Literature DB >> 31875220

Geospatial Mapping as a Guide for Resource Allocation Among Burn Centers in India.

Kavitha Ranganathan1,2, Charles A Mouch1,2, Michael Chung3, Ian B Mathews4, Paul S Cederna2, S Raja Sabapathy5, Krishnan Raghavendran1,2, Maneesh Singhal6.   

Abstract

Timely treatment is essential for optimal outcomes after burn injury, but the method of resource distribution to ensure access to proper care in developing countries remains unclear. We therefore sought to examine access to burn care and the presence/absence of resources for burn care in India. We surveyed all eligible burn centers (n = 67) in India to evaluate burn care resources at each facility. We then performed a cross-sectional geospatial analysis using geocoding software (ArcGIS 10.3) and publicly available hospital-level data (WorldStreetMap, WorldPop database) to predict the time required to access care at the nearest burn center. Our primary outcome was the time required to reach a burn facility within India. Descriptive statistics were used to present our results. Of the 67 burn centers that completed the survey, 45% were government funded. More than 1 billion (75.1%) Indian citizens live within 2 hours of a burn center, but only 221.9 million (15.9%) live within 2 hours of a burn center with both an intensive care unit (ICU) and a skin bank. Burn units are staffed primarily by plastic surgeons (n = 62, 93%) with an average of 5.8 physicians per unit. Most burn units (n = 53, 79%) have access to hemodialysis. While many Indian citizens live within 2 hours of a burn center, most centers do not offer ICU and skin bank services that are essential for modern burn care. Reallocation of resources to improve transportation and availability of ICU and skin bank services is necessary to improve burn care in India. © American Burn Association 2019. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Year:  2020        PMID: 31875220     DOI: 10.1093/jbcr/irz210

Source DB:  PubMed          Journal:  J Burn Care Res        ISSN: 1559-047X            Impact factor:   1.845


  3 in total

1.  Identifying Hospitals in Nepal for Acute Burn Care and Stabilization Capacity Development: Location-Allocation Modeling for Strategic Service Delivery.

Authors:  Kevin Li; Kajal Mehta; Ada Wright; Joohee Lee; Manish Yadav; Tam N Pham; Shankar M Rai; Kiran Nakarmi; Barclay Stewart
Journal:  J Burn Care Res       Date:  2021-08-04       Impact factor: 1.845

2.  Impact of COVID-19 and containment measures on burn care: A qualitative exploratory study.

Authors:  Vikash Ranjan Keshri; Margaret Peden; Tanu Jain; Bontha V Babu; Shivangi Saha; Maneesh Singhal; Robyn Norton; Jagnoor Jagnoor
Journal:  Burns       Date:  2021-11-17       Impact factor: 2.609

3.  Projecting 1 km-grid population distributions from 2020 to 2100 globally under shared socioeconomic pathways.

Authors:  Xinyu Wang; Xiangfeng Meng; Ying Long
Journal:  Sci Data       Date:  2022-09-12       Impact factor: 8.501

  3 in total

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