Evidence map›Paper›PMID 28646876›Full record

ArticleBMC health services research2017

Not all waits are equal: an exploratory investigation of emergency care patient pathways.

Dawn Swancutt, Sian Joel-Edgar, Michael Allen, Daniel Thomas, Heather Brant, Jonathan Benger, Richard Byng, Jonathan Pinkney

Abstract read
In one paragraph

Article in BMC health services research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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  8. The Role of Value Stream Mapping in Healthcare Services: A Scoping Review.International journal of environmental research and public health · 2021
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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.

Dawn SwancuttPeninsula Schools of Medicine and Dentistry, University of Plymouth, ITTC Building, Plymouth Science Park, Plymouth, PL6 8BX, UK. Dawn.Swancutt@plymouth.ac.uk.ORCID 0000-0003-1477-9935
Sian Joel-EdgarDepartment of Computer Science, University of Bath, Bath, UK.
Michael AllenMedical School, University of Exeter, Exeter, UK.
Daniel ThomasPeninsula Schools of Medicine and Dentistry, University of Plymouth, ITTC Building, Plymouth Science Park, Plymouth, PL6 8BX, UK.
Heather BrantSchool of Social and Community Medicine, University of Bristol, Bristol, UK.
Jonathan BengerFaculty of Health and Applied Sciences, University of the West of England, Bristol, UK.
Richard ByngPeninsula Schools of Medicine and Dentistry, University of Plymouth, ITTC Building, Plymouth Science Park, Plymouth, PL6 8BX, UK.
Jonathan PinkneyPeninsula Schools of Medicine and Dentistry, University of Plymouth, ITTC Building, Plymouth Science Park, Plymouth, PL6 8BX, UK.

Funding

Department of Health 10/1010/06
6 · The paper itself

Abstract

backgroundIncreasing pressure in the United Kingdom (UK) urgent care system has led to Emergency Departments (EDs) failing to meet the national requirement that 95% of patients are admitted, discharged or transferred within 4-h of arrival. Despite the target being the same for all acute hospitals, individual Trusts organise their services in different ways. The impact of this variation on patient journey time and waiting is unknown. Our study aimed to apply the Lean technique of Value Stream Mapping (VSM) to investigate care processes and delays in patient journeys at four contrasting hospitals.

methodsVSM timing data were collected for patients accessing acute care at four hospitals in South West England. Data were categorised according to waits and activities, which were compared across sites to identify variations in practice from the patient viewpoint. We included Public and Patient Involvement (PPI) to fully interpret our findings; observations and initial findings were considered in a PPI workshop.

resultsOne hundred eight patients were recruited, comprising 25,432 min of patient time containing 4098 episodes of care or waiting. The median patient journey was 223 min (3 h, 43 min); just within the 4-h target. Although total patient journey times were similar between sites, the stage where the greatest proportion of waiting occurred varied. Reasons for waiting were dominated by waits for beds, investigations or results to be available. From our sample we observed that EDs without a discharge/clinical decision area exhibited a greater proportion of waiting time following an admission or discharge decision. PPI interpretation indicated that patients who experience waits at the beginning of their journey feel more anxious because they are 'not in the system yet'.

conclusionsThe novel application of VSM analysis across different hospitals, coupled with PPI interpretation, provides important insight into the impact of care provision on patient experience. Measures that could reduce patient waiting include automatic notification of test results, and the option of discharge/clinical decision areas for patients awaiting results or departure. To enhance patient experience, good communication with patients and relatives about reasons for waits is essential.

Indexed as

Critical PathwaysEmergency Service, HospitalEmergency TreatmentAdolescentAdultAgedAged, 80 and overAmbulatory CareBehavior Observation TechniquesEnglandFemaleHospitalsHumansMaleMiddle AgedPatient DischargeAcute careEmergency admissionsEmergency departmentHealth service researchPatient carePatient public involvementValue stream mapping

Identifiers

PMID28646876
PMCPMC5482933

What OpenQuestion holds

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LicenceCC BY
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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.