The MAPSTROKE project: A computational strategy to improve access to acute stroke care

Author:

Carbonera Leonardo Augusto1ORCID,Rivillas Julián Alejandro23,Gordon Perue Gillian4,da Luz Dorneles Leonardo5ORCID,Boiani Mateus5,de Souza Ana Cláudia1ORCID,Sampaio Silva Gisele6,Dorn Marcio5,Martins Sheila Cristina Ouriques17ORCID

Affiliation:

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

2. Department of Neurology, Fundación Valle del Lili Hospital Universitario, Cali, Colombia

3. Public Health Department, Universidad Icesi, Cali, Colombia

4. Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, USA

5. Institute of Informatics and Center for Biotechnology, Federal University of Rio Grande do Sul, Porto Alegre, Brazil

6. Department of Neurology, Universidade Federal de São Paulo (UNIFESP) and Hospital Israelita Albert Einstein, São Paulo, Brazil

7. Department of Internal Medicine, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil

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.

Funder

Angels Initiative / Boehringer Ingelheim

World Stroke Organization

Publisher

SAGE Publications

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