Leila Lackey1,2, Graham Thompson3, Sara Eggers3. 1. Center for Drug Evaluation and Research (CDER), Food and Drug Administration (FDA), Silver Spring, USA. leila.lackey@fda.hhs.gov. 2. , 10903 New Hampshire Ave, WO Bldg 51 Rm 1141, Silver Spring, MD, 20993, USA. leila.lackey@fda.hhs.gov. 3. Center for Drug Evaluation and Research (CDER), Food and Drug Administration (FDA), Silver Spring, USA.
Abstract
BACKGROUND: Structured, descriptive approaches are utilized by drug regulatory agencies to support and communicate approval decisions about human drugs and biologics. The US Food and Drug Administration (FDA) uses the Benefit-Risk Framework (BRF), which has been integrated into its drug review process. This paper reviews how FDA review teams have used the BRF to communicate approval decisions. METHODS: This paper (1) uses content analysis to systematically review the decision factors communicated by FDA review teams in all BRFs associated with novel drugs approved by FDA in 2017-2018 and (2) presents a case study about how the BRF was used for three drugs approved for HIV-1 in 2018-2019. RESULTS: The content analysis found most BRFs for novel drug approvals communicate what we call an "urgent" context and complicating decision factors around benefit and/or risk; the HIV-1 case study highlights the flexibility of the structured BRF tool. CONCLUSIONS: FDA's BRF provides a flexible mechanism for communicating important decision factors, allowing it to support the diversity of drug approval decisions made by FDA.
BACKGROUND: Structured, descriptive approaches are utilized by drug regulatory agencies to support and communicate approval decisions about human drugs and biologics. The US Food and Drug Administration (FDA) uses the Benefit-Risk Framework (BRF), which has been integrated into its drug review process. This paper reviews how FDA review teams have used the BRF to communicate approval decisions. METHODS: This paper (1) uses content analysis to systematically review the decision factors communicated by FDA review teams in all BRFs associated with novel drugs approved by FDA in 2017-2018 and (2) presents a case study about how the BRF was used for three drugs approved for HIV-1 in 2018-2019. RESULTS: The content analysis found most BRFs for novel drug approvals communicate what we call an "urgent" context and complicating decision factors around benefit and/or risk; the HIV-1 case study highlights the flexibility of the structured BRF tool. CONCLUSIONS: FDA's BRF provides a flexible mechanism for communicating important decision factors, allowing it to support the diversity of drug approval decisions made by FDA.
Entities:
Keywords:
Benefit–risk assessment; Content analysis; Decision-making; FDA; HIV
Authors: Bethea A Kleykamp; Robert H Dworkin; Dennis C Turk; Zubin Bhagwagar; Penney Cowan; Christopher Eccleston; Susan S Ellenberg; Scott R Evans; John T Farrar; Roy L Freeman; Louis P Garrison; Jennifer S Gewandter; Veeraindar Goli; Smriti Iyengar; Alejandro R Jadad; Mark P Jensen; Roderick Junor; Nathaniel P Katz; J Patrick Kesslak; Ernest A Kopecky; Dmitri Lissin; John D Markman; Michael P McDermott; Philip J Mease; Alec B O'Connor; Kushang V Patel; Srinivasa N Raja; Michael C Rowbotham; Cristina Sampaio; Jasvinder A Singh; Ilona Steigerwald; Vibeke Strand; Leslie A Tive; Jeffrey Tobias; Ajay D Wasan; Hilary D Wilson Journal: Pain Date: 2021-09-09 Impact factor: 7.926