ArticleBMC health services research2017
Not all waits are equal: an exploratory investigation of emergency care patient pathways.
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.
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.
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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.
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Who cites it
12 citing papers in PubMed.
- Factors Associated with Patients Leaving Without Being Seen in a Canadian Emergency Department.The western journal of emergency medicine · 2025Article
- Fractured Neck of Femur Clinical Pathway Use in Tasmanian Emergency Departments: A Retrospective Study.Emergency medicine Australasia : EMA · 2025Article
- Using patient journey mapping and provider workflows to understand process barriers to pediatric mental and behavioral health care in emergency departments.Applied ergonomics · 2025Article
- Reporting and conducting patient journey mapping research in healthcare: A scoping review.Journal of advanced nursing · 2023Article
- Modelling Granular Process Flow Information to Reduce Bottlenecks in the Emergency Department.Healthcare (Basel, Switzerland) · 2022Article
- Association of Socioeconomic Status With Outcomes and Care Quality in Patients Presenting With Undifferentiated Chest Pain in the Setting of Universal Health Care Coverage.Journal of the American Heart Association · 2022Article
- Implementation of Triage System and Shortening Patient Journey Time to Prevent COVID-19 Transmission in a University Hospital during a Pandemic.International journal of environmental research and public health · 2021Article
- The Role of Value Stream Mapping in Healthcare Services: A Scoping Review.International journal of environmental research and public health · 2021Article
- Factors explaining variation in recommended care pathways following hospital-presenting self-harm: a multilevel national registry study.BJPsych open · 2020Article
- Impact of a Commercial Artificial Intelligence-Driven Patient Self-Assessment Solution on Waiting Times at General Internal Medicine Outpatient Departments: Retrospective Study.JMIR medical informatics · 2020Article
- How improving access times had unforeseen consequences: a case study in a Dutch hospital.BMJ open · 2019Article
- Admission Decision-Making in Hospital Emergency Departments: The Role of the Accompanying Person.Global qualitative nursing researchArticle
Corrections and comments
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Authors and funding
8 authors.
Funding
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.
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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.