Telemedicine networks for acute stroke: an analysis of global coverage, gaps and opportunities.

Coverage Guidelines Implementation Networks Stroke Telestroke

Journal

International journal of stroke : official journal of the International Stroke Society
ISSN: 1747-4949
Titre abrégé: Int J Stroke
Pays: United States
ID NLM: 101274068

Informations de publication

Date de publication:
26 Oct 2024
Historique:
medline: 26 10 2024
pubmed: 26 10 2024
entrez: 26 10 2024
Statut: aheadofprint

Résumé

Despite the proven efficacy of telestroke in improving clinical outcomes by providing access to specialized expertise and allowing rapid expert hyperacute stroke management and decision-making, detailed operational evidence is scarce, especially for less developed or lower - income regions. We aimed to map the global telestroke landscape and characterize existing networks. We employed a four-tiered approach to comprehensively identify telestroke networks, primarily involving engagement with national stroke experts, stroke societies, and international stroke authorities. A carefully designed questionnaire was then distributed to the leaders of all identified networks to assess these networks' structures, processes, and outcomes. We identified 254 telestroke networks distributed across 67 countries. High-income countries (HICs) concentrated 175 (69%) of the networks. No evidence of telestroke services was found in 58 (30%) countries. From the identified networks, 88 (34%) completed the survey, being 61 (71%) located in HICs. Network set-up was highly heterogenous, ranging from 17 (22%) networks with more than twenty affiliated hospitals, providing thousands of annual consultations using purpose-built highly specialized technology, to 11 (13%) networks with fewer than 120 consultations annually using generic videoconferencing equipment. Real-time video and image transfer was employed in 64 (75%) networks, while 62 (74%) conducting quality monitoring. Most networks established in the last three years were located in low- and middle-income countries (LMICs). This comprehensive global survey of telestroke networks found significant variation in network coverage, set-up, and technology use. Most services are in HICs, and few services are in LMICs, although an emerging trend of new networks in these regions marks a pivotal moment in global telestroke care. The wide variation in quality monitoring practices across networks, with many failing to report key performance metrics, underscores the urgent need for standardized, resource-appropriate quality assurance measures that can be adapted to diverse settings.

Sections du résumé

BACKGROUND UNASSIGNED
Despite the proven efficacy of telestroke in improving clinical outcomes by providing access to specialized expertise and allowing rapid expert hyperacute stroke management and decision-making, detailed operational evidence is scarce, especially for less developed or lower - income regions.
AIM UNASSIGNED
We aimed to map the global telestroke landscape and characterize existing networks.
METHODS UNASSIGNED
We employed a four-tiered approach to comprehensively identify telestroke networks, primarily involving engagement with national stroke experts, stroke societies, and international stroke authorities. A carefully designed questionnaire was then distributed to the leaders of all identified networks to assess these networks' structures, processes, and outcomes.
RESULTS UNASSIGNED
We identified 254 telestroke networks distributed across 67 countries. High-income countries (HICs) concentrated 175 (69%) of the networks. No evidence of telestroke services was found in 58 (30%) countries. From the identified networks, 88 (34%) completed the survey, being 61 (71%) located in HICs. Network set-up was highly heterogenous, ranging from 17 (22%) networks with more than twenty affiliated hospitals, providing thousands of annual consultations using purpose-built highly specialized technology, to 11 (13%) networks with fewer than 120 consultations annually using generic videoconferencing equipment. Real-time video and image transfer was employed in 64 (75%) networks, while 62 (74%) conducting quality monitoring. Most networks established in the last three years were located in low- and middle-income countries (LMICs).
CONCLUSIONS UNASSIGNED
This comprehensive global survey of telestroke networks found significant variation in network coverage, set-up, and technology use. Most services are in HICs, and few services are in LMICs, although an emerging trend of new networks in these regions marks a pivotal moment in global telestroke care. The wide variation in quality monitoring practices across networks, with many failing to report key performance metrics, underscores the urgent need for standardized, resource-appropriate quality assurance measures that can be adapted to diverse settings.

Identifiants

pubmed: 39460528
doi: 10.1177/17474930241298450
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

17474930241298450

Auteurs

Christine Tunkl (C)

Dept of Neurology, University Hospital Heidelberg, Germany.

Ayush Agarwal (A)

Department of Neurology, All India Institute of Medical Sciences, New Delhi, India.

Emily Ramage (E)

Florey Institute of Neuroscience and Mental Health, and Western Health, Victoria, Australia.

Faddi Saleh Velez (FS)

Department of Neurology, University of Oklahoma Health Sciences Center, Oklahoma City, Ok, USA.

Tamer Roushdy (T)

Department of Neurology, Faculty of Medicine, Ain Shams University, Cairo, Egypt.

Teresa Ullberg (T)

Dept of Neurology, Skane University Hospital, Clinical Sciences, Lund University, Sweden.

Linxin Li (L)

Wolfson Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford. UK.

Leonardo Augusto Carbonera (LA)

Department of Neurology and Neurosurgery, Hospital Moinhos de Vento, Porto Alegre, Brazil.

Abdul Hanif Khan Yusof Khan (AHK)

Department of Neurology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia.

Bogdan Ciopleias (B)

Department of Neurology, Faculty of Medicine, Transilvania University, Brasov, Romania.

Zhe Kang Law (ZK)

Department of Medicine, Faculty of Medicine, National University of Malaysia (UKM), Kuala Lumpur, Malaysia.

Aristeidis H Katsanos (AH)

Department of Medicine (Neurology), McMaster University and Population Health Research Institute, Hamilton, ON, Canada.

Mirjam R Heldner (MR)

Department of Neurology, Inselspital, University Hospital and University of Bern, Switzerland.

Maria Khan (M)

Department of Neurology, Rashid Hospital, Mohammed bin Rashid University of Medical and Health Sciences, Dubai, UAE.

Sarah Shali Matuja (SS)

Department of Medicine, Weill Bugando School of Medicine, Mwanza, Tanzania.

Matias J Alet (MJ)

Departament of Neurology, Comprehensive Stroke Center, Fleni. Ciudad de Buenos Aires, Argentina.

Javier Lagos-Servellon (J)

Hospital CEMESA/HNMCR, San Pedro Sula, Honduras.

Jatinder S Minhas (JS)

Cerebral Haemodynamics in Ageing and Stroke Medicine (CHiASM), Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom; NIHR Leicester Biomedical Research Centre, BHF Cardiovascular Research Centre, Glenfield Hospital, Leicester, United Kingdom.

Susanna Zuurbier (S)

Department of Neurology, University Hospital Antwerp, Belgium.

Maria Giulia Mosconi (MG)

Internal Vascular and Emergency Medicine - Stroke Unit, University of Perugia, Perugia, Italy.

Radhika Lotlikar (R)

Department of Neurology, Deenanath Mangeshkar Hospital and Research Center, Pune, Maharashtra, India.

Ahmed Elkady (A)

Saudi German Hospitals, Jeddah, Saudi Arabia.

Stefan T Gerner (ST)

Dept of Neurology, University Hospital Erlangen, Erlangen, Germany.

Shirsho Shreyan (S)

Rajshahi Medical College, Rajshahi, Bangladesh.

Alexandra Krauss (A)

Dept of Neurology, University Hospital Heidelberg, Germany.

Christoph Gumbinger (C)

Dept of Neurology, University Hospital Heidelberg, Germany.

Padma Mv Srivastava (PM)

Department of Neurology, All India Institute of Medical Sciences, New Delhi, India.

Pawel Kiper (P)

Healthcare Innovation Technology Lab, San Camillo IRCCS, Venice, Italy.

Robin Ohannessian (R)

Vickino Institute of Telehealth (VIT), Vickino, Yerevan, Armenia.

Anne Berberich (A)

Department of Neurology, Klinikum Ludwigshafen, Ludwigshafen, Germany.

Gisele Sampaio Silva (G)

Albert Einstein Hospital, Sao Paulo, Brazil and Departamento de Neurologia da Universidade Federal de São Paulo (UNIFESP).

Anna Ranta (A)

Department of Medicine, University of Otago, Wellington, New Zealand.

Classifications MeSH