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Home Financial Markets

Prescriptions Cause Inflation?

Daily Remedy by Daily Remedy
September 6, 2022
in Financial Markets
0
Prescriptions Cause Inflation?

We all like stories. But we love stories that reinforce what we already believe. In fact, we are quite enamored by them.

So when we hear how pharmaceutical companies are setting exorbitantly high drug prices that are contributing to inflation, we cannot help but believe it. Such stories reinforce our preexisting perceptions of the pharmaceutical industry. But like most stories, it is a combination of both fact and fiction.

An analysis of pharmaceutical drug pricing found brand-name drug makers increased their wholesale prices by 4.4 percent in the last quarter of 2021, up slightly from 3.8 percent a year earlier. But when accounting for inflation, wholesale prices fell by 2.3 percent.

So which one is it? Did drug prices help spur inflation, or because of inflation, did drug prices actually fall when accounting for purchasing parity across all industries? We will likely never know because economics is an imprecise science. It relies heavily on correlations to draw conclusions. And the thing about correlations is that they work both ways – a cause can be an effect just as much as an effect can be a cause.

It is a matter of interpretation. We can interpret drug prices, as high as they are, to have caused – at least in part – upward inflationary pressures. And we can interpret drug prices to have been adversely affected by broader inflationary trends.

To settle the matter, perhaps we should look at drug pricing and the pharmaceutical industry’s impact on inflation. This might contextualize the impact of the pharmaceutical industry and determine what is a cause and what is an effect.

A robust analysis by the Kaiser Family Foundation (KFF) found half of all Part D covered drugs (50 percent of 3,343 drugs) and nearly half of all Part B covered drugs (48 percent of 568 drugs) had price increases greater than inflation between July 2019 and July 2020, when it was 1.0 percent.

Among the 1,947 Medicare-covered drugs with price increases above the rate of inflation in 2020, one-third (668 drugs) had price increases of 7.5 percent or more – which is the current annual inflation rate.

Clearly, the data skews both ways, and is more complicated than it would appear at first blush. This happens when we look at data individually and in aggregate. The averages often tell different stories than the individual data would suggest. Individually, we see a substantial portion of drugs had price increases. But as a whole, the average drug price decreased.

Consumer prices for drugs fell 1.8 percent in the 12 months ending in April 2020, and in April 2022, they were 3.1 percent below a peak in December 2019. Importantly, as The Hill reports from data derived through the Bureau of Labor Statistics, drug prices are similar to those of summer 2017, which would indicate drug prices have had a negligible effect on inflation.

As inconvenient as this may seem for those looking to blame big pharma, the reality is drug prices have had little impact on inflation over recent years and likely no affect on the current inflationary surge.

In healthcare, we set prices in advance, either administratively through government programs such as Medicare and Medicaid, or through contracts between physician associations and insurers. These prices are fixed for at least a year, creating delays in how the healthcare industry can respond to pricing pressures from inflation.

But in the coming months, we will see how the current inflation trends affect healthcare, as insurers set premiums for 2023. Only then will we get a better sense of cost trends, including the cost of labor and the cost of goods, like prescription drugs.

But to say the current inflation rates are due to prescription drug prices is glaringly dishonest. Inflation is measured by the consumer price index, which measures how much consumers pay for goods. We have seen no change in healthcare costs over the past few months because such costs only change annually and only at fixed intervals.

Therefore, inflation in healthcare is not a trend; it is a discrete set of changes that occurs over deadlines set by the government through administrative contracts. When such data is analyzed, year over year, we see at no point, even in the present, did healthcare inflation ever reach the current levels of 7.5 percent. In fact, most recent estimates have it at 4.54 percent, well below the national trend.

Perhaps this is the story we should tell. Not the one of greedy pharmaceutical companies causing inflation, but the one of healthcare costs being well below national averages.

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Daily Remedy

Dr. Jay K Joshi serves as the editor-in-chief of Daily Remedy. He is a serial entrepreneur and sought after thought-leader for matters related to healthcare innovation and medical jurisprudence. He has published articles on a variety of healthcare topics in both peer-reviewed journals and trade publications. His legal writings include amicus curiae briefs prepared for prominent federal healthcare cases.

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In this episode, the host discusses the significance of large language models (LLMs) in healthcare, their applications, and the challenges they face. The conversation highlights the importance of simplicity in model design and the necessity of integrating patient feedback to enhance the effectiveness of LLMs in clinical settings.

Takeaways
LLMs are becoming integral in healthcare.
They can help determine costs and service options.
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Simplicity in LLMs is often more effective than complexity.
Patient behavior should guide LLM development.
Integrating patient feedback is crucial for accuracy.
Pre-training models with patient input enhances relevance.
Healthcare providers must understand LLM limitations.
The best LLMs will focus on patient-centered care.

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00:00 Introduction to LLMs in Healthcare
05:16 The Importance of Simplicity in LLMs
The Future of LLMs in HealthcareDaily Remedy
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Health systems are increasingly deploying ambient artificial intelligence tools that listen to clinical encounters and automatically generate draft visit notes. These systems are intended to reduce documentation burden and allow clinicians to focus more directly on patient interaction. At the same time, they raise unresolved questions about patient consent, data handling, factual accuracy, and legal responsibility for machine‑generated records. Recent policy discussions and legal actions suggest that adoption is moving faster than formal oversight frameworks. The practical clinical question is...

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