Evidence map›Paper›PMID 36345837›Full record

ArticlePharmacoepidemiology and drug safety2023

A data-informed approach using individualised dispensing patterns to estimate medicine exposure periods and dose from pharmaceutical claims data.

Chrianna Bharat, Louisa Degenhardt, Sallie-Anne Pearson, Luke Buizen, Andrew Wilson, Timothy Dobbins, Natasa Gisev

Erratum issuedAbstract read
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Article in Pharmacoepidemiology and drug safety, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Chrianna BharatNational Drug and Alcohol Research Centre, UNSW Sydney, Sydney, New South Wales, Australia.ORCID 0000-0002-9778-0386
Louisa DegenhardtNational Drug and Alcohol Research Centre, UNSW Sydney, Sydney, New South Wales, Australia.
Sallie-Anne PearsonCentre for Big Data Research in Health, Faculty of Medicine, UNSW Sydney, Kensington, New South Wales, Australia.
Luke BuizenNational Drug and Alcohol Research Centre, UNSW Sydney, Sydney, New South Wales, Australia.
Andrew WilsonMenzies Centre for Health Policy and Economics, Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia.
Timothy DobbinsSchool of Population Health, UNSW Sydney, Sydney, New South Wales, Australia.
Natasa GisevNational Drug and Alcohol Research Centre, UNSW Sydney, Sydney, New South Wales, Australia.ORCID 0000-0003-0452-8470

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmaceutical claims data are often used as the primary information source to define medicine exposure periods in pharmacoepidemiological studies. However, often critical information on directions for use and the intended duration of medicine supply are not available. In the absence of this information, alternative approaches are needed to support the assignment of exposure periods. This study summarises the key methods commonly used to estimate medicine exposure periods and dose from pharmaceutical claims data; and describes a method using individualised dispensing patterns to define time-dependent estimates of medicine exposure and dose. This method extends on important features of existing methods and also accounts for recent changes in an individual's medicine use. Specifically, this method constructs medicine exposure periods and estimates the dose used by considering characteristics from an individual's prior dispensings, accounting for the time between prior dispensings and the amount supplied at prior dispensings. Guidance on the practical applications of this method is also provided. Although developed primarily for application to databases, which do not contain duration of supply or dose information, use of this method may also facilitate investigations when such information is available and there is a need to consider individualised and/or changing dosing regimens. By shifting the reliance on prescribed duration and dose to determine exposure and dose estimates, individualised dispensing information is used to estimate patterns of exposure and dose for an individual. Reflecting real-world individualised use of medicines with complex and variable dosing regimens, this method offers a pragmatic approach that can be applied to all medicine classes.

Indexed as

Information SourcesPharmacoepidemiologyDatabases, FactualHumansPharmaceutical PreparationsPharmaceutical Preparationsdrug utilizationmethodspharmacoepidemiologytreatment episodes

Identifiers

PMID36345837
PMCPMC10947320

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.