Evidence map›Paper›PMID 28357510›Full record

ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2017

Tracking unnecessary negative urinalyses to reduce healthcare costs: a transversal study.

A Malmartel, M Dutron, C Ghasarossian

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Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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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

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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

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

A MalmartelDepartment of Family Medicine, University of Medicine Paris Descartes-Site Cochin, 24, rue du Faubourg Saint-Jacques, 75014, Paris, France. malmartel.alexandre@gmail.com.
M DutronDepartment of Family Medicine, University of Medicine Paris Descartes-Site Cochin, 24, rue du Faubourg Saint-Jacques, 75014, Paris, France.
C GhasarossianDepartment of Family Medicine, University of Medicine Paris Descartes-Site Cochin, 24, rue du Faubourg Saint-Jacques, 75014, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

About 7 million urinalyses are reimbursed yearly by the French public healthcare system, but the results of most of these tests are normal. The aim of this study was to estimate the prevalence of negative urinalyses in ambulatory care, identify the associated factors and assess the relevance of prescriptions by general practitioners (GPs) according to French guidelines. A cross-sectional study was conducted in patients over 18 coming for urinalyses in two French ambulatory laboratories. Patients received a questionnaire on their symptoms, the reason for performing urinalysis and the use of urinary dipsticks. GP who prescribed urinalyses received a questionnaire assessing their practice. A total of 510 patients were included, and 71% of urinalyses were negative. Urinalyses were prescribed to 283 patients by GPs. Compared to those of specialists, GP prescriptions were associated with fewer negative urinalyses (59 vs 86%; p < 0.01). Among the negative urinalyses prescribed by GPs, the reasons of prescription were as follows: suspected urinary tract infection (UTI) (42.7%), control of bacteriological cure after UTI (24%), fever or abdominal pain (13%) and routine test (7%). About 35% of urinalyses were not indicated according to guidelines. Only 12% of patients used dipsticks before performing urinalysis although 87% of GPs were favourable to their use if they were provided by healthcare services. The annual cost of non-indicated urinalyses is estimated at 13 million euro. A systematic use of dipsticks provided by healthcare services could help to reduce health costs and the unnecessary use of antibiotics.

Indexed as

Health Care CostsPublic Health SurveillanceUrinalysisAdolescentAdultAgedCross-Sectional StudiesFemaleFranceHumansMaleMiddle AgedRisk FactorsUrinary Tract InfectionsYoung AdultBacteriological CureHealthcare ServiceUrinary DipstickUrinary SymptomUrinary Tract Infection

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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.