Evidence map›Paper›PMID 25475242›Full record

ArticleBMJ open2014

Redesigning the 'choice architecture' of hospital prescription charts: a mixed methods study incorporating in situ simulation testing.

Dominic King, Ali Jabbar, Esmita Charani, Colin Bicknell, Zhe Wu, Gavin Miller, Mark Gilchrist, Ivo Vlaev, Bryony Dean Franklin, Ara Darzi

Abstract read
In one paragraph

Article in BMJ open, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Review
  5. A change in behaviour: getting the balance right for research and policy.International journal of clinical pharmacy · 2016
    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

10 authors.

Dominic KingImperial College London, St Mary's Hospital, London, UK.
Ali JabbarSchool of Pharmacy, University College London, London, UK.
Esmita CharaniCentre for Infection Prevention and Management, Imperial College London, London, UK.
Colin BicknellImperial College London, St Mary's Hospital, London, UK.
Zhe WuImperial College Healthcare NHS Trust, London, UK.
Gavin MillerImperial College Healthcare NHS Trust, London, UK.
Mark GilchristImperial College Healthcare NHS Trust, London, UK.
Ivo VlaevImperial College London, St Mary's Hospital, London, UK.
Bryony Dean FranklinCentre for Medication Safety, Imperial College Healthcare NHS Trust and UCL School of Pharmacy, London, UK.
Ara DarziImperial College London, St Mary's Hospital, London, UK.

Funding

Medical Research Council G0800777
6 · The paper itself

Abstract

objectivesTo incorporate behavioural insights into the user-centred design of an inpatient prescription chart (Imperial Drug Chart Evaluation and Adoption Study, IDEAS chart) and to determine whether changes in the content and design of prescription charts could influence prescribing behaviour and reduce prescribing errors.

designA mixed-methods approach was taken in the development phase of the project; in situ simulation was used to evaluate the effectiveness of the newly developed IDEAS prescription chart.

settingA London teaching hospital. INTERVENTIONS/

methodsA multimodal approach comprising (1) an exploratory phase consisting of chart reviews, focus groups and user insight gathering (2) the iterative design of the IDEAS prescription chart and finally (3) testing of final chart with prescribers using in situ simulation.

resultsSubstantial variation was seen between existing inpatient prescription charts used across 15 different UK hospitals. Review of 40 completed prescription charts from one hospital demonstrated a number of frequent prescribing errors including illegibility, and difficulty in identifying prescribers. Insights from focus groups and direct observations were translated into the design of IDEAS chart. In situ simulation testing revealed significant improvements in prescribing on the IDEAS chart compared with the prescription chart currently in use in the study hospital. Medication orders on the IDEAS chart were significantly more likely to include correct dose entries (164/164 vs 166/174; p=0.0046) as well as prescriber's printed name (163/164 vs 0/174; p<0.0001) and contact number (137/164 vs 55/174; p<0.0001). Antiinfective indication (28/28 vs 17/29; p<0.0001) and duration (26/28 vs 15/29; p<0.0001) were more likely to be completed using the IDEAS chart.

conclusionsIn a simulated context, the IDEAS prescription chart significantly reduced a number of common prescribing errors including dosing errors and illegibility. Positive behavioural change was seen without prior education or support, suggesting that some common prescription writing errors are potentially rectifiable simply through changes in the content and design of prescription charts.

Indexed as

Computer SimulationDrug PrescriptionsHospitals, TeachingHumansInpatientsLondonMedication ErrorsMedication Systems, HospitalPharmacy Service, HospitalPilot ProjectsPrescriptionsEDUCATION & TRAINING (see Medical Education & Training)

Identifiers

PMID25475242
PMCPMC4256638

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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.