Diagnostic mistakes are the most frequent medical error as well as the most serious, according to researchers from Johns Hopkins Medicine in Baltimore, MD. Between 40,000 and 80,000 deaths in United States hospitals each year might be related to misdiagnosis, according to a new study. Misdiagnosis may also play a role in 80,000–160,000 serious cases of harm to people’s health each year.

 

To see which conditions doctors are most likely to misdiagnose and which may lead to death or disability, researchers analyzed over 11,000 cases from an extensive database of U.S. malpractice claims. The findings now appear in the journal Diagnosis.

 

“We know that diagnostic errors happen across all areas of medicine,” explains first study author Dr. David Newman-Toker, Ph.D., director of the Johns Hopkins Armstrong Institute Center for Diagnostic Excellence.

 

“There are over 10,000 diseases,” he goes on, “each of which can manifest with a variety of symptoms, so it can be daunting to think about how to even begin tackling diagnostic problems.”

 

However, the team’s technique aimed to do something different. They classified the conditions according to a standard system, yet the grouping that followed was a new strategy.

 

“There are dozens of different diagnosis ‘codes’ that all represent strokes. The same is true for heart attacks and some of the other conditions as well,” says Dr. Newman-Toker. “These differences often matter more for treatment than diagnosis.”

 

“To my knowledge,” he explains, “grouping these codes together to identify the most common harms from diagnostic error had not been done before, but doing so gives us an ‘apples to apples’ comparison of the frequency of different diseases causing harms.”

 

The team saw that a “surprisingly small number of conditions” corresponded to the most significant diagnostic errors.

 

Three types of conditions were responsible for nearly three-quarters of all serious harm related to misdiagnosis: infections, cancers, and vascular events. Combined, the researchers call these the “big three.”

 

The scientists studied the severity and frequency of diagnostic errors in these conditions, along with where these faults took place. Over one-third of the errors leading to death or permanent disability were linked to cancers. This figure reduced to 22% for vascular issues and 13.5% for infections.

 

Researchers broke down the “big three” into 15 specific conditions whose misdiagnosis often resulted in serious harm. Lung cancer, stroke, and sepsis ranked at the top.

 

The other conditions included heart attacks, meningitis, pneumonia, blood clots in the legs and lungs, and cancers of the skin, prostate, and breast.

 

Most errors occurred during an emergency situation or in an outpatient setting. Cancer-related issues tended to occur in the latter location, while vascular and infection issues tended to occur in emergency departments.

 

“These findings give us a road map for thinking about what kind of problems we need to solve in which clinical settings,” notes Dr. Newman-Toker.

 

The researchers’ findings also showed the cause of most misdiagnoses: clinical judgment failures. According to the team, there are several ways to combat this problem, including improving teamwork skills and education, using technology to assist with diagnosis, and giving patients quicker access to medical specialists.

 

However, the analysis did have a few limitations. The researchers addressed two of them—one suggesting a bias toward malpractice claims that are easier to bring forward, such as cancer, and another involving the dismissal of long-term conditions that also cause serious harm.

 

The team corrected these biases by further analyzing previous studies that used data unrelated to malpractice claims. This strengthened the validity of the “big three” findings but shifted the results to show vascular events and infections as the most prominent.

 

However, some limitations could not be fixed. The analysis was based on malpractice cases rather than original medical records, which may reduce accuracy and make the results difficult to apply to real-world settings where not all misdiagnoses result in legal claims.

 

Future research could address these issues. In fact, Dr. Newman-Toker and his colleagues plan to continue focusing on misdiagnosis and eventually use a national dataset to estimate how many people in the United States are negatively affected by diagnostic mistakes.

 

Before that, the researchers plan to take a deeper look into the “big three.” Specifically, they want to examine the 15 conditions identified in these categories and determine how often doctors misdiagnose them.