ArticleFrontiers in stroke2024
Professional and public views about early return of patients from Comprehensive Stroke Centers to local Acute Stroke Centers in England following displacement by emergency care pathways.
Article in Frontiers in stroke, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Mechanical thrombectomy is a highly effective emergency treatment for selected cases of ischemic stroke but can only be provided at hospitals with appropriate facilities and interventionists. Many patients require transfers for treatment, including some who are subsequently considered ineligible. To maintain capacity at thrombectomy centers, displaced patients should soon be returned to their local hospital following assessment and treatment, but return processes vary. We sought the views of stroke and ambulance services, clinicians, and public representatives about the timing, planning and implementation of acceptable processes to inform recommendations about the early return of patients (< 24 h) displaced as a result of thrombectomy pathways. Methods: Three workstreams were undertaken between 01/05/2023 and 31/10/2023: 1. An online survey of hospital stroke services supplemented by a convenience poll of stroke clinicians. 2. An online survey of ambulance services. 3. Focus groups with stroke patients and carers using a topic guide describing typical early return scenarios. The surveys used multiple choice answers supplemented by free text boxes for additional comments. Data were reported descriptively without statistical comparison. Focus group data were analyzed thematically using emergent coding. Results: Responses were obtained from 32 stroke services, 44 stroke clinicians, and 11 ambulance services. Stroke service and clinician respondents generally supported early return for most clinical scenarios but advised caution regarding transfers < 4 h after thrombectomy and < 24 h for hemorrhagic stroke due to the higher risk of complications. Ambulance respondents highlighted travel time, immediate service pressures and crew type as influences upon providing early returns, but supported 24/7 provision. Twenty-nine patients and four carers participated in three focus groups. There was general acceptance of early return processes but these participants emphasized the need for clear communication and individualized decisions based upon clinical status, age, journey length, patient preferences and individual contextual factors. Conclusions: All contributors were generally supportive of early patient returns to maintain thrombectomy center capacity, but the results suggest important organizational, clinical, and patient-focused considerations for successful implementation.
Indexed as
Identifiers
What OpenQuestion holds
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.