Evidence map›Paper›PMID 22536430›Full record

ArticlePloS one2012

Performance scores in general practice: a comparison between the clinical versus medication-based approach to identify target populations.

Olivier Saint-Lary, Philippe Boisnault, Michel Naiditch, Philippe Szidon, Didier Duhot, Yann Bourgueil, Nathalie Pelletier-Fleury

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In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

1 citing paper in PubMed.

  1. 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.

Olivier Saint-LaryProspere, Paris, France. olivier.saint-lary@uvsq.fr
Philippe Boisnault
Michel Naiditch
Philippe Szidon
Didier Duhot
Yann Bourgueil
Nathalie Pelletier-Fleury

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextFrom one country to another, the pay-for-performance mechanisms differ on one significant point: the identification of target populations, that is, populations which serve as a basis for calculating the indicators. The aim of this study was to compare clinical versus medication-based identification of populations of patients with diabetes and hypertension over the age of 50 (for men) or 60 (for women), and any consequences this may have on the calculation of P4P indicators.

methodsA comparative, retrospective, observational study was carried out with clinical and prescription data from a panel of general practitioners (GPs), the Observatory of General Medicine (OMG) for the year 2007. Two indicators regarding the prescription for statins and aspirin in these populations were calculated.

resultsWe analyzed data from 21.690 patients collected by 61 GPs via electronic medical files. Following the clinical-based approach, 2.278 patients were diabetic, 8,271 had hypertension and 1.539 had both against respectively 1.730, 8.511 and 1.304 following the medication-based approach (% agreement = 96%, kappa = 0.69). The main reasons for these differences were: forgetting to code the morbidities in the clinical approach, not taking into account the population of patients who were given life style and diet rules only or taking into account patients for whom morbidities other than hypertension could justify the use of antihypertensive drugs in the medication-based approach. The mean (confidence interval) per doctor was 33.7% (31.5-35.9) for statin indicator and 38.4% (35.4-41.4) for aspirin indicator when the target populations were identified on the basis of clinical criteria whereas they were 37.9% (36.3-39.4) and 43.8% (41.4-46.3) on the basis of treatment criteria.

conclusionThe two approaches yield very "similar" scores but these scores cover different realities and offer food for thought on the possible usage of these indicators in the framework of P4P programmes.

Indexed as

Physician Incentive PlansPopulationQuality of Health CareAnti-Inflammatory Agents, Non-SteroidalAspirinDiabetes Mellitus, Type 2DiagnosisFemaleGeneral PracticeGeneral PractitionersHumansHydroxymethylglutaryl-CoA Reductase InhibitorsHypertensionMaleMiddle AgedPrescriptionsAnti-Inflammatory Agents, Non-SteroidalAspirinHydroxymethylglutaryl-CoA Reductase Inhibitors

Identifiers

PMID22536430
PMCPMC3334971

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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.