Evidence map›Paper›PMID 42698418›Full record

ArticleFrontiers in stroke2026

Quality monitoring in telestroke networks: real-world insights from survey response data and literature review.

Ayush Agarwal, Christine Tunkl, Alexandra Krauss, Emily R Ramage, Mirjam R Heldner, Stefan T Gerner, Teresa Ullberg, Leonardo A Carbonera, Jatinder S Minhas, Aristeidis Katsanos and 14 more

Abstract read
In one paragraph

Article in Frontiers in stroke, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

24 authors.

Ayush AgarwalDepartment of Neurology, All India Institute of Medical Sciences, New Delhi, India.
Christine TunklDepartment of Neurology, University Hospital Heidelberg, Heidelberg, Germany.
Alexandra KraussDepartment of Neurology, University Hospital Heidelberg, Heidelberg, Germany.
Emily R RamageFlorey Institute of Neuroscience and Mental Health, Heidelberg, VIC, Australia.
Mirjam R HeldnerDepartment of Neurology, Inselspital, University Hospital and University of Bern, Bern, Switzerland.
Stefan T GernerDepartment of Neurology, University Hospital Erlangen, Erlangen, Germany.
Teresa UllbergDepartment of Neurology, Skane University Hospital, Lund University, Lund, Sweden.
Leonardo A CarboneraDepartment of Neurology and Neurosurgery, MOVE Academic Research Organization, Hospital Moinhos de Vento, Porto Alegre, Brazil.
Jatinder S MinhasNIHR Leicester Biomedical Research Centre, Division of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom.
Aristeidis KatsanosDepartment of Medicine (Neurology), McMaster University and Population Health Research Institute, Hamilton, ON, Canada.
Matias J AletDepartment of Neurology, Comprehensive Stroke Center, Fleni, Buenos Aires, Argentina.
Abdul H K Y KhanDepartment of Neurology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Malaysia.
Faddi Saleh ValezDepartment of Neurology, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.
Tamer RoushdyNeurology department, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Linxin LiWolfson Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Bogdan CiopleiasDepartment of Neurology, Faculty of Medicine, Transilvania University, Brașov, Romania.
Zhe Kang LawNeurology Unit, Department of Medicine, Faculty of Medicine, Hospital Canselor Tuanku Muhriz, National University of Malaysia, Kuala Lumpur, Malaysia.
Radhika LotlikarDepartment of Neurology, Deenanath Mangeshkar Hospital and Research Center, Pune, Maharashtra, India.
Susanna M ZuurbierDepartment of Neurology, Antwerp University Hospital, Edegem, Belgium.
Maria G MosconiInternal Vascular and Emergency Medicine-Stroke Unit, University of Perugia, Perugia, Italy.
Shirsho ShreyanRajshahi Medical College, Rajshahi, Bangladesh.
Shakti ShresthaSchool of Pharmacy and Pharmaceutical Sciences, The University of Queensland, Brisbane, QLD, Australia.
Gisele S SilvaDepartamento de Neurologia da Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil.
Annemarei RantaDepartment of Medicine, University of Otago, Dunedin, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: The objective of telestroke services is to enhance the quality of stroke care delivered to remote locations. The American Heart Association/ American Stroke Association (AHA/ASA) and the European Stroke Organization (ESO) have issued recommendations for quality monitoring in telestroke. To provide real-world insights, our study analyzed data on quality monitoring practices among telestroke networks. Methodology: This is a secondary analysis of a global telestroke survey previously conducted by our group. The focus of the current analysis was on reported quality metrics. We also reviewed articles from our prior systematic review (SR) of the literature on telestroke networks to extract quality metrics from published data and compared these with those reported in survey responses. Results: Eighty-eight of 254 networks responded to the survey. The SR analyzed 92 studies describing 64 acute telestroke networks across 17 countries. Quality monitoring was performed in 64 of 88 surveyed networks (72%), and it was described in all networks identified in the published literature. The most frequently reported performance indicator across both data sources was thrombolysis rate (93% in survey, 87% in SR). Other recommended indicators were reported less frequently in both the survey and the SR, with recanalization rate reported as 54% vs. 35%, discharge NIHSS as 65% vs. 1%, and in-hospital mortality as 78% vs. 31%, respectively. Conclusion: Our study is the first real-world insight into the state of quality monitoring in telestroke, both from peer-reviewed literature and self-reported data. The observed heterogeneity and low uptake of recommended quality indicators highlight the potential need for consensus on a standardized minimal quality monitoring dataset to facilitate feasible quality monitoring and comparison of outcomes across networks.

Indexed as

quality monitoringquality monitoring and evaluationtelestroketelestroke medicinetelestroke models

Identifiers

PMID42698418
PMCPMC13541472

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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.