Leonardo Augusto Carbonera, Julián Alejandro Rivillas, Gillian Gordon Perue, Leonardo da Luz Dorneles, Mateus Boiani, Ana Cláudia de Souza, Gisele Sampaio Silva, Marcio Dorn, Sheila Cristina Ouriques Martins
{"title":"MAPSTROKE 项目:改善急性中风治疗的计算策略。","authors":"Leonardo Augusto Carbonera, Julián Alejandro Rivillas, Gillian Gordon Perue, Leonardo da Luz Dorneles, Mateus Boiani, Ana Cláudia de Souza, Gisele Sampaio Silva, Marcio Dorn, Sheila Cristina Ouriques Martins","doi":"10.1177/17474930241234528","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Aims: </strong>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.</p><p><strong>Methods: </strong>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%.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p><p><strong>Data access statement: </strong>Data used for this publication are available from the authors upon reasonable request.</p>","PeriodicalId":14442,"journal":{"name":"International Journal of Stroke","volume":" ","pages":"747-753"},"PeriodicalIF":6.3000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The MAPSTROKE project: A computational strategy to improve access to acute stroke care.\",\"authors\":\"Leonardo Augusto Carbonera, Julián Alejandro Rivillas, Gillian Gordon Perue, Leonardo da Luz Dorneles, Mateus Boiani, Ana Cláudia de Souza, Gisele Sampaio Silva, Marcio Dorn, Sheila Cristina Ouriques Martins\",\"doi\":\"10.1177/17474930241234528\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Aims: </strong>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.</p><p><strong>Methods: </strong>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%.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p><p><strong>Data access statement: </strong>Data used for this publication are available from the authors upon reasonable request.</p>\",\"PeriodicalId\":14442,\"journal\":{\"name\":\"International Journal of Stroke\",\"volume\":\" \",\"pages\":\"747-753\"},\"PeriodicalIF\":6.3000,\"publicationDate\":\"2024-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Stroke\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1177/17474930241234528\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/2/28 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Stroke","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/17474930241234528","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/2/28 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
The MAPSTROKE project: A computational strategy to improve access to acute stroke care.
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.
期刊介绍:
The International Journal of Stroke is a welcome addition to the international stroke journal landscape in that it concentrates on the clinical aspects of stroke with basic science contributions in areas of clinical interest. Reviews of current topics are broadly based to encompass not only recent advances of global interest but also those which may be more important in certain regions and the journal regularly features items of news interest from all parts of the world. To facilitate the international nature of the journal, our Associate Editors from Europe, Asia, North America and South America coordinate segments of the journal.