Evidence map›Paper›PMID 23031275›Full record

ArticleBMC medical informatics and decision making2012

Physicians' perceptions on the usefulness of contextual information for prioritizing and presenting alerts in Computerized Physician Order Entry systems.

Martin Jung, Daniel Riedmann, Werner O Hackl, Alexander Hoerbst, Monique W Jaspers, Laurie Ferret, Kitta Lawton, Elske Ammenwerth

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Evaluation of an electronic health record Drug Interaction Customization Editor (DICE).American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists · 2024
    Article
  3. Article
  4. Article
  5. The potential for leveraging machine learning to filter medication alerts.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Recommendations to improve the usability of drug-drug interaction clinical decision support alerts.Journal of the American Medical Informatics Association : JAMIA · 2015
    Review
  12. Review
  13. Article
  14. Paving the COWpath: data-driven design of pediatric order sets.Journal of the American Medical Informatics Association : JAMIA · 2014
    Article
  15. Article
  16. Physician handoffs: opportunities and limitations for supportive technologies.AMIA ... Annual Symposium proceedings. AMIA Symposium
    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.

Martin JungInstitute of Health Informatics, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria.
Daniel Riedmann
Werner O Hackl
Alexander Hoerbst
Monique W Jaspers
Laurie Ferret
Kitta Lawton
Elske Ammenwerth

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne possible approach towards avoiding alert overload and alert fatigue in Computerized Physician Order Entry (CPOE) systems is to tailor their drug safety alerts to the context of the clinical situation. Our objective was to identify the perceptions of physicians on the usefulness of clinical context information for prioritizing and presenting drug safety alerts.

methodsWe performed a questionnaire survey, inquiring CPOE-using physicians from four hospitals in four European countries to estimate the usefulness of 20 possible context factors.

resultsThe 223 participants identified the 'severity of the effect' and the 'clinical status of the patient' as the most useful context factors. Further important factors are the 'complexity of the case' and the 'risk factors of the patient'.

conclusionsOur findings confirm the results of a prior, comparable survey inquiring CPOE researchers. Further research should focus on implementing these context factors in CPOE systems and on subsequently evaluating their impact.

Indexed as

Attitude to ComputersClinical AlarmsAdultEuropeFemaleHumansMaleMedical Order Entry SystemsMedical Staff, HospitalMiddle AgedSurveys and Questionnaires

Identifiers

PMID23031275
PMCPMC3522054

What OpenQuestion holds

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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.