Texans are the most likely people in the nation to avoid going to the doctor due to cost, the report found. Photo via Getty Images

A new Forbes Advisor study shedding light on Americans' top financial worries has revealed Texas has the fifth highest health care costs in the nation.

Forbes Advisor's annual report compared all 50 states and Washington, D.C. across nine different metrics to determine which states have the most and least expensive health care costs in 2024.

Factors include the average annual deductibles and premiums for employees using single and family coverage through employer-provided health insurances and the percentage of adults who chose not to see a health care provider due to costs within the last year, among others. Each state was ranked based on its score out of a total 100 possible points.

Texas was No. 5 with a score of 91.38 points. North Carolina was No. 1, followed in order by South Dakota, Nebraska, and Florida.

According to Forbes, out-of-state families considering a move to the Lone Star State should be aware of the state's troubling statistics when it comes to family health care. More specifically, nearly 15 percent of Texas children had families who struggled to pay for their medical bills in the past 12 months, the highest percentage in the nation.

Furthermore, Texans have the highest likelihood in the U.S. to skip seeing a doctor because of cost. The report showed 16 percent of Texas adults chose not to see a doctor in the past 12 months due to the cost of health care.

"Unexpected medical bills and the cost of health care services are the top two financial worries for Americans this year, according to a recent KFF health tracking poll," the report said. "These financial fears have real-world consequences. The high cost of healthcare is leading some Americans to make tough choices—often at the expense of their health."

In the category for the percentage of adults who reported 14 or more "mentally unhealthy" days out of a month, who could not seek health care services due to cost, Texas ranked No. 3 in the U.S. with 31.5 percent of adults experiencing these issues.

The report also highlighted the crystal clear inequality in the distribution of health care costs across the U.S.

"In some states, residents face much steeper health care expenses, including higher premiums and deductibles, which make them more likely to delay medical care due to costs," the report said.

For example, Texas' average annual premiums for both plus-one health insurance coverage ($4,626, according to the study) and family coverage ($7,051.33) through employer-provided policies was the No. 4-highest in the nation.

Elsewhere in the U.S.

The state with the most expensive health care costs is North Carolina, with a score of 100 points. 27 percent of adults in North Carolina reported struggling with their mental health who could not seek a doctor due to cost, and 11.3 percent of all adults in the state chose not to see a doctor within the last 12 months because of costs.

Hawaii (No. 50) is the state with the least expensive health care costs, according to Forbes. Hawaii had the lowest percentages of adults struggling with mental health (11.6 percent) and adults who chose not to see a doctor within the last year (5.7 percent). The average annual premium for employees in Hawaii using a family coverage plan through employer-provided health insurance is $5,373.67, and the average annual deductible for the same family coverage plan is $3,115.

The top 10 states with the most expensive health care are:

  • No. 1 – North Carolina
  • No. 2 – South Dakota
  • No. 3 – Nebraska
  • No. 4 – Florida
  • No. 5 – Texas
  • No. 6 – South Carolina
  • No. 7 – Arizona
  • No. 8 – Georgia
  • No. 9 – New Hampshire
  • No. 10 – Louisiana

The full report and its methodology can be found on forbes.com.

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This article originally ran on CultureMap.

Texas ranks worst in the nation for access to health care. Getty Images/fstop123

New study rates Texas among the 10 worst states for health care

Time for a checkup

Health care is already one of the hottest topics in the country, and a new study comparing systems at the state level offers even more to talk about — especially in Texas, which is rated one of the worst in the country.

Personal finance website WalletHub compared all 50 states and the District of Columbia in terms of access, outcomes, and costs to determine the best and worst states for health care. Texas ranks 43rd, the ninth-worst in the nation, for 2019.

The Lone Star State lands in the bottom half of the rankings for all of the aforementioned categories, coming in dead last, No. 51, for access to health care.

Texas has the lowest rates of insured children and adults in the nation, according to the study, as well as consistently low numbers of physicians, physician's assistants, and nurse practitioners per capita, all of which fall in the lowest quadrant of states studied. Alarmingly, Texas also has one of the worst EMS response times, 8.37 minutes, but it ranks surprisingly well for retaining medical residents, No. 5 overall.

Texas does slightly better, 38th, in outcomes, which considers such factors as infant mortality rate, life expectancy, and the share of patients readmitted to hospitals after being discharged. For all of those factors, the state receives middle-of-the-road rankings.

When it comes to costs, however, Texas has a couple of redeeming rankings. The Lone Star State is No. 28 overall, but it boasts the country's eighth-lowest cost of a medical visit ($97.99) and the 16th lowest average monthly insurance premium ($544). Offsetting those are its No. 32 ranking for share of out-of-pocket medical spending (11 percent) and No. 43 ranking for share of adults who haven't seen a doctor because of the cost (19 percent).

The best health care in the country, says WalletHub, is available in Minnesota. At the very bottom of the list is Alaska, the worst state for health care in 2019.

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This story originally appeared on CultureMap.com.

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Houston doctor wins NIH grant to test virtual reality for ICU delirium

Virtual healing

Think of it like a reverse version of The Matrix. A person wakes up in a hospital bed and gets plugged into a virtual reality game world in order to heal.

While it may sound far-fetched, Dr. Hina Faisal, a Houston Methodist critical care specialist in the Department of Surgery, was recently awarded a $242,000 grant from the National Institute of Health to test the effects of VR games on patients coming out of major surgery in the intensive care unit (ICU).

The five-year study will focus on older patients using mental stimulation techniques to reduce incidences of delirium. The award comes courtesy of the National Institute on Aging K76 Paul B. Beeson Emerging Leaders Career Development Award in Aging.

“As the population of older adults continues to grow, the need for effective, scalable interventions to prevent postoperative complications like delirium is more important than ever,” Faisal said in a news release.

ICU delirium is a serious condition that can lead to major complications and even death. Roughly 87 percent of patients who undergo major surgery involving intubation will experience some form of delirium coming out of anesthesia. Causes can range from infection to drug reactions. While many cases are mild, prolonged ICU delirium may prevent a patient from following medical advice or even cause them to hurt themselves.

Using VR games to treat delirium is a rapidly emerging and exciting branch of medicine. Studies show that VR games can help promote mental activity, memory and cognitive function. However, the full benefits are currently unknown as studies have been hampered by small patient populations.

Faisal believes that half of all ICU delirium cases are preventable through VR treatment. Currently, a general lack of knowledge and resources has been holding back the advancement of the treatment.

Hopefully, the work of Faisal in one of the busiest medical cities in the world can alleviate that problem as she spends the next half-decade plugging patients into games to aid in their healing.

Houston scientists develop breakthrough AI-driven process to design, decode genetic circuits

biotech breakthrough

Researchers at Rice University have developed an innovative process that uses artificial intelligence to better understand complex genetic circuits.

A study, published in the journal Nature, shows how the new technique, known as “Combining Long- and Short-range Sequencing to Investigate Genetic Complexity,” or CLASSIC, can generate and test millions of DNA designs at the same time, which, according to Rice.

The work was led by Rice’s Caleb Bashor, deputy director for the Rice Synthetic Biology Institute and member of the Ken Kennedy Institute. Bashor has been working with Kshitij Rai and Ronan O’Connell, co-first authors on the study, on the CLASSIC for over four years, according to a news release.

“Our work is the first demonstration that you can use AI for designing these circuits,” Bashor said in the release.

Genetic circuits program cells to perform specific functions. Finding the circuit that matches a desired function or performance "can be like looking for a needle in a haystack," Bashor explained. This work looked to find a solution to this long-standing challenge in synthetic biology.

First, the team developed a library of proof-of-concept genetic circuits. It then pooled the circuits and inserted them into human cells. Next, they used long-read and short-read DNA sequencing to create "a master map" that linked each circuit to how it performed.

The data was then used to train AI and machine learning models to analyze circuits and make accurate predictions for how untested circuits might perform.

“We end up with measurements for a lot of the possible designs but not all of them, and that is where building the (machine learning) model comes in,” O’Connell explained in the release. “We use the data to train a model that can understand this landscape and predict things we were not able to generate data on.”

Ultimately, the researchers believe the circuit characterization and AI-driven understanding can speed up synthetic biology, lead to faster development of biotechnology and potentially support more cell-based therapy breakthroughs by shedding new light on how gene circuits behave, according to Rice.

“We think AI/ML-driven design is the future of synthetic biology,” Bashor added in the release. “As we collect more data using CLASSIC, we can train more complex models to make predictions for how to design even more sophisticated and useful cellular biotechnology.”

The team at Rice also worked with Pankaj Mehta’s group in the department of physics at Boston University and Todd Treangen’s group in Rice’s computer science department. Research was supported by the National Institutes of Health, Office of Naval Research, the Robert J. Kleberg Jr. and Helen C. Kleberg Foundation, the American Heart Association, National Library of Medicine, the National Science Foundation, Rice’s Ken Kennedy Institute and the Rice Institute of Synthetic Biology.

James Collins, a biomedical engineer at MIT who helped establish synthetic biology as a field, added that CLASSIC is a new, defining milestone.

“Twenty-five years ago, those early circuits showed that we could program living cells, but they were built one at a time, each requiring months of tuning,” said Collins, who was one of the inventors of the toggle switch. “Bashor and colleagues have now delivered a transformative leap: CLASSIC brings high-throughput engineering to gene circuit design, allowing exploration of combinatorial spaces that were previously out of reach. Their platform doesn’t just accelerate the design-build-test-learn cycle; it redefines its scale, marking a new era of data-driven synthetic biology.”