Background: Patients who present to the emergency department (ED) with severe odontogenic infections are often hospitalized for surgical drainage and medical management. However, inpatient management of these patients can be financially burdensome. While medical indications for hospital admission are well established, it remains unclear if patient insurance status is associated with admission.
Purpose: The purpose of this study was to determine the nationally representative estimates of the incidence of hospital admission for patients with odontogenic infections and the association with insurance payor.
Study design, setting, sample: This retrospective cohort study used the 2018 Nationwide Emergency Department Sample. Patients with odontogenic infections (based on International Classification of Diseases, 10th Revision codes) were included. Patients aged <18 years or who had missing data were excluded.
Predictor variable: The primary predictor variable was primary payor (private insurance, Medicare, Medicaid, self-pay, and other).
Main outcome variable: The primary outcome variable was hospital admission (yes/no).
Covariates: Covariates included sociodemographic, medical, infection, and hospital variables.
Analyses: Descriptive, bivariate, and multivariable logistic regression analyses were used to determine national estimates and predictors of admission. Odds ratios and 99% confidence intervals were computed. Discharge weights were accounted for in all analyses to provide nationally representative estimates.
Results: This study included 31,221 weighted ED encounters, of which 10,451 (33.5%) were admitted. In the study cohort, 7,687 (24.6%) had private insurance, 5,046 (16.2%) had Medicare, 10,070 (32.3%) had Medicaid, 7,436 (23.8%) were self-pay, and 982 (3.1%) had other. Bivariate analysis suggested that payor status was significantly associated with hospital admission (P < .01). The multivariable analysis showed that self-pay patients had significantly lower odds of hospital admission compared to those with private insurance (odds ratio, 0.54; 99% confidence interval, 0.42-0.70). Other independent predictors of hospital admission included infection in more than 1 location based on International Classification of Diseases, 10th Revision code, higher Charlson comorbidity index, and alcohol/substance use disorders.
Conclusion and relevance: Approximately one-third of patients presenting to the ED with odontogenic infections were admitted. Patients with no insurance were less likely to be admitted compared to those with private insurance. This finding may reflect multiple possibilities, including hospital financial incentives.
Copyright © 2024 American Association of Oral and Maxillofacial Surgeons. Published by Elsevier Inc. All rights reserved.