Debt and delayed care forecast for some who lose insurance under tax and spending law
- Researchers say delayed treatments, canceled doctor visits, and skipped prescriptions will increase because of the tax and spending bill signed into law by President Donald Trump earlier this summer.
- The Congressional Budget Office forecasts that the U.S. uninsured population will grow by 10 million in 2034 due to the tax and spending bill signed into law by President Donald Trump.
- About 2.5 million people may no longer have a personal doctor due to the loss of coverage, as forecasted by the Congressional Budget Office.
- The lack of care may cause nearly 22,000 deaths annually, as experts state that taking health care away from 10 million people will lead to many preventable deaths.
52 Articles
52 Articles
Rosen: 40K Nevadans could lose health insurance as tax credits expire
LAS VEGAS (KLAS) -- About 40,000 Nevadans could lose their health care as insurance tax credits are set to expire in just weeks, Democratic Nevada Sen. Jacky Rosen warned Friday. The credits, part of the Affordable Care Act, became law during former President Barack Obama’s first term. The credits lower the cost for health care plans purchased on health care exchanges. On average, the credits save Americans about $700 a year, according to the Ce…

Debt and delayed care forecast for some who lose insurance under tax and spending law
Delayed treatments, canceled doctor visits and skipped prescriptions: Researchers say all will increase because of the tax and spending bill signed into law by President Donald Trump earlier this summer.
Debt and delayed care forecast for some who lose insurance under tax and spending law - Regional Media News
Delayed treatments, canceled doctor visits, skipped prescriptions. Losing insurance is bad for your health. The Congressional Budget Office forecasts that the U.S. uninsured population will grow by 10 million in 2034, due to the tax and spending bill signed into law by President Donald Trump. And, thanks to a natural experiment nearly two decades ago, researchers can forecast what that will mean for patient care. Among the problems they predict …
Coverage Details
Bias Distribution
- 62% of the sources are Center
Factuality
To view factuality data please Upgrade to Premium