Literature DB >> 25601142

Short look-back periods in pharmacoepidemiologic studies of new users of antibiotics and asthma medications introduce severe misclassification.

Anders H Riis1, Martin B Johansen, Jacob B Jacobsen, M Alan Brookhart, Til Stürmer, Henrik Støvring.   

Abstract

PURPOSE: The aim of this study was to quantify the effect of the look back period on the misclassification of new users of antibiotics and asthma medications.
METHODS: We included all children born in Denmark from 1995 through 2006 and all prescriptions of antibiotics and asthma medication from 1995 through 2011. The study period was 2007 through 2011. True new users redeemed their first prescription in the study period whereas prior users redeemed their first prescription before the study period. Look-back periods ranged from 30 days up to 12 years prior to the study period, and we defined new users as those without a prescription in the look-back period. The relative misclassification (RM) was estimated as the number of defined new users divided by the number of true new users.
RESULTS: For antibiotics, the RM decreased from 4.75 for look-back periods of 30 days to 2.36 for 2 years and 1.33 for 5 years. For asthma medication, the RM decreased from 2.53 for look-back periods of 30 days to 1.48 for 2 years and 1.20 for 5 years. Older age, male gender, and absence of treatment-related diagnoses were associated with higher RM.
CONCLUSIONS: Studies applying the new user design are strongly dependent on the available information on prescriptions. For drug classes with intermittent use such as asthma medications, even a 2-year look-back period produced severe misclassification. Excluding children with a prior treatment-related diagnosis can reduce the level of misclassification.
Copyright © 2015 John Wiley & Sons, Ltd.

Entities:  

Keywords:  antibiotics; asthma medications; methods; misclassification; new users; pharmacoepidemiology

Mesh:

Substances:

Year:  2015        PMID: 25601142     DOI: 10.1002/pds.3738

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


  6 in total

1.  Classifying medical histories in US Medicare beneficiaries using fixed vs all-available look-back approaches.

Authors:  Mitchell M Conover; Til Stürmer; Charles Poole; Robert J Glynn; Ross J Simpson; Virginia Pate; Michele Jonsson Funk
Journal:  Pharmacoepidemiol Drug Saf       Date:  2018-04-14       Impact factor: 2.890

2.  Cohort restriction based on prior enrollment: Examining potential biases in estimating cancer and mortality risk.

Authors:  Susan M Shortreed; Eric Johnson; Carolyn M Rutter; Aruna Kamineni; Karen J Wernli; Jessica Chubak
Journal:  Obs Stud       Date:  2016-09-26

3.  The active comparator, new user study design in pharmacoepidemiology: historical foundations and contemporary application.

Authors:  Jennifer L Lund; David B Richardson; Til Stürmer
Journal:  Curr Epidemiol Rep       Date:  2015-09-30

4.  Long-Term Natural History of Severe Asthma Exacerbations and Their Impact on the Disease Course.

Authors:  Tae Yoon Lee; John Petkau; Mohsen Sadatsafavi
Journal:  Ann Am Thorac Soc       Date:  2022-06

5.  Incidence in pharmacoepidemiology-Basic definitions and types of misclassification.

Authors:  Mikael Hoffmann; Henrik Støvring
Journal:  Basic Clin Pharmacol Toxicol       Date:  2022-04-13       Impact factor: 3.688

6.  Cohort profile: CROSS-TRACKS: a population-based open cohort across healthcare sectors in Denmark.

Authors:  Anders Hammerich Riis; Pia Kjær Kristensen; Matilde Grøndahl Petersen; Ninna Hinchely Ebdrup; Simon Meyer Lauritsen; Marianne Johansson Jørgensen
Journal:  BMJ Open       Date:  2020-10-29       Impact factor: 2.692

  6 in total

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