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Data Streams, Stories Flow: Navigating the Impact of Data on Maternal Healthcare in Rural India

Published on April 14, 2025 |


Post ImageData Streams, Stories Flow: Navigating the Impact of Data on Maternal Healthcare in Rural India

Data are just summaries of thousands of stories—tell a few of those stories to help make the data meaningful.” Chip and Dan Heath, authors of Made to Stick and Switch.

Devki and her baby Blog Social Media Poster- Nari Se Nari Tak

“Sister has been waiting at the Anganwadi,” Didi called through the open doorway. Didi, an ASHA worker and community health activist from village Pipari in Madhya Pradesh, encourages women to attend the monthly Village Health Sanitation and Nutrition Day (VHSND) at the local Anganwadi center. She told Devki, a second-time expecting mother, “If you miss this, you won’t get another check-up until your second trimester.” Reluctant but eager for a free health check-up, Devki follows, tugging her three-year-old along.


Mamta, the Auxiliary Nurse Midwife (ANM), examined Devki’s documents inside the Anganwadi. The ANM, responsible for maternal and child health in the area, recorded her weight, obstetric history, and blood pressure. This initial assessment, conducted by the AAA workers (ASHA, Anganwadi worker, and ANM), was the first step in Devki’s journey into the formal healthcare system.

Auxiliary Nurse Midwife

Prospective and Current Mothers registering for MCHN services

Unbeknownst to Devki, this simple act marked her entry as one of the 19.6 million rural women registering for antenatal care in India annually. [1][2] Every service she received would be digitally recorded, creating a real-time picture of her pregnancy.

From Data to Action

The AAA Meeting at the Anganwadi Center

Following the VHSND, registers filled with data points like hemoglobin levels and nutritional intake were ready for processing. Seated on a dari (mat) with the ASHA and Anganwadi worker, the ANM discussed Devki’s case. She noted Devki’s frail appearance and history of missed appointments. The ASHA shared Devki’s challenges in attending the monthly sessions, and the Anganwadi worker reported her weight to be low: 39.5 kg.

The AAA workers marked Devki’s house on the village map with a red bindi, signifying a high-risk pregnancy. They created a custom four-week plan for monitoring her health, planning for personalized guidance, and regular check-ups. This plan was recorded in the minutes of the meeting (MoM).

As the next step, Devki’s data was uploaded onto digital platforms like ANMOL, POSHAN Tracker, and U-WIN, and her profile was flagged for potential high-risk conditions, including low weight and severe anemia. This flag made her case visible at the state level. This high-risk flag triggered a series of actions, including:

Triggering Series of Action in Administration (Flowchart/Infographic showing data flow and resulting interventions)

Dashboards displaying real-time data ensured that women like Devki, once registered, were never overlooked for essential services and could be tracked for treatment.

How Devki’s Story Shaped My Perspective

When I started working in Betul, a tribal district in Madhya Pradesh, in 2022, I focused on efficiency, dashboards, and targets. Numbers seemed like the ultimate measure of success. But working alongside frontline workers showed me that data was not just statistics; it was the difference between a mother receiving life-saving care or being overlooked.

In cases like Devki’s, accurate records flagged high-risk pregnancies, triggering timely interventions. But errors, missed updates, or incorrect entries often meant critical services never reached those in need, sometimes with tragic consequences. For me, this was a paradigm-shifting realization.

Profiles like Devki’s being uploaded in Healthcare portals, becoming crucial data points that shape national maternal healthcare policies.

Lesson #1: Numbers carry stories that demand action. If they are not correctly reported, the actionable story never reaches the people who need it most. My experience reaffirmed that the dashboard and data do reflect critical human needs. And it must be correctly populated because that’s the only way a person not visiting the field can identify the ‘Needs’.

Lesson #2: Frontline capacity requires understanding the ‘why’ of data. Strengthening their understanding of why accurate data matters transforms reporting from a routine task into a responsibility that safeguards lives. Equipping them with the perspective that accurate data entry is not just an administrative task but a lifeline for mothers and children.

Even today, close to 1.27 million pregnant women in rural India are missed out from these data systems because they do not get registered for antenatal care services. This is a compelling call to action.

I aim to bridge this access gap. To build systems that not only collect comprehensive information about each beneficiary but also ensure that data translates into meaningful action. To contribute to a future where every Devki has the opportunity to thrive with the support of a well-equipped, responsive system that factors her needs into consideration.

That is not just a hope—it is a goal I work toward with The Antara Foundation every single day.

Connecting hearts and health: Anviti in her element in the field.

Anviti has been working with The Antara Foundation for the past three years, focusing on public health and systems strengthening. With a background in social work and a master’s in public policy, her work reflects a strong interest in institutional effectiveness, impact assessment, and social equity.

Sources:
[1] The estimated rural population of India is 902,657,000 (As per the Health Dynamics of India Report 2022-23). The crude birth rate for rural India is 21.1 per thousand population [SRS 2022], which means 19,046,063 live births in a year and 20,950,669 pregnant women per year

[2] As per NFHS-5, 93.7% of pregnant women in Rural India register for Antenatal Care Services

[3] The SAMAGRA ID is issued to the residents of the Madhya Pradesh state to register themselves and avail of the benefits of government welfare schemes

[4] Aadhaar is a twelve-digit unique identity number that can be obtained voluntarily by all residents of India based on their biometrics and demographic data.

[5] As per NFHS-5, 6.9% of women miss out on ANC checkups in rural India.

[6] – Chip Heath and Dan Heath, authors of Made to Stick and Switch.




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