JAMA Health Forum

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JAMA Health Forum is a member of the JAMA Network, a consortium of peer-reviewed, general medical and specialty publications. 🌐 JAMAHealthForum.com

JAMA Health Forum is seeking editorial fellows for a 1-year, hands-on fellowship program beginning January 1, 2027. Fellows will receive training in the editorial processes and policies of a major health policy and health services journal. 📅 Apply by Sept 1: ja.ma/4fina04

JAMA Health Forum announces a 'Call for Applications: Editorial Fellowship.' Deadline: 'Due September 1, 2026.' Background shows hands typing on a laptop keyboard.

📢 Now accepting applications: 2027 JAMA Health Forum editorial Fellowship. Scholars with a doctoral degree interested in the policies that shape health are encouraged to apply for this fellowship to receive hands on training. Applications due September 1, 2026. 🔗 ja.ma/3T1W71O

JAMA Health Forum logo with JN logo. Text: Call for Applications: Editorial Fellowship. Due September 1, 2026. Background is a blue-tinted image of hands typing on a laptop keyboard.

JAMA Health Forum is seeking editorial fellows for a 1-year, hands-on fellowship program beginning January 1, 2027. Fellows will receive training in the editorial processes & policies of a major health policy & health services journal. 📅 Apply by Sept 1: ja.ma/3T2jAzT

JAMA Health Forum™: Call for Applications: Editorial Fellowship. Due September 1, 2026. A person's hands are typing on a laptop keyboard, overlaid with a blue filter. The JN logo is at the bottom left.

A claims-based model reliably identified Medicare beneficiaries with functional limitations, pinpointing many not captured in administrative data, supporting improved monitoring of functional status by the Centers for Medicare & Medicaid Services. ja.ma/4upglzn

Bar chart displays RMSE for 2-y & 1-y Claims lookback. Y-axis is RMSE, 0-1. X-axis shows 'Random forest algorithm' & 'Linear regression' for 'Within-sample RMSE' and 'Out-of-sample RMSE'. Linear regression consistently shows higher RMSE than Random forest across all conditions.