Contents
Reconnect Public Health with People’s Needs
Mathew George — Professor, Department of Public Health Sciences, Central University of Kerala, Kasaragod · The Hindu- Public health policy is meant to be evidence-based and to guarantee at least minimal health benefits to the population, in pursuit of Universal Health Coverage (UHC) — access to needed health services without financial hardship.
- Two recent flagship initiatives — the Ayushman Bharat Health and Wellness Centres (HWCs) and the Ayushman Bharat Digital Health Mission (ABDHM) — illustrate a drift toward populist, symbolic interventions rather than addressing the real deterioration in access to care.
- Access is worsening due to rising private-sector costs and poor public-sector quality, yet these schemes neither expand infrastructure nor reduce costs — they largely rename institutions or generate data.
- Central argument: public health policy is shifting focus from population health outcomes to individual well-being, and from provisioning care to generating information — both easier to measure and announce, but ineffective at closing real access gaps.
- Ayushman Bharat HWCs: announced February 2018 under the National Health Policy, 2017; involved transforming existing Sub-Centres (SCs), Primary Health Centres (PHCs) and Community Health Centres (CHCs) by adding “Health and Wellness Centre” as a prefix — 1,50,000 HWCs envisaged as the primary-care pillar of Ayushman Bharat.
- Ayushman Bharat Digital Health Mission (ABDHM/ABDM): creates a digital health ID (ABHA card) and registries of health facilities, health-care professionals and insurance information — a pure information-infrastructure layer, not a service-delivery mechanism.
- WHO’s evolving definition of health moved from “absence of disease” to a holistic bio-psycho-social-spiritual concept, shaped by the 1950s wellness movement and the mental cure model — the conceptual root of today’s “wellness” framing in Indian policy.
- India’s three-tier public healthcare system — SC → PHC → CHC → District Hospital — is the structural backbone the author says continues to weaken even as new branding initiatives are layered on top.
- Conceptual ambiguity from renaming: adding “Health and Wellness Centre” as a blanket prefix to SCs/PHCs/CHCs created confusion among health professionals and policymakers about each tier’s actual mandate, since these institutions historically had distinct, evolving roles.
- Wellness vs. health promotion: “wellness” is individualistic and subjective — it assumes individuals have full capacity to alter their own health choices, underplaying structural and social determinants (poverty, sanitation, nutrition access). “Health promotion,” by contrast, is population-based and recognises that social, economic and environmental conditions shape people’s ability to be healthy.
- The measurement problem: there is no universally accepted way to measure well-being at the population level, unlike health promotion, which has firmer population-level metrics — echoing the management principle, “If you cannot measure it, you cannot improve it.”
- Individualisation of health outcomes: unmet needs in preventive, promotive, curative and rehabilitative care (drinking water, nutrition, chronic disease management, maternal-child health) are being displaced by an aspirational focus on individual well-being — fuelling the rise of “health coaches” and social-media wellness content under a public-health banner.
- The ABDHM’s structural gap: it builds registries and IDs (ABHA card, facility registry, professional registry) but has “little to say about the provisioning of care.” Information remains siloed; digitisation of records does not by itself create more hospital beds, doctors, or affordable treatment.
- In favour — Foundation for future integration: a digital health ID and unified registry could, in principle, reduce duplication, improve continuity of care across providers, and create a foundation for data-driven health planning — similar in rationale to the Aadhaar/UPI model of platform-based scale.
- In favour — Broader service basket on paper: Comprehensive Primary Health Care under HWCs nominally expands the service basket beyond maternal/child health to include NCD screening — a genuine policy upgrade in design intent, even if branding overshadowed substance.
- Against — Renaming without restructuring: a prefix change creates communication confusion without altering staffing, funding, or service delivery — symbolic reform mistaken for substantive reform.
- Against — Wrong outcome metric: shifting focus to “well-being” risks losing the ability to track concrete, population-level deficits in access and service delivery — undermining accountability and course-correction.
- Against — Information is not access: even universal ABHA coverage and fully mapped facilities and professionals cannot, by themselves, fix the underlying problems of unaffordable private care and poor-quality public care — the ABDHM addresses neither.
- Against — Misplaced priorities: resources spent on data-generation architecture arguably substitute for the harder, more urgent task of strengthening public healthcare institutions (SC/PHC/CHC), which the author says continue to weaken.
- Against — Top-down vs. felt needs: when policy is organised around abstract goals (well-being, digital records) rather than people’s immediate curative-care needs, it risks serving policymaker and provider priorities rather than the population’s actual concerns.
- Re-anchor public health policy in measurable population health outcomes (unmet needs in preventive, curative, promotive, rehabilitative care) rather than subjective individual well-being.
- Prioritise strengthening the three-tier public healthcare system (SC/PHC/CHC) with adequate staffing, drugs, diagnostics and referral linkages — not just nomenclature change.
- Treat digital health infrastructure (ABHA, registries) as a support tool, not a substitute, for actual service delivery — pair digitisation with concrete investment in care provisioning.
- Address the twin access barriers directly: regulate or subsidise private-sector costs and improve public-sector quality, since these — not information gaps — are the primary reasons access is deteriorating.
- Ground policy design in people’s felt, immediate health needs (curative care first) before layering on preventive, promotive or wellness ambitions.
- Ayushman Bharat Health and Wellness Centres (HWCs): created by adding the prefix “Health and Wellness Centre” to existing Sub-Centres, Primary Health Centres and Community Health Centres; intended to deliver Comprehensive Primary Health Care.
- Ayushman Bharat Digital Health Mission (ABDHM/ABDM): generates the ABHA card (unique digital health ID) plus registries of health facilities, health-care professionals, and health insurance information.
- WHO definition of health: evolved from “absence of disease” to a holistic concept spanning physical, mental, spiritual, social and environmental dimensions — the conceptual basis of the wellness-vs-health-promotion debate.
- Intro: Frame the gap between India’s UHC aspiration and the deteriorating access to care, introducing HWCs and ABDHM as the two flagship initiatives under scrutiny.
- Body 1 — The case for concern: the renaming of SC/PHC/CHC without restructuring; the individualisation of well-being as an unmeasurable outcome; the ABDHM’s information-only design that does not address provisioning of care.
- Body 2 — Possible counterpoints: digital health IDs and registries can lay groundwork for future integration (Aadhaar/UPI-style platform logic); CPHC nominally broadens the primary-care service basket. Avoid one-sided analysis.
- Conclusion: Public health policy must be re-anchored in measurable population outcomes and institutional strengthening, treating digital infrastructure as a support tool rather than a substitute for actual care provisioning.
Consider the following statements regarding the Ayushman Bharat Health and Wellness Centres (HWCs):
1. They were created by establishing entirely new health facilities distinct from the existing Sub-Centres and Primary Health Centres.
2. They were announced under the National Health Policy, 2017.
3. Their core mandate is to deliver Comprehensive Primary Health Care.
Which of the statements given above are correct?
Statement 1 — Incorrect. HWCs were created by transforming existing Sub-Centres and Primary Health Centres, not by building new facilities — this was done by adding “Health and Wellness Centre” as a prefix.
Statement 2 — Correct. HWCs were announced in February 2018, following the recommendations of the National Health Policy, 2017.
Statement 3 — Correct. Their stated mandate is to deliver Comprehensive Primary Health Care (CPHC), expanding services beyond maternal-child health to include non-communicable disease management.
India’s Next Challenge — From Invention to Global Scale
Kiran Mazumdar-Shaw — Executive Chairperson, Biocon Limited · The Hindu (Letters to the Editor)- India has repeatedly shown early technological vision (semiconductors, computing, handheld devices) but has historically failed to scale invention into globally dominant industries — the gap is not in scientific capability but in capital, ecosystem-building and commercialisation.
- As India enters new frontier-tech missions (semiconductors, artificial intelligence, quantum computing, space technologies), the central lesson from the past is: “invention alone is not enough.”
- The true measure of technological success lies in scaling innovation into globally competitive enterprises, not merely being first to invent.
- Core argument: “Scale creates ecosystems, ecosystems create industries, and industries create global leadership.”
- Semiconductor Complex Limited (SCL): Cabinet approval in 1976; production began in 1984 at Mohali, Punjab — India’s early semiconductor manufacturing bet, years before Taiwan’s TSMC was founded (1987).
- ECIL (Electronics Corporation of India Limited): established in 1967 under the Department of Atomic Energy — developed indigenous computers, control systems and strategic electronics, especially for nuclear, defence and space applications during a period of technology embargo.
- Simputer: conceived in 1998 by researchers at IISc Bangalore (Vijay Chandru, Swami Manohar, Ramesh Hariharan, V. Vinay) — an early handheld, multilingual computing device aimed at bridging the digital divide, anticipating features later popularised by smartphones.
- Apple’s iPhone (launched 2007) is cited as the contrasting case of a company that built a complete ecosystem — hardware, software, supply chain and consumer market — around a similar vision and achieved global scale.
- Models of success cited by the author: India’s pharmaceutical industry (a globally competitive manufacturing powerhouse and leading vaccine producer), the PARAM supercomputing programme, and Aadhaar and UPI as platforms that achieved genuine scale.
- The “stopped too soon” pattern: SCL, ECIL and Simputer all reflect genuine scientific and engineering capability but institutional, financial and ecosystem limitations — “limited capital, inadequate scale, inconsistent policy support and an inward-looking public sector approach.”
- Strategic vs. commercial divergence: ECIL’s focus on strategic and defence requirements rather than commercial products meant scientific excellence stayed confined within institutions instead of spawning industrial ecosystems.
- Missing ecosystem components (Simputer case): venture capital, software platforms, component supply chains and consumer markets were all immature in India at the time — contrasted with the fully-formed ecosystem Apple later built around the iPhone.
- New frontier opportunities: in AI, the DeepSeek example shows that technological leadership is not only about building the largest models — it is also about making intelligence cheaper and more accessible.
- Quantum computing presents an opportunity to focus on reducing the cost of quantum infrastructure and developing applications in health care, materials science, climate modelling and drug discovery, rather than merely replicating existing approaches.
- Space technology: the successes of Chandrayaan and Mangalyaan proved that frugal innovation can coexist with world-class ambition; emerging ideas such as space-based data centres powered by continuous solar energy are attracting serious attention.
- The UPI/Aadhaar analogy extended to AI: just as UPI democratised financial inclusion, the author argues India should aspire to “democratise intelligence” through low-cost, energy-efficient AI models that can serve billions of people.
- In favour — Historically well-grounded: the SCL, ECIL and Simputer examples are factually accurate and illustrate a real, repeated pattern in India’s technology history — invention without commercialisation.
- In favour — Forward-looking and actionable: the argument connects past lessons directly to current missions (semiconductor manufacturing, AI, space ambitions), making it policy-relevant rather than purely retrospective.
- In favour — Correctly identifies success factors: pharma, PARAM, Aadhaar and UPI are genuinely strong examples of India achieving global or national scale, lending credibility to the “scale creates ecosystems” thesis.
- In favour — Timely contemporary illustration: the DeepSeek reference usefully shows that technological leadership isn’t purely about being first or biggest, but about accessibility and cost — relevant to India’s stated strength in cost-effective innovation.
- Against — Underplays structural and policy constraints: the piece attributes past failures broadly to “limited capital, inconsistent policy” without deeply engaging specific systemic issues — such as the 1989 SCL fire or pre-1991 licence-raj constraints — that were arguably as decisive as ecosystem gaps.
- Against — Aspirational but light on mechanism: calls for India to lead in space-based data centres, quantum communication, and orbital AI infrastructure remain largely aspirational, without specifying concrete policy, funding or regulatory pathways.
- Against — Risk of survivorship-bias framing: citing pharma, UPI and Aadhaar as scale successes is valid, but these sectors had different starting conditions (large domestic demand, a generics-friendly global IP regime, government-mandated digital push) that may not transfer directly to semiconductors, quantum hardware or AI infrastructure.
- Against — Capital-intensity asymmetry: semiconductor fabs and quantum infrastructure require far larger, sustained capital outlays than software platforms like UPI — the ecosystem analogy may understate this difference.
- Build full-stack ecosystems — capital, supply chains, talent, regulatory support, consumer markets — around each frontier mission, not just R&D capability, learning directly from the SCL, ECIL and Simputer shortfalls.
- In AI, focus on making models affordable, energy-efficient and widely deployable rather than only chasing frontier model size, leveraging India’s existing strengths in software engineering and digital infrastructure.
- In quantum computing, prioritise cost reduction and sector-specific applications — health care, materials science, climate modelling, drug discovery — over pure replication of existing global approaches.
- In space technology, build on the frugal-innovation credibility of Chandrayaan and Mangalyaan to pursue genuinely novel niches such as space-based data centres and orbital computing infrastructure.
- Institutionalise patient, long-horizon capital and policy consistency across mission cycles, so that early scientific leads are not lost at the commercialisation stage as they were with SCL and Simputer.
- Success examples cited by the author: the Indian pharmaceutical industry (global manufacturing and vaccine leadership), the PARAM supercomputing programme, Aadhaar and UPI.
- DeepSeek — cited as an example showing that AI leadership is also about making intelligence cheaper and more accessible, not only about building the largest models.
- Intro: Frame India’s repeated pattern of early technological vision followed by failure to scale, citing SCL, ECIL and the Simputer as entry points.
- Body 1 — The scaling deficit: limited capital, inconsistent policy support, an inward-looking public-sector approach, and missing ecosystem components (venture capital, supply chains, consumer markets).
- Body 2 — Lessons for new missions: apply the “scale creates ecosystems” logic to AI, quantum computing and space technology, drawing on the genuine successes of pharma, PARAM, Aadhaar and UPI — while noting the structural and capital-intensity differences across sectors.
- Conclusion: India must combine self-reliance with global ambition — the challenge is no longer to invent, but to build, scale and commercialise; nations that lead tomorrow will be those that scale best.
Consider the following statements with reference to India’s early technology ventures:
1. The Electronics Corporation of India Limited (ECIL) was established under the Department of Atomic Energy.
2. The Semiconductor Complex Limited (SCL) began commercial production before Taiwan’s TSMC was founded.
3. The Simputer was conceived by researchers at the Indian Institute of Science, Bangalore.
Which of the statements given above are correct?
Statement 1 — Correct. ECIL was established in 1967 under the Department of Atomic Energy.
Statement 2 — Correct. SCL’s Cabinet approval came in 1976 and production began in 1984, while TSMC was founded only in 1987.
Statement 3 — Correct. The Simputer was conceived in 1998 by researchers at IISc Bangalore, including Vijay Chandru, Swami Manohar, Ramesh Hariharan and V. Vinay.


