The Impact of Price Regulation on the Availability of New Drugs in Germany

Ariel Dora Stern; Felicitas  Pietrulla; Annika  Herr; Aaron S. Kesselheim; Ameet  Sarpatwari

Article | Health Affairs | July 2019

The Impact of Price Regulation on the Availability of New Drugs in Germany

by Ariel Dora Stern, Felicitas Pietrulla, Annika Herr, Aaron S. Kesselheim and Ameet Sarpatwari

Abstract

The 2011 German Pharmaceutical Market Restructuring Act (“AMNOG”) subjected branded, non-rare disease drugs to price regulation based on an assessment of their clinical benefit. Assessment outcomes range from “major added benefit” to “less benefit than the appropriate comparator,” and impact price negotiations beyond the first year on the market. Using data on drugs that entered the market from 2012 to 2016, we evaluated benefit assessment findings, subsequent drug exits, and their correlates. We considered 171 drug-indication pairs, corresponding to 138 different drugs. Of these, 66 drug-indication pairs (55 different drugs) were found to have any additional benefit. Almost all drugs with any positive benefit assessment (98%) remained on the market, while drugs without a positive benefit assessment were over ten times more likely to exit (25% vs. 2%). U.S. policymakers considering how to address rapidly increasing drug costs may draw valuable lessons from the German experience.

Keywords: regulation; Pharmaceuticals; healthcare; Health Care and Treatment; Price; Governing Rules, Regulations, and Reforms; Pharmaceutical Industry; Germany;

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Stern, Ariel Dora, Felicitas Pietrulla, Annika Herr, Aaron S. Kesselheim, and Ameet Sarpatwari. "The Impact of Price Regulation on the Availability of New Drugs in Germany." Health Affairs 38, no. 7 (July 2019): 1182–1187.

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Article | JMIR mHealth and uHealth

Assessing the Food and Drug Administration's Risk-Based Framework for Software Precertification with Top Health Apps in the United States: Quality Improvement Study

Noy Alon, Ariel Dora Stern and John Torous

BACKGROUND: As the development of mobile health apps continues to accelerate, the need to implement a framework that can standardize categorizing these apps to allow for efficient, yet robust regulation grows. However, regulators and researchers are faced with numerous challenges as apps have a wide variety of features, constant updates, and fluid use cases for consumers. As past regulatory efforts have failed to match the rapid innovation of these apps, the United States Food and Drug Administration (FDA) has proposed that the Software Precertification (Pre-Cert) Program and new risk-based framework could be the solution. OBJECTIVE: The objective of this study was to determine if the risk-based framework proposed by the FDA's Pre-Cert Program could standardize categorizing top U.S. health apps. METHODS: In this quality improvement study during the summer 2019, the top 10 apps for six disease conditions (addiction, anxiety, depression, diabetes, high blood pressure, and schizophrenia) in the United States Apple iTunes and Android Google Play Store were classified using the FDA's risk-based framework. Data on the presence of well-defined apps features, user engagement methods, popularity metrics, medical claims, and scientific backing were collected. RESULTS: The FDA's risk-based framework classifies an app's risk by the disease condition it targets and what information that app provides. Out of the 120 apps tested, 95 apps were categorized as targeting a non-serious health condition, while only seven targeted a serious condition and 18 apps targeted a critical condition. Since the majority of apps targeted a non-serious condition, their risk categorization was largely determined by what information they provided. The apps that were assessed as not requiring FDA review were more likely than those assessed as requiring review to be associated with the integration of external devices (15/58, 26% vs. 5/62, 8%; P=.03) and health information collection (24/58, 41% vs. 9/62, 15%; P =.008). Apps exempt from review were less likely to offer health information (25/58, 43% vs 45/62, 72%; P <.001), to connect users with professional care (7/58, 12% vs 14/62, 23%; P =.04), and to include an intervention (8/58, 14% vs. 35/62, 55%; P <.001). CONCLUSIONS: The FDA's risk-based framework has the potential to improve the efficiency of the regulatory review process for health apps. However, we were unable to identify a standard measure that differentiated apps requiring regulatory review from those that would not. Apps exempt from review also carried concerns regarding privacy and data security. Before the framework is used to assess the need for formal review of digital health tools, further research and regulatory guidance are needed in order to ensure that the Pre-Cert Program operates in the greatest interest of the public health.

Keywords: mobile health; smartphone; Food and Drug Administration; risk-based framework; Health Care and Treatment; Mobile Technology; Software;

Citation:

Alon, Noy, Ariel Dora Stern, and John Torous. "Assessing the Food and Drug Administration's Risk-Based Framework for Software Precertification with Top Health Apps in the United States: Quality Improvement Study." JMIR mHealth and uHealth 8, no. 10 (October 2020). View Details

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The Impact of Price Regulation on the Availability of New Drugs in Germany

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