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Their question: “Demographic transition and healthcare intervention, with reference to geriatric health in India (10m)”
The topper's geriatric-health answer (Census 2011 11% elderly, Ayushman Bharat, disease burden) directly supplies the geriatric-care limb of the 2020 PYQ on health-care policies for geriatric and maternal care.
Key learnings from their answer
- ›Claims are nailed down with exact comparative numbers, not adjectives: PRS data showing bill referral to committees fell from 33% (16th LS) to 16% (17th LS) on the DRSC question, US ~25 amendments in two centuries vs India's 108 in 70 years on the flexibility/rigidity question, Census 2011 elderly at 11% on geriatric health, and 84% informal-sector workers contributing over half of GDP for platform workers. -> Memorise a few precise, contrasting data pairs per theme, a single 33%->16% or 25-vs-108 figure proves a point faster than a paragraph of assertion.
- ›Every one of the 20 answers opens with a 2-4 line context-setter pegged to a fresh, specific hook before the first sub-heading, India-PNG MoU for India Stack (Q17), the PM's Good Governance Day for Mission Karmayogi (Q15), the CEC Act 2023 for the EC question (Q14), India's aid to Sri Lanka for the Gujral Doctrine (Q18). -> Don't open with a textbook definition; lead with a current, answer-specific anchor (a recent MoU, Act, or event) so the examiner sees relevance from line one.
What they cited: Geriatric health: Census 2011 (senior citizens 11% of population); PM Jan Arogya Yojana; Ayushman Bharat Mission; Digital Health Mission; PM-BJP (Pradhan Mantri Bharatiya Janaushadhi Pariyojana); Alzheimer's, Parkinson's