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The MAPSTROKE project: A computational strategy to improve access to acute stroke care.
Carbonera, Leonardo Augusto; Rivillas, Julián Alejandro; Gordon Perue, Gillian; da Luz Dorneles, Leonardo; Boiani, Mateus; de Souza, Ana Cláudia; Sampaio Silva, Gisele; Dorn, Marcio; Martins, Sheila Cristina Ouriques.
Afiliação
  • Carbonera LA; Department of Neurology and Neurosurgery, Hospital Moinhos de Vento, Porto Alegre, Brazil.
  • Rivillas JA; Department of Neurology, Fundación Valle del Lili Hospital Universitario, Cali, Colombia.
  • Gordon Perue G; Public Health Department, Universidad Icesi, Cali, Colombia.
  • da Luz Dorneles L; Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, USA.
  • Boiani M; Institute of Informatics and Center for Biotechnology, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.
  • de Souza AC; Institute of Informatics and Center for Biotechnology, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.
  • Sampaio Silva G; Department of Neurology and Neurosurgery, Hospital Moinhos de Vento, Porto Alegre, Brazil.
  • Dorn M; Department of Neurology, Universidade Federal de São Paulo (UNIFESP) and Hospital Israelita Albert Einstein, São Paulo, Brazil.
  • Martins SCO; Institute of Informatics and Center for Biotechnology, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.
Int J Stroke ; 19(7): 747-753, 2024 Aug.
Article em En | MEDLINE | ID: mdl-38346937
ABSTRACT

BACKGROUND:

Global access to acute stroke treatment is variable worldwide, with notable gaps in low and middle-income countries (LMIC), especially in rural areas. Ensuring a standardized method for pinpointing the existing regional coverage and proposing potential sites for new stroke centers is essential to change this scenario.

AIMS:

To create and apply computational strategies (CSs) to determine optimal locations for new acute stroke centers (ASCs), with a pilot application in nine Latin American regions/countries.

METHODS:

Hospitals treating acute ischemic stroke (AIS) with intravenous thrombolysis (IVT) and meeting the minimum infrastructure requirements per structured protocols were categorized as ASCs. Hospitals with emergency departments, noncontrast computed tomography (NCCT) scanners, and 24/7 laboratories were identified as potential acute stroke centers (PASCs). Hospital geolocation data were collected and mapped using the OpenStreetMap data set. A 45-min drive radius was considered the ideal coverage area for each hospital based on the drive speeds from the OpenRouteService database. Population data, including demographic density, were obtained from the Kontur Population data sets. The proposed CS assessed the population covered by ASCs and proposed new ASCs or artificial points (APs) settled in densely populated areas to achieve a target population coverage (TPC) of 95%.

RESULTS:

The observed coverage in the region presented significant disparities, ranging from 0% in the Bahamas to 73.92% in Trinidad and Tobago. No country/region reached the 95% TPC using only its current ASCs or PASCs, leading to the proposal of APs. For example, in Rio Grande do Sul, Brazil, the introduction of 132 new centers was suggested. Furthermore, it was observed that most ASCs were in major urban hubs or university hospitals, leaving rural areas largely underserved.

CONCLUSIONS:

The MAPSTROKE project has the potential to provide a systematic approach to identify areas with limited access to stroke centers and propose solutions for increasing access to AIS treatment. DATA ACCESS STATEMENT Data used for this publication are available from the authors upon reasonable request.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Terapia Trombolítica / Acessibilidade aos Serviços de Saúde Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Terapia Trombolítica / Acessibilidade aos Serviços de Saúde Idioma: En Ano de publicação: 2024 Tipo de documento: Article