Evidence map›Paper›PMID 32343422›Full record

ArticleBritish journal of clinical pharmacology2020

Improving junior doctor medicine prescribing and patient safety: An intervention using personalised, structured, video-enhanced feedback and deliberate practice.

William Green, Muhammad Waseem Shahzad, Stephen Wood, Maria Martinez Martinez, Andrew Baines, Ahmad Navid, Robert Jay, Zara Whysall, John Sandars, Rakesh Patel

Open access · hybridAbstract read
In one paragraph

Article in British journal of clinical pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 10% of its field
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

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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

10 authors at 7 institutions in 1 country.

William GreenUniversity of Leicester School of Business, University of Leicester, Leicester, UK.ORCID 0000-0003-4161-4490
Muhammad Waseem ShahzadUniversity of Leicester School of Business, University of Leicester, Leicester, UK.ORCID 0000-0002-6003-6000
Stephen WoodUniversity of Leicester School of Business, University of Leicester, Leicester, UK.ORCID 0000-0002-6910-9907
Maria Martinez MartinezLeicester General Hospital, University Hospitals of Leicester (UHL) NHS Trust, Leicester, UK.
Andrew BainesPilgrim Hospital Boston, United Lincolnshire Hospitals (ULH) NHS Trust, Boston, Lincolnshire, UK.
Ahmad NavidQueen Elizabeth Hospital Birmingham, University Hospitals Birmingham NHS Foundation Trust, Edgbaston, Birmingham, UK.
Robert JaySchool of Medicine, University of Nottingham, Nottingham, UK.
Zara WhysallDepartment of Human Resource Management, Nottingham Business School, Nottingham Trent University, Nottingham, UK.ORCID 0000-0001-5833-9486
John SandarsHealth Research Institute, Faculty of Health, Social Care and Medicine, Edge Hill University, Ormskirk, Lancashire, UK.ORCID 0000-0003-3930-387X
Rakesh PatelSchool of Medicine, University of Nottingham, Nottingham, UK.ORCID 0000-0002-5770-328X
University of Leicester · GBUniversity of Nottingham · GBEdge Hill University · GBLeicester General Hospital · GBNottingham Trent University · GBPilgrim Hospital · GBUniversity Hospitals Birmingham NHS Foundation Trust · GB

Funding

Academic Health Science Network Funding for Study 2 and 3Health Education England LEI0085National Institute for Health Research R.P.'s academic clinical lecturershipPfizer UK Unrestricted Medical Education Grant (Study 1)
6 · The paper itself

Abstract

aimsThis research investigated the effectiveness of an intervention for improving the prescribing and patient safety behaviour among Foundation Year doctors. The intervention consisted of simulated clinical encounters with subsequent personalised, structured, video-enhanced feedback and deliberate practice, undertaken at the start of four-month sub-specialty rotations.

methodsThree prospective, non-randomised control intervention studies were conducted, within two secondary care NHS Trusts in England. The primary outcome measure, error rate per prescriber, was calculated using daily prescribing data. Prescribers were grouped to enable a comparison between experimental and control conditions using regression analysis. A break-even analysis evaluated cost-effectiveness.

resultsThere was no significant difference in error rates of novice prescribers who received the intervention when compared with those of experienced prescribers. Novice prescribers not participating in the intervention had significantly higher error rates (P = .026, 95% confidence interval [CI] Wald 0.093 to 1.436; P = .026, 95% CI 0.031 to 0.397) and patients seen by them experienced significantly higher prescribing error rates (P = .007, 95% CI 0.025 to 0.157). Conversely, patients seen by the novice prescribers who received the intervention experienced a significantly lower rate of significant errors compared to patients seen by the experienced prescribers (P = .04, 95% CI -0.068 to -0.001). The break-even analysis demonstrates cost-effectiveness for the intervention.

conclusionSimulated clinical encounters using personalised, structured, video-enhanced feedback and deliberate practice improves the prescribing and patient safety behaviour of Foundation Year doctors. The intervention is cost-effective with potential to reduce avoidable harm.

Indexed as

Medical Staff, HospitalPhysiciansDrug PrescriptionsEnglandFeedbackHumansPractice Patterns, Physicians'Prospective Studiesavoidable harmdeliberate practicefoundation trainingjunior doctorspatient safetyprescribingvideo-enhanced feedback

Identifiers

PMID32343422
PMCPMC7576627
OpenAlexW3013779753

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.