Evidence map›Paper›PMID 42166769›Full record

ArticleJMIR cancer2026

Implementing UK Oncology Nursing Society-Informed Digital Symptom Triage With Episode-Based Review in Routine NHS Acute Oncology: Service Evaluation.

Mohamed Sheeraz Mohamed Azhar, Rishabh Ray, Sagar Sharma, Hiten Chauhan, Margaret Ruth Robinson, Yetunde Owoseni, Anupama Vijay, Sadaqat Hussain

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

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

8 authors.

Mohamed Sheeraz Mohamed AzharUniversity Hospitals of Leicester NHS Trust, Leicester, England, United Kingdom.ORCID 0000-0002-5647-8666
Rishabh RayUniversity Hospitals of Leicester NHS Trust, Leicester, England, United Kingdom.ORCID 0009-0001-6827-4433
Sagar SharmaUniversity Hospitals of Leicester NHS Trust, Leicester, England, United Kingdom.ORCID 0009-0001-1699-2847
Hiten ChauhanUniversity Hospitals of Leicester NHS Trust, Leicester, England, United Kingdom.ORCID 0009-0005-3682-7389
Margaret Ruth RobinsonUniversity Hospitals of Leicester NHS Trust, Leicester, England, United Kingdom.ORCID 0009-0002-3768-7291
Yetunde OwoseniUniversity Hospitals of Leicester NHS Trust, Leicester, England, United Kingdom.ORCID 0009-0003-0417-2467
Anupama VijayUniversity Hospitals of Leicester NHS Trust, Leicester, England, United Kingdom.ORCID 0009-0000-7031-7490
Sadaqat HussainUniversity Hospitals of Leicester NHS Trust, Leicester, England, United Kingdom.ORCID 0000-0002-6082-180X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients receiving systemic anticancer therapy (SACT) can deteriorate clinically between scheduled appointments; yet, acute oncology services often rely on reactive helplines with limited longitudinal symptom visibility.

objectiveThe aim of this study was to evaluate the feasibility, safety, and workflow integration of OncsCare, a digital symptom triage platform mapping patient-reported symptoms to UK Oncology Nursing Society (UKONS) acuity tiers with episode-based clinician review.

methodsThis 10-week service evaluation (July to September 2025) implemented OncsCare within a UK tertiary acute oncology service. Patients completed daily symptom check-ins mapped to UKONS-informed green/amber/red tiers. Alerts were grouped into episode-level triage events using prespecified rules (48-hour window, symptom-domain continuity) to represent the operational workload. Outcomes included engagement, alert distribution, escalation pathways, timeliness of clinical response, and safety signals via structured case-finding.

resultsThirty-two patients participated (none withdrew) in this study. Daily check-in completion rate was 91.7% (1444/1574 expected patient-days). From 362 amber/red alerts, 62 episodes were generated; 38.7% (24/62) were clinically actionable, resulting in telephone management (n=12, 50%), acute care assessment (n=9, 37.5%), emergency referral (n=2, 8.3%), or admission (n=1, 4.2%). Median time to first clinical response for in-hours red alerts was 47 minutes. Predefined safety case-finding identified no intervention-attributable safety signals. Patients reported increased home reassurance (n=17, 85%), and clinicians reported improved situational awareness without increased workload.

conclusionsUKONS-informed digital triage with episode-based review demonstrated feasibility, with no intervention-attributable safety signals identified in this small single-center evaluation. This operational model addresses alert fragmentation and supports prospective multicenter evaluation.

Indexed as

Digital HealthMobile ApplicationsNeoplasmsOncology NursingAdultAgedFemaleHumansMaleMiddle AgedPatient Reported Outcome MeasuresTertiary Health CareUnited Kingdomacute oncologydigital healthimplementation sciencepatient-reported outcomesquality improvementsymptom monitoringtriageUKONS

Identifiers

PMID42166769
PMCPMC13237529

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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.