Evidence map›Paper›PMID 23846810›Full record

Trial reportDiabetes care2013

Benchmarking is associated with improved quality of care in type 2 diabetes: the OPTIMISE randomized, controlled trial.

Michel P Hermans, Moses Elisaf, Georges Michel, Erik Muls, Frank Nobels, Hans Vandenberghe, Carlos Brotons, OPTIMISE International Steering Committee

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Diabetes care, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05901155 (Impact of medAL-mentor, a Real-time Mentoring and Benchmarking Tool, on Antibiotic Prescription Among Children in Primary Health Care Facilities in Tanzania), which is not on this map. Cited by 29 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 5 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.

NCT05901155 nacompletednot on this mapstarted 2023, after this paper: background citation

Impact of medAL-mentor, a Real-time Mentoring and Benchmarking Tool, on Antibiotic Prescription Among Children in Primary Health Care Facilities in Tanzania

TypeinterventionalSponsorCenter for Primary Care and Public Health (Unisante), University of Lausanne, SwitzerlandRan2023 to 2023Enrolled37,000ConditionsPrimary Health Care for ChildrenArmsMedAL-mentor
3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Audit and feedback: effects on professional practice.The Cochrane database of systematic reviews · 2025
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  5. Interventions to increase attendance for diabetic retinopathy screening.The Cochrane database of systematic reviews · 2018
    Pooled it
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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.

Michel P HermansCorresponding author: Michel P. Hermans, michel.hermans@uclouvain.be.
Moses Elisaf
Georges Michel
Erik Muls
Frank Nobels
Hans Vandenberghe
Carlos Brotons
OPTIMISE International Steering Committee

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess prospectively the effect of benchmarking on quality of primary care for patients with type 2 diabetes by using three major modifiable cardiovascular risk factors as critical quality indicators. RESEARCH DESIGN AND

methodsPrimary care physicians treating patients with type 2 diabetes in six European countries were randomized to give standard care (control group) or standard care with feedback benchmarked against other centers in each country (benchmarking group). In both groups, laboratory tests were performed every 4 months. The primary end point was the percentage of patients achieving preset targets of the critical quality indicators HbA1c, LDL cholesterol, and systolic blood pressure (SBP) after 12 months of follow-up.

resultsOf 4,027 patients enrolled, 3,996 patients were evaluable and 3,487 completed 12 months of follow-up. Primary end point of HbA1c target was achieved in the benchmarking group by 58.9 vs. 62.1% in the control group (P = 0.398) after 12 months; 40.0 vs. 30.1% patients met the SBP target (P < 0.001); 54.3 vs. 49.7% met the LDL cholesterol target (P = 0.006). Percentages of patients meeting all three targets increased during the study in both groups, with a statistically significant increase observed in the benchmarking group. The percentage of patients achieving all three targets at month 12 was significantly larger in the benchmarking group than in the control group (12.5 vs. 8.1%; P < 0.001).

conclusionsIn this prospective, randomized, controlled study, benchmarking was shown to be an effective tool for increasing achievement of critical quality indicators and potentially reducing patient cardiovascular residual risk profile.

Indexed as

BenchmarkingQuality Indicators, Health CareAgedBlood PressureCardiovascular DiseasesCholesterol, LDLDiabetes Mellitus, Type 2EuropeFemaleHumansMaleMiddle AgedPhysicians, Primary CarePrimary Health CareProspective StudiesRisk FactorsCholesterol, LDL

Identifiers

PMID23846810
PMCPMC3816864

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.