Evidence map›Paper›PMID 25304255›Full record

Trial reportImplementation science : IS2014

Effective Feedback to Improve Primary Care Prescribing Safety (EFIPPS) a pragmatic three-arm cluster randomised trial: designing the intervention (ClinicalTrials.gov registration NCT01602705).

Karen N Barnett, Marion Bennie, Shaun Treweek, Christopher Robertson, Dennis J Petrie, Lewis D Ritchie, Bruce Guthrie

Registry-linked trialAbstract readPragmatic Clinical TrialRandomized Controlled Trial
In one paragraph

Trial report in Implementation science : IS, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01602705 (Effective Feedback to Improve Primary Care Prescribing Safety), which is not on this map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 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.

NCT01602705 nacompletednot on this map

Effective Feedback to Improve Primary Care Prescribing Safety (EFIPPS): a Randomised Controlled Trial Using ePrescribing Data

TypeinterventionalSponsorUniversity of DundeeRan2012 to 2013Enrolled262ConditionsComplications of Surgical and Medical Care: General TermsArmsUsual care, Feedback of Performance, Feedback of Performance + Health Psychology Informed Intervention
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Tailored interventions to address determinants of practice.The Cochrane database of systematic reviews · 2026
    Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Outcome-based commissioning: has its time come?The British journal of general practice : the journal of the Royal College of General Practitioners · 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

7 authors.

Karen N BarnettCentre of Population Health Sciences, University of Edinburgh Medical Quad, Teviot Place EH8 9AG, Edinburgh, UK. Karen.barnett@ed.ac.uk.
Marion Bennie
Shaun Treweek
Christopher Robertson
Dennis J Petrie
Lewis D Ritchie
Bruce Guthrie

Funding

Chief Scientist Office CZH/3/17Chief Scientist Office HSRU2
6 · The paper itself

Abstract

backgroundHigh-risk prescribing in primary care is common and causes considerable harm. Feedback interventions have small/moderate effects on clinical practice, but few trials explicitly compare different forms of feedback. There is growing recognition that intervention development should be theory-informed, and that comprehensive reporting of intervention design is required by potential users of trial findings. The paper describes intervention development for the Effective Feedback to Improve Primary Care Prescribing Safety (EFIPPS) study, a pragmatic three-arm cluster randomised trial in 262 Scottish general practices.

methodsThe NHS chose to implement a feedback intervention to utilise a new resource, new Prescribing Information System (newPIS). The development phase required selection of high-risk prescribing outcome measures and design of intervention components: (1) educational material (the usual care comparison), (2) feedback of practice rates of high-risk prescribing received by both intervention arms and (3) a theory-informed behaviour change component to be received by one intervention arm. Outcome measures, educational material and feedback design, were developed with a National Health Service Advisory Group. The behaviour change component was informed by the Theory of Planned Behaviour and the Health Action Process Approach. A focus group elicitation study and an email Delphi study with general practitioners (GPs) identified key attitudes and barriers of responding to the prescribing feedback. Behaviour change techniques were mapped to the psychological constructs, and the content was informed by the results of the elicitation and Delphi study.

resultsSix high-risk prescribing measures were selected in a consensus process based on importance and feasibility. Educational material and feedback design were based on current NHS Scotland practice and Advisory Group recommendations. The behaviour change component was resource constrained in development, mirroring what is feasible in an NHS context. Four behaviour change interventions were developed and embedded in five quarterly rounds of feedback targeting attitudes, subjective norms, perceived behavioural control and action planning (2×).

conclusionsThe paper describes a process which is feasible to use in the resource-constrained environment of NHS-led intervention development and documents the intervention to make its design and implementation explicit to potential users of the trial findings.

trial registrationClinicalTrials.gov: NCT01602705.

Indexed as

FeedbackPatient SafetyDelphi TechniqueDrug PrescriptionsEducation, Medical, ContinuingFocus GroupsHumansPrimary Health CareQuality ImprovementState MedicineSurveys and Questionnaires

Identifiers

PMID25304255
PMCPMC4201916

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.