Evidence map›Paper›PMID 25298801›Full record

ArticleApplied clinical informatics2014

Estimation of severe drug-drug interaction warnings by medical specialist groups for Austrian nationwide eMedication.

C Rinner, S K Sauter, L M Neuhofer, D Edlinger, W Grossmann, M Wolzt, G Endel, W Gall

Abstract read
In one paragraph

Article in Applied clinical informatics, 2014. 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
–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

1 citing paper in PubMed.

  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

8 authors.

C RinnerCenter for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna , Vienna, Austria.
S K SauterCenter for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna , Vienna, Austria.
L M NeuhoferCenter for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna , Vienna, Austria.
D EdlingerCenter for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna , Vienna, Austria.
W GrossmannResearch Group Scientific Computing, University of Vienna , Vienna, Austria.
M WolztDepartment of Clinical Pharmacology, Medical University of Vienna , Vienna, Austria.
G EndelMain Association of Austrian Social Security Organizations , Vienna, Austria.
W GallCenter for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna , Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objective of this study is to estimate the amount of severe drug-drug interaction warnings per medical specialist group triggered by prescribed drugs of a patient before and after the introduction of a nationwide eMedication system in Austria planned for 2015.

methodsThe estimations of interaction warnings are based on patients' prescriptions of a single health care professional per patient, as well as all patients' prescriptions from all visited health care professionals. We used a research database of the Main Association of Austrian Social Security Organizations that contains health claims data of the years 2006 and 2007.

resultsThe study cohort consists of about 1 million patients, with 26.4 million prescribed drugs from about 3,400 different health care professionals. The estimation of interaction warnings show a heterogeneous pattern of severe drug-drug-interaction warnings across medical specialist groups.

conclusionDuring an eMedication implementation it must be taken into consideration that different medical specialist groups require customized support.

Indexed as

Drug InteractionsAdverse Drug Reaction Reporting SystemsAustriaClinical Pharmacy Information SystemsDrug-Related Side Effects and Adverse ReactionsElectronic PrescribingHumansMedical Order Entry SystemsMedicinePrevalenceDrug interactionsmedical informaticspublic health informatics

Identifiers

PMID25298801
PMCPMC4187078

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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.