Evidence map›Paper›PMID 33891676›Full record

ArticleJournal of burn care & research : official publication of the American Burn Association2021

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

Kevin Li, Kajal Mehta, Ada Wright, Joohee Lee, Manish Yadav, Tam N Pham, Shankar M Rai, Kiran Nakarmi, Barclay Stewart

Abstract read
In one paragraph

Article in Journal of burn care & research : official publication of the American Burn Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Burn Admissions Across Low- and Middle-income Countries: A Repeated Cross-sectional Survey.Journal of burn care & research : official publication of the American Burn Association · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Kevin LiDepartment of Bioinformatics and Medical Education, University of Washington, Seattle, USA.
Kajal MehtaDepartment of Surgery, University of Washington, Seattle, USA.ORCID 0000-0003-1674-3493
Ada WrightCarleton College, Northfield, Minnesota, USA.
Joohee LeePublic Health Concern Trust Nepal, Kathmandu, Nepal.
Manish YadavPublic Health Concern Trust Nepal, Kathmandu, Nepal.
Tam N PhamDivision of Trauma, Burn, and Critical Care Surgery, Department of Surgery, University of Washington and UW Medicine Regional Burn Center, Seattle, USA.
Shankar M RaiPublic Health Concern Trust Nepal, Kathmandu, Nepal.
Kiran NakarmiPublic Health Concern Trust Nepal, Kathmandu, Nepal.
Barclay StewartDivision of Trauma, Burn, and Critical Care Surgery, Department of Surgery, University of Washington and UW Medicine Regional Burn Center, Seattle, USA.

Funding

Northern/Pacific Universities Global Health Research Training ConsortiumR25TW009345 · FIC · UNIVERSITY OF WASHINGTON · PI KOLARS, JOSEPH C., NERURKAR, VIVEK RAMCHANDRA · 2012 to 2016
$5.9M
FIC NIH HHS R25 TW009345FIC NIH HHS R25-TW009345
6 · The paper itself

Abstract

In Nepal, preventable death and disability from burn injuries are common due to poor population-level spatial access to organized burn care. Most severe burns are referred to a single facility nationwide, often after suboptimal burn stabilization and/or significant care delay. Therefore, we aimed to identify existing first-level hospitals within Nepal that would optimize population-level access as "burn stabilization points" if their acute burn care capabilities are strengthened. A location-allocation model was created using designated first-level candidate hospitals, a population density grid for Nepal, and road network/travel speed data. Six models (A-F) were developed using cost-distance and network analyses in ArcGIS to identify the three vs five candidate hospitals at ≤2, 6, and 12 travel-hour thresholds that would optimize population-level spatial access. The baseline model demonstrated that currently 20.3% of the national population has access to organized burn care within 2 hours of travel, 37.2% within 6 travel-hours, and 72.6% within 12 travel-hours. If acute burn stabilization capabilities were strengthened, models A to C of three chosen hospitals would increase population-level burn care access to 45.2, 89.4, and 99.8% of the national population at ≤2, 6, and 12 travel-hours, respectively. In models D to F, five chosen hospitals would bring access to 53.4, 95.0, and 99.9% of the national population at ≤2, 6, and 12 travel-hours, respectively. These models demonstrate developing capabilities in three to five hospitals can provide population-level spatial access to acute burn care for most of Nepal's population. Organized efforts to increase burn stabilization points are feasible and imperative to reduce the rates of preventable burn-related death and disability country-wide.

Indexed as

BurnsCapacity BuildingCritical CareHumansModels, OrganizationalNepalQuality ImprovementRural PopulationUrban Population

Identifiers

PMID33891676
PMCPMC8335946

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.