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Using Natural Language Processing to Examine Social Determinants of Health in Prehospital Pediatric Encounters and Associations with EMS Transport Decisions.
Lowery, Briauna; D'Acunto, Salvatore; Crowe, Remle P; Fishe, Jennifer N.
Affiliation
  • Lowery B; Division of Pediatric Emergency Medicine, Department of Emergency Medicine, University of Florida College of Medicine, Jacksonville, Florida.
  • D'Acunto S; Center for Data Solutions, University of Florida College of Medicine, Jacksonville, Florida.
  • Crowe RP; ESO, Inc, Austin, Texas.
  • Fishe JN; Division of Pediatric Emergency Medicine, Department of Emergency Medicine, University of Florida College of Medicine, Jacksonville, Florida.
Prehosp Emerg Care ; 27(2): 246-251, 2023.
Article in En | MEDLINE | ID: mdl-35500212
ABSTRACT

BACKGROUND:

Social determinants of health (SDOH) influence access to health care and are associated with inequities in patient outcomes, yet few studies have explored SDOH among pediatric EMS patients. The objective of this study was to examine the presence of SDOH in EMS clinician free text notes and quantify the association of SDOH with EMS pediatric transport decisions.

METHODS:

This was a retrospective analysis of primary 9-1-1 responses for patients ages 0-17 years from the 2019 ESO Data Collaborative research dataset. We excluded cardiac arrests and patients in law enforcement custody. Using natural language processing (NLP) we extracted the following SDOH categories income insecurity, food insecurity, housing insecurity, insurance insecurity, poor social support, and child protective services. Univariate and multivariable associations between the presence of SDOH in EMS records and EMS transport decisions were assessed using logistic regression.

RESULTS:

We analyzed 325,847 pediatric EMS encounters, of which 35% resulted in non-transport. The median age was 10 years and 52% were male. Slightly over half (53%) were White, 31% were Black, and 11% were Hispanic. Child protective services (n = 2,620) and housing insecurity (n = 1,136) were the most common SDOH categories found in the EMS free text narratives. In the multivariable model, child protective services involvement (odds ratio (OR)=2.04 [95% confidence interval (CI) 1.84-2.05]), housing insecurity (OR = 1.46 [95% CI 1.26-1.70]), insurance security (OR = 2.44 [95% CI 1.93-3.09]), and poor social support (OR = 10.48 [95% CI 1.42-77.29]) were associated with greater odds of EMS transport.

CONCLUSIONS:

SDOH documentation in the EMS narrative was rare among pediatric encounters; however, children with documented SDOH were more likely to be transported. Additional exploration of the root causes and outcomes associated with SDOH among children encountered by EMS are warranted.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Emergency Medical Services / Social Determinants of Health Type of study: Prognostic_studies / Risk_factors_studies Limits: Adolescent / Child / Child, preschool / Female / Humans / Infant / Male / Newborn Language: En Journal: Prehosp Emerg Care Journal subject: MEDICINA DE EMERGENCIA Year: 2023 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Emergency Medical Services / Social Determinants of Health Type of study: Prognostic_studies / Risk_factors_studies Limits: Adolescent / Child / Child, preschool / Female / Humans / Infant / Male / Newborn Language: En Journal: Prehosp Emerg Care Journal subject: MEDICINA DE EMERGENCIA Year: 2023 Type: Article