Literature DB >> 29392851

Do FDA label changes work? Assessment of the 2010 class label change for proton pump inhibitors using the Sentinel System's analytic tools.

Rachel E Sobel1, Andrew Bate1, James Marshall2, Kevin Haynes3, Nandini Selvam3, Vinit Nair4, Gregory Daniel5, Jeffrey S Brown2, Robert F Reynolds1.   

Abstract

PURPOSE: To pilot use of the US Food and Drug Administration's (FDA's) Sentinel System data and analytic tools by a non-FDA stakeholder through the Innovation in Medical Evidence Development and Surveillance system of the Reagan Udall Foundation. We evaluated the US FDA 2010 proton pump inhibitor (PPI) class label change that warned of increased risk of bone fracture, to use PPIs for the lowest dose and shortest duration, and to manage bone status for those at risk for osteoporosis.
METHODS: The cohort consisted of adults aged 18 years or older prescribed PPIs without fracture risk factors. We evaluated incident and prevalent uses of the 8 PPIs noted in the label change. Outcomes evaluated before and after label change were PPI dispensing patterns, incident fractures, and osteoporosis screening or interventions. Consistent with FDA use of descriptive tools, we did not include direct comparisons or statistical testing.
RESULTS: There were 1 488 869 and 2 224 420 incident PPI users in the before [PRE] and after [POST] periods, respectively. Users with 1 year or more of exposure decreased (8.4% vs 7.5%), as did mean days supplied/user (130.4 to 113.7 d among all users and 830.8 to 645.4 d among users with 1 y or more of exposure). Osteoporosis screening and interventions did not appear to increase, but the proportion of patients with fractures decreased (4.4% vs 3.1%). Prevalent user results were similar.
CONCLUSIONS: This analysis demonstrated the ability to use Sentinel tools to assess the effectiveness of a label change and accompanying communication at the population level and suggests an influence on subsequent dispensing behavior.
Copyright © 2018 John Wiley & Sons, Ltd.

Entities:  

Keywords:  IMEDS; REMS; Sentinel; database; label change; pharmacoepidemiology; proton pump inhibitor; risk minimization evaluation

Mesh:

Substances:

Year:  2018        PMID: 29392851     DOI: 10.1002/pds.4392

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.890


  10 in total

1.  A Novel Approach to Visualize Risk Minimization Effectiveness: Peeping at the 2012 UK Proton Pump Inhibitor Label Change Using a Rapid Cycle Analysis Tool.

Authors:  Rachel E Sobel; William Blackwell; David M Fram; Andrew Bate
Journal:  Drug Saf       Date:  2019-11       Impact factor: 5.606

2.  Evaluation of Switching Patterns in FDA's Sentinel System: A New Tool to Assess Generic Drugs.

Authors:  Joshua J Gagne; Jennifer R Popovic; Michael Nguyen; Sukhminder K Sandhu; Patty Greene; Rima Izem; Wenlei Jiang; Zhong Wang; Yueqin Zhao; Andrew B Petrone; Anita K Wagner; Sarah K Dutcher
Journal:  Drug Saf       Date:  2018-12       Impact factor: 5.606

3.  A rare frameshift variant in trans with the IVS9-5T allele of CFTR in a Chinese pedigree with congenital aplasia of vas deferens.

Authors:  Bin Ge; Mingzhe Zhang; Ruyi Wang; Dejing Wang; Tengyan Li; Hongjun Li; Binbin Wang
Journal:  J Assist Reprod Genet       Date:  2019-11-10       Impact factor: 3.412

Review 4.  Unintended Effects of Communicating About Drug Safety Issues: A Critical Review of the Literature.

Authors:  Jessica T DeFrank; Lauren McCormack; Suzanne L West; Craig Lefebvre; Olivia Burrus
Journal:  Drug Saf       Date:  2019-10       Impact factor: 5.606

Review 5.  Leveraging the Capabilities of the FDA's Sentinel System To Improve Kidney Care.

Authors:  Sruthi Adimadhyam; Erin F Barreto; Noelle M Cocoros; Sengwee Toh; Jeffrey S Brown; Judith C Maro; Jacqueline Corrigan-Curay; Gerald J Dal Pan; Robert Ball; David Martin; Michael Nguyen; Richard Platt; Xiaojuan Li
Journal:  J Am Soc Nephrol       Date:  2020-10-19       Impact factor: 10.121

6.  Evaluation of the Effectiveness of Additional Risk Minimization Measures for Voriconazole in the EU: Findings and Lessons Learned from a Healthcare Professional Survey.

Authors:  Joanna Lem; Muhammad Younus; Jalal A Aram; Shahrzad Moosavi; Klaus Freivogel; Anne Lewis; Rachel E Sobel
Journal:  Pharmaceut Med       Date:  2019-04

7.  Multimodal Analysis of FDA Drug Safety Communications: Lessons from Zolpidem.

Authors:  Aaron S Kesselheim; Michael S Sinha; Eric G Campbell; Sebastian Schneeweiss; Paula Rausch; Brian M Lappin; Esther H Zhou; Jerry Avorn; Gerald J Dal Pan
Journal:  Drug Saf       Date:  2019-11       Impact factor: 5.606

8.  Transnational pharmacogovernance: emergent patterns in the jazz of pharmaceutical policy convergence.

Authors:  Mary Wiktorowicz; Kathy Moscou; Joel Lexchin
Journal:  Global Health       Date:  2018-08-22       Impact factor: 4.185

9.  Artificial Intelligence, Real-World Automation and the Safety of Medicines.

Authors:  Andrew Bate; Steve F Hobbiger
Journal:  Drug Saf       Date:  2020-10-07       Impact factor: 5.606

10.  Interrupted Time Series Analysis of Changes in Zolpidem Use Due to Media Broadcasts.

Authors:  Bo-Ram Yang; Kyu-Nam Heo; Yun Mi Yu; Ga-Bin Yeom; Hye Duck Choi; Ju-Yeun Lee; Young-Mi Ah
Journal:  Int J Environ Res Public Health       Date:  2021-05-12       Impact factor: 3.390

  10 in total

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