Description: This tables shows BMIs at common height and weight combinations.

Description: This review uses historical and contemporary sources to trace the growth of national health expenditures in the US from 1776 to 2026.

Description: What is the difference between a Single-Payer and Universal Health Care System, and how could the U.S. implement a system that would reduce the growth of medical costs while increasing quality.

Description: On average, contracts receiving their first star rating receive 3.20 stars, compared to existing or established contracts receiving 3.90 stars on average. This 0.70 disparity in quality ratings creates significant hardship on new contracts when this lower star rating decreases their payments in the following calendar year. This article explores the disparity in Medicare Advantage Star Ratings between contracts receiving their first star ratings (“New” contracts) and existing contracts, including: 1. Understanding what happens to Medicare Advantage Payments when contracts receive lower star ratings? – What is the Star Rating cliff and why does it matter to new contracts? 2. Explaining when a contract receives their first star rating and how much enrollment this requires – When does the Star Rating cliff occur? 3. Noting which specific star measures “New” contracts struggle with, including those contracts under large parent organizations, contracts with rapid growth, and all other new contracts. – How can my contract avoid the Star Rating cliff?

Description: Part one of a two part series explores implementation issues for the Mental Health Parity and Addiction Equity Act of 2008 MHPAEA.

Description: CHCS is a nonprofit policy center focused on improving American health outcomes, particularly for low-income people, including payment & delivery system reform.

Description: Countries developing universal health care via an insurance vehicle face a variety of challenges. Deciding which benefits to include, where to proactively manage health, and how to reimburse network providers are just a sampling of the issues governments concurrently manage. Optimal choices are data-driven responses. For example, high rates of cervical cancer or increasing narcotics prescriptions are trends that can be managed through product changes, modified network payment structures, or even employer based outreach. This kind of information is typically gleaned from established health insurance claims data. However, in emerging health insurance markets, this level of granular claims data is largely missing. It is difficult to manage medical trend when the root causes are unclear. This article explores a pilot medical underwriting project in Jordan.