Dataset Information

New and incremental FDA black box warnings from 2008 to 2015.

ABSTRACT: The boxed warning (also known as 'black box warning [BBW]') is one of the strongest drug safety actions that the U.S. Food & Drug Administration (FDA) can implement, and often warns of serious risks. The objective of this study was to comprehensively characterize BBWs issued for drugs after FDA approval.We identified all post-marketing BBWs from January 2008 through June 2015 listed on FDA's MedWatch and Drug Safety Communications websites. We used each drug's prescribing information to classify its BBW as new, major update to a preexisting BBW, or minor update. We then characterized these BBWs with respect to pre-specified BBW-specific and drug-specific features.There were 111 BBWs issued to drugs on the US market, of which 29% (n = 32) were new BBWs, 32% (n = 35) were major updates, and 40% (n = 44) were minor updates. New BBWs and major updates were most commonly issued for death (51%) and cardiovascular risk (27%). The new BBWs and major updates impacted 200 drug formulations over the study period, of which 64% were expected to be used chronically and 58% had available alternatives without a BBW.New BBWs and incremental updates to existing BBWs are frequently added to drug labels after regulatory approval.

SUBMITTER: Solotke MT

PROVIDER: S-EPMC6013049 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature

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New and incremental FDA black box warnings from 2008 to 2015.

Solotke Michael T MT Dhruva Sanket S SS Downing Nicholas S NS Shah Nilay D ND Ross Joseph S JS

Expert opinion on drug safety 20171217 2

<h4>Background</h4>The boxed warning (also known as 'black box warning [BBW]') is one of the strongest drug safety actions that the U.S. Food & Drug Administration (FDA) can implement, and often warns of serious risks. The objective of this study was to comprehensively characterize BBWs issued for drugs after FDA approval.<h4>Methods</h4>We identified all post-marketing BBWs from January 2008 through June 2015 listed on FDA's MedWatch and Drug Safety Communications websites. We used each drug's ...[more]

PMID: 29215916

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Project description:BackgroundSocial media has become a new source for obtaining real-world data on adverse drug reactions. Many studies have investigated the use of social media to detect early signals of adverse drug reactions. However, the trustworthiness of signals derived from social media is questionable. To confirm this, a confirmatory study with a positive control (eg, new black box warnings, labeling changes, or withdrawals) is required.ObjectiveThis study aimed to evaluate the use of social media in detecting new black box warnings, labeling changes, or withdrawals in advance.MethodsThis scoping review adhered to the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews checklist. A researcher searched PubMed and EMBASE in January 2021. Original studies analyzing black box warnings, labeling changes, or withdrawals from social media were selected, and the results of the studies were summarized.ResultsA total of 14 studies were included in this scoping review. Most studies (8/14, 57.1%%) collected data from a single source, and 10 (71.4%) used specialized health care social networks and forums. The analytical methods used in these studies varied considerably. Three studies (21.4%) manually annotated posts, while 5 (35.7%) adopted machine learning algorithms. Nine studies (64.2%) concluded that social media could detect signals 3 months to 9 years before action from regulatory authorities. Most of these studies (8/9, 88.9%) were conducted on specialized health care social networks and forums. On the contrary, 5 (35.7%) studies yielded modest or negative results. Of these, 2 (40%) used generic social networking sites, 2 (40%) used specialized health care networks and forums, and 1 (20%) used both generic social networking sites and specialized health care social networks and forums. The most recently published study recommends not using social media for pharmacovigilance. Several challenges remain in using social media for pharmacovigilance regarding coverage, data quality, and analytic processing.ConclusionsSocial media, along with conventional pharmacovigilance measures, can be used to detect signals associated with new black box warnings, labeling changes, or withdrawals. Several challenges remain; however, social media will be useful for signal detection of frequently mentioned drugs in specialized health care social networks and forums. Further studies are required to advance natural language processing and mine real-world data on social media.

Project description:ImportanceIn 2013 and 2016, the US Food and Drug Administration (FDA) issued warnings and recommended limited use of fluoroquinolones for patients with certain acute conditions. It is not clear how prescribers have responded to these warnings.ObjectiveTo analyze changes in prescribing of fluoroquinolones after the 2013 and 2016 FDA warnings and to examine the physician characteristics associated with these changes.Design, setting, and participantsThis cross-sectional study used Medicare administrative claims data on Medicare fee-for-service beneficiaries and OneKey data on physicians and their organizations from January 1, 2011, to December 31, 2017. The sample was restricted to outpatient visits for sinusitis, bronchitis, and uncomplicated urinary tract infections. An interrupted time series approach was used to analyze the changes in the prescription rate after each FDA warning. Data analysis was performed between January 1, 2011, and December 31, 2017.InterventionsTwo FDA black box warnings released in August 2013 and July 2016.Main outcomes and measuresThe main outcome was an indicator for fluoroquinolone prescriptions in 3 periods: before the 2013 warning (baseline period), after the 2013 warning but before the 2016 warning (postwarning period 1), and after the 2016 warning (postwarning period 2).ResultsThe sample comprised 1 238 397 unique patients with a total of 2 720 071 outpatient acute care visits. Of this sample, 848 360 were women (68.5%), and the mean (SD) age was 69.7 (12.6) years. The immediate prescribing levels of fluoroquinolones in postwarning period 1 increased by 3.42 percentage points (95% CI, 3.23-3.62; P < .001) and declined by -0.77 percentage points (95% CI, -1.00 to -0.54; P < .001) in postwarning period 2. The prescribing trend increased by 0.08 percentage points per month (95% CI, 0.08-0.10; P < .001) in postwarning period 1 and 0.06 percentage points per month (95% CI, 0.04-0.08; P < .001) in postwarning period 2. In postwarning period 1, the prescribing levels for physicians who were affiliated with hospitals with a top 10th percentile case mix index vs those without such affiliation decreased by -1.13 percentage points (95% CI, -1.92 to -0.34; P = .005), whereas the levels for primary care physicians declined by -1.34 percentage points (95% CI, -1.78 to -0.88; P < .001) compared with non-primary care physicians in postwarning period 2. Physicians at teaching hospitals were the only ones who showed a decline in prescribing trend in postwarning period 1.Conclusions and relevanceThis cross-sectional study found an overall decline in prescribing of fluoroquinolones after the release of FDA warnings. Understanding the association of physician and organizational characteristics with fluoroquinolone prescribing behavior may ultimately help to identify mechanisms to improve de-adoption.

Dataset Information

New and incremental FDA black box warnings from 2008 to 2015.

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New and incremental FDA black box warnings from 2008 to 2015.

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