News | August 12, 2007

Less Than Half of Americans Fully Satisfied with Medical Care

August 13, 2007 — Only 48 percent of Americans age 18 and over who had gone to a doctor or medical clinic within a year of being surveyed rated their healthcare 9 or 10 on a scale in which 0 was the worst possible care and 10 the best, according to the latest News and Numbers from the Agency for Healthcare Research and Quality.

Patients' perceptions of quality varied by race, ethnicity, and type of insurance.

Only about a third of Asians (31 percent) and American Indians and Alaska Natives (37 percent) rated their care a 9 or 10, compared with less than half of whites (49 percent) and blacks (46 percent). Just 43 percent of Hispanics reported that they were receiving high quality healthcare.

Slightly less than 60 percent of people age 65 and older who have Medicare, with or without additional private or public health insurance, rated their care the highest, compared with 46 percent of privately insured patients and 39 percent of uninsured Americans.

Men and women rated were nearly equal in how they viewed the quality of their care, respectively, 46 percent and 49 percent saw their care as excellent.

This AHRQ News and Numbers is based on data from the 2006 National Healthcare Quality Report, which examines the quality of healthcare across America in four key areas - effectiveness of healthcare, patient safety, timeliness of care, and patient centeredness.

For more information: www.ahrq.gov

Related Content

Artificial Intelligence Performs As Well As Experienced Radiologists in Detecting Prostate Cancer
News | Artificial Intelligence | April 18, 2019
University of California Los Angeles (UCLA) researchers have developed a new artificial intelligence (AI) system to...
A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images

A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images. The algorithm, described at the SBI/ACR Breast Imaging Symposium, used “Deep Learning,“ a form of machine learning, which is a type of artificial intelligence. Graphic courtesy of Sarah Eskreis-Winkler, M.D.

Feature | Artificial Intelligence | April 12, 2019 | By Greg Freiherr
The use of smart algorithms has the potential to make healthcare more efficient.
Videos | RSNA | April 03, 2019
ITN Editor Dave Fornell takes a tour of some of the most interesting new medical imaging technologies displa
NIH Study of Brain Energy Patterns Provides New Insights into Alcohol Effects

NIH scientists present a new method for combining measures of brain activity (left) and glucose consumption (right) to study regional specialization and to better understand the effects of alcohol on the human brain. Image courtesy of Ehsan Shokri-Kojori, Ph.D., of NIAAA.

News | Neuro Imaging | March 22, 2019
March 22, 2019 — Assessing the patterns of energy use and neuronal activity simultaneously in the human brain improve
Book Chapter Reports on Fonar Upright MRI for Hydrocephalus Imaging

Rotary misalignment of atlas (C1) and axis (C2). Image courtesy of Scott Rosa, DC, BCAO.

News | Magnetic Resonance Imaging (MRI) | March 20, 2019
Fonar Corp. reported publication of a chapter where the physician-author-researchers utilized the Fonar Upright Multi-...
Non-Contrast MRI Effective in Monitoring MS Patients
News | Neuro Imaging | March 18, 2019
Brain magnetic resonance imaging (MRI) without contrast agent is just as effective as the contrast-enhanced approach...
New MRI Sensor Can Image Activity Deep Within the Brain
News | Magnetic Resonance Imaging (MRI) | March 15, 2019
Calcium is a critical signaling molecule for most cells, and it is especially important in neurons. Imaging calcium in...