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Quantifying Inequitable Access to Rapid Burn and Reconstructive Care through Geospatial Mapping
Time-critical pathologies, such as the care of burn-injured patients, rely on accurate travel time data to plan high-quality service provision. Geospatial modeling, using data from the Malaria Atlas Project, together with census data, permits quantification of the huge global discrepancies in tempor...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7489683/ https://www.ncbi.nlm.nih.gov/pubmed/32983811 http://dx.doi.org/10.1097/GOX.0000000000003069 |
Sumario: | Time-critical pathologies, such as the care of burn-injured patients, rely on accurate travel time data to plan high-quality service provision. Geospatial modeling, using data from the Malaria Atlas Project, together with census data, permits quantification of the huge global discrepancies in temporal access to burn care between high-income and low-resource settings. In this study, focusing on the United Kingdom and Ghana, we found that a 3-fold population difference exists with, respectively, 95.6% and 29.9% of the population that could access specialist burn care within 1-hour travel time. Solutions to such inequalities include upscaling of infrastructure and specialist personnel, but this is aspirational rather than feasible in most low- to middle-income countries. Mixed models of decentralization of care that leverage eHealth strategies, such as telemedicine, may enhance quality of local burns and reconstructive surgical care through skills transfer, capacity building, and expediting of urgent transfers, while empowering local healthcare communities. By extending specialist burn care coverage through eHealth to 8 district hospitals in rural Ghana, we demonstrate the potential to increase specialist population coverage within 1-hour travel time from 29.9% to 45.3%—equivalent to an additional 5.1 million people. |
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