Journal article
Primary Stroke Centers Should Be Located Using Maximal Coverage Models for Optimal Access
Stroke (1970), Vol.43(9), pp.2417-2422
2012
DOI: 10.1161/STROKEAHA.112.653394
PMID: 22811453
Abstract
Background and Purpose—
The current self-initiated approach by which hospitals acquire Primary Stroke Center (PSC) certification provides insufficient coverage for large areas of the United States. An alternative, directed, algorithmic approach to determine near optimal locations of PSCs would be justified if it significantly improves coverage.
Methods—
Using geographic location–allocation modeling techniques, we developed a universal web-based calculator for selecting near optimal PSC locations designed to maximize the population coverage in any state. We analyzed the current PSC network population coverage in Iowa and compared it with the coverage that would exist if a maximal coverage model had instead been used to place those centers. We then estimated the expected gains in population coverage if additional PSCs follow the current self-initiated model and compared it against the more efficient coverage expected by use of a maximal coverage model to select additional locations.
Results—
The existing 12 self-initiated PSCs in Iowa cover 37% of the population, assuming a time–distance radius of 30 minutes. The current population coverage would have been 47.5% if those 12 PSCs had been located using a maximal coverage model. With the current self-initiated approach, 54 additional PSCs on average will be needed to improve coverage to 75% of the population. Conversely, only 31 additional PSCs would be needed to achieve the same degree of population coverage if a maximal coverage model is used.
Conclusion—
Given the substantial gain in population access to adequate acute stroke care, it appears justified to direct the location of additional PSCs or recombinant tissue-type plasminogen activator-capable hospitals through a maximal coverage model algorithmic approach.
Details
- Title: Subtitle
- Primary Stroke Centers Should Be Located Using Maximal Coverage Models for Optimal Access
- Creators
- Enrique C LEIRA - Division of Cerebrovascular Diseases, Carver College of Medicine, Iowa City, IA, United StatesGeoffrey FAIRCHILD - College of Public Health, and Departments of Informatics, University of Iowa, Iowa City, IA, United StatesAlberto M SEGRE - College of Public Health, and Departments of Informatics, University of Iowa, Iowa City, IA, United StatesGerard RUSHTON - Computer Science, and Geography, University of Iowa, Iowa City, IA, United StatesMichael T FROEHLER - Division of Cerebrovascular Diseases, Carver College of Medicine, Iowa City, IA, United StatesPhilip M POLGREEN - Department of Neurology, and the Department of Internal Medicine, Carver College of Medicine, Iowa City, IA, United States
- Resource Type
- Journal article
- Publication Details
- Stroke (1970), Vol.43(9), pp.2417-2422
- DOI
- 10.1161/STROKEAHA.112.653394
- PMID
- 22811453
- NLM abbreviation
- Stroke
- ISSN
- 0039-2499
- eISSN
- 1524-4628
- Publisher
- Lippincott Williams & Wilkins; Hagerstown, MD
- Language
- English
- Date published
- 2012
- Academic Unit
- Neurology; Infectious Diseases; Health Management and Policy; Epidemiology; Iowa Neuroscience Institute; Nursing; Injury Prevention Research Center; Computer Science; Neurosurgery; Geographical and Sustainability Sciences; Internal Medicine
- Record Identifier
- 9984020887702771
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