Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
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.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7489683 | PMC |
http://dx.doi.org/10.1097/GOX.0000000000003069 | DOI Listing |
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