ArticleHERD2022
Comparing Sources of Disruptions to Telemedicine-Enabled Stroke Care in an Ambulance.
Article in HERD, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.
- Health Economic & Implementation Determinants of Prehospital Stroke Triage Tools: A Systematic Review.Journal of evaluation in clinical practice · 2026Pooled it
- Prehospital Stroke Care Part 2: On-Scene Evaluation and Management by Emergency Medical Services Practitioners.Stroke · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
objectiveThe purpose of this study is to understand the nature and source of disruptions in an ambulance during the telemedicine-based caregiving process for stroke patients to enhance the ambulance design for supporting telemedicine-based care.
backgroundTelemedicine is emerging as an efficient approach to provide timely remote assessment of patients experiencing acute stroke in an ambulance. These consults are facilitated by connecting the patient and paramedic with a remotely located neurologist and nurse using cameras, audio systems, and computers. However, ambulances are typically retrofitted to support telemedicine-enabled care, and the placement of these systems inside the ambulance might lead to spatial challenges and disruptions during patient evaluation.
methodVideo recordings of 13 simulated telemedicine-based stroke consults were coded and analyzed using an existing systems-based flow disruption (FD) taxonomy. For each observed disruption-the type, severity or impact, location in the ambulance, and equipment involved in the disruption were recorded.
resultsSeat size, arrangement of assessment equipment, location of telemedicine equipment (computer workstation), and design of telemedicine camera were among the factors that impacted telemedicine-related disruptions. The left ambulance seat zone and head of the patient bed were more involved in environmental hazard-related disruptions, while the right zone of the ambulance was more prone to interruptions and communication-related disruptions.
conclusionAdequate evaluation space for the paramedic, proper placement of evaluation equipment, and telemedicine computer location could facilitate the stroke care evaluation process and reduce FDs in the ambulance.
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Registered trials
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.