RESUMO
INTRODUCTION: Pediatric tonsillectomy is a frequent otolaryngologic procedure. This study aimed to characterize disparities in post-tonsillectomy revisits, including emergency department evaluation, readmission, or reoperation as well as indication for revisit. METHODS: Cases of inpatient and ambulatory pediatric tonsillectomy in New York and Florida in 2016 constituted the analytic sample. Patients were extracted from the State Ambulatory Surgery Databases (SASD) and State Inpatient Databases (SID) and linked to the SID and State Emergency Department Database (SEDD) and SASD. Outcomes include 3 types of revisits within 30 days: ED visits, hospital readmissions, and reoperation. Indication for revisit was also analyzed. Multivariable analysis determined the association of each outcome with gender, age, race/ethnicity, primary payer, urbanicity, and zip code median household income quartile. The Holm Bonferroni test was used to correct for multiple hypothesis testing. RESULTS: 15,264 pediatric tonsillectomies were included. The revisit rate was 6.77% (N = 1,034, 49.1% female; 6 years median age [interquartile range: 5]). The 30-day ED revisit rate was 4.85%, readmission rate was 1.27%, and reoperation rate was 0.65%. On multivariate analysis, Latinx patients (OR = 3.042, 95% CI = 1.393-6.803) and those who identify as other race/ethnicity (OR = 6.116, 95% CI = 1.989-19.245) have greater odds of requiring inpatient care for indications including pain, dehydration, nausea, and vomiting compared to white patients. No significant differences in tier of care for the management of post-tonsillectomy hemorrhage were identified. CONCLUSION: Disparities in pediatric post-tonsillectomy ED presentation, readmission and reoperation demonstrate opportunities to improve patient safety and equity.
Assuntos
Disparidades em Assistência à Saúde , Readmissão do Paciente , Reoperação , Tonsilectomia , Humanos , Tonsilectomia/estatística & dados numéricos , Readmissão do Paciente/estatística & dados numéricos , Feminino , Masculino , Criança , Reoperação/estatística & dados numéricos , Pré-Escolar , Disparidades em Assistência à Saúde/estatística & dados numéricos , Florida , New York , Serviço Hospitalar de Emergência/estatística & dados numéricos , Adolescente , Fatores Socioeconômicos , Estudos Retrospectivos , Bases de Dados Factuais , LactenteRESUMO
BACKGROUND: Delays in hospital presentation limit access to acute stroke treatments. While prior research has focused on patient-level factors, broader ecological and social determinants have not been well studied. We aimed to create a geospatial map of prehospital delay and examine the role of community-level social vulnerability. METHODS: We studied patients with ischemic stroke who arrived by emergency medical services in 2015 to 2017 from the American Heart Association Get With The Guidelines-Stroke registry. The primary outcome was time to hospital arrival after stroke (in minutes), beginning at last known well in most cases. Using Geographic Information System mapping, we displayed the geography of delay. We then used Cox proportional hazard models to study the relationship between community-level factors and arrival time (adjusted hazard ratios [aHR] <1.0 indicate delay). The primary exposure was the social vulnerability index (SVI), a metric of social vulnerability for every ZIP Code Tabulation Area ranging from 0.0 to 1.0. RESULTS: Of 750â 336 patients, 149â 145 met inclusion criteria. The mean age was 73 years, and 51% were female. The median time to hospital arrival was 140 minutes (Q1: 60 minutes, Q3: 458 minutes). The geospatial map revealed that many zones of delay overlapped with socially vulnerable areas (https://harvard-cga.maps.arcgis.com/apps/webappviewer/index.html?id=08f6e885c71b457f83cefc71013bcaa7). Cox models (aHR, 95% CI) confirmed that higher SVI, including quartiles 3 (aHR, 0.96 [95% CI, 0.93-0.98]) and 4 (aHR, 0.93 [95% CI, 0.91-0.95]), was associated with delay. Patients from SVI quartile 4 neighborhoods arrived 15.6 minutes [15-16.2] slower than patients from SVI quartile 1. Specific SVI themes associated with delay were a community's socioeconomic status (aHR, 0.80 [95% CI, 0.74-0.85]) and housing type and transportation (aHR, 0.89 [95% CI, 0.84-0.94]). CONCLUSIONS: This map of acute stroke presentation times shows areas with a high incidence of delay. Increased social vulnerability characterizes these areas. Such places should be systematically targeted to improve population-level stroke presentation times.