Medical Cost for Rare Diseases on Par with Cancer, Heart Failure

Healthcare costs for people with a rare disease have been underestimated and are three to five times greater than the costs for people without a rare disease, according to a new, retrospective study of medical and insurance records.

Photo: Anne Pariser, director of the National Institutes of Health’s National Center for Advancing Translational Sciences (NCATS) Office of Rare Diseases Research

The study, published in the Orphanet Journal of Rare Diseases, suggests that nationwide medical costs for individuals with rare diseases are on par with those for cancer and heart failure.

“There needs to be greater public awareness of the large and growing medical footprint of rare diseases in society,” said senior author Anne Pariser, director of the National Institutes of Health’s National Center for Advancing Translational Sciences (NCATS) Office of Rare Diseases Research. “Only about 10 percent of rare diseases have an FDA-approved therapy for their treatment. The findings underscore an urgent need for more research, and earlier and more accurate diagnoses of and interventions for these disorders.”

Individually, most rare diseases might affect only a few hundred to a few thousand people worldwide. However, rare diseases are collectively common, affecting an estimated 25 million to 30 million people in the United States. Many of these diseases have a genetic cause, are serious or life-threatening, and are hard to diagnose and treat.

Pariser and colleagues analyzed patients’ diagnosis information in medical records and billing codes. They used International Classification of Diseases (ICD) codes, which designate a disease diagnosis, and other methods to determine those individuals with rare diseases and their direct medical costs for 14 rare diseases in four health care systems compared to non-rare disease patients of a similar age.

The pilot study aimed to test the feasibility of this approach in analyzing data on rare diseases prevalence and costs. The 14 rare diseases represented a diverse set of disorders that differ in prevalence, organ systems affected, age of onset, clinical course, and availability of an approved treatment or specific ICD code.

The analysis showed wide variations of rare diseases prevalence in the various healthcare systems, which the researchers attributed in part to geographic differences, as well as the use of public versus private insurance, which may include different patient group representation. In addition, some genetic diseases can occur more frequently in certain populations, depending on the demographic make-up of a region.

The team determined approximate medical costs by examining healthcare system data from NCATS and Eversana. In every case, the cost per patient per year for those with a rare disease exceeded costs for non-rare diseases patients of the same age. According to the Eversana healthcare system database, which included estimates from commercial and insurance payors over nearly 15 years, the cost per patient per year ranged from $8,812 to $140,044 for rare diseases patients compared to $5,862 for those without a rare disease. The NCATS data, which drew from estimates mostly from Florida Medicaid information over five years, indicated the cost per patient per year ranged from $4,859 to $18,994 for rare diseases patients versus $2,211 for those without a rare disease.

The team reported that extrapolating the average costs estimate for the approximately 25 to 30 million individuals with rare diseases in the United States would result in total yearly direct medical costs of approximately $400 billion, which is similar to annual direct medical costs for cancer, heart failure, and Alzheimer’s disease.

The researchers noted that analyzing medical records revealed that rare disease patients often share a consistent group of symptoms (e.g., seizures, infections, and developmental delay) and characteristics, which could help clinicians make diagnoses more quickly and begin treatment earlier. Because many individuals are diagnosed with a rare disease at a young age and because most rare diseases are serious conditions, rare disease patients are likely to require more time in the hospital and incur greater medical expenses over a lifetime than those without rare diseases.

Such commonalities among rare disease patients could point to the potential use of machine learning techniques on healthcare system databases to improve diagnoses, said NCATS Acting Director Joni Rutter, a co-author on the study.

“Ultimately, to improve the lives of people with rare diseases,” said Rutter, “we need to find innovative ways, including new technologies, to help shorten the lengthy diagnostic odysseys so many patients and families experience and make more treatments available faster.”

Author: Rare Daily Staff