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Subject: Health

  • India has to act on its ‘sugar’ problem

    Why in the News

    The Food Safety and Standards Authority of India (FSSAI), the statutory food regulator, has proposed that packaged foods high in fat, salt or sugar carry a bold red warning on the front of the pack rather than in fine print on the back. The proposal follows prodding by the Supreme Court. It arrives against a childhood disease load that the World Obesity Atlas 2026 puts at 41 million overweight or obese Indians aged 5 to 19. The tension is that a warning label works on disclosure. The demand it targets is set by price, and India’s tax design currently charges a sugared drink and its zero sugar counterpart the same rate.

    What is the proposed front-of-pack warning label?

    1. What it marks: A bold red warning is placed on the front of a pack that is high in fat, salt or sugar, so the classification is visible at the point of choosing.
    2. What it replaces: The same information currently sits in the back of pack nutrition declaration, which is read after purchase rather than before it.
    3. What it is for: A person picking up instant noodles, a breakfast cereal or a health drink is told at a glance that the product is not as wholesome as its advertising claims.

    How large is the childhood problem?

    1. The headline count: 41 million Indian children and adolescents aged 5 to 19 are now overweight or obese.
    2. The clinical trend: The number of children presenting with morbid obesity and diabetes has climbed sharply within a few years.
    3. The driver is composition, not appetite: The rise is not only a matter of children eating more, it is a matter of what they are being sold.

    How is the market shaping what children eat?

    1. Products are sold as filling a dietary gap: Breakfast cereals, sweetened yoghurts and health drinks are marketed to parents as making up shortfalls in a child’s diet, emphasising energy and vitamins while saying little about sugar content.
    2. The same product is formulated differently by market: In 2024 a leading multinational was found adding sugar to infant food sold in India and other lower income countries, with sugar left out of the same product in Europe.
    3. Correction came from publicity, not regulation: A health drink popular in Indian homes turned out to be flavoured sugar syrup, and it took a social media storm rather than a regulator to force a 15 per cent cut in its added sugar.
    4. Unhealthy calories are priced to pocket money: An energy drink popular among teenagers is priced at Rs 20 and packs close to 17 grams of sugar, caffeine and artificial colour into a single bottle, and its label saying it is not meant for children stops nobody from buying it.
    5. Proximity to schools compounds it: Studies show that around schools and colleges the cheapest and most easily available snacks are also the least healthy.

    Where does the label stop short?

    1. School canteen norms are advisory: The FSSAI and the Central Board of Secondary Education (CBSE) have long recommended what schools should not sell, optional rules get treated as optional, and canteens stock whatever sells cheapest.
    2. The rule ends at organised retail: Most of India’s sugar, salt and trans fat is eaten unbranded from street stalls, dhabas and sweet shops, none of which is required to declare anything.
    3. The unregulated half of the plate is untouched: A red label on a biscuit packet does nothing about the jalebi sold loose beside it.
    4. Enforcement, not knowledge, is the missing input: A red warning label works only if it is actually enforced, and none of the underlying evidence about these products was ever secret.

    What does the United Kingdom’s levy show that India’s Goods and Services Tax slab does not?

    1. The United Kingdom taxed in tiers by sugar content: The soft drinks industry levy set thresholds by sugar concentration, so a manufacturer could lower its tax bill by changing the product.
    2. The response was reformulation, not repricing: Manufacturers reformulated their drinks to slip below the tax threshold rather than raise prices, and sugar consumption fell among both children and adults.
    3. India taxes the category, not the sugar: Since September 2025 aerated and sweetened beverages, sugar free versions included, have been folded into one 40 per cent Goods and Services Tax (GST) slab.
    4. The design removes the incentive it should create: A normal cola and its zero sugar counterpart pay the same tax, so a manufacturer has no reason to cut sugar.

    Does the objection that a sugar tax hits the poor hardest hold?

    1. The objection is not wrong: A consumption tax on a cheap product takes a larger share of a poorer household’s spending, and that is the standard case against it.
    2. It is only half the argument: Unregulated cheap sugar already extracts a heavy price from the poor, who bear the brunt of the diabetes, hypertension and childhood obesity that sugar heavy diets drive, with the least means to treat it.
    3. Inaction is itself a charge: Doing nothing is not neutral, it is a slower and costlier tax paid in ill health rather than in rupees at the till.
    4. The design answers the objection: A tax calibrated to sugar content nudges reformulation, and part of the revenue set aside to make healthy food cheaper offsets the burden on the households least able to absorb it.

    Challenges to the front-of-pack warning label

    1. A binary threshold invites formulation just below the line: A single high in fat, salt or sugar cut off rewards a product that sits marginally under it as much as one that is genuinely reformulated. Eg. The United Kingdom’s tiered levy was designed precisely to reward movement between bands rather than a single pass or fail.
      The Fix: Publish the underlying nutrient values on the front of the pack alongside the warning, so the distance from the threshold is visible rather than collapsed into one mark.
    2. Loose and cooked food carries no declaration duty: The disclosure obligation attaches to a package, so the food sold without one falls outside the rule entirely. Eg. Sweet shops, dhabas and street stalls supply a large share of India’s added sugar and declare nothing.
      The Fix: Extend a simplified menu board declaration to registered food service outlets above a turnover threshold, starting with chains that already standardise recipes.
    3. Advisory school norms carry no consequence: A recommendation to schools on what not to sell creates no liability for a canteen that ignores it. Eg. FSSAI and CBSE guidance on school canteens has stood for years without changing what canteens stock.
      The Fix: Make the school canteen standards a condition of affiliation, so non compliance is enforced by the board that already inspects the school.
    4. Marketing to children is not restricted alongside the label: A warning on the pack competes with advertising that positions the same product as a nutritional supplement for a growing child. Eg. Health drinks and sweetened cereals are advertised to parents on energy and vitamin content.
      The Fix: Set enforceable limits on the promotion of products carrying the warning mark to audiences under eighteen, rather than relying on industry self regulation.

    Conclusion

    A warning label changes what a buyer knows and leaves untouched what a buyer pays. The regulator is correcting a disclosure failure, and the tax code is holding the composition incentive flat; the two are pulling against each other inside the same policy. What has to change is the tax base: calibrating the levy to sugar content is what turns a consumer nudge into a producer obligation, and the label alone will not do it. The markers to watch are whether the labelling regulation is notified as mandatory rather than advisory, and whether the single beverage slab is broken into sugar linked tiers.

    Non-Communicable Diseases in India

    1. What they are: Non communicable diseases are long duration conditions such as cardiovascular disease, diabetes, cancer and chronic respiratory illness, driven by diet, tobacco, alcohol and physical inactivity rather than by infection.
    2. Their share of mortality: They account for about 66 per cent of total deaths in India, with cardiovascular diseases at 28 per cent and chronic respiratory diseases at 12 per cent.
    3. The scale and the age profile: An estimated 6.1 million Indians die of a non communicable disease each year, and roughly one in four Indians faces the risk of dying from one before the age of 70.
    4. The economic cost: India is projected to lose 4.58 trillion dollars by 2030 to non communicable diseases and mental health disorders.

    Laws and Rules Governing Non-Communicable Disease Prevention

    1. Food Safety and Standards Act, 2006: It replaced the Prevention of Food Adulteration Act, 1954 and created a single regulator for food standards, labelling and safety across the food chain.
    2. Food Safety and Standards (Labelling and Display) Regulations, 2020: They set the mandatory nutrition declaration and per serve information that the front of pack proposal is built on top of.
    3. Cigarettes and Other Tobacco Products Act, 2003: It bans advertising, restricts sale to minors and mandates pictorial health warnings, and it is the domestic precedent for a graphic warning driving consumption behaviour.

    Government Initiatives for Non-Communicable Disease Prevention

    1. Eat Right India: An FSSAI campaign to promote safe, healthy and sustainable food, working through certification of workplaces, campuses and eateries.
    2. National Programme for Prevention and Control of Non-Communicable Diseases: It funds population level screening for hypertension, diabetes and common cancers through district and community health centres.
    3. Fit India Movement and POSHAN Abhiyaan: The first targets physical inactivity through schools and workplaces, the second targets undernutrition and anaemia in children and mothers.

    Challenges in Non-Communicable Disease Prevention

    1. Surveillance is event based rather than predictive: Data for communicable disease, non communicable disease and animal health is collected in separate vertical silos, so a risk trend is visible only after it becomes a caseload. Eg. Childhood obesity data reaches policy through a periodic survey rather than a continuous registry.
      The Fix: Merge the vertical disease reporting streams into a single district level dashboard with a fixed reporting cycle.
    2. Primary care cannot sustain lifelong treatment: A non communicable disease requires uninterrupted medication, and the network closest to the patient is the least reliably supplied. Eg. Only 60 per cent of Ayushman Arogya Mandirs reported a dependable supply of essential non communicable disease drugs.
      The Fix: Tie the facility’s drug budget to its registered patient load rather than to a flat allocation, so supply scales with the panel it serves.
    3. Three disease burdens compete for the same budget: India simultaneously carries infectious disease, rising non communicable disease and emerging zoonotic threats, and health spending is allocated against outbreaks first. Eg. Prevention programmes are routinely reprioritised when an epidemic draws staff and funds.
      The Fix: Ring fence a fixed share of the health budget for prevention that cannot be reallocated to outbreak response within the year.
    4. Fiscal tools are used on tobacco but not on diet: Higher taxation is accepted as a public health instrument for tobacco and is treated as a revenue question for sugar and salt. Eg. India’s beverage taxation was reorganised in September 2025 without any sugar content differential.
      The Fix: Earmark a defined share of any diet related levy for subsidising fruit, vegetables and pulses, so the instrument is visibly a health measure rather than a revenue measure.

    Matching Previous Year Question

    “[2018] Consider the following statements: 1. The Food Safety and Standards Act, 2006 replaced the Prevention of Food Adulteration Act, 1954. 2. The Food Safety and Standard Authority of India (FSSAI) is under the charge of Director General of Health Services in the Union Ministry of Health and Family Welfare. Which of the statements given above is/are correct? (a) 1 only (b) 2 only (c) Both 1 and 2 (d) Neither 1 nor 2 ANSWER: (a)”

  • What flu surge can teach us about next pandemic

    Why in the News

    Different parts of India have reported 2 to 10 times more influenza cases this year than last year. The official position is that the circulating strain has not changed, and public advisories ask people to remain vigilant without becoming alarmed. That instruction states no action a reader can take. The detection layer built after Covid-19 is working, and the layer that must convert a detection into a decision is not. A surge of this size is the period in which that gap can be closed, since a pandemic is the worst time to learn.

    Pillars of outbreak management

    1. Surveillance: The ability to detect an outbreak early and to initiate action on that detection. For influenza it also covers genomic surveillance to identify the strain or variant behind the rise, which is what allows its virulence and the population’s susceptibility to be gauged.
    2. Prevention: Issuing advisories to high-risk individuals to avoid crowded places, promoting mask use, and vaccinating high-risk individuals and health workers.
    3. Control: Ensuring that those already infected receive proper medical care.

    What does the current surge actually show?

    1. The size of the rise: Reported influenza cases across different parts of the country are 2 to 10 times last year’s level.
    2. Hospital positivity has risen: Among patients admitted with severe acute respiratory infection (an acute respiratory illness severe enough to require hospitalisation), the positivity rate in selected hospitals was 16 per cent this year against 12 per cent last year.
    3. An unchanged strain is not by itself the answer: A well-established virus does not warrant serious concern on virological grounds alone. The scale of transmission still decides how many avoidable deaths occur.

    Why does surveillance not convert into action?

    1. No alert threshold is defined: A rise in influenza positivity past a defined threshold should trigger an alert. No such thresholds exist.
    2. The data is not public: There is no publicly available dashboard on which positivity trends can be seen, so no one outside the system can tell when a threshold would have been crossed.
    3. Responsibility is split three ways: Laboratory surveillance sits with the Indian Council of Medical Research (ICMR), response coordination with the National Centre for Disease Control (NCDC), and implementation with State health systems.
    4. No one holds authority to act on the signal: No integrated command structure exists with clear authority to coordinate and implement a response during a disease upsurge. This was the specific lesson Covid-19 offered and it was not learnt.

    Where is the line between an appropriate response and one that causes panic?

    1. The stated fear is panic: Governments hesitate to issue advisories on the ground that a public warning will itself cause alarm.
    2. The line is genuinely thin: Governments across the world struggle to place it, and the WHO has itself been accused of overreacting.
    3. The asymmetry decides it: Where the primary concern is to save lives, overreaction is the better error of the two.
    4. The current position sits on the wrong side: The response is too cautious and too bureaucratic for the scale of the surge.
    5. This is a professional capability, not a temperament: Situations of this kind require trained risk communication and named experts speaking, rather than a general advisory.

    Why does influenza vaccine use stay low even among high-risk groups?

    1. Poorly perceived threat: Influenza is treated as an ordinary seasonal illness, so the risk it carries for the elderly and the immunocompromised is discounted.
    2. Non-affordability: The vaccine is largely an out-of-pocket purchase for those outside institutional programmes.
    3. Doubtful effectiveness: Protection varies by season and by strain match, which weakens the case a physician can make for it.
    4. The annual injection requirement: Immunity does not carry over, so the decision has to be taken and paid for again every year.

    What should the response to this surge prioritise?

    1. Preventing avoidable deaths: At the current scale the objective is not to stop transmission but to keep high-risk people out of severe illness.
    2. A specific advisory rather than a general one: The advisory should tell high-risk people to avoid crowded places and to wear masks, in those terms.
    3. Immunising high-risk groups during the surge: The case for routine immunisation is debatable and the case during a major seasonal surge is not. Skipping it leaves the system unpractised for the next pandemic.
    4. Low antiviral use needs examination: Antiviral use stays low even in peak influenza season, which calls for a relook at the influenza management guidelines.
    5. The private sector has to be inside the response: Private providers and professional bodies deliver most outpatient care and cannot be reached through public system instructions alone.

    Challenges to India’s outbreak surveillance and response system

    1. Influenza carries no statutory duty to notify: Reporting rests on administrative instruction rather than legal obligation, so private-sector cases stay outside the national count. Eg. Most States have no public health Act listing notifiable conditions, and the Kerala Public Health Act, 2023 is among the few that do.
      The Fix: Enact a public health law fixing the list of notifiable conditions and placing the reporting duty on private providers as well as public ones.
    2. Vaccine composition is set for the wrong season: Supply follows the Northern Hemisphere formulation while influenza in much of India peaks with the monsoon. Eg. The WHO issues separate Northern and Southern Hemisphere composition recommendations each year.
      The Fix: Procure the Southern Hemisphere formulation for monsoon-peak States and fix the public procurement calendar to that cycle.
    3. Surveillance is an additional charge, not a post: District surveillance duties are given to serving clinical or programme officers on top of their own work, so analysis is done last. Eg. Rural Community Health Centres run at about an 80 per cent shortfall of specialists, which is the pool such officers are drawn from.
      The Fix: Create a separate public health cadre with dedicated district epidemiologist posts filled on their own recruitment line.
    4. Antiviral supply is not pre-positioned: Oseltamivir was moved from Schedule X to Schedule H1 in 2017, and the prescription-record duty that follows keeps retail stocking low outside declared alerts. Eg. Shortages appear at the retail counter in the same weeks that hospital positivity rises.
      The Fix: Stock antivirals at district hospitals ahead of the seasonal peak rather than relying on retail availability during the surge.
    5. Sequencing capacity is concentrated in a few laboratories: Sequencing volumes are set by laboratory capacity rather than by case load, so variant detection lags the epidemic curve. Eg. Sequencing effort fell sharply between Covid-19 waves and had to be rebuilt each time activity rose.
      The Fix: Fix a minimum sequencing share of positive samples per State per week as a standing requirement rather than an outbreak-time instruction.

    Conclusion

    An outbreak response is judged by the interval between a signal and a decision. India has built the layer that produces the signal and has not built the layer that must act on it, which is a governance problem rather than a scientific one. The next seasonal peak will test the same gap. The markers to watch before it arrives are whether a numeric alert threshold has been fixed and whether positivity data is published where the public can see it.

    Outbreak Surveillance and Pandemic Preparedness in India

    1. About: Disease surveillance is the continuous collection and analysis of health data to detect unusual disease activity early enough to act on it. Preparedness is the standing capacity to respond once that detection is made.
    2. The zoonotic load: Over 60 per cent of emerging infectious diseases in India are zoonotic, so animal and human surveillance cannot be run separately. Eg. Nipah virus, avian influenza, rabies and brucellosis.
    3. The triple burden: India faces infectious disease, rising non-communicable disease and emerging zoonotic threats at the same time.
    4. The standing weakness: Surveillance remains event-based rather than predictive, with communicable disease, non-communicable disease and animal health data held in separate vertical silos.

    Government Initiatives for Outbreak Surveillance and Pandemic Preparedness

    1. Integrated Disease Surveillance Programme: Collects district-level disease data and has been upgraded to carry animal health indicators for integrated surveillance.
    2. National One Health Mission: A cross-ministerial effort involving 13 departments to coordinate pandemic preparedness across human, animal and environmental health.
    3. National Institute for One Health, Nagpur: The anchor institution for research, training and policy integration on zoonotic disease.
    4. National Joint Outbreak Response Team: A multi-disciplinary team of human, animal and wildlife experts constituted for rapid outbreak investigation.
    5. BSL-3 and BSL-4 laboratory network: A national grid of high-security biosafety laboratories, with a new BSL-4 facility in Gujarat foundation-laid in January 2026.
    6. One Health Governance Framework: Released in December 2025 as a roadmap for States and Union Territories to set up State One Health Cells.

    Matching Previous Year Question

    “[2024, GS2, 15 marks] In a crucial domain like the public healthcare system, the Indian State should play a vital role to contain the adverse impact of marketisation of the system. Suggest some measures through which the State can enhance the reach of public healthcare at the grassroots level.”

  • Red label for salt, sugar and fat is a good start

    Red label for salt, sugar and fat is a good start

    Why in the News

    The Food Safety and Standards Authority of India (FSSAI) has proposed front-of-pack warnings (mandatory cautions printed on the front face of a packet, not in the nutrition table on the back) in the form of red hexagonal labels on packaged food high in sugar, refined carbohydrates, salt and unhealthy fats.

    Can a warning label change what people actually eat?

    1. The case for scepticism: Eating behaviour is complex and shaped by gender, economic wherewithal, awareness and faith-based restrictions, so a label competes with several stronger determinants of choice.
    2. The evidence from Chile: Chile recorded a 24 per cent drop in sugary drink consumption after it introduced black octagonal warning labels on packages in 2016, which shows that a clear front-of-pack warning can shift consumption.
    3. Why the earlier star design failed: An earlier FSSAI proposal for a health star rating was criticised because stars are perceived as positive. Warning labels bearing stars have been associated with increased consumption of unhealthy foods, so clarity and legibility decide whether a label warns or advertises.

    Why can a label be only one part of the response?

    1. A double burden: The obesity epidemic exists alongside malnutrition, so a policy that only discourages excess consumption addresses one half of India’s nutrition problem.
    2. The broader public-health response: The label must sit inside three further measures, raising nutritional awareness, stronger regulation of junk food, and nudges towards healthier lifestyles.
    3. What a label can honestly claim: A red label on a packet will not by itself make people eat better. Its value lies in making it easier to tell healthy choices from harmful ones at the point of purchase.

    Challenges to the front-of-pack warning label proposal

    1. No notification or timeline yet: The proposal has not been notified and the implementation timeline is still awaited, so the regulator’s intent has no legal force. Eg. FSSAI’s 2022 draft for an Indian Nutrition Rating star label was never operationalised and has now been replaced by this proposal.
      The Fix: Notify the regulation with dated phases so manufacturers and consumers have a fixed compliance calendar.
    2. A threshold that misses single-nutrient products: The first of two intended phases applies the label only where a product is high in two or more unhealthy ingredients, which leaves out products high in just one. Eg. A sweetened biscuit that is high in sugar but within limits for salt and fat would carry no warning in phase one.
      The Fix: Trigger the label on any single nutrient of concern crossing its limit, as Chile’s per-nutrient octagons do.
    3. A font too small to warn: The proposed font size may be too small to be effective, so the label could exist on paper without being seen on the shelf. Eg. Chile fixes a minimum size for each octagon relative to the pack face so it cannot be shrunk into the design.
      The Fix: Prescribe a minimum label area as a share of the front panel rather than a point size alone.

    Conclusion

    A warning label sorts products, it does not by itself change appetite. The Chilean result shows the sort is worth doing when the mark is unambiguous. What decides the outcome now is the notification: the date it is issued, whether phase one keeps the two-ingredient threshold, and whether the font is large enough to be read. Those three details are what to watch when FSSAI publishes the final regulation.

    Back2Basics: Food Safety and Standards Authority of India

    1. Statutory basis: FSSAI is a statutory body established under the Food Safety and Standards Act, 2006, which consolidated earlier food laws into a single regulator.
    2. Ministry and location: It functions under the Ministry of Health and Family Welfare and is headquartered in New Delhi.
    3. Mandate: It lays down science-based standards for food articles and regulates their manufacture, storage, distribution, sale and import, including labelling and display rules.

    [2024, GS2, 15 marks] In a crucial domain like the public healthcare system, the Indian State should play a vital role to contain the adverse impact of marketisation of the system. Suggest some measures through which the State can enhance the reach of public healthcare at the grassroots level.”

  • [27th May 2026] The Hindu OpED: The high cost of India’s private health-care boom

    [27th May 2026] The Hindu OpED: The high cost of India’s private health-care boom

    Question (2024, GS2): “In a crucial domain like the public healthcare system, the Indian State should play a vital role to contain the adverse impact of marketisation of the system. Suggest some measures through which the State can enhance the reach of public healthcare at the grassroots level.”
    Linkage: This question directly targets the core of the private healthcare boom, framing it as the “marketisation of the system”. It asks candidates to address the “adverse impacts” (such as high costs and inequitable access) and outlines the state’s responsibility to provide affordable, grassroots-level alternatives

    Mentor Comment

    The Parliamentary Standing Committee on Health and Family Welfare’s 176th Report has found that the average cost of hospitalisation is ₹50,508 in a private facility against ₹6,631 in a government facility, and that out-of-pocket childbirth expenditure is ₹7,630 in private facilities against ₹2,299 in public ones. The Committee has made 368 recommendations, including standardised package rates, mandatory pre-treatment cost estimates, a proposal to cap basic room tariffs in metropolitan private hospitals at the average tariff of nearby three-star hotels, and a review of foreign direct investment (FDI) rules governing the acquisition and management of existing hospitals. The article argues this exposes a contradiction at the heart of India’s health policy: the country wants more private and foreign capital in health care, particularly in Tier-2, Tier-3 and rural areas, even as it moves to restrict the same capital’s ability to acquire existing hospitals.

    What contradiction does the Committee’s report expose?

    1. Wanting more capital and restricting it at once: The Committee wants India to attract more private and foreign investment in health care, especially in under-served Tier-2, Tier-3 and rural areas, while simultaneously asking the government to review FDI rules on the acquisition and management of existing hospitals.
    2. Cross-subsidy expectation on corporate hospitals: Among its recommendations, large corporate hospitals earning from medical tourism, foreign patients and high-net-worth individuals are expected to cross-subsidise poorer Indians and reserve beds for Ayushman Bharat-Pradhan Mantri Jan Arogya Yojana (AB-PMJAY) beneficiaries at regulated rates.
    3. The case for continued investment: Hospitals require substantial capital, for land, equipment, intensive care units, digital systems, laboratories and trained personnel, and public hospitals cannot currently meet all demand for secondary and tertiary care, so foreign investors and private-equity funds fill a genuine capacity gap; excessively restrictive or unpredictable regulation risks pushing that investment elsewhere.

    How does information asymmetry drive up private health-care costs?

    1. The patient cannot independently verify need: A patient rarely decides independently whether an MRI is required, whether admission should continue for two more days, or whether a procedure is necessary, because the provider knows more than the patient, the condition economists call information asymmetry.
    2. Financial incentives shape volume, not just price: When financial incentives become too strong, they can influence not just the price of care but how much care is delivered in the first place.
    3. Institutional incentives compound the effect: Corporate hospital groups competing for well-known specialists, sophisticated technology and premium infrastructure build a high-cost ecosystem; revenue targets, procedure-linked incentives, and higher occupancy or revenue-per-bed expectations can gradually influence institutional behaviour even where most doctors act in patients’ interests.
    4. The resulting medicalisation: Lab investigations may detect abnormalities that would never have caused harm, more screening can lead to unnecessary follow-up tests, and a patient manageable as an outpatient may be admitted; Caesarean sections, angioplasties, intensive-care admissions, diagnostic packages and long medicine lists need to be read within this incentive structure, not only as individual clinical decisions.

    What should an FDI review in hospitals actually test?

    1. New capacity versus acquired capacity: Whether an investment creates new beds or simply acquires existing ones.
    2. Competition versus concentration: Whether it improves competition or leads to market concentration.
    3. Under-served areas versus metro saturation: Whether it enters an under-served district or adds another high-end facility in a metro that already has one.
    4. Enforceable public-interest conditions: Where an investor receives concessional land, tax benefits or other public support, whether there are enforceable obligations tied to affordable beds or participation in public insurance schemes.

    Why can’t a hotel-tariff-linked room cap fix hospital pricing?

    1. A hospital room is not a hotel room: A hospital room includes nursing, infection-control and emergency support that a hotel room does not, so tying its tariff to a nearby three-star hotel’s rate is easy to understand but does not capture what the charge covers.
    2. Capping one component shifts cost elsewhere: If one component of the bill is capped, hospitals may raise charges on other components, leaving the total bill largely unaffected.
    3. A relevant precedent, with a caveat: India’s experience with coronary stent price regulation showed that government intervention can reduce excessive mark-ups, but hospital care is more complex than a single device, since what matters is the total cost of an episode, not one component.
    4. The alternative on the table: Diagnosis-Related Groups (DRG), a patient-classification system that pays a fixed, predetermined amount for an inpatient stay based on the diagnosis and procedures involved, rather than reimbursing each service separately, alongside package rates, transparent cost estimates, billing standards and audit mechanisms.

    Challenges to price capping and FDI review as the fix

    1. Regulation cannot substitute for public capacity: India cannot regulate its way out of weak public health care; if government hospitals stay overcrowded, understaffed or hard to access, citizens will keep depending heavily on private providers regardless of price rules. Eg. OECD countries’ experience shows a strong public health system that offers a credible alternative is itself one of the most effective forms of regulation. Fix. Strengthen primary health care so disease is prevented, detected and treated early, so public hospitals become a genuine option rather than a last resort.
    2. Insurance design can reinforce the wrong incentive: An insurance system that pays for volume of procedures, rather than appropriate care, reproduces the same incentive problem privately funded care already has. Fix. Redesign AB-PMJAY and similar insurance systems to reward appropriate, outcome-linked care rather than higher procedure volumes, backed by clinical audits and evidence-based treatment protocols.

    Conclusion

    Price caps and an FDI review are reasonable starting points, but the Committee’s own recommendations expose a deeper contradiction between wanting more private and foreign capital in health care and restricting the same capital’s ability to acquire hospitals. The article’s central argument is that the real fix does not lie only in capping prices, but in building a public health system credible enough to counterbalance the incentive structure that private investment creates; the next milestone is whether the government acts on the Committee’s recommendations, including the proposed FDI review.

    Parliamentary Standing Committee on Health and Family Welfare

    1. It is a Department-related Parliamentary Standing Committee, one of the panels through which Parliament examines the working of a ministry, here the Ministry of Health and Family Welfare, between sittings of the House.
    2. Its reports, such as the 176th Report cited here, are recommendatory: the government must respond to them but is not bound to act on their recommendations.
    3. Its membership is drawn from both Houses of Parliament, giving it cross-party composition distinct from a ministry-appointed expert panel.
  • The birth story no one prepared me for

    The birth story no one prepared me for

    Why in the News

    Preterm births in India are rising, and Delhi alone has recorded a 21 per cent increase over the past five years. A study by the Indian Institute of Technology Delhi with international universities analysed National Family Health Survey data for 2015 to 2020. It established that prolonged exposure to heat significantly raises the chances of preterm birth and low birth weight. Motherhood in India continues to be narrated through the language of labour pain, sacrifice and endurance. That language describes a full-term vaginal delivery and nothing else. Causation is moving towards environmental exposure no individual can control. Responsibility is still located in the mother’s body.

    What is preterm birth?

    1. A birth before 37 completed weeks: Preterm birth is delivery before 37 completed weeks of gestation, counted from the first day of the last menstrual period.
    2. Three severity bands: The World Health Organization classifies births before 28 weeks as extremely preterm, 28 to 32 weeks as very preterm, and 32 to 37 weeks as moderate to late preterm.
    3. Low birth weight is a separate marker: A newborn weighing under 2,500 g is classified as low birth weight, with or without prematurity. The risk compounds when both are present.
    4. India carries the largest absolute burden: India records the highest number of preterm births of any country, at roughly three million a year, which is close to a fifth of the global total.

    What is kangaroo mother care?

    1. Skin-to-skin contact as clinical treatment: Kangaroo mother care places the low birth weight infant upright against the parent’s bare chest for prolonged periods, combined with exclusive breastfeeding, to stabilise temperature, heart rate and breathing.
    2. It is recommended from birth: The World Health Organization advises immediate and continuous kangaroo mother care for infants born under 2,000 g rather than delaying it until the infant is clinically stable.

    What does care inside a neonatal intensive care unit actually involve?

    1. Time is measured by instruments, not routines: Days inside a neonatal intensive care unit (NICU) are structured around oxygen saturation levels, heart-rate monitors and machine alarms rather than feeding schedules or sleepless nights.
    2. The first contact is mediated by equipment: Early memories of motherhood are of incubators and wires rather than of cradling a child, with infants weighing a few hundred grams held for kangaroo mother care.
    3. The mother is a patient at the same time: A caesarean delivery leaves the mother recovering from major abdominal surgery. The infant is treated several corridors away, so hours of sitting are managed through incision pain.
    4. Stays run into weeks, not days: A NICU admission after a very preterm delivery commonly runs six weeks or longer, which is a period of hospital residence rather than a hospital visit.
    5. Solidarity forms sideways, not from clinicians: Support comes from nurses, guards, hospital staff and other mothers in the same unit, who mark small milestones together and register each other’s setbacks.

    Why do preterm births keep rising in India?

    1. Maternal nutrition: The nutritional health of mothers is a direct contributor, with anaemia and low pre-pregnancy weight raising the risk of early delivery.
    2. The changing pattern of pregnancies: Later first pregnancies, higher rates of assisted conception and more multiple births all shift the distribution towards earlier deliveries.
    3. Environmental factors: A significant part of the rise is attributable to environmental exposure rather than to maternal or clinical factors.

    What does the parallel rise in caesarean sections indicate?

    1. Caesarean rates have moved well past the clinical reference range: The National Family Health Survey records 21.5 per cent of deliveries as caesarean nationally, against the 10 to 15 per cent range the World Health Organization treats as the point beyond which population level benefits stop.
    2. The private sector drives the gap: Caesarean deliveries account for 47.4 per cent of births in private facilities against 14.3 per cent in public facilities. The gap points to provider incentives rather than to clinical need.
    3. An emergency caesarean is a different event from an elective one: A preterm emergency caesarean is a rescue procedure for foetal or maternal distress, and it arrives without the preparation an elective procedure allows.
    4. Timing carries its own risk: Caesarean delivery before 39 completed weeks raises neonatal respiratory morbidity, so a rising caesarean rate and a rising preterm rate reinforce each other.

    Who is held responsible when a birth goes wrong?

    1. The dominant script has no place for a preterm birth: An initiation into motherhood that begins at the doors of a neonatal unit has no available story, so the experience goes unnarrated rather than merely unrecognised.
    2. Scrutiny falls on the mother’s conduct: Society places the burden of a healthy pregnancy almost entirely on women, and a premature birth intensifies that scrutiny into questions about whether she travelled or rested enough. The mother’s body becomes the site of investigation.
    3. The evidence points the other way: Environmental exposure and clinical practice are population level determinants, and neither is amenable to individual maternal conduct.
    4. The psychological cost has no recognised name: Conversation around postpartum depression has grown, and the emotional realities of neonatal intensive care motherhood remain largely invisible.
    5. Even the support offered polices the mother: Nurses urge mothers to stay positive because infants sense their emotions. That instruction converts grief into a further maternal responsibility.

    Challenges in maternal and newborn care in India

    1. Neonatal intensive care capacity is thin outside metros: District level special newborn care units handle stabilisation but not ventilation or surgery, so very preterm infants must be transferred to a medical college or a private hospital. Eg. Referral transport for sick newborns remains the weakest link in the newborn care chain in most States. Fix. Attach a functioning level three unit to every district hospital with a dedicated newborn transport ambulance on a fixed response standard.
    2. Neonatal intensive care is catastrophic out-of-pocket expenditure: A six-week private NICU stay runs into several lakh rupees and sits outside most insurance cover for a newborn without an existing policy. Eg. Ayushman Bharat covers the mother’s delivery package but not an extended neonatal admission in every State’s package list. Fix. Add a defined neonatal intensive care package with a per-day rate to the national health insurance benefit list, effective from the date of birth.
    3. Perinatal mental health has no service line: Public maternity facilities have no counsellor attached to the neonatal unit, so the psychological consequences of a preterm birth go unscreened and untreated. Eg. Screening for postpartum depression is not part of the standard postnatal visit schedule. Fix. Post a trained counsellor at every special newborn care unit and add a validated screening question to the routine postnatal check.
    4. Caesarean rates are unaudited in the private sector: No facility level audit compels a hospital to justify its caesarean rate, so the rate rises without a clinical explanation. Eg. Facility caesarean rates above 50 per cent are recorded in several States without triggering review. Fix. Publish facility-wise caesarean rates using the Robson classification and make registration renewal conditional on a rate review.
    5. Heat action plans do not name pregnant women: City heat plans list outdoor workers and the elderly as vulnerable groups and generally omit pregnant women, so no advisory or workplace protection reaches them. Eg. Most State heat action plans carry no antenatal advisory component. Fix. Add pregnant women as a notified vulnerable category, with heat advisories issued through antenatal care contacts and Anganwadi workers.
    6. Kangaroo mother care coverage stays low: The intervention is cheap and evidence-backed, and it requires a mother to remain beside the infant for hours. Most public units are not physically designed for that. Eg. Many newborn units have no space for a mother to stay overnight. Fix. Make mother-side accommodation a licensing condition for any unit designated to handle low birth weight newborns.

    Conclusion

    Preterm birth in India is being pushed upward by heat exposure and other environmental determinants that no individual pregnancy can be managed against, and the clinical system is simultaneously delivering more babies surgically and earlier. The response has stayed at the level of the individual mother, whose conduct is scrutinised and whose psychological care is not provided at all. Recognising heat as a maternal health exposure, auditing caesarean practice and funding neonatal intensive care are the three interventions the evidence already supports. Until they are in place, the burden of a structural change will keep being carried privately.

    “[2025] Consider the following statements:

    Statement I: At the 28th United Nations Climate Change Conference (COP28), India refrained from signing the ‘Declaration on Climate and Health’.

    Statement II: The COP 28 Declaration on Climate and Health is a binding declaration; and if signed, it becomes mandatory to decarbonize health sector.

    Statement III: If India’s health sector is decarbonized, the resilience of its healthcare system may be compromised.

    Which one of the following is correct in respect of the above statements?

    (a) Both Statement II and Statement III are correct and both of them explain Statement I

    (b) Both Statement II and Statement III are correct but only one of the them explains Statement I

    (c) Only one of the Statements II and III is correct and that explains Statement I

    (d) Neither Statement II nor Statement III is correct

  • Climate resilience starts with the health workforce

    Why in the News

    Floods in Kerala and Assam have exposed the challenge of protecting lives during climate-related disasters, with attention going to rescue, relief camps and rebuilding. Analysis of climate-health governance across South and Southeast Asia shows that the workforce which prevents a disaster from becoming a prolonged public-health crisis is trained through fragmented, donor-supported projects rather than through the health system's own institutions.

    What is a climate-resilient health system?

    1. About: A climate-resilient health system is one able to anticipate, respond to, cope with and recover from climate-related shocks without interrupting routine health services.
    2. What it rests on: Its resilience ultimately depends on the workforce that delivers adaptation, since surveillance, emergency response and community outreach are performed by people rather than by plans.
    3. What changes under climate stress: Many of the foundational competencies required for climate adaptation already exist within health systems, and what changes is the context in which they must operate.
    4. The design principle: Climate change requires reorienting existing competencies through a climate lens and introducing new competencies where needed, rather than replacing what already exists.

    What is a heat action plan?

    1. About: A heat action plan is a city or region specific preparedness protocol that sets temperature thresholds, colour-coded warnings, and assigned responsibilities for health facilities, municipal bodies and emergency services during a heatwave.
    2. Why it is health-led: It converts a meteorological forecast into concrete health system action, covering hospital surge beds, oral rehydration supply, cooling spaces and outreach to outdoor workers and the elderly.

    What does the health workforce actually do during a climate disaster?

    1. Hospital preparedness: Hospitals prepare for medical emergencies, which is the visible clinical face of the response.
    2. Disease surveillance: Surveillance teams monitor disease outbreaks, since displacement and standing water raise the risk of communicable disease after a flood.
    3. Water quality testing: Laboratories test water quality, which determines whether relief camps and returning households face contamination risk.
    4. Community outreach: Community health workers reach vulnerable households, carrying care to those who cannot reach a facility.
    5. Cross-department coordination: Public health officials coordinate responses across departments, since the response involves disaster management, water supply, municipal services and health together.
    6. The net effect: It is the health workforce that prevents a natural disaster from becoming a prolonged public-health crisis, which is the least visible part of the response.

    What have states already put in place?

    1. Surveillance: States have begun to strengthen surveillance systems, which is the first line of detection for post-disaster outbreaks.
    2. Heat action plans: States have developed region-specific and city-specific heat action plans.
    3. Emergency preparedness: States have improved emergency preparedness arrangements within the health system.
    4. Programme integration: States have begun integrating climate considerations into several public-health programmes rather than treating climate as a separate vertical.
    5. The illustrative case: Kerala's response to the floods illustrates how health departments are increasingly incorporating public-health measures into disaster response.

    What does the South and Southeast Asia evidence show?

    1. The regional scope: The analysis covers climate-health governance across South and Southeast Asia, so the finding is regional rather than confined to one country.
    2. The central finding: Workforce development across the region remains fragmented, with no common architecture linking training to the health system's own institutions.
    3. The funding pattern: Climate-health training is largely confined to donor-supported or project-supported initiatives.
    4. What that implies: Capability rises and falls with the funding cycle of individual projects rather than accumulating within the system.
    5. Why the region matters for India: India's own state-level heat action plans and surveillance strengthening sit inside this regional pattern, so the fragmentation finding applies directly to Indian districts.

    Why does workforce capacity remain a surge response rather than a standing capability?

    1. The three questions the record raises: Whether these capacities can be sustained across all states, districts and levels of the health system; how surge capacities can be developed given the severe shortage of health workers across India; and whether capacities are being embedded across the workforce or continue to depend on individual relief-specific programmes and emergency mobilisation.
    2. The competency position: The competencies needed are largely present already, so the deficit is not one of knowledge.
    3. The institutional position: Those competencies sit in isolated training programmes rather than in the systems that produce, supervise and evaluate health workers.
    4. The consequence: Capacity is activated only during emergencies rather than translated into routine practice.
    5. The shortage constraint: The severe shortage of health workers across India limits how much surge capacity can be raised from an already stretched base.

    What would institutionalising climate-health competencies require?

    1. Beyond isolated training: Building climate-resilient health systems requires moving beyond isolated training programmes towards institutionalising climate-health competencies.
    2. The five integration points: These competencies should be integrated into pre-service education, professional development, supportive supervision, planning, and performance management.
    3. Pre-service education first: Placing climate-health content in pre-service education means every entrant carries the competency, rather than only those a project reaches.
    4. Supervision and performance: Embedding competencies in supportive supervision and performance management is what converts a completed training into observed practice.
    5. The three enablers: The integration must be supported by sustained governance, financing and institutional mechanisms.

    Challenges to Building a Climate-Resilient Health Workforce

    1. Absolute workforce shortage: Surge capacity cannot be drawn from a base that is already below norm, since redeploying staff for a flood response leaves routine services uncovered. Eg. Rural health facilities across India carry large shortfalls of specialists against Indian Public Health Standards, and community health centres report specialist vacancies in the range of two-thirds of sanctioned posts.
    2. Donor-cycle training: Competencies built through project funding disappear when the project closes, so the same district is trained repeatedly. Eg. Climate-health training across South and Southeast Asia remains largely confined to donor-supported or project-supported initiatives.
    3. Absence from pre-service curricula: Medical, nursing and allied health curricula do not carry climate-health competencies, so every entrant needs retrofitting. Eg. Heat illness protocols and post-flood outbreak management reach practitioners through workshops rather than through undergraduate training.
    4. Frontline worker load: Community health workers already carry multiple programme responsibilities, so a climate role is added without relief elsewhere. Eg. Accredited Social Health Activists deliver maternal health, immunisation, non-communicable disease screening and survey duties on an incentive-based payment structure.
    5. Data and early warning gaps: Health surveillance and meteorological forecasting run on separate systems, so an alert does not automatically reach a health facility. Eg. Heat action plans depend on India Meteorological Department warnings reaching district health officers in time for hospital preparation.
    6. Financing for adaptation: Adaptation finance for health competes with mitigation and infrastructure, so recurring workforce costs go unfunded. Eg. Global adaptation finance fell from 28 billion dollars to 26 billion dollars between 2022 and 2023, against a commitment to double it to 40 billion dollars by 2025.
    7. Attrition and contractual staffing: Much of the trained emergency workforce is on contract, so trained staff leave and the competency leaves with them. Eg. National Health Mission staff are engaged on contract across most States, with recurring demands for regularisation.

    Conclusion

    The health workforce is what prevents a climate disaster from becoming a prolonged public-health crisis, and its competencies are already largely present within health systems. The deficit is institutional, since climate-health training across South and Southeast Asia sits in donor-funded and project-funded initiatives rather than in pre-service education, professional development, supportive supervision, planning and performance management. Embedding those five points, supported by sustained governance, financing and institutional mechanisms, is what converts emergency mobilisation into routine practice. Until that happens, every flood and heatwave will draw on a surge capacity that has to be assembled afresh.

    Climate Change and Health in India

    1. The exposure: India faces heatwaves, floods, cyclones, droughts and air pollution simultaneously, so climate acts on health through multiple pathways rather than one.
    2. Heat: Rising heat exposure raises heat stroke, cardiovascular and renal illness, and reduces outdoor labour productivity, with outdoor workers, the elderly and pregnant women most exposed.
    3. Vector-borne disease: Warming and altered rainfall shift the range and season of malaria, dengue, chikungunya and Japanese encephalitis, moving transmission into districts and altitudes previously unaffected.
    4. Water-borne disease: Floods and cyclones contaminate drinking water and trigger diarrhoeal disease, cholera and leptospirosis outbreaks in the weeks after the event.
    5. Air quality: Ambient and household air pollution contribute to a very large share of India's non-communicable disease burden, with respiratory and cardiac mortality concentrated in the Indo-Gangetic Plain during winter.
    6. Nutrition: Crop yield loss and price shocks from extreme weather transmit into dietary quality, which shows up as child undernutrition rather than as a disaster statistic.
    7. The institutional response: The National Programme on Climate Change and Human Health, launched in 2019 under the National Health Mission, is the nodal programme, with State and district climate-health cells and nodal officers.
    8. The global frame: The Global Goal on Adaptation under the Paris Agreement now carries the 59 Belem Adaptation Indicators, the first global indicators for adaptation, spanning water, food, health, ecosystems, infrastructure and livelihoods.

    Government Initiatives

    1. National Action Plan on Climate Change: The 2008 framework of national missions, whose State Action Plans on Climate Change carry the health adaptation components at State level.
    2. National Action Plan for Heat Related Illnesses: Issued by the health ministry, it prescribes surveillance of heat-related illness and death, hospital preparedness, and health advisories during the heat season.
    3. National Disaster Management Authority heat guidelines: Guidelines for preparation of heat action plans, first issued in 2016 and revised subsequently, which States and cities use to build local plans.
    4. Ayushman Arogya Mandirs: Health and wellness centres delivering comprehensive primary health care, which are the delivery point for climate-sensitive surveillance and outreach at the community level.
    5. Integrated Disease Surveillance Programme and Integrated Health Information Platform: The national outbreak detection system, which is the mechanism through which post-flood and post-cyclone outbreaks are identified.
    6. Mission LiFE: A behavioural initiative on sustainable consumption, positioned as the demand-side counterpart to institutional climate action.

    Key Facts about Climate and Health Governance

    1. World Health Day: Observed on 7 April, marking the founding of the World Health Organization in 1948.
    2. National Doctors' Day: Observed on 1 July in India.
    3. Declaration on Climate and Health: COP28 at Dubai in 2023 was the first Conference of the Parties to formally address the health impacts of climate change, with a Declaration on Climate and Health endorsed by more than 140 nations, calling for climate-resilient health systems, extreme heat protocols and health co-benefits of mitigation. India did not sign it.
    4. Health Day at COP: COP28 also hosted the first dedicated Health Day on the official Conference of the Parties agenda, convened by the Presidency and the World Health Organization.
    5. Belem Adaptation Indicators: The 59 Belem Adaptation Indicators adopted at COP30 are the first global indicators for the Global Goal on Adaptation, and health is one of the domains they cover.
    6. Baku Adaptation Road Map: A two-year structured agenda running from 2026 to 2028 under the global goal on adaptation work programme, guiding progress on the Belem indicators and adaptation finance tracking.
    7. Adaptation finance goal: COP30 signalled a tripling of adaptation funding to 120 billion dollars a year by 2035 within the wider 1.3 trillion dollar pact, as a political signal rather than a binding commitment.

    Challenges in Climate and Health Governance

    1. Split institutional mandates: Climate policy sits with the environment ministry, disaster response with disaster management authorities and delivery with health departments, so no single authority owns climate-health outcomes. Eg. Heat action plans are issued under disaster management guidelines, and heat illness surveillance runs through the health ministry.
    2. Plans without financing: State and city plans are prepared without a dedicated budget line, so implementation depends on reallocating funds from other heads. Eg. Reviews of Indian heat action plans have found most lack identified funding sources and legal backing.
    3. Weak local vulnerability data: Plans use uniform thresholds rather than locally derived ones, so warnings misfire in humid or high-altitude districts. Eg. Heat thresholds calibrated for dry inland cities do not capture the combined temperature and humidity stress in coastal districts.
    4. Under-recording of climate-attributable deaths: Heat and flood-related mortality is recorded under proximate clinical causes, which understates the burden used to justify funding. Eg. Heat stroke deaths are frequently certified as cardiac or renal failure without the heat exposure being recorded.
    5. Primary care infrastructure gaps: Facilities lack cooling, uninterrupted power and water security, which are prerequisites for functioning during a heatwave or a flood. Eg. Many primary health centres operate without assured power backup for cold chain and emergency care.
    6. Fragmented surveillance integration: Meteorological, water quality and disease surveillance systems do not exchange data automatically, so early warning does not translate into facility-level preparation. Eg. Outbreak detection after floods relies on manual reporting through the Integrated Disease Surveillance Programme.
    7. International finance shortfall: Adaptation finance for the health sector remains a small fraction of climate finance, which pushes workforce costs back onto domestic budgets. Eg. Adaptation finance globally fell from 28 billion dollars to 26 billion dollars between 2022 and 2023.

    Way Forward

    1. Put climate-health in pre-service curricula: Introduce climate-health competencies into medical, nursing, allied health and public health curricula, so every new entrant carries them without retrofitting.
    2. Embed competencies in supervision and appraisal: Add climate-health tasks to supportive supervision checklists and to the annual performance appraisal of district health officers and facility staff.
    3. Fund workforce costs from domestic budgets: Provide a recurring National Health Mission budget line for climate-health cells, district nodal officers and refresher training, so capability does not lapse with donor projects.
    4. Localise heat and flood thresholds: Derive district-specific temperature, humidity and rainfall thresholds from local mortality and morbidity data, rather than applying uniform national cut-offs.
    5. Integrate the data systems: Link India Meteorological Department warnings, water quality testing and the Integrated Disease Surveillance Programme, so an alert automatically triggers facility-level preparation.
    6. Improve cause-of-death recording: Add climate exposure fields to death certification for heat, flood and cyclone events, so the burden is measured and can be budgeted against.
    7. Climate-proof health facilities: Provide assured power backup, cooling, water security and structural resilience at primary health centres and community health centres in high-exposure districts.
    8. Regularise the emergency workforce: Convert contract emergency and surveillance staff into regular cadres, so trained capacity remains in the system rather than leaving with the contract.

    Matching Previous Year Question

    “[2024, GS2, 15] In a crucial domain like the public healthcare system, the Indian State should play a vital role to contain the adverse impact of marketisation of the system. Suggest some measures through which the State can enhance the reach of public healthcare at the grassroots level.”

  • [3rd August 2026] The Hindu OpED: Strong health systems for all with better public spending 

    PYQ Relevance
    [UPSC 2024] In a crucial domain like the public healthcare system, the Indian State should play a vital role to contain the adverse impact of marketisation of the system. Suggest some measures through which the State can enhance the reach of public healthcare at the grassroots level.
    Linkage: The PYQ focuses on strengthening public healthcare through better financing and governance. The article shows how efficient spending, preventive care, and stronger governance can improve grassroots healthcare despite limited funds.

    Mentor’s Comment

    As donor countries reduce health aid and developing countries face rising debt repayments, increasing health funding for low- and middle-income countries (LMICs) is not a realistic option in the near future. The focus has therefore shifted to using existing health budgets more effectively through full utilisation of funds, greater investment in preventive and public health, and better governance. However, while improving efficiency is essential, it cannot fully overcome the basic problem of inadequate per-person health spending.

    Why does the LMIC health financing gap appear to be narrowing but is actually widening?

    1. GDP-share convergence: The health expenditure gap between LMICs and high-income countries as a share of GDP narrowed from 2.05 percentage points in 2000 to 1.68 percentage points in 2023.
    2. Per capita divergence: In per capita terms, the same gap has expanded more than three-fold over the same period.
    3. Absolute shortfall: Per capita public spending on universal health coverage in LMICs, including government expenditure and off-budget aid, is about half the minimum benchmark identified by the World Bank.
    4. Misleading metric: A GDP-share comparison understates the real resource gap. LMIC economies and populations are growing, so per capita spending is the more accurate measure of unmet need.

    Why can LMICs no longer count on external aid or fiscal headroom to close this gap?

    1. DAH peak and reversal: Development assistance for health (DAH) peaked in 2021 during the COVID-19 pandemic and has declined sharply since.
    2. US cuts: The United States, historically the source of over a third of global DAH, announced a 67% cut to foreign assistance in early 2025.
    3. Allied cuts: The United Kingdom, France, and Germany followed with cuts of 39%, 35%, and 12% respectively.
    4. Projected decline: The OECD projects health funding could fall by up to 60% from its 2022 peak.
    5. Debt burden: Global public debt reached $102 trillion in 2024. Developing countries owed $31 trillion of this, growing twice as fast as advanced-country debt since 2010.
    6. Crowding out: Developing countries paid a record $921 billion in net interest payments in 2024, leaving less fiscal space for health.

    Why does allocated health money not reach the ground in LMICs?

    1. Execution rates: LMIC health budgets are executed at 85-90%, lower than execution rates for the general budget and for education.
    2. Deprioritisation at implementation: Underspending against allocation amounts to a deprioritisation of health at the implementation stage, even when the budget itself was adequate on paper.
    3. India infrastructure mission: A parliamentary panel found only about two-thirds of the allocation for the flagship health infrastructure mission was spent in 2024-25.
    4. India disease programmes: Within the National Health Mission, only 26% of the money earmarked for communicable and non-communicable disease programmes was used that year.
    5. Category-wise variation: Wage and salary budgets are implemented in full. Spending on goods and services is underutilised. Health workers are left without adequate supplies and equipment.

    Why does the composition of health spending matter as much as its volume?

    1. Curative bias: A large share of public health spending goes to curative care at the secondary and tertiary levels rather than preventive, primary care.
    2. India preventive share: India spends less than one-fourth of public health money on preventive care, per London School of Hygiene & Tropical Medicine estimates.
    3. Public goods logic: Public health money delivers the highest impact when spent on classic public goods such as infectious disease control or sanitation, where market failure prevents private provision.
    4. Evidence on outcomes: Public health spending markedly improves infectious disease outcomes through access, vaccination, and sanitation. It does far less for maternal, child, and non-communicable disease outcomes.
    5. Emerging pressure: Ageing populations will increase the need for spending on chronic disease risk factors, early detection, and management.

    How does governance quality determine whether health spending converts into health outcomes?

    1. Governance-spending interaction: Countries with lower corruption and stronger bureaucratic quality see greater positive effects of public health spending on outcomes such as child mortality.
    2. Converse risk: Increasing spending where governance is weak does not reliably improve outcomes.
    3. Decentralisation challenge: Growing decentralisation of service delivery makes subnational governance quality increasingly central to health outcomes.
    4. PFM components: Budget credibility, timely cash disbursement, and flexible budgets that can respond to unforeseen circumstances such as pandemics are central to good public finance management.
    5. Provider involvement: Involving public health providers in budget processes improves both their accountability and motivation.
    6. Procurement: Improving procurement processes helps achieve greater value for money in health-sector resources.

    Does spending health money better substitute for spending more, or does it merely defer the underlying financing question?

    1. Efficiency as necessity, not choice: With external aid contracting and fiscal space shrinking, efficiency reforms are being pushed as the primary lever, not because they are sufficient but because more money is currently unavailable.
    2. Limits of efficiency: Even full execution and optimal prioritisation cannot close a financing gap that stems from an absolute shortfall in per capita resources relative to benchmarks.
    3. Equity argument: Returns to health spending are greatest exactly where outcomes are poorest. Underfunded LMICs stand to lose the most from a financing pullback that efficiency measures alone cannot offset.
    4. Unresolved question: The article does not specify how the residual financing gap, after full execution and reprioritisation, will eventually be closed.

    Conclusion

    The contraction of development assistance for health and the fiscal squeeze from rising public debt have made the additional-financing pathway to closing LMIC health gaps unreliable. The immediate policy response must be to spend existing health budgets more fully, reprioritise toward preventive and public-goods spending, and strengthen governance and public finance management. These measures improve outcomes per rupee spent but do not eliminate the underlying financing shortfall. Since returns to health spending are highest where outcomes are worst, the case for restoring adequate financing remains unresolved.

  • Why is the centre revising the NFSA 

    Why in the News?

    The Union Food and Public Distribution Department has published a draft amendment to the National Food Security Act (NFSA), 2013 converting the Antyodaya Anna Yojana (AAY) entitlement from a household-based to a per-capita formula. Tamil Nadu and Kerala have objected, arguing the change will cut monthly foodgrain allocations for smaller households even though it is framed as an equity correction. The dispute revives a food-politics fault line between the Centre and these two States that traces back to the NFSA’s 2013 enactment.

    What has the Centre proposed, and what does it claim to fix?

    1. Current rule: Every Antyodaya Anna Yojana (AAY) household receives 35 kg of foodgrains per month, regardless of household size.
    2. Proposed rule: Each person in an AAY household is entitled to 7 kg per month, subject to a ceiling of 35 kg per household.
    3. Legal provision amended: The first provision to Section 3(1) of the NFSA, which governs the right to subsidised foodgrains for eligible households.
    4. Stated rationale: The F&PD Department says the household-based system causes intra-category inequity. Smaller households get a higher per-capita share. Larger households get a lower per-capita share that can fall below what priority households receive.
    5. Stated objective: The amendment aims to make allocation more rational and align entitlements with nutritional norms.
    6. Consultation window: Public comments were invited till July 13, 2026.
    7. Gap in the amendment: The draft does not address inclusion of ineligible persons as beneficiaries. This problem remains a State-level issue.

    Why have Tamil Nadu and Kerala historically treated food policy as high-stakes politics?

    1. Kerala’s PDS legacy: Kerala traces informal food distribution mechanisms to the erstwhile princely State of Travancore and launched a formal Public Distribution System (PDS) in 1962, three years before the Food Corporation of India (FCI) was established.
    2. Tamil Nadu’s political precedent: Incumbent governments lost power in 1952 and 1967 over failure to manage rice shortages, making rice policy a lasting political sensitivity.
    3. Kerala’s resistance to the 2013 NFSA: The Congress-led UDF government, despite the Congress-led UPA pushing the law at the Centre, resisted implementation. It argued the law would drop a large number of poor families and impose a heavy financial burden on the State.
    4. Delayed Kerala rollout: Chief Minister Oommen Chandy committed to enforcing the NFSA, but the formal decision was taken only under his successor, Pinarayi Vijayan.
    5. Tamil Nadu’s universal rice policy: Chief Minister Jayalalithaa opposed the NFSA after her government began distributing free rice to all ration cardholders in 2011, regardless of economic status.
    6. Concession extracted in 2013: Tamil Nadu secured a Central guarantee that its then-existing allocation levels would be legally protected under the NFSA.
    7. Delayed adoption: Both southern States joined the rest of the country in implementing the NFSA only in November 2016.

    Why does a per-capita formula built on a household ceiling disadvantage southern States?

    1. Mechanical effect of the formula: A household with fewer than five members receives less than 35 kg under the per-capita rule, since 7 kg multiplied by fewer than five persons falls short of the existing ceiling.
    2. Kerala’s structural exposure: Kerala’s Food Minister has argued that States characterised by nuclear families will lose out, since Kerala took the position in 2013 that AAY cardholders deserved “special consideration,” a stance it maintains.
    3. Tamil Nadu’s quantified loss: The State’s monthly allocation is projected to fall from 65,261 tonnes to 42,040 tonnes under the new formula.
    4. Scale of exposure in Tamil Nadu: Of 18.64 lakh AAY households, 15.75 lakh have fewer than five members, covering 58.51 lakh of the State’s 69.27 lakh AAY beneficiaries.
    5. Non-substitutability argument: Rice is a staple across all three daily meals for AAY cardholders and cannot be replaced with market purchases without significant out-of-pocket cost.
    6. North-South divide argument: Right to Food Campaign functionary Anuradha Talwar has argued that northern States, with larger average family sizes, will receive higher allocations under the new formula while southern States lose out.
    7. South’s collective stake: The five southern States and Puducherry together hold 52.51 lakh of India’s 250 lakh AAY household ceiling, about one-fifth of the national total, making the region’s exposure to the formula change substantial in absolute terms.

    What is the way forward, and does it resolve the underlying tension?

    1. Process concern: A change of this scale should have been subjected to wider public scrutiny before a consensus was sought, according to food policy commentary cited in the report.
    2. Middle-path proposal: Tamil Nadu Progressive Consumer Centre president T. Sadagopan has suggested a flat allocation of 30 kg per household, irrespective of family size, as a compromise.
    3. Fiscal rationale for the middle path: A flat 30 kg allocation would still let the Union government reduce its overall subsidy bill compared to the current 35 kg ceiling.
    4. Implementation context: Current off-take and distribution data for the financial year up to May 2026 show uneven utilisation across southern States relative to their allocations, indicating that formula design alone will not resolve execution gaps in the PDS chain.
    5. Unresolved gap: Neither the Centre’s draft nor the proposed middle path addresses the separate, State-level problem of ineligible persons remaining on beneficiary lists.

    Conclusion

    The NFSA amendment corrects a genuine per-capita inequity within the AAY category, but the household ceiling built into the new formula shifts the burden onto smaller-household southern States, reviving a federal food-politics conflict rooted in each State’s distinct PDS history. The amendment leaves the parallel problem of ineligible beneficiaries at the State level untouched, meaning one inequity is corrected while another persists. A flat per-household allocation remains a proposed middle path, but the Centre has not formally responded to it.

    PYQ Relevance

    [UPSC 2013] What are the salient features of the National Food Security Act, 2013? How has the Food Security Bill helped in eliminating hunger and malnutrition in India?

    Linkage: The PYQ examines the provisions and effectiveness of the NFSA as a rights-based framework for ensuring food and nutritional security. The proposed shift from a fixed 35 kg entitlement per AAY household to 7 kg per person, capped at 35 kg, enables a critical assessment of whether rationalising foodgrain allocation may weaken existing NFSA entitlements and affect vulnerable households unevenly.

  • Poshan Tracker

    Why in News?

    The Ministry of Women and Child Development (MoWCD) highlighted the achievements of the Poshan Tracker, India’s real time nutrition monitoring platform under Mission Poshan 2.0.

    What is Poshan Tracker?

    • Mobile based application launched in March 2021.
    • Developed by MoWCD with the National e-Governance Division (NeGD).
    • Digital backbone of POSHAN Abhiyaan.
    • Enables real time monitoring of nutrition, beneficiaries, and Anganwadi services.

    About POSHAN Abhiyaan

    • Launched on 8 March 2018.
    • India’s flagship National Nutrition Mission.
    • In 2021, merged with Anganwadi Services and Scheme for Adolescent Girls under Mission Saksham Anganwadi and Poshan 2.0.

    Key Features

    • Aadhaar based beneficiary authentication.
    • Facial Recognition System (FRS) for service verification.
    • Digital home visit scheduler.
    • Poshan Calculator based on WHO Child Growth Standards.
    • Tracks stunting, wasting, underweight, SAM, MAM, and obesity.
    • Provides ECCE learning content and Poshan Helpline (1515).

    Achievements (May 2026)

    • Covers 28 States and 8 UTs.
    • 8.93 crore beneficiaries registered.
    • 7.7 crore children tracked through Aadhaar authenticated database.
    • 6.3 crore children (0 to 5 years) monitored for growth (about 94% coverage).
    • 5.5 crore beneficiaries received Supplementary Nutrition for at least 15 days.

    Significance

    • Enables evidence based nutrition governance.
    • Reduces leakages and duplicate beneficiaries.
    • Strengthens Anganwadi service delivery.
    • Supports Digital India and Viksit Bharat.

    Prelims Facts

    • POSHAN Abhiyaan: 2018.
    • Poshan Tracker: March 2021.
    • Nodal Ministry: Ministry of Women and Child Development.
    • Uses WHO Child Growth Standards.
    • Operates under Mission Saksham Anganwadi and Poshan 2.0.

    [2023] Consider the following statements in the context of interventions being undertaken under Anaemia Mukt Bharat Strategy:
    1. It provides prophylactic calcium supplementation for pre-school children, adolescents and pregnant women.
    2. It runs a campaign for delayed cord clamping at the time of child- birth.
    3. It provides for periodic deworming to children and adolescents.
    4. It addresses non-nutritional causes of anaemia in endemic pockets with special focus on malaria, hemoglobinopathies and fluorosis.
    How many of the statements given above are correct?

    [A] Only one

    [B] Only two

    [C] Only three

    [D] All four

  • Anaemia Mukt Bharat Abhiyaan (Revised Guidelines)

    Why in News?

    The Union Health Ministry has launched the revised operational guidelines for Anaemia Mukt Bharat (AMB), upgrading it to Anaemia Mukt Bharat Abhiyaan with a strengthened 7×7×7 framework, digital monitoring and expanded beneficiary coverage.

    What is Anaemia Mukt Bharat (AMB)?

    • Launched in 2018 under the National Health Mission (NHM).
    • Aims to reduce anaemia through a life-cycle approach.
    • Supports the POSHAN Abhiyaan and Anemia Reduction Strategy.

    Key Changes

    • 7×7×7 Strategy (Earlier 6×6×6): Added Low Birth Weight (LBW) babies (0 to 6 months) as the 7th beneficiary group.
    • New Intervention: Introduces “Eating Right” to promote: Iron-rich diets, Dietary diversity, and Nutrition counselling
    • Digital Monitoring: New institutional mechanism for digital tracking and programme monitoring.
    • T4 Strategy (Earlier T3): Test, Treat, Talk, and Track (new addition)
    • Better Clinical Management: Severe anaemia in pregnant/lactating women: Ferric Carboxymaltose and Iron Sucrose (IV therapy)
    • Integrated Digital Ecosystem:
      • JANANI Portal: Pregnant women
      • RBSK Portal: Children
      • U-WIN Portal: Child health records
      • Integrated into a unified AMB Abhiyaan Portal

    Causes of Anaemia

    • Iron deficiency, Folate deficiency, Vitamin B12 deficiency, Worm infestations, Infections, Inherited blood disorders, and Poor dietary diversity

    NFHS-5 Highlights

    • Children (6 to 59 months): 67.1%
    • Women (15 to 49 years): 57%
    • Pregnant women: 52.2%
    • Adolescent girls (15 to 19 years): 59.1%

    Significance

    • Early intervention for vulnerable infants.
    • Improved diagnosis and follow-up.
    • Promotes nutrition-sensitive interventions.
    • Strengthens digital health governance.
    • Supports reduction in maternal and child morbidity.

    [2023] Consider the following statements in the context of interventions being undertaken under Anaemia Mukt Bharat Strategy:
    1. It provides prophylactic calcium supplementation for pre-school children, adolescents and pregnant women.
    2. It runs a campaign for delayed cord clamping at the time of child- birth.
    3. It provides for periodic deworming to children and adolescents.
    4. It addresses non-nutritional causes of anaemia in endemic pockets with special focus on malaria, hemoglobinopathies and fluorosis.
    How many of the statements given above are correct?

    [A] Only one

    [B] Only two

    [C] Only three

    [D] All four