Evidence map›Paper›PMID 28407997›Full record

ArticleValue in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research2017

The Diagnosis of Urinary Tract Infection in Young Children (DUTY) Study Clinical Rule: Economic Evaluation.

William Hollingworth, John Busby, Christopher C Butler, Kathryn O'Brien, Jonathan A C Sterne, Kerenza Hood, Paul Little, Michael Lawton, Kate Birnie, Emma Thomas-Jones and 3 more

Open access · hybridAbstract readComparative StudyMulticenter Study
In one paragraph

Article in Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.4field-weighted citation impact, top 11% 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.

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

6 citing papers in PubMed, 13 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

13 authors at 4 institutions in 1 country.

William HollingworthSchool of Social and Community Medicine, University of Bristol, Bristol, UK. Electronic address: william.hollingworth@bristol.ac.uk.
John BusbySchool of Social and Community Medicine, University of Bristol, Bristol, UK.
Christopher C ButlerNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Kathryn O'BrienDivision of Population Medicine, Cardiff University, Cardiff, UK.
Jonathan A C SterneSchool of Social and Community Medicine, University of Bristol, Bristol, UK.
Kerenza HoodSouth East Wales Trials Unit (SEWTU Centre for Trials Research), Cardiff University, Cardiff, UK.
Paul LittlePrimary Care and Population Sciences Division, University of Southampton, Southampton, UK.
Michael LawtonSchool of Social and Community Medicine, University of Bristol, Bristol, UK.
Kate BirnieSchool of Social and Community Medicine, University of Bristol, Bristol, UK.
Emma Thomas-JonesSouth East Wales Trials Unit (SEWTU Centre for Trials Research), Cardiff University, Cardiff, UK.
Kim HarmanPrimary Care and Population Sciences Division, University of Southampton, Southampton, UK.
Alastair D HayCentre for Academic Primary Care, NIHR School of Primary Care Research, School of Social and Community Medicine, University of Bristol, Bristol, UK.
DUTY Study Team
University of Bristol · GBCardiff University · GBUniversity of Southampton · GBUniversity of Oxford · GB

Funding

Department of Health 08/66/01Department of Health CDF-2009-02-10Medical Research Council MR/K023233/1
6 · The paper itself

Abstract

objectiveTo estimate the cost-effectiveness of a two-step clinical rule using symptoms, signs and dipstick testing to guide the diagnosis and antibiotic treatment of urinary tract infection (UTI) in acutely unwell young children presenting to primary care.

methodsDecision analytic model synthesising data from a multicentre, prospective cohort study (DUTY) and the wider literature to estimate the short-term and lifetime costs and healthcare outcomes (symptomatic days, recurrent UTI, quality adjusted life years) of eight diagnostic strategies. We compared GP clinical judgement with three strategies based on a 'coefficient score' combining seven symptoms and signs independently associated with UTI and four strategies based on weighted scores according to the presence/absence of five symptoms and signs. We compared dipstick testing versus laboratory culture in children at intermediate risk of UTI.

resultsSampling, culture and antibiotic costs were lowest in high-specificity DUTY strategies (£1.22 and £1.08) compared to clinical judgement (£1.99). These strategies also approximately halved urine sampling (4.8% versus 9.1% in clinical judgement) without reducing sensitivity (58.2% versus 56.4%). Outcomes were very similar across all diagnostic strategies. High-specificity DUTY strategies were more cost-effective than clinical judgement in the short- (iNMB = £0.78 and £0.84) and long-term (iNMB =£2.31 and £2.50). Dipstick tests had poorer cost-effectiveness than laboratory culture in children at intermediate risk of UTI (iNMB = £-1.41).

conclusionsCompared to GPs' clinical judgement, high specificity clinical rules from the DUTY study could substantially reduce urine sampling, achieving lower costs and equivalent patient outcomes. Dipstick testing children for UTI is not cost-effective.

Indexed as

Decision Support TechniquesHealth Care CostsAge FactorsAnti-Bacterial AgentsBacteriological TechniquesChild, PreschoolCost-Benefit AnalysisDecision TreesDrug CostsHumansJudgmentPredictive Value of TestsPrevalencePrimary Health CareProspective StudiesQuality-Adjusted Life YearsAnti-Bacterial AgentsReagent Stripsantibacterial agentsdiagnosiseconomicsmedicalpediatricsurinary tract infections

Identifiers

PMID28407997
PMCPMC5406157
OpenAlexW2591487379

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.