vaccine stores and health facilities.
Based on facts collected from the field and recommendations developed by assessment team members, improvements plans are prepared, to address gaps in the system.
<p>The EVM system enables data collection using android devices using the WHO-UNICEF designed Global Effective Vaccine Management (EVM) tool. Data is pushed to a central repository and passed through an aggregation engine to generate key statistics.
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<p>The key indicators are displayed on a dashboard that presents the geo referenced health facilities which are color coded based on their performance. The dashboard was developed using a combination of technologies like Angular.js as the web MVC framework, Bootstrap and Jquery for the user interface developments, Java Spring framework for the service layer and google’s oauth authentication and D3 for the charts components. A customized DI7 web adaptation was used to enable custom query, analysis, and visualization.
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<h5>Database Setup :
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<p>EVM uses two sets of MSSQL based databases, evm_devinfo for the DevInfo 7 based customised adaptation and evm_web for the dashboard components.
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<p>Step1: MSSQL Server should be installed before moving to the next steps.</p>
<p>Step2: Create two empty databases evm_devinfo and evm_web.</p>
<p>Step3: Update the properties hibernate.hbm2ddl.auto from none to update in the app.properties file (resources/spring folder), this will ensure that the required tables are created by Spring Data JPA in the corresponding databases when the application executes.</p>
<p>Step4: Update the jdbc.url, jdbc.username, jdbc.password, jdbc.devinfo.url, jdbc.devinfo.username jdbc.devinfo.password properties for evm_web and evm_devinfo databases respectively, in the app.properties file (resources/spring folder), based on the development machine properties.</p>
<h5>ODK Aggregate Server Setup :</h5>
<p>The ODK server can be setup by following the link mentioned below.<br> https://opendatakit.org/use/aggregate/</p>
<p>Once the aggregate server is ready, update the odk.aggregate.server, odk.aggregate.username, odk.aggregate.password in the app.properties file.</p>
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