By studying medical and insurance records indicates health care costs for people with a rare disease, researchers have found that these have been underestimated and are three to five times greater than the costs for people without a rare disease.
The findings, appearing in the Orphanet Journal of Rare Diseases, provides new evidence of the impact rare diseases could have on public health, suggesting that 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, MD, director of the NCATS Office of Rare Diseases Research. “Only about 10% 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.”
Most of the 7000 to 10 000 known rare diseases disproportionately affect children, adolescents and young adults. Individually, most rare diseases might affect only a few hundred to a few thousand people around the world. Rare diseases however are collectively common, affecting an estimated 4% of the world’s population. Many of these diseases have a genetic cause, are serious or life-threatening and are hard to diagnose and treat.
The pilot study 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 14 rare diseases represented a diverse set of disorders differing in prevalence, organ systems affected, age of onset, clinical course, and availability of an approved treatment or specific ICD code. These rare diseases include sickle cell disease, muscular dystrophy and eosinophilic esophagitis.
The analysis showed wide variations of rare diseases prevalence in the different health care systems, possibly due in part to geographic differences, as well as the use of public versus private insurance, which may include different patient group representation. Some genetic diseases can also have a higher prevalence in certain regions, due to demographic make-up.
With the Eversana health care system database, the cost per patient per year (PPPY) for those with a rare disease, ranged from $8 812 to $140 044 for rare diseases patients compared to $5862 for those without a rare disease. The NCATS data indicated PPPY costs ranging from $4859 to $18 994 for rare diseases patients versus $2211 for those without a rare disease.
Using patient medical records, the researchers also traced the diagnostic journeys of four people with a rare disease, including two individuals who had a form of Batten disease, an inherited neurological disorder, and two others with cystic fibrosis. These journeys provided detailed descriptions of direct medical costs, such as for hospitalisations and procedures for these diseases, and provided insights into patient clinical management before and after disease diagnosis.
Analysis of medical records also revealed that rare diseases patients often shared commanilities in symptoms (eg, seizures, infections, and developmental delay) and characteristics, which could aid in earlier diagnosis and treatmen. As many receive a rare disease diagnosis at a young age and because most rare diseases are serious conditions, rare disease patients are likely to require hospital time and incur greater medical expenses over a lifetime.
Such commonalities among rare disease patients could point to the potential use of machine learning techniques on health care system databases to improve diagnoses, said study co-author Joni L. Rutter, PhD, NCATS Acting Director.
The researchers would also like to determine whether these methodologies could be scaled to thousands of other known rare diseases.
“Ultimately, to improve the lives of people with rare diseases,” said Dr 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.”
Source: National Center for Advancing Translational Sciences