Evidence map›Paper›PMID 41726585›Full record

ReviewJRSM open2026

How should services for high-intensity users be organised? A scoping review of published literature with recommendations for future research and delivery of care.

Peter Greengross, Ismail Ismail, Callum Parr, Rebecca Wright, Sophie Hunter

Abstract readReview
In one paragraph

Review in JRSM open, 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

5 authors.

Peter GreengrossDepartment of Primary Care & Public Health, Imperial College, London, UK.ORCID https://orcid.org/0009-0000-4218-7377
Ismail IsmailDepartment of Primary Care & Public Health, Imperial College, London, UK.ORCID https://orcid.org/0009-0001-8805-6978
Callum ParrDepartment of Primary Care & Public Health, Imperial College, London, UK.
Rebecca WrightDepartment of Primary Care & Public Health, Imperial College, London, UK.
Sophie HunterNET (Neuro, Emergencies, Trauma) Research Team, Imperial College Healthcare NHS Trust, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: High Intensity Users (HIUs) of Urgent and Emergency Care (UEC) services account for disproportionately high numbers of Emergency Department (ED) attendances, ambulance journeys and non-elective admissions. This review aimed to assess the quality and completeness of evidence for understanding the characteristics of HIUs, how best to identify and differentiate them, the effectiveness of services to support them, and to identify areas for further research. Design: Scoping review of UK-based peer-reviewed literature. Setting: Four databases (January 2010 to October 2025) - additional grey literature identified through hand searching and Google searches. Participants: Twenty-eight published articles (19 peer-reviewed papers, 9 grey literature). Main outcome measures: HIU definitions, descriptions, effectiveness of care, characteristics of successful programmes and interventions. Results: HIUs are generally defined by the frequency of UEC use rather than diagnosis or need, despite being highly heterogeneous. The national model of care adopted in England relies largely on individual Case Managers supporting small numbers of HIUs. Although most published evaluations report reductions in ED attendances and admissions, and positive impacts on individual well-being, they are generally small, uncontrolled, and short-term with poorly defined interventions and minimal evidence that they reduce overall demand on UEC services. Conclusions: Further research is needed to better characterise HIUs, drivers of their behaviour and risk factors to determine which HIUs benefit from which interventions. Services need to operate at scale using near-real time data, be integrated with health as well as social care services, and use standardised, granular definitions of HIUs to guide appropriate interventions.

Indexed as

admission avoidancehigh intensity usersurgent and emergency care

Identifiers

PMID41726585
PMCPMC12921198

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.