Hello from the Common Health Coalition! The 2-4-2 Digest is a weekly snapshot for health leaders - 4 key insights in 2 minutes or with 2 swipes on your phone.

Weekly Health Insights

USPSTF: HHS has postponed meetings and delayed appointments for the U.S. Preventive Services Task Force, raising questions about the timing of anticipated new and updated preventive care recommendations. USPSTF guidance shapes both no-cost coverage requirements and clinical practice standards.

GLP-1: California and several other states ended Medicaid coverage of GLP-1 drugs for obesity in January, citing rising costs and budget pressure, leading to more inconsistency in coverage across states and payers. Meanwhile, a 2025 EBN Pharmacy Management survey finds many employers are treating GLP-1s as a long-term benefit due to sustained employee demand.

School-Based Health: Schools are expanding telehealth access to primary and mental health care for students as districts face persistent nurse shortages nationwide. The model allows limited nursing staff to cover multiple schools while keeping more students in school and out of emergency rooms.

Health AI: Last week, OpenAI launched ChatGPT Health, enabling users to ask health-related questions, upload medical records, and connect wellness apps, and Anthropic launched their AI tool for patients and providers, Claude for Healthcare. While experts urge caution with regard to privacy and interpreting medical advice, more than 40 million users already turn to ChatGPT with healthcare questions every day.

Colleague Corner

In JAMA Health Forum, Dr. Yiran Wang and colleagues outline a practical framework for advancing data equity in public health, emphasizing that underrepresentation in health datasets can undermine both policy decisions and emerging tools like AI. The authors outline ten core concepts to strengthen how data are collected, analyzed, and translated into action, combining computer science principles - such as fairness, transparency, and privacy - with public health data science best practices that address bias, causality, and generalizability.

"In a world of big data and generative AI, the concept of data equity is foundational to achieving improved population-level health outcomes. However, data equity alone is not enough. Systemic changes are needed to promote decision equity."

– Dr. Yiran Wang et al. 

Data Watch

A new JAMA Oncology modeling study estimates that proposed Medicaid eligibility restrictions (including work requirements and more frequent recertification) could cause 7.5 million adults to lose coverage over two years, leading to more than 1 million missed cancer screenings nationwide between 2027–2028. 

Figure. State-Level Projected Total Missed Cancer Screenings per 100,000 Medicaid-Enrolled Adults (2027-2028)

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