Analyzing the Economics of Health Insurance Markets

For health plans launching 2026 Benefit Design, this is a must-read paper: "The Health Costs of Cost-Sharing." Here's my summary: [Note: it's very impressive whenever top-tier pure econ journals like QJE (Quarterly Journal of Economics) publish health econ papers ...signal of very strong quality] The ideal question we want to answer: "What happens when patients suddenly stop taking their medications?" This is a HARD question to study. Why? Getting IRB approval for a randomized clinical trial to answer this question is impossible, i.e., we ethically can't randomize people to stop taking their medications. This study's clever solution is to take advantage of where this is happening naturally, i.e., a 'natural' experiment. (This circumvents the ethical dilemma.) 🧪 What's the natural experiment? - Medicare Part D pays $2500 in drug costs per year. - When you first enroll into Medicare at age 65, it's based on your birthday month when you turn 65. - As a result, if you are born in January, the $2500 has to stretch the whole year. - If you were born in July, it would only have to stretch 6 months. - But, in all cases, once you pass the $2500 budget (paying 25% of your drug costs), you immediately jump to paying 100% of your drug costs. This is the infamous 'donut hole' conundrum. This natural variation, based on your birth month, allows the researchers to ask, and answer, this key question: What happens to those who 'randomly' end up with higher copays? ANSWER: • "Those facing smaller budgets consume fewer drugs and die more: mortality increases 0.0164 percentage points per month (13.9%) for each $100 per month budget decrease (24.4%)" • "Contrary to the predictions of standard economic models, high-risk patients (e.g., those most likely to have a heart attack) cut back more than low-risk patients on exactly those drugs that would benefit them the most. (e.g., statins)." • "Finally, patients appear unaware of these risks. In a survey of 65-year-olds, only 1/3 believe that stopping their drugs for up to a month could have any serious consequences." But, aren't there a lot of alternative explanations?? ... yes, there are a LOT of caveats, and this is the beauty of this study. They 100% went overboard in positing and then refuting many potential alternative explanations. And, as we'd expect, they do a tremendous job here. This isn't surprising given this was published in QJE. Key takeaways for me: → 1️⃣ Medicare Part D onboarding policies are worth re-evaluating (donut holes, copays, fixed budgets). For now, health plans need to be aware, and adjust. I'm curious to learn more about what health plans are doing here. → 2️⃣ It's critical we educate patients (and physicians) on the mortality risks associated with missing medications. As co-author Ziad Obermayer succintly summarized: "Copays kill." Read the paper for more details (link in comments).

In 2006, the Netherlands faced something very familiar. Rising healthcare costs. Fragmented insurance pools. Risk selection. Growing inequity between coverage types. Public frustration. Sound familiar? And no — they did not “blow up the system.” They did not nationalize hospitals. They did not eliminate private insurers. They restructured incentives. Under the Health Insurance Act, the Netherlands unified its insurance market into a single, mandatory system built on regulated competition. Here’s what changed: • Every insurer must offer a standardized basic benefits package. • Insurers must accept every applicant — no medical underwriting. • A national risk equalization pool compensates plans that enroll sicker patients. • Coverage is mandatory, with income-based subsidies to make participation realistic. Private insurers remained. Competition remained. Choice remained. But profit could no longer depend on avoiding sick people. It depended on operational efficiency. That shift matters. By standardizing benefits and implementing national risk equalization, the Netherlands significantly reduced the financial incentive for risk selection and for vertically integrated strategies built around controlling coding, utilization, or cherry-picking healthier populations. When insurers cannot profit from avoiding the sick — or from manipulating risk — the business model changes. Competition shifts toward efficiency, service, and supplemental offerings. Over time, this structure also makes transparency structurally possible. Standardized benefits allow meaningful comparison. Universal participation legitimizes oversight. Financial reporting becomes part of the public function. That is how infrastructure behaves — even when delivered by private entities. The result? Uninsured rates dropped to approximately 1%. Not in 1950. Not in theory. In 2006. This is important because when Americans hear “reform,” they often imagine something radical or government-run. But the Netherlands kept private insurers. They kept regulated competition. They kept employer involvement. They simply aligned the insurance market with the mission of healthcare. We already spend enough in the United States to achieve near-universal coverage. We already have private insurers. We already regulate healthcare extensively. What we have not done is align the incentives of insurance with the goals of health. That is not a spending problem. It is a structural design problem. And other modern capitalist countries have shown — recently — that structural redesign is possible without dismantling the architecture. The question is not whether reform is imaginable. It is whether we are willing to change what insurance is optimized to do. #healthpolicy #healthcarereform #infrastructure #publichealth

The US healthcare marketplace has no idea how to  value behavioral health interventions. And it's costing us everything. Here's what insurers are missing: ↳ Veterans getting mental health care show 40%   lower late-stage cancer rates ↳ Depression treatment cuts heart failure   rehospitalizations by 35% ↳ Anxiety therapy reduces all-cause mortality   in cardiac patients The math is staggering: 1/ Every $100 invested in behavioral health  ↳ Returns $190 in reduced medical claims ↳ Prevents costly emergency escalations ↳ Cuts inpatient hospitalization rates 2/ Mental health treatment for seniors ↳ Reduces dementia diagnosis rates significantly ↳ Particularly effective for vascular dementia ↳ Saves decades of long-term care costs 3/ Employer programs prove the ROI ↳ Telepsychiatry shows comparable total costs ↳ Outpatient interventions prevent crises ↳ Early screening stops illness progression Yet insurers still treat mental health as  "nice to have" instead of "must have." This isn't just about parity laws. It's about basic healthcare economics. When we underpay for behavioral health, we  overpay for everything else. Mental health treatment doesn't just save minds. It saves lives, money, and entire healthcare systems. ------------------------------------------- ⁉️ How much longer can we afford to ignore  the $190 return on every $100 invested? ♻️ Share if you believe behavioral healthcare is mispriced. 👉 Follow me for more (Eric Arzubi, MD).

This open-enrollment season has seen a spate of headlines about premiums and politics, and how medical cost growth will affect individuals. But the real sleeper issue this year is how deeply the Affordable Care Act (ACA) marketplaces are now woven into the fabric of America’s small-business economy. As Cynthia Cox of KFF reminds Julie Rovner on this episode of What the Health?, the ACA isn’t just a safety net for individuals — it’s lifeline for Main Street that is under threat. Five takeaways from Cynthia’s analysis 1️⃣ Nearly half of adults under 65 with marketplace coverage are tied to small business. They’re owners, sole props, freelancers, or employees of firms with <25 workers. The “individual” market has quietly become the small-business group market. 2️⃣ Income volatility = coverage volatility. When small business revenue swings — contractors, caterers, consultants — the mechanics of income estimates and reconciliation can be difficult, and can adversely affect the business owner. 3️⃣ Geography matters. In many states, small-group options are limited or costly. For countless local firms, the exchange is the only functional benefits platform. 4️⃣ Marketplace access supports hiring and retention. When workers can secure high-quality coverage on their own, small firms can compete for talent without carrying a traditional group plan. 5️⃣ Entrepreneurship thrives on predictable health access. The ACA reduced “job lock.” Unpredictability around affordability negates that. We need better solutions for small and medium enterprises There’s no single solution. A mix of tools can strengthen the ecosystem that connects coverage to small-business success: - Individual Coverage Health Reimbursement Arrangements (ICHRAs): let employers reimburse employees for marketplace premiums with pre-tax dollars — a powerful bridge between flexibility and security (see Venteur) - Simpler income reporting & reconciliation: so gig and seasonal workers don’t face unexpected bills. - State-level affordability funds & reinsurance: to keep markets stable. - Targeted outreach to entrepreneurs: because many still don’t realize marketplaces and ICHRAs can work together. These are not partisan ideas — businesses need ways to mitigate healthcare cost inflation and stable markets to provide coverage for workers. Thanks to Cynthia Cox for emphasizing this issue. We’ll be focused on this at Morgan Health, in collaboration with others, over the coming year. https://lnkd.in/epxrutZU

10L cover at 18K, 1 Cr cover at 35K. Sounds fishy 🐠 It's not fishy. It’s not charity either. It’s math. And it’s good business. Here's the economics behind why cheap 1 Crore covers and and how to deal with it? 1 Crore health insurance available at throw away rates feels counterintuitive. A crore sounds like a huge risk for insurers, yet premiums drop sharply as you go higher. The first question people ask - will insurers pay such high claims?? What you need to understand is Health insurance pricing is based on probability and utilization, not on the size of the cover. You are not buying ₹1Cr protection, you are paying for the probability of needing it. The chance of using up ₹2L in a year is higher. The chance of ever touching ₹1Cr is much much lower. And so Premiums are priced accordingly. Taking the example of HDFC ERGO Optima Secure (family floater): 5L → ~₹4,969 per lakh 10L → ~₹2,836 per lakh 20L → ~₹1,584 per lakh 50L → ~₹784 per lakh 100L → ~₹460 per lakh The first few lakhs cost the most because most claims happen in this range. As you move higher, the probability of claims drops, so incremental cost per lakh falls sharply. For insurers, this is good business. High covers are low-risk, low-utilization revenue. They collect premiums year after year, but very few customers ever make such large claims. High covers also work as a marketing hook. ₹1Cr sounds premium and makes people feel safer, even though most claims are within the first few lakhs. This is actually a win-win. 👉 Insurers are happy offering low-frequency, high-risk covers because they are profitable. 👉 Customers are protected from rare but devastating risks that could wipe out savings and future goals. 🚨 But manage your expectations. A ₹1Cr cover does not mean premium service. Claims are still processed under the same rules: – Reasonable & Customary clause: can cut claims if hospital charges exceed “market average." We have seen hospitals abuse the policy when they realize the customer has a high cover - unnecessarily impacting your cover, and insurer's losses. – Sub-limits and disease caps: can restrict payouts. So what should you do? Buy a high cover. But in a careful combination. IMO - a base policy plus a super top-up is smarter than a straight ₹1Cr policy. A 10L base plus 90L super top-up usually costs less than a single 1Cr policy. ⚠️⚠️ More importantly - It also gives flexibility later. If premiums rise steeply (which they are) at 65 or 70 due to medical inflation, you can decide to drop the base (pay small bills from savings) and continue the super top-up to protect against large losses. High covers are important. Just understand how insurers price them and how they actually work. The size of the number matters less than how well you structure your cover and how prepared you are for the fine print.

Recent reports indicate that India's health insurance premiums have exceeded the national health budget, highlighting a significant shift in healthcare financing. While this surge reflects increased awareness and demand for health coverage, it also underscores a pressing concern: the growing disparity in healthcare access. Medical inflation in India has consistently outpaced general inflation, with rates hovering around 13-14% annually. This escalation has led to higher premiums, making quality healthcare increasingly unaffordable for many. Consequently, a significant portion of the population remains underinsured or uninsured, exposing them to financial vulnerabilities during medical emergencies. The government's flagship scheme, Ayushman Bharat, aims to bridge this gap by providing coverage to the economically disadvantaged. However, the reliance on insurance-based models, both public and private, raises questions about the long-term sustainability and inclusivity of our healthcare system. To achieve true equity in healthcare, a multifaceted approach is essential: Enhanced Public Investment: Increasing budgetary allocations to strengthen public healthcare infrastructure. Regulatory Oversight: Ensuring transparency and fairness in premium pricing and claim settlements. Awareness Campaigns: Educating citizens about available schemes and the importance of adequate coverage. #HealthcareEquity #Insurance #PublicHealth #AyushmanBharat #MedicalInflation https://lnkd.in/gcmbBT6N

Health insurance won’t ever feel fair, because it isn’t designed to, maybe it just cannot. But you cannot expect perfect fairness either, you just need fewer nasty surprises, and that only works if you really understand your insurance. 1. The Behavioral Economics Lens Default bias: People stick with their first policy forever → that’s why premiums spike after 60, when you won’t leave. Loss aversion: Riders and top-ups are sold as “extra protection” even when you don’t need them. Optimism bias: Young buyers underestimate risk → that’s why insurers load waiting periods up front. 2. The Portfolio Lens Health insurance is sold as if it’s a product. It’s not. It’s an asset class inside your personal risk portfolio. Just like investments, you layer group + retail + top-up. Just like investments, you rebalance every 3–5 years. Just like investments, your returns depend more on the system than on the product. 3. The Power Dynamics Lens Hospitals, not insurers, often control your claim outcome. Billing desks inflate consumables because they know insurers won’t pay. You bear the gap. Surgeons choose ICU category; insurers apply proportional deductions. Hospitals push certain insurers because of faster payouts. 4. The Time Horizon Lens Insurance is designed to look safe today and fail tomorrow. Medical inflation runs 12–14%. A ₹10 lakh cover today is a ₹3 lakh cover in 10 years. Treatments evolve faster than policies (CAR-T, robotic surgery, gene therapy). Cohorts age, premiums spike with them. 5. The Moral Hazard Lens Insurers assume hospitals over-treat and patients over-claim. That’s why they insert co-pays, caps, and pre-approvals. These are their defenses against hospital incentives. To understand insurance, we have to understand, it is built to protect the insurer first. If you want to survive it, you need to think like them. #kamalkisoch

I’ve been tracking India’s health insurance space for years. A 41% jump in grievances to 1,37,361 complaints in FY25 tells me something more fundamental - claim experience is becoming the industry’s biggest risk. Nearly 69% of complaints are linked to claims. That tells me the real problem isn’t selling policies. It’s honoring them when it matters most. I believe insurance is tested at the hospital desk, not at the sales pitch. If claims become friction points and exclusions become surprises, trust weakens regardless of how fast premiums grow. How can insurers improve this? In my view: 1. Fix incentives - link sales compensation to persistency, grievance ratios and claim TATs, not just premium growth. 2. Simplify products - fewer sub-limits, clearer waiting periods, and a one-page exclusion summary in plain language. 3. Make claims trackable - real-time status updates, defined turnaround times, and clear written reasons for any rejection. 4. Use data proactively - audit rejection patterns by hospital, agent or product before complaints escalate. 5. Publish experience metrics - not just claim settlement ratios, but actual average settlement timelines. To me, this isn’t just about tighter regulation. It’s about aligning growth with accountability. Because in health insurance, the real product isn’t the policy document. It’s clarity and certainty when someone needs it most. What do you think? Data source : Economic Times.

our peer-reviewed study on Medicaid losses out today: https://lnkd.in/gsctAMfv Based on empirically derived parameters from prior studies of health outcomes, healthcare systems, and local economies, the estimated health and economic impacts (per 100,000 people losing Medicaid coverage) include: 13-14 excess deaths annually 810-924 preventable hospitalizations annually ~2,582 jobs lost annually ~$1.2 billion in reduced economic output annually Rural hospitals face heightened risk of closure, with impact disproportionate to coverage losses due to the high concentration of patients on Medicaid in rural areas. Federally qualified health centers (FQHCs) experience revenue reductions of 18.7-26.1%.