Evidence map›Paper›PMID 19409095›Full record

Trial reportTrials2009

Protocol for the PINCER trial: a cluster randomised trial comparing the effectiveness of a pharmacist-led IT-based intervention with simple feedback in reducing rates of clinically important errors in medicines management in general practices.

Anthony J Avery, Sarah Rodgers, Judith A Cantrill, Sarah Armstrong, Rachel Elliott, Rachel Howard, Denise Kendrick, Caroline J Morris, Scott A Murray, Robin J Prescott and 2 more

Erratum issuedAbstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in Trials, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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.

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

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

  1. Pooled it
  2. Pharmacist services for non-hospitalised patients.The Cochrane database of systematic reviews · 2018
    Pooled it
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  16. The prevalence and nature of prescribing and monitoring errors in English general practice: a retrospective case note review.The British journal of general practice : the journal of the Royal College of General Practitioners · 2013
    Article
  17. Article
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  19. Article
  20. Development of prescribing-safety indicators for GPs using the RAND Appropriateness Method.The British journal of general practice : the journal of the Royal College of General Practitioners · 2011
    Review
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

12 authors.

Anthony J AveryDivision of Primary Care, The Medical School, Queen's Medical Centre, Nottingham, NG7 2UH, UK. tony.avery@nottingham.ac.uk
Sarah Rodgers
Judith A Cantrill
Sarah Armstrong
Rachel Elliott
Rachel Howard
Denise Kendrick
Caroline J Morris
Scott A Murray
Robin J Prescott
Kathrin Cresswell
Aziz Sheikh

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedication errors are an important cause of morbidity and mortality in primary care. The aims of this study are to determine the effectiveness, cost effectiveness and acceptability of a pharmacist-led information-technology-based complex intervention compared with simple feedback in reducing proportions of patients at risk from potentially hazardous prescribing and medicines management in general (family) practice.

methodsRESEARCH SUBJECT GROUP: "At-risk" patients registered with computerised general practices in two geographical regions in England.

designParallel group pragmatic cluster randomised trial.

interventionsPractices will be randomised to either: (i) Computer-generated feedback; or (ii) Pharmacist-led intervention comprising of computer-generated feedback, educational outreach and dedicated support. PRIMARY OUTCOME MEASURES: The proportion of patients in each practice at six and 12 months post intervention: - with a computer-recorded history of peptic ulcer being prescribed non-selective non-steroidal anti-inflammatory drugs; - with a computer-recorded diagnosis of asthma being prescribed beta-blockers; - aged 75 years and older receiving long-term prescriptions for angiotensin converting enzyme inhibitors or loop diuretics without a recorded assessment of renal function and electrolytes in the preceding 15 months. SECONDARY OUTCOME MEASURES; These relate to a number of other examples of potentially hazardous prescribing and medicines management. ECONOMIC ANALYSIS: An economic evaluation will be done of the cost per error avoided, from the perspective of the UK National Health Service (NHS), comparing the pharmacist-led intervention with simple feedback. QUALITATIVE ANALYSIS: A qualitative study will be conducted to explore the views and experiences of health care professionals and NHS managers concerning the interventions, and investigate possible reasons why the interventions prove effective, or conversely prove ineffective. SAMPLE SIZE: 34 practices in each of the two treatment arms would provide at least 80% power (two-tailed alpha of 0.05) to demonstrate a 50% reduction in error rates for each of the three primary outcome measures in the pharmacist-led intervention arm compared with a 11% reduction in the simple feedback arm. DISCUSSION: At the time of submission of this article, 72 general practices have been recruited (36 in each arm of the trial) and the interventions have been delivered. Analysis has not yet been undertaken.

Indexed as

Community Pharmacy ServicesDrug Information ServicesFamily PracticeFeedback, PsychologicalPharmacistsAttitude of Health PersonnelClinical ProtocolsCluster AnalysisConsumer Product SafetyCost-Benefit AnalysisEnglandHealth Knowledge, Attitudes, PracticeHumansMedication ErrorsResearch DesignRisk Assessment

Identifiers

PMID19409095
PMCPMC2685134

What OpenQuestion holds

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Registered trials

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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.