IIT‑Madras Study Shows Tamil Nadu’s EMS & Maternal Care Gains Post‑COVID‑19

<p>Researchers from <span class="key-term" data-definition="Indian Institute of Technology‑Madras — a premier technical university in India, known for research and policy support (GS3: Education)">IIT‑Madras</span> analysed data from Tamil Nadu’s <span class="key-term" data-definition="108 emergency response system — a state‑run ambulance service that provides free emergency transport across India (GS3: Health)">108 emergency response system</span> covering 2017‑2024. The study, appearing in <span class="key-term" data-definition="BMC Pregnancy and Childbirth — a peer‑reviewed journal focusing on maternal and newborn health (GS3: Health)">BMC Pregnancy and Childbirth</span>, shows that after the <span class="key-term" data-definition="COVID‑19 pandemic — a global health crisis that began in 2020, affecting public health and economies (GS3: Health)">COVID‑19</span> shock, Tamil Nadu’s <span class="key-term" data-definition="Emergency Medical Services (EMS) — organized services that provide urgent medical care and transport (GS3: Health)">EMS</span> and maternal health outcomes improved markedly.</p> <h3>Key Developments</h3> <ul> <li>Maternal mortality fell by <strong>19 %</strong> in 2023‑24, reaching <strong>37 deaths per 100,000 live births</strong>, well below the national average.</li> <li>Neonatal mortality dropped by <strong>17 %</strong> and infant mortality by <strong>19 %</strong>.</li> <li>Miscarriage reports declined by <strong>28 %</strong>, while home deliveries fell by <strong>36 %</strong>.</li> <li>Despite a surge in pregnancy‑related emergency calls during the pandemic, ambulance response time, transfer time and hospital hand‑off time improved after the first wave and stayed efficient through 2023‑24.</li> <li>State‑level investments in ambulance fleets, referral networks and maternal‑care programmes were sustained throughout the post‑COVID period.</li> </ul> <h3>Important Facts</h3> <p>The analysis covered the period <strong>2017‑2024</strong>. The lead author, <strong>Prof. P. Kandaswamy</strong>, a retired <span class="key-term" data-definition="IPS Officer — an officer of the Indian Police Service, responsible for law enforcement and public order (GS2: Polity)">IPS</span> officer, now teaches at IIT‑Madras. The study links better <span class="key-term" data-definition="EMS performance — metrics such as response time, transfer time and hand‑off time that indicate the efficiency of emergency medical services (GS3: Health)">EMS performance</span> with lower maternal and neonatal deaths, though causality is not proven.</p> <h3>UPS C Relevance</h3> <p>Health is a core topic in <strong>GS 3</strong>. The findings illustrate how data‑driven governance, state‑level health infrastructure, and targeted investments can improve key indicators like <span class="key-term" data-definition="Maternal Mortality Ratio (MMR) — number of maternal deaths per 100,000 live births, a vital health‑system performance metric (GS3: Health)">MMR</span>. Aspirants should note the role of public‑private partnerships (e.g., Moody’s Analytics collaboration) and the importance of resilient health systems during crises, a recurring theme in recent UPSC questions on pandemic response.</p> <h3>Way Forward</h3> <ul> <li>Scale up real‑time monitoring of EMS metrics across all states to replicate Tamil Nadu’s model.</li> <li>Strengthen referral linkages between primary health centres and tertiary hospitals to reduce transfer delays.</li> <li>Continue financial support for ambulance fleets and training of emergency personnel.</li> <li>Integrate maternal‑health data with broader health‑information systems for early warning of spikes.</li> <li>Encourage research collaborations between academic institutions and government agencies to inform policy.</li> </ul>