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 - 2021/12
Y1 - 2021/12
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.
KW - Pharmacoepidemiology
KW - Treatment episode duration
KW - Secondary data sources
KW - Adherence
KW - Persistence
UR - http://www.scopus.com/inward/record.url?scp=85110510410&partnerID=8YFLogxK
U2 - 10.1007/s00228-021-03188-9
DO - 10.1007/s00228-021-03188-9
M3 - Review
C2 - 34247270
SN - 0031-6970
VL - 77
SP - 1805
EP - 1814
JO - European Journal of Clinical Pharmacology
JF - European Journal of Clinical Pharmacology
IS - 12
ER -