In early 2026, officials in Shahdol, a tribal-majority district in Madhya Pradesh known for dense forests and monsoon-cut roads, found that health workers were reaching only eight of every ten pregnant women on their call lists. The two women missed were often in the most remote pockets, skipping iron and calcium tablets, missing check-ups, and unaware that symptoms like headaches or swollen feet could signal pregnancy-induced hypertension. IAS officer Shivam Prajapati, CEO of the Zila Panchayat, and his team spent nearly two months speaking with villagers and discovered the problem was not medicine supply or staff numbers, but a lack of timely follow-up and counselling.

Launched in January 2026, the district introduced a doorstep monitoring system called "Maa Ka Haal – Swasthya Ka Khayal." It began with a village-by-village survey to identify every high-risk pregnant woman. Updated lists were sent every 15 days to Auxiliary Nurse Midwives (ANMs), Community Health Officers, and Medical Officers. Each woman received at least one home visit and two phone calls per month, with monitoring continuing for 42 days after delivery, the period when postnatal complications often go unnoticed. Women with haemoglobin between 7 and 8.5 g/dL were referred for further blood tests.

The system deliberately avoided high-tech tools. "We have not used AI because we wanted to keep the system simple. Our lowest-level staff should be able to understand and implement it easily," Prajapati said. Accountability was built in through random calls to beneficiaries to confirm that visits and calls had actually occurred. Phone monitoring coverage rose from around 80% of beneficiaries to almost 99% as participation improved.

Officials also shifted from reacting to emergencies to planning for deliveries. Lists of women expected to deliver within the coming week were shared with local administration, ANMs, ASHA workers, and sub-divisional magistrates, and ambulances were arranged in advance for villages where heavy rains could cut off roads for days.

Between January and June 2026, the district identified 5,380 high-risk pregnant women, all of whom were monitored through phone follow-ups. Among them, 4,646 had moderate anaemia, 174 had severe anaemia, and 560 had pregnancy-induced hypertension. A total of 3,696 high-risk pregnancies were successfully managed through timely intervention.

Maternal deaths fell from 14 in the first half of 2025 to 7 in the first half of 2026, a 50% decline. Infant deaths dropped from 323 to 211, a 34.7% reduction. Admissions to Nutrition Rehabilitation Centres increased from 686 to 1,027 children, and the successful discharge rate improved from 87% to 90%, indicating better recovery outcomes.

Prajapati emphasized that the lesson was about sustained attention rather than technology. "If the mother remains healthy, the child also remains healthy," he said, adding that the district intends to continue this intensity of monitoring year-round rather than as a time-limited campaign. In a region where reaching a hospital during monsoon can take hours, the difference between a missed call and an answered one has proven more consequential than any new scheme.

Sources and further reading

In One of MP's Most Remote Districts, an IAS Officer's Simple System Helped Cut Maternal Deaths by 50%

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