Evidence map›Paper›PMID 22444945›Full record

Trial reportImplementation science : IS2012

A cluster randomised stepped wedge trial to evaluate the effectiveness of a multifaceted information technology-based intervention in reducing high-risk prescribing of non-steroidal anti-inflammatory drugs and antiplatelets in primary medical care: the DQIP study protocol.

Tobias Dreischulte, Aileen Grant, Peter Donnan, Colin McCowan, Peter Davey, Dennis Petrie, Shaun Treweek, Bruce Guthrie

Registry-linked trialOpen access · goldAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Implementation science : IS, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01425502 (Data-driven Quality Improvement in Primary Care), which is not on this map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 9% 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.

NCT01425502 nacompletednot on this map

Data-driven Quality Improvement in Primary Care: Cluster Randomised Controlled Trial to Test the Effectiveness of a Multifaceted Intervention in Reducing High Risk Prescribing of Non-steroidal Anti-inflammatory Drugs and Antiplatelet Agents

TypeinterventionalSponsorUniversity of DundeeRan2012 to 2014Enrolled33ConditionsDrug SafetyArmsDQIP Intervention
3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 53 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

8 authors at 2 institutions in 1 country.

Tobias DreischulteTayside Medicines Unit, NHS Tayside, Mackenzie Building, Kirsty Semple Way, Dundee DD2 4BF, UK. t.dreischulte@dundee.ac.uk
Aileen Grant
Peter Donnan
Colin McCowan
Peter Davey
Dennis Petrie
Shaun Treweek
Bruce Guthrie
University of Dundee · GBNHS Tayside · GB

Funding

Chief Scientist Office ARPG/07/02
6 · The paper itself

Abstract

backgroundHigh-risk prescribing of non-steroidal anti-inflammatory drugs (NSAIDs) and antiplatelet agents accounts for a significant proportion of hospital admissions due to preventable adverse drug events. The recently completed PINCER trial has demonstrated that a one-off pharmacist-led information technology (IT)-based intervention can significantly reduce high-risk prescribing in primary care, but there is evidence that effects decrease over time and employing additional pharmacists to facilitate change may not be sustainable. METHODS/

designWe will conduct a cluster randomised controlled with a stepped wedge design in 40 volunteer general practices in two Scottish health boards. Eligible practices are those that are using the INPS Vision clinical IT system, and have agreed to have relevant medication-related data to be automatically extracted from their electronic medical records. All practices (clusters) that agree to take part will receive the data-driven quality improvement in primary care (DQIP) intervention, but will be randomised to one of 10 start dates. The DQIP intervention has three components: a web-based informatics tool that provides weekly updated feedback of targeted prescribing at practice level, prompts the review of individual patients affected, and summarises each patient's relevant risk factors and prescribing; an outreach visit providing education on targeted prescribing and training in the use of the informatics tool; and a fixed payment of 350 GBP (560 USD; 403 EUR) up front and a small payment of 15 GBP (24 USD; 17 EUR) for each patient reviewed in the 12 months of the intervention. We hypothesise that the DQIP intervention will reduce a composite of nine previously validated measures of high-risk prescribing. Due to the nature of the intervention, it is not possible to blind practices, the core research team, or the data analyst. However, outcome assessment is entirely objective and automated. There will additionally be a process and economic evaluation alongside the main trial. DISCUSSION: The DQIP intervention is an example of a potentially sustainable safety improvement intervention that builds on the existing National Health Service IT-infrastructure to facilitate systematic management of high-risk prescribing by existing practice staff. Although the focus in this trial is on Non-steroidal anti-inflammatory drugs and antiplatelets, we anticipate that the tested intervention would be generalisable to other types of prescribing if shown to be effective.

trial registrationClinicalTrials.gov, dossier number: NCT01425502.

Indexed as

Medical InformaticsAnti-Inflammatory Agents, Non-SteroidalCluster AnalysisEducation, PharmacyFamily PracticeFemaleHospitalizationHumansMaleMedication ErrorsPlatelet Aggregation InhibitorsPractice Patterns, Physicians'Prescription DrugsPrognosisReimbursement, IncentiveScotlandAnti-Inflammatory Agents, Non-SteroidalPlatelet Aggregation InhibitorsPrescription Drugs

Identifiers

PMID22444945
PMCPMC3353207
OpenAlexW2161722393

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.