Literature DB >> 16476875

Adherence to black box warnings for prescription medications in outpatients.

Karen E Lasser1, Diane L Seger, D Tony Yu, Andrew S Karson, Julie M Fiskio, Andrew C Seger, Nidhi R Shah, Tejal K Gandhi, Jeffrey M Rothschild, David W Bates.   

Abstract

BACKGROUND: Few data are available regarding the prevalence of potentially dangerous drug-drug, drug-laboratory, and drug-disease interactions among outpatients. Our objectives were to determine how frequently clinicians prescribe drugs in violation of black box warnings for these issues and to determine how frequently such prescribing results in harm.
METHODS: In an observational study of 51 outpatient practices using an electronic health record, we measured the frequency with which patients received prescriptions in violation of black box warnings for drug-drug, drug-laboratory, and/or drug-disease interactions. We performed medical record reviews in a sample of patients to detect adverse drug events. Multivariate analysis was conducted to assess the relationship of prescribing in violation of black box warnings to patient and clinician characteristics, adjusting for potential confounders and clustering.
RESULTS: Of 324 548 outpatients who received a medication in 2002, 2354 (0.7%) received a prescription in violation of a black box warning. After adjustment, receipt of medication in violation of a black box warning was more likely when patients were 75 years or older or female. The number of medications taken, the number of medical problems, and the site of care were also associated with violations. Less than 1% of patients who received a drug in violation of a black box warning had an adverse drug event as a result.
CONCLUSIONS: About 7 in 1000 outpatients received a prescription violating a black box warning. Few incidents resulted in detectable harm.

Entities:  

Mesh:

Year:  2006        PMID: 16476875     DOI: 10.1001/archinte.166.3.338

Source DB:  PubMed          Journal:  Arch Intern Med        ISSN: 0003-9926


  19 in total

1.  Recognition and Knowledge of Medications with Black Box Warnings Among Pediatricians and Emergency Physicians.

Authors:  Craig Geoffrey Smollin; Jonathan Fu; Ross Levin
Journal:  J Med Toxicol       Date:  2016-06

2.  Incorrect use of orlistat and sibutramine in clinical practice.

Authors:  Anna Dahlin; Björn Beermann
Journal:  Eur J Clin Pharmacol       Date:  2007-01-05       Impact factor: 2.953

3.  A randomized trial of the effectiveness of on-demand versus computer-triggered drug decision support in primary care.

Authors:  Robyn Tamblyn; Allen Huang; Laurel Taylor; Yuko Kawasumi; Gillian Bartlett; Roland Grad; André Jacques; Martin Dawes; Michal Abrahamowicz; Robert Perreault; Nancy Winslade; Lise Poissant; Alain Pinsonneault
Journal:  J Am Med Inform Assoc       Date:  2008-04-24       Impact factor: 4.497

4.  Risk management policy and black-box warnings: a qualitative analysis of US FDA proceedings.

Authors:  Daniel M Cook; Rama K Gurugubelli; Lisa A Bero
Journal:  Drug Saf       Date:  2009       Impact factor: 5.606

5.  Messages about black-box warnings: a comparative analysis of reports from the FDA and lay media in the US.

Authors:  Pierre L Yong; Cabral Bigman; David N Flynn; Danielle Mittermaier; Judith A Long
Journal:  Drug Saf       Date:  2009       Impact factor: 5.606

6.  Different black box warning labeling for same-class drugs.

Authors:  Orestis A Panagiotou; Despina G Contopoulos-Ioannidis; Panagiotis N Papanikolaou; Evangelia E Ntzani; John P A Ioannidis
Journal:  J Gen Intern Med       Date:  2011-02-01       Impact factor: 5.128

Review 7.  Medication-related clinical decision support in computerized provider order entry systems: a review.

Authors:  Gilad J Kuperman; Anne Bobb; Thomas H Payne; Anthony J Avery; Tejal K Gandhi; Gerard Burns; David C Classen; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2006-10-26       Impact factor: 4.497

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

Authors:  Michael T Solotke; Sanket S Dhruva; Nicholas S Downing; Nilay D Shah; Joseph S Ross
Journal:  Expert Opin Drug Saf       Date:  2017-12-17       Impact factor: 4.250

9.  Implementing Black Box Warnings (BBWs) in Health Information Systems: An Organizing Taxonomy Identifying Opportunities and Challenges.

Authors:  M Ikezuagu; E Yang; A Daghstani; D C Kaelber
Journal:  Appl Clin Inform       Date:  2012-03-21       Impact factor: 2.342

10.  Factors associated with ordering laboratory monitoring of high-risk medications.

Authors:  Shira H Fischer; Jennifer Tjia; George Reed; Daniel Peterson; Jerry H Gurwitz; Terry S Field
Journal:  J Gen Intern Med       Date:  2014-06-26       Impact factor: 5.128

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