Evidence map›Paper›PMID 29306877›Full record

Trial reportBMJ open2018

Process evaluation of the Data-driven Quality Improvement in Primary Care (DQIP) trial: quantitative examination of variation between practices in recruitment, implementation and effectiveness.

Tobias Dreischulte, Aileen Grant, Adrian Hapca, Bruce Guthrie

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMJ open, 2018. 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Tobias DreischultePrescribing Support Unit, NHS Tayside, Dundee, UK.
Aileen GrantSchool of Nursing and Midwifery, Robert Gordon University, Aberdeen, UK, Scotland.ORCID 0000-0001-6146-101X
Adrian HapcaPopulation Health Sciences Division, Medical Research Institute, University of Dundee, Dundee, UK.
Bruce GuthriePopulation Health Sciences Division, Medical Research Institute, University of Dundee, Dundee, UK.

Funding

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

Abstract

objectivesThe cluster randomised trial of the Data-driven Quality Improvement in Primary Care (DQIP) intervention showed that education, informatics and financial incentives for general medical practices to review patients with ongoing high-risk prescribing of non-steroidal anti-inflammatory drugs and antiplatelets reduced the primary end point of high-risk prescribing by 37%, where both ongoing and new high-risk prescribing were significantly reduced. This quantitative process evaluation examined practice factors associated with (1) participation in the DQIP trial, (2) review activity (extent and nature of documented reviews) and (3) practice level effectiveness (relative reductions in the primary end point). SETTING/

participantsInvited practices recruited (n=33) and not recruited (n=32) to the DQIP trial in Scotland, UK. OUTCOME MEASURES: (1) Characteristics of recruited versus non-recruited practices. Associations of (2) practice characteristics and 'adoption' (self-reported implementation work done by practices) with documented review activity and (3) of practice characteristics, DQIP adoption and review activity with effectiveness.

results(1) Recruited practices had lower performance in the quality and outcomes framework than those declining participation. (2) Not being an approved general practitioner training practice and higher self-reported adoption were significantly associated with higher review activity. (3) Effectiveness ranged from a relative increase in high-risk prescribing of 24.1% to a relative reduction of 77.2%. High-risk prescribing and DQIP adoption (but not documented review activity) were significantly associated with greater effectiveness in the final multivariate model, explaining 64.0% of variation in effectiveness.

conclusionsIntervention implementation and effectiveness of the DQIP intervention varied substantially between practices. Although the DQIP intervention primarily targeted review of ongoing high-risk prescribing, the finding that self-reported DQIP adoption was a stronger predictor of effectiveness than documented review activity supports that reducing initiation and/or re-initiation of high-risk prescribing is key to its effectiveness. TRIAL REGISTRATION NUMBER: NCT01425502; Post-results.

Indexed as

Anti-Inflammatory Agents, Non-SteroidalGeneral PracticePrescription DrugsAgedAttitude of Health PersonnelCluster AnalysisEvaluation Studies as TopicFemaleGeneral PractitionersHumansMaleMedical InformaticsPatient SafetyPractice Patterns, Physicians'Process Assessment, Health CareQuality ImprovementAnti-Inflammatory Agents, Non-SteroidalPrescription DrugsAdverse EventsPrimary CareQuality In Health Care

Identifiers

PMID29306877
PMCPMC5780698

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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.