Evidence map›Paper›PMID 37033608›Full record

ArticleFrontiers in pharmacology2023

Using the national electronic prescription system to determine the primary non-adherence to medication in the Czech Republic.

Jan Bruthans, Jiří Berger, Ján Šoltés, Pavel Michálek

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 2 countries.

Jan BruthansDepartment of Anesthesiology and Intensive Care, General Teaching Hospital, Prague, Czechia.
Jiří BergerInstitute of Pathological Physiology, First Faculty of Medicine, Charles University, Prague, Czechia.
Ján ŠoltésDepartment of Anesthesiology and Intensive Care, General Teaching Hospital, Prague, Czechia.
Pavel MichálekDepartment of Anesthesiology and Intensive Care, General Teaching Hospital, Prague, Czechia.
General University Hospital in Prague · CZCharles University · CZCzech Technical University in Prague · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The primary medication non-adherence occurs when a patient does not collect his or her newly prescribed medication. Various studies give estimates that this occurs between 0.2 percent and 74 percent. Recently, this topic has been researched by analyzing data in national electronic prescription systems. The database of the Czech electronic prescription system was used to obtain the number of all prescriptions issued and collected in 2021 for fifty particular substances (associated with six medication groups). Additionally, a similar query was performed with an additional criterion that the same substance had not been prescribed within the last 365 days. The data were obtained separately in five age categories. The total number of prescriptions analyzed in this study was over 21 million, which represents almost 30 percent of all prescriptions issued in the Czech Republic in 2021. The primary medication non-adherence in the selected substances was 4.56 percent, which negatively correlates (rxy = 0.707) with the age of a patient. There is a higher primary non-adherence in the Psychoanaleptics and Lipid modifying medication groups than in the whole studied sample (

Indexed as

eHealthelectronic prescribingfilling prescriptionmedication adherenceprimary medication non-adherence

Identifiers

PMID37033608
PMCPMC10073447
OpenAlexW4353082123

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.