Evidence map›Paper›PMID 41955008›Full record

ArticleFamily practice2026

Performance of the Dutch Triage standard in managing fever in children in out-of-hours primary care: a secondary analysis of the chili study.

Robin N Gottwald, Eefje G P M de Bont, Jochen W L Cals, Laure Wynants

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Article in Family practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Robin N GottwaldDepartment of Epidemiology, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht 6229 HA, The Netherlands.ORCID 0009-0001-3946-2451
Eefje G P M de BontDepartment of Family Medicine, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht 6229 HA, The Netherlands.ORCID 0000-0002-2700-4752
Jochen W L CalsDepartment of Family Medicine, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht 6229 HA, The Netherlands.ORCID 0000-0001-9550-5674
Laure WynantsDepartment of Epidemiology, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht 6229 HA, The Netherlands.ORCID 0000-0002-3037-122X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe Dutch Triage Standard (NTS) supports nurses in assessing case urgency in out-of-hours general practice (GP) care; however, its suitability for fever-related pediatric cases remains debated. This study examines the agreement between pre-consultation NTS urgency classifications (U-scores) and post-consultation management decisions in febrile children, and whether the NTS reduces between-center variation in decision-making.

methodsWe performed a secondary analysis of the CHILI study, including 22 089 consultations for children under 12 with fever, across 18 out-of-hours GP centers (2015- 2016). Adjusted logistic regression models, with natural cubic splines and random intercepts, explored the associations between U-scores and three outcomes: referral to secondary care, antibiotic prescription, and other medication use. Intraclass correlation coefficients assessed between-center variability.

resultsUnadjusted and adjusted percentages of the three outcomes showed similar trends. 24.5% of consultations were classified at low urgency levels (U4-5) before the consultation. Adjusted referral probabilities decreased with lower urgency: 29% (U1) to 0.8% (U5). Strikingly, antibiotic prescription rates were highest for U3 (26.2%) and U4 (25.1%). The probability of other medication prescriptions decreased steadily across urgency levels. ICCs revealed low between-center variability, which did not decrease after accounting for U-scores.

conclusionsHigher NTS urgency classifications are associated with increased referral rates during fever-related out-of-hours GP consultations. However, overall referral rates remain low, while a substantial number of consultations are pre-classified by the NTS as low urgency, contributing to a high workload of unnecessary consultations that highlights the need for more efficient triage and resource allocation.

Indexed as

After-Hours CareFeverPrimary Health CareTriageAnti-Bacterial AgentsChildChild, PreschoolFemaleHumansInfantLogistic ModelsMaleNetherlandsReferral and ConsultationAnti-Bacterial Agentsafter-hours careclinical decision-Makingfevergeneral practicepediatricstriage

Identifiers

PMID41955008
PMCPMC13064533

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