Evidence map›Paper›PMID 24007449›Full record

ArticleBritish journal of clinical pharmacology2013

Medication safety and knowledge-based functions: a stepwise approach against information overload.

Andrius Patapovas, Harald Dormann, Brita Sedlmayr, Melanie Kirchner, Anja Sonst, Fabian Müller, Barbara Pfistermeister, Bettina Plank-Kiegele, Renate Vogler, Renke Maas and 3 more

Abstract read
In one paragraph

Article in British journal of clinical pharmacology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Variation in high-priority drug-drug interaction alerts across institutions and electronic health records.Journal of the American Medical Informatics Association : JAMIA · 2017
    Article
  5. Article
  6. Article
  7. Article
  8. Article
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  10. 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

13 authors.

Andrius PatapovasMedical Informatics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany. andrius.patapovas@uk-erlangen.de
Harald Dormann
Brita Sedlmayr
Melanie Kirchner
Anja Sonst
Fabian Müller
Barbara Pfistermeister
Bettina Plank-Kiegele
Renate Vogler
Renke Maas
Manfred Criegee-Rieck
Hans-Ulrich Prokosch
Thomas Bürkle

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe aim was to improve medication safety in an emergency department (ED) by enhancing the integration and presentation of safety information for drug therapy.

methodsBased on an evaluation of safety of drug therapy issues in the ED and a review of computer-assisted intervention technologies we redesigned an electronic case sheet and implemented computer-assisted interventions into the routine work flow. We devised a four step system of alerts, and facilitated access to different levels of drug information. System use was analyzed over a period of 6 months. In addition, physicians answered a survey based on the technology acceptance model TAM2.

resultsThe new application was implemented in an informal manner to avoid work flow disruption. Log files demonstrated that step I, 'valid indication' was utilized for 3% of the recorded drugs and step II 'tooltip for well-known drug risks' for 48% of the drugs. In the questionnaire, the computer-assisted interventions were rated better than previous paper based measures (checklists, posters) with regard to usefulness, support of work and information quality.

conclusionA stepwise assisting intervention received positive user acceptance. Some intervention steps have been seldom used, others quite often. We think that we were able to avoid over-alerting and work flow intrusion in a critical ED environment.

Indexed as

Decision Support Systems, ClinicalKnowledge BasesEmergency Service, HospitalHumansMedication Errorscomputerizeddecision support systemselectronic prescribingmedical records systemmedication safetymedication therapy managementtechnology acceptance model

Identifiers

PMID24007449
PMCPMC3781676

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.