Investing in Drug Safety Monitoring could Avoid Complications - and Save Medical Costs

Increased investment in "pharmacovigilance surveillance" - systems to proactively monitor safety problems with new medications - has the potential to avoid harmful drug effects while lowering healthcare costs, according to a study in the June issue of Medical Care. The journal is published by Wolters Kluwer.

Three recent cases in which serious safety issues led to medication withdrawals illustrate the potential return on investment of building a more effective pharmacovigilance surveillance system, according to the report by Krista F. Huybrechts, PhD, of Brigham and Women's Hospital, Boston, and colleagues. They write, "Our analyses demonstrate a pivotal and economically justifiable role for active pharmacovigilance in protecting the health of the public."

Detecting 'Early Signals' Could Have Avoided Drug Adverse Events The researchers analyzed three important instances of major adverse drug events that led to medications being taken off the market. In each case, early signs of medication safety hazards could have been picked up from clinical trials and/or spontaneous reports. However, these problems went unrecognized, with continued patient exposure leading to avoidable complications and costs.

The highest-profile example was the "COX2 inhibitor" rofecoxib (marketed as Vioxx), widely used for arthritis treatment. In more than five years on the market, approximately 105 million rofecoxib prescriptions were filled by US patients. Over time, it became clear that this medication was associated with a substantially increased risk of acute myocardial infarction (heart attack).

But this adverse effect could have been detected as early as one year after rofecoxib appeared on the market, based on analyses of actual healthcare utilization data available at the time. Early signal detection based on active pharmacovigilance surveillance could have averted 27,500 myocardial infarctions, Dr. Huybrechts and colleagues estimate.

In the other two cases, active surveillance might have avoided 190 cases of a rare but serious complication called rhabdomyolysis in patients taking the cholesterol-lowering drug cerivastatin (Baycol); and 264 cases of liver failure attributable to the diabetes drug troglitazone (Rezulin). The authors note that there were questions about the true benefits of all three drugs, and that other treatment options were available.

Earlier recognition of these safety issues could have resulted in savings in direct medical costs of $773 to $884 million for rofecoxib, $3 to $10 million for cerivastatin, and $38 to $63 million for troglitazone. Those figures don't consider indirect financial costs such as missed work time - not to mention the human costs of experiencing a potentially serious complication.

The researchers believe their findings illustrate the potential return on investment in pharmacovigilance surveillance programs--a function that is historically "overburdened and under-funded." In the United States, investment in pharmacovigilance is estimated at about $42.5 million per year.

While the frequency of new drug safety concerns is unpredictable, "It is clear that major adverse drug events are not rare," Dr. Dr. Huybrechts and coauthors write. "Investment in active drug surveillance offers protection against the occurrence of such events, which are bound to recur."

Huybrechts KF, Desai RJ, Park M, Gagne JJ, Najafzadeh M, Avorn J.
The Potential Return on Public Investment in Detecting Adverse Drug Effects.
Med Care. 2017 Jun;55(6):545-551, doi: 10.1097/MLR.0000000000000717.

Most Popular Now

Unlocking the 10 Year Health Plan

The government's plan for the NHS is a huge document. Jane Stephenson, chief executive of SPARK TSL, argues the key to unlocking its digital ambitions is to consider what it...

Alcidion Grows Top Talent in the UK, wit…

Alcidion has today announced the addition of three new appointments to their UK-based team, with one internal promotion and two external recruits. Dr Paul Deffley has been announced as the...

AI can Find Cancer Pathologists Miss

Men assessed as healthy after a pathologist analyses their tissue sample may still have an early form of prostate cancer. Using AI, researchers at Uppsala University have been able to...

New Training Year Starts at Siemens Heal…

In September, 197 school graduates will start their vocational training or dual studies in Germany at Siemens Healthineers. 117 apprentices and 80 dual students will begin their careers at Siemens...

AI, Full Automation could Expand Artific…

Automated insulin delivery (AID) systems such as the UVA Health-developed artificial pancreas could help more type 1 diabetes patients if the devices become fully automated, according to a new review...

How AI could Speed the Development of RN…

Using artificial intelligence (AI), MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies. After training...

MIT Researchers Use Generative AI to Des…

With help from artificial intelligence, MIT researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA). Using generative AI algorithms, the research...

AI Hybrid Strategy Improves Mammogram In…

A hybrid reading strategy for screening mammography, developed by Dutch researchers and deployed retrospectively to more than 40,000 exams, reduced radiologist workload by 38% without changing recall or cancer detection...

Are You Eligible for a Clinical Trial? C…

A new study in the academic journal Machine Learning: Health discovers that ChatGPT can accelerate patient screening for clinical trials, showing promise in reducing delays and improving trial success rates. Researchers...

Penn Developed AI Tools and Datasets Hel…

Doctors treating kidney disease have long depended on trial-and-error to find the best therapies for individual patients. Now, new artificial intelligence (AI) tools developed by researchers in the Perelman School...

Global Study Reveals How Patients View M…

How physicians feel about artificial intelligence (AI) in medicine has been studied many times. But what do patients think? A team led by researchers at the Technical University of Munich...

New AI Tool Addresses Accuracy and Fairn…

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms...