Evidence map›Paper›PMID 42154383›Full record

ArticleJournal of general internal medicine2026

Effect of a Multi-specialty E-consultation Service on Hospital Referrals: An Interrupted Time-Series Study in the Netherlands.

Ken M M Peeters, Dennis M J Muris, Luc G Gidding, Karin Hek, Mariëlle Krekels, Jochen W L Cals

Abstract read
In one paragraph

Article in Journal of general internal medicine, 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

What it found

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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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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

6 authors.

Ken M M PeetersDepartment of Family Medicine, Care and Public Health Research Institute (CAPHRI), Maastricht University, Peter Debyeplein 1, 6229 HA, Maastricht, The Netherlands. k.peeters@maastrichtuniversity.nl.ORCID http://orcid.org/0000-0003-4966-8936
Dennis M J MurisGGD Zuid-Limburg (Public Health Institute South-Limburg), Heerlen, The Netherlands.
Luc G GiddingMedical Coordination Centre Omnes, Sittard, The Netherlands.
Karin HekNivel (Netherlands Institute for Health Services Research), Utrecht, The Netherlands.
Mariëlle KrekelsZuyderland Medical Centre, Sittard, The Netherlands.
Jochen W L CalsDepartment of Family Medicine, Care and Public Health Research Institute (CAPHRI), Maastricht University, Peter Debyeplein 1, 6229 HA, Maastricht, The Netherlands.

Funding

VEZN (Versterking Eerstelijn Zuid-Nederland) P2050PTC
6 · The paper itself

Abstract

backgroundE-consultation services between family physicians and hospital specialists may help manage rising healthcare costs and improve care accessibility. Yet, robust evaluations of e-consultation impact on hospital referral patterns remain scarce.

objectiveTo evaluate the effect of a multi-specialty e-consultation service between family physicians and medical specialists on hospital referral rates.

designAn interrupted time series analysis was conducted in the Netherlands between 2015 and 2023, including family practices that submitted e-consultations to 11 specialties at a regional hospital.

participantsFamily practices from a specific region in the Netherlands that used the e-consultation service were included as the exposed group, and a national sample of family practices from the Nivel Primary Care Database served as the control group.

interventionImplementation of a multi-specialty e-consultation service. MAIN MEASURES: Monthly referral rates for outpatient clinic visits were analyzed utilizing seasonal autoregressive integrated moving average (SARIMA) models and difference-in-differences analyses to evaluate trends before and after the introduction of the e-consultation service. Sensitivity analyses were performed using various lag periods, and subgroup analyses were conducted based on e-consultation volumes and family physician experience. KEY

resultsThere was a limited overall impact of e-consultations on hospital referral trends. Internal Medicine showed a regional reduction in referrals (-1.56% per month, p < 0.01), though this was not significant compared to national trends (difference-in-difference: 0.68%, p = 0.24). Surgery and Neurology showed significant regional increases (Surgery: + 1.76% per month, p < 0.01; Neurology: + 1.75% per month, p = 0.01), which were also significant compared to national trends in the difference-in-difference analysis (Surgery: -1.73%, p < 0.01; Neurology: -1.81%, p = 0.01). Subgroup and sensitivity analyses did not reveal consistent patterns or delayed effects.

conclusionsSpecialties did not show a clinically meaningful reduction in referrals, likely due to the relatively small proportion of e-consultations compared to regular referrals. While the overall effect was limited, targeted implementation of e-consultations within specific contexts may help optimize referral practices. Further research is needed to explore the contextual factors that influence the effectiveness of e-consultations.

Indexed as

Family PracticeReferral and ConsultationRemote ConsultationSpecializationHumansInterrupted Time Series AnalysisNetherlandse-consulte-consultationelectronic consultation

Identifiers

PMID42154383
PMCPMC13631177

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