Pharmacoepidemiological methods for computing the duration of pharmacological prescriptions using secondary data sources

Publikation: Bidrag til tidsskriftReviewForskningfagfællebedømt

Standard

Pharmacoepidemiological methods for computing the duration of pharmacological prescriptions using secondary data sources. / Meaidi, Marianne; Støvring, Henrik; Rostgaard, Klaus; Torp-Pedersen, Christian; Kragholm, Kristian Hay; Andersen, Morten; Sessa, Maurizio.

I: European Journal of Clinical Pharmacology, Bind 77, 2021, s. 1805–1814.

Publikation: Bidrag til tidsskriftReviewForskningfagfællebedømt

Harvard

Meaidi, M, Støvring, H, Rostgaard, K, Torp-Pedersen, C, Kragholm, KH, Andersen, M & Sessa, M 2021, 'Pharmacoepidemiological methods for computing the duration of pharmacological prescriptions using secondary data sources', European Journal of Clinical Pharmacology, bind 77, s. 1805–1814. https://doi.org/10.1007/s00228-021-03188-9

APA

Meaidi, M., Støvring, H., Rostgaard, K., Torp-Pedersen, C., Kragholm, K. H., Andersen, M., & Sessa, M. (2021). Pharmacoepidemiological methods for computing the duration of pharmacological prescriptions using secondary data sources. European Journal of Clinical Pharmacology, 77, 1805–1814. https://doi.org/10.1007/s00228-021-03188-9

Vancouver

Meaidi M, Støvring H, Rostgaard K, Torp-Pedersen C, Kragholm KH, Andersen M o.a. Pharmacoepidemiological methods for computing the duration of pharmacological prescriptions using secondary data sources. European Journal of Clinical Pharmacology. 2021;77:1805–1814. https://doi.org/10.1007/s00228-021-03188-9

Author

Meaidi, Marianne ; Støvring, Henrik ; Rostgaard, Klaus ; Torp-Pedersen, Christian ; Kragholm, Kristian Hay ; Andersen, Morten ; Sessa, Maurizio. / Pharmacoepidemiological methods for computing the duration of pharmacological prescriptions using secondary data sources. I: European Journal of Clinical Pharmacology. 2021 ; Bind 77. s. 1805–1814.

Bibtex

@article{cd98e02b436b4b3587f3786aed88efd4,
title = "Pharmacoepidemiological methods for computing the duration of pharmacological prescriptions using secondary data sources",
abstract = "PURPOSE: In pharmacoepidemiology, correctly defining the exposure period of pharmacological treatment is a challenging step when information on the time in treatment is missing or incomplete.METHODS: In this review, we describe several methods for defining exposure to pharmacological treatments using secondary data sources that lack such information.RESULTS AND CONCLUSION: Several methods for assessing the duration of redeemed prescriptions and combining them into temporal sequences are available. We present a set of considerations to make researchers aware of the potentials and pitfalls of these methods that may aid in minimizing biases in research using these methods. Additionally, we highlight that, to date, there is no one-size-fits-all solution. Thus, the choice of method should be based on their area of applicability combined with a careful mapping to the research scenario under investigation.",
author = "Marianne Meaidi and Henrik St{\o}vring and Klaus Rostgaard and Christian Torp-Pedersen and Kragholm, {Kristian Hay} and Morten Andersen and Maurizio Sessa",
note = "{\textcopyright} 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.",
year = "2021",
doi = "10.1007/s00228-021-03188-9",
language = "English",
volume = "77",
pages = "1805–1814",
journal = "European Journal of Clinical Pharmacology",
issn = "0031-6970",
publisher = "Springer",

}

RIS

TY - JOUR

T1 - Pharmacoepidemiological methods for computing the duration of pharmacological prescriptions using secondary data sources

AU - Meaidi, Marianne

AU - Støvring, Henrik

AU - Rostgaard, Klaus

AU - Torp-Pedersen, Christian

AU - Kragholm, Kristian Hay

AU - Andersen, Morten

AU - Sessa, Maurizio

N1 - © 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

PY - 2021

Y1 - 2021

N2 - PURPOSE: In pharmacoepidemiology, correctly defining the exposure period of pharmacological treatment is a challenging step when information on the time in treatment is missing or incomplete.METHODS: In this review, we describe several methods for defining exposure to pharmacological treatments using secondary data sources that lack such information.RESULTS AND CONCLUSION: Several methods for assessing the duration of redeemed prescriptions and combining them into temporal sequences are available. We present a set of considerations to make researchers aware of the potentials and pitfalls of these methods that may aid in minimizing biases in research using these methods. Additionally, we highlight that, to date, there is no one-size-fits-all solution. Thus, the choice of method should be based on their area of applicability combined with a careful mapping to the research scenario under investigation.

AB - PURPOSE: In pharmacoepidemiology, correctly defining the exposure period of pharmacological treatment is a challenging step when information on the time in treatment is missing or incomplete.METHODS: In this review, we describe several methods for defining exposure to pharmacological treatments using secondary data sources that lack such information.RESULTS AND CONCLUSION: Several methods for assessing the duration of redeemed prescriptions and combining them into temporal sequences are available. We present a set of considerations to make researchers aware of the potentials and pitfalls of these methods that may aid in minimizing biases in research using these methods. Additionally, we highlight that, to date, there is no one-size-fits-all solution. Thus, the choice of method should be based on their area of applicability combined with a careful mapping to the research scenario under investigation.

U2 - 10.1007/s00228-021-03188-9

DO - 10.1007/s00228-021-03188-9

M3 - Review

C2 - 34247270

VL - 77

SP - 1805

EP - 1814

JO - European Journal of Clinical Pharmacology

JF - European Journal of Clinical Pharmacology

SN - 0031-6970

ER -

ID: 274116215