The MAPSTROKE project: a Computational Strategy to Improve Access to Acute Stroke Care.

Algorithms Geographic Information Systems Health Care Planning Health Services Accessibility Medical Informatics Stroke

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:
12 Feb 2024
Historique:
medline: 13 2 2024
pubmed: 13 2 2024
entrez: 12 2 2024
Statut: aheadofprint

Résumé

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. To create and apply computational strategies (CS) to determine optimal locations for new Acute Stroke Centers (ASCs), with a pilot application in nine Latin-American regions/countries. 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, non-contrast CT scanners, and 24/7 laboratories were identified as Potential Acute Stroke Centers (PASCs). Hospital geolocation data were collected and mapped using the OpenStreetMap® dataset. A 45-minute 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, was obtained from the Kontur Population® datasets. 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%. 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. 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 used for this publication are available from the authors upon reasonable request.

Sections du résumé

BACKGROUND UNASSIGNED
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 UNASSIGNED
To create and apply computational strategies (CS) to determine optimal locations for new Acute Stroke Centers (ASCs), with a pilot application in nine Latin-American regions/countries.
METHODS UNASSIGNED
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, non-contrast CT scanners, and 24/7 laboratories were identified as Potential Acute Stroke Centers (PASCs). Hospital geolocation data were collected and mapped using the OpenStreetMap® dataset. A 45-minute 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, was obtained from the Kontur Population® datasets. 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 UNASSIGNED
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 UNASSIGNED
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 UNASSIGNED
Data used for this publication are available from the authors upon reasonable request.

Identifiants

pubmed: 38346937
doi: 10.1177/17474930241234528
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

17474930241234528

Auteurs

Leonardo Augusto Carbonera (LA)

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

Julián Alejandro Rivillas (JA)

Department of Neurology. Fundación Valle del Lili Hospital Universitario. Public Health Department. Universidad Icesi, Cali, Colombia.

Gillian Gordon Perue (G)

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

Leonardo da Luz DA Luz Dorneles (LDL)

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

Mateus Boiani (M)

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

Ana Claudia de Souza (AC)

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

Gisele Sampaio Silva (G)

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

Márcio Dorn (M)

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

Sheila Cristina Ouriques Martins (SCO)

Department of Internal Medicine, Universidade Federal do Rio Grande do Sul (UFRGS) and Department of Neurology and Neurosurgery, Hospital Moinhos de Vento, Porto Alegre, RS, Brazil.

Classifications MeSH