Evidence map›Paper›PMID 42667583›Full record

ArticleJournal of clinical monitoring and computing2026

Transition from mandatory to discretionary nurse-measured MEWS assessment in a continuously monitored surgical ward: Diagnostic performance of wearable-derived early warning scores.

E E Jerry, M A Afonso, J C De Vries, A Akkermans, S Turco, A R Bouwman, S W Nienhuijs

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Article in Journal of clinical monitoring and computing, 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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0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

E E JerryDepartment of Surgery, Catharina Hospital Eindhoven, Michelangelolaan 2, Eindhoven, 5623 EJ, The Netherlands. ephrahim.jerry@catharinaziekenhuis.nl.ORCID http://orcid.org/0009-0006-7871-5884
M A AfonsoDepartment of Electrical Engineering, Eindhoven University of Technology, Groene Loper 19, Eindhoven, 5612 AP, The Netherlands.ORCID http://orcid.org/0000-0003-3100-1906
J C De VriesDepartment of Electrical Engineering, Eindhoven University of Technology, Groene Loper 19, Eindhoven, 5612 AP, The Netherlands.ORCID http://orcid.org/0009-0008-5688-653X
A AkkermansDepartment of Anesthesiology, Intensive Care and Pain Medicine, Catharina Hospital Eindhoven, Eindhoven, 5623 EJ, The Netherlands.ORCID http://orcid.org/0000-0002-6949-4913
S TurcoDepartment of Electrical Engineering, Eindhoven University of Technology, Groene Loper 19, Eindhoven, 5612 AP, The Netherlands.ORCID http://orcid.org/0000-0002-1520-3930
A R BouwmanDepartment of Electrical Engineering, Eindhoven University of Technology, Groene Loper 19, Eindhoven, 5612 AP, The Netherlands.ORCID http://orcid.org/0000-0002-2051-5947
S W NienhuijsDepartment of Surgery, Catharina Hospital Eindhoven, Michelangelolaan 2, Eindhoven, 5623 EJ, The Netherlands.ORCID http://orcid.org/0000-0002-0104-9477

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early detection of clinical deterioration on surgical wards is vital to prevent adverse outcomes. Conventional ward monitoring using the Modified Early Warning Score (MEWS) relies on intermittent nurse-measured vital signs, but its role may change when continuous wearable monitoring is already available. This study evaluated the transition from mandatory to discretionary nurse-measured MEWS assessment in a continuously monitored surgical ward and compared the diagnostic performance of two wearable-derived Early Warning Scores (EWS) with conventional MEWS. In this single-center cohort study conducted between October 2024 and June 2025, postoperative patients were continuously monitored using a wearable sensor measuring heart rate, respiratory rate, and oxygen saturation. Continuous wearable monitoring was available throughout the entire study period. During Phase 1, nurse-measured MEWS assessments were mandatory according to local protocol. During Phase 2, nurse-measured MEWS assessments were performed at staff discretion. Two wearable-derived algorithms were evaluated: the Continuous Remote EWS (CREWS), based on a previously developed algorithm, and Remote 3 EWS (R3EWS), a modified version of the hospital's standard MEWS using three parameters. The primary outcome was diagnostic accuracy for clinical deterioration, defined as postoperative complications graded Clavien-Dindo ≥ II. A total of 544 admissions (516 patients) were included, of which 98 admissions (18%) experienced clinical deterioration (comprising 154 clinical deterioration events). Following the transition from mandatory to discretionary nurse-measured MEWS assessment, intermittent nurse-measured vital signs were performed less frequently, while MEWS ≥ 3 occurred more often, resulting in higher MEWS sensitivity and lower specificity. In the separate diagnostic performance analysis, R3EWS showed slightly higher AUROC values (0.61) compared with MEWS (0.58) and CREWS (0.59), although differences were modest. Wearable-derived alarm frequency increased 6-8 h before clinical deterioration. In a surgical ward where continuous wearable monitoring was already available, transition from mandatory to discretionary nurse-measured MEWS assessment was associated with fewer intermittent observations, higher MEWS sensitivity, and lower specificity. Wearable-derived EWS algorithms showed comparable but modest discriminative performance relative to conventional MEWS. The increased number of alerts highlights the need for prospective validation and clear protocols for integrating continuous monitoring data into ward escalation workflows.

Indexed as

Continuous monitoringEarly warning scoreSurgical wardVital parametersWearable sensor

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Registered trials

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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.