Evidence map›Paper›PMID 19594534›Full record

ArticleBritish journal of clinical pharmacology2009

Prevention of medication errors: teaching and training.

Robert Likic, Simon R J Maxwell

Abstract read
In one paragraph

Article in British journal of clinical pharmacology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 4 pooled it
–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

47 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
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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

2 authors.

Robert LikicDepartment of Internal Medicine, Unit of Clinical Pharmacology, University of Zagreb, School of Medicine, University Hospital Rebro, Kispaticeva 12, Zagreb, Croatia.
Simon R J Maxwell

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

1. Poor prescribing is probably the most common cause of preventable medication errors in hospitals, and many of these events involve junior doctors who have recently graduated. Prescribing is a complex skill that depends on a sound knowledge of medicines, an understanding of the principles of clinical pharmacology, the ability to make judgements concerning risks and benefits, and ideally experience. It is not surprising that errors occur. 2. The challenge of being a prescriber is probably greater now than ever before. Medical education has changed radically in the last 20 years, reflecting concerns about an overburdened curriculum and lack of focus on social sciences. In the UK, these changes have resulted in less teaching in clinical pharmacology and practical prescribing as guaranteed features of undergraduate training and assessment. There has been growing concern, not least from students, that medical school training is not sufficient to prepare them for the pressures of becoming prescribers. Similar concerns are being expressed in other countries. While irrefutable evidence that these changes are related to medication errors identified in practice, there is circumstantial evidence that this is so. 3. Systems analysis of errors suggests that knowledge and training are relevant factors in causation and that focused education improves prescribing performance. We believe that there is already sufficient evidence to support a careful review of how students are trained to become prescribers and how these skills are fostered in the postgraduate years. We provide a list of guiding principles on which training might be based.

Indexed as

Clinical CompetenceDrug PrescriptionsEducation, Medical, UndergraduateHumansMedical Staff, HospitalMedication ErrorsPractice Patterns, Physicians'

Identifiers

PMID19594534
PMCPMC2723205

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.