Cargando…

New‐user and prevalent‐user designs and the definition of study time origin in pharmacoepidemiology: A review of reporting practices

BACKGROUND: Guidance reports for observational comparative effectiveness and drug safety research recommend implementing a new‐user design whenever possible, since it reduces the risk of selection bias in exposure effect estimation compared to a prevalent‐user design. The uptake of this guidance has...

Descripción completa

Detalles Bibliográficos
Autores principales: Luijken, Kim, Spekreijse, Judith J., van Smeden, Maarten, Gardarsdottir, Helga, Groenwold, Rolf H. H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8252086/
https://www.ncbi.nlm.nih.gov/pubmed/33899305
http://dx.doi.org/10.1002/pds.5258
_version_ 1783717227896242176
author Luijken, Kim
Spekreijse, Judith J.
van Smeden, Maarten
Gardarsdottir, Helga
Groenwold, Rolf H. H.
author_facet Luijken, Kim
Spekreijse, Judith J.
van Smeden, Maarten
Gardarsdottir, Helga
Groenwold, Rolf H. H.
author_sort Luijken, Kim
collection PubMed
description BACKGROUND: Guidance reports for observational comparative effectiveness and drug safety research recommend implementing a new‐user design whenever possible, since it reduces the risk of selection bias in exposure effect estimation compared to a prevalent‐user design. The uptake of this guidance has not been studied extensively. METHODS: We reviewed 89 observational effectiveness and safety cohort studies published in six pharmacoepidemiological journals in 2018 and 2019. We developed an extraction tool to assess how frequently new‐user and prevalent‐user designs were reported to be implemented. For studies that implemented a new‐user design in both treatment arms, we extracted information about the extent to which the moment of meeting eligibility criteria, treatment initiation, and start of follow‐up were reported to be aligned. RESULTS: Of the 89 studies included, 40% reported implementing a new‐user design for both the study exposure arm and the comparator arm, while 13% reported implementing a prevalent‐user design in both arms. The moment of meeting eligibility criteria, treatment initiation, and start of follow‐up were reported to be aligned in both treatment arms in 53% of studies that reported implementing a new‐user design. We provided examples of studies that minimized the risk of introducing bias due to unclear definition of time origin in unexposed participants, immortal time, or a time lag. CONCLUSIONS: Almost half of the included studies reported implementing a new‐user design. Implications of misalignment of study design origin were difficult to assess because it would require explicit reporting of the target estimand in original studies. We recommend that the choice for a particular study time origin is explicitly motivated to enable assessment of validity of the study.
format Online
Article
Text
id pubmed-8252086
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher John Wiley & Sons, Inc.
record_format MEDLINE/PubMed
spelling pubmed-82520862021-07-07 New‐user and prevalent‐user designs and the definition of study time origin in pharmacoepidemiology: A review of reporting practices Luijken, Kim Spekreijse, Judith J. van Smeden, Maarten Gardarsdottir, Helga Groenwold, Rolf H. H. Pharmacoepidemiol Drug Saf Review BACKGROUND: Guidance reports for observational comparative effectiveness and drug safety research recommend implementing a new‐user design whenever possible, since it reduces the risk of selection bias in exposure effect estimation compared to a prevalent‐user design. The uptake of this guidance has not been studied extensively. METHODS: We reviewed 89 observational effectiveness and safety cohort studies published in six pharmacoepidemiological journals in 2018 and 2019. We developed an extraction tool to assess how frequently new‐user and prevalent‐user designs were reported to be implemented. For studies that implemented a new‐user design in both treatment arms, we extracted information about the extent to which the moment of meeting eligibility criteria, treatment initiation, and start of follow‐up were reported to be aligned. RESULTS: Of the 89 studies included, 40% reported implementing a new‐user design for both the study exposure arm and the comparator arm, while 13% reported implementing a prevalent‐user design in both arms. The moment of meeting eligibility criteria, treatment initiation, and start of follow‐up were reported to be aligned in both treatment arms in 53% of studies that reported implementing a new‐user design. We provided examples of studies that minimized the risk of introducing bias due to unclear definition of time origin in unexposed participants, immortal time, or a time lag. CONCLUSIONS: Almost half of the included studies reported implementing a new‐user design. Implications of misalignment of study design origin were difficult to assess because it would require explicit reporting of the target estimand in original studies. We recommend that the choice for a particular study time origin is explicitly motivated to enable assessment of validity of the study. John Wiley & Sons, Inc. 2021-05-10 2021-07 /pmc/articles/PMC8252086/ /pubmed/33899305 http://dx.doi.org/10.1002/pds.5258 Text en © 2021 The Authors. Pharmacoepidemiology and Drug Safety published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Luijken, Kim
Spekreijse, Judith J.
van Smeden, Maarten
Gardarsdottir, Helga
Groenwold, Rolf H. H.
New‐user and prevalent‐user designs and the definition of study time origin in pharmacoepidemiology: A review of reporting practices
title New‐user and prevalent‐user designs and the definition of study time origin in pharmacoepidemiology: A review of reporting practices
title_full New‐user and prevalent‐user designs and the definition of study time origin in pharmacoepidemiology: A review of reporting practices
title_fullStr New‐user and prevalent‐user designs and the definition of study time origin in pharmacoepidemiology: A review of reporting practices
title_full_unstemmed New‐user and prevalent‐user designs and the definition of study time origin in pharmacoepidemiology: A review of reporting practices
title_short New‐user and prevalent‐user designs and the definition of study time origin in pharmacoepidemiology: A review of reporting practices
title_sort new‐user and prevalent‐user designs and the definition of study time origin in pharmacoepidemiology: a review of reporting practices
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8252086/
https://www.ncbi.nlm.nih.gov/pubmed/33899305
http://dx.doi.org/10.1002/pds.5258
work_keys_str_mv AT luijkenkim newuserandprevalentuserdesignsandthedefinitionofstudytimeorigininpharmacoepidemiologyareviewofreportingpractices
AT spekreijsejudithj newuserandprevalentuserdesignsandthedefinitionofstudytimeorigininpharmacoepidemiologyareviewofreportingpractices
AT vansmedenmaarten newuserandprevalentuserdesignsandthedefinitionofstudytimeorigininpharmacoepidemiologyareviewofreportingpractices
AT gardarsdottirhelga newuserandprevalentuserdesignsandthedefinitionofstudytimeorigininpharmacoepidemiologyareviewofreportingpractices
AT groenwoldrolfhh newuserandprevalentuserdesignsandthedefinitionofstudytimeorigininpharmacoepidemiologyareviewofreportingpractices