{"doi":"10.1093/jbcr/irab064","title":"Identifying Hospitals in Nepal for Acute Burn Care and Stabilization Capacity Development: Location-Allocation Modeling for Strategic Service Delivery","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.","journal":"Journal of Burn Care & Research","year":2021,"id":193816,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":10,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9423,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2021-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":649641,"name":"Kajal Mehta","orcid":"0000-0003-1674-3493","position":1,"is_corresponding":false},{"id":762885,"name":"Ada Wright","orcid":null,"position":2,"is_corresponding":false},{"id":762448,"name":"Joohee Lee","orcid":"0000-0002-3114-1944","position":3,"is_corresponding":false},{"id":762449,"name":"Manish Yadav","orcid":"0000-0001-7559-9677","position":4,"is_corresponding":false},{"id":421880,"name":"Tam N. Pham","orcid":"0000-0001-5231-7745","position":5,"is_corresponding":false},{"id":762886,"name":"Shankar M Rai","orcid":null,"position":6,"is_corresponding":false},{"id":675804,"name":"Kiran Nakarmi","orcid":"0000-0002-8801-2545","position":7,"is_corresponding":false},{"id":421878,"name":"Barclay T. Stewart","orcid":"0000-0002-8099-9218","position":8,"is_corresponding":false},{"id":453176,"name":"Kevin Li","orcid":"0000-0003-0425-2363","position":0,"is_corresponding":true}],"reference_count":26,"raw_metadata":null,"created_at":"2026-07-18T23:49:51.300073Z","pmid":"33891676","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}