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#GVtech4change: SnapVaxx to improve coverage and follow-up of immunization

admin 7 April 2021

Background: In India, details related to immunization tend to be recorded manually on multiple paper-based registers. Their paper-based nature makes processes to compile and digitize the data extremely inefficient. Not having timely and accurate data makes it difficult for health planners to take steps to improve coverage and follow-up of immunization.

The solution: SnapVaxx is a Gram Vaani solution that frontline workers can use to scan immunization records that families have for their children, using smartphone cameras.

The expected result: Improved data accuracy, timeliness and completeness. The data will further be used for efficient supply chain monitoring, beneficiary engagement and communication.


Immunization of children in India is a task that involves a range of frontline workers, including the Accredited Social Health Activist (ASHAs), Auxiliary Nurses and Midwives (ANMs) and Anganwadi Workers (AWWs), who raise awareness around immunization, keep track of pregnancies and childbirths (and therefore children in need of vaccination), mobilise parents to get their children vaccinated and finally administer vaccines themselves.

Despite the efforts of these workers and programmes by governments to boost immunization of children, there are several issues that make this difficult.

First, many families in rural India, especially those living close to or below the poverty line, migrate seasonally out of their villages to towns and cities across India to make ends meet. In this process, tracking immunization becomes difficult. Additionally, documents that parents hold which record their child’s immunization history get lost or damaged, making tracking and follow-up even tougher.

Second, there are several registers holding information on children in the village that are in need of vaccination, maintained by frontline workers. But these records are mostly handwritten and aren’t easy to verify. The ASHA worker, who is in charge of vaccinations, might sometimes not have the full list of children in the villages she’s responsible for, and tracking this information is a time-consuming process. Not having this information means government health departments aren’t able to estimate the adequate number of vaccines required for the villages.

Third, the number of children who need vaccinations/have received them recently does not go to block-level health planners in real time – often, by the time this data, compiled by the frontline workers, is digitized at the nearest primary health centre, considerable time has passed. This data, useful to know whether all children have received their appropriate vaccinations, and the status of the village’s immunization history, the supply of vaccines, any urgent steps required, etc., is of little actionable use by this time.

The lack of verifiable and accurate data that is also available real-time takes the country farther from immunization equity, as it becomes difficult to track and cover gaps in immunization of children based on their economic, caste, class, regional or religious status – which could hamper governments’ efforts to design and implement special programmes to ensure immunization reaches every child across the country.

Gram Vaani and Professor Mira Johri from the University of Montreal Hospital Research Centre (CRCHUM) have collaborated to attempt to remedy these issues on immunization-related data through digitization, relying on the Mother and Child Protection (MCP) cards that are already in use. This MCP card is given to the family of every newborn child and includes a page that requires the ASHA worker to list in writing every vaccination given to the child and the date it was administered.

The intervention starts with adding a QR code to the MCP card, which will help give each child a ‘unique’ identifier with the child’s date of birth, enabling the child’s age (and therefore which vaccinations are to be administered when) to be easily tagged. Gram Vaani has developed in house SnapVaxx, the technology to scan the immunization records in the MCP cards. Health workers will be trained to scan the MCP card using our app, Tika Vaani. Scanning the QR code will ‘identify’ the child, and scanning the immunization page will identify which vaccines have been administered to the child, and when. This information will be directly accessible on a dashboard by block and district level health officials on a real-time basis, as opposed to waiting for several months.

A field worker tests the solution

What does it mean to have this data processed quickly? The data is accurate, as it doesn’t rely on someone in the primary health centre, far removed from the on-ground immunization process, inputting the records into the system. The data is complete – if the parent has the MCP card, no matter where the child is immunized, the history of the child’s immunization journey is tracked. This becomes vital in situations where families migrate often for their livelihood. As such, tedious registers that had to be maintained by the frontline community workers – which could have inaccuracies of different kinds, for various reasons – are now replaced by digital records.

The digitization process is useful for parents as well. The data collected using Tika Vaani helps Gram Vaani systems send automated reminders to families on their mobile phones close to the dates when the next round of immunization is happening in their villages. These customized messages – targeting only families with children who are due to get vaccines that month – will also ensure that parents do not just treat it as any other regular message but pay attention to it.

SnapVaxx is a grantee under the Biotechnology Industry Research Assistance Council (BIRAC), set up by Department of Biotechnology (DBT), Government of India, as a part of the Grand Challenges India program titled ‘Immunization Data: Innovating for Action (IDIA)’, to focus on encouraging innovation in the collection and management of immunization data in India. It is also a winner of the Bill & Melinda Gates Foundation’s Grand Challenges Explorations Round 22 for undertaking a validation study of the optical scanning data outputs. In addition to this, the solution is one of the eight recipients of support from UNICEF’s Innovation Fund. Support from these organisations is helping us bring in international expertise in the technology, in pilots, scaling up, and evaluation. For more information, visit tikavaani.org.