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1.
Injury ; 52(3): 443-449, 2021 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-32958342

RESUMO

OBJECTIVES: The Cribari Matrix Method (CMM) is the current standard to identify over/undertriage but requires manual trauma triage reviews to address its inadequacies. The Standardized Triage Assessment Tool (STAT) partially emulates triage review by combining CMM with the Need For Trauma Intervention, an indicator of major trauma. This study aimed to validate STAT in a multicenter sample. METHODS: Thirty-eight adult and pediatric US trauma centers submitted data for 97,282 encounters. Mixed models estimated the effects of overtriage and undertriage versus appropriate triage on the odds of complication, odds of discharge to a continuing care facility, and differences in length of stay for both CMM and STAT. Significance was assessed at p <0.005. RESULTS: Overtriage (53.49% vs. 30.79%) and undertriage (17.19% vs. 3.55%) rates were notably lower with STAT than with CMM. CMM and STAT had significant associations with all outcomes, with overtriages demonstrating lower injury burdens and undertriages showing higher injury burdens than appropriately triaged patients. STAT indicated significantly stronger associations with outcomes than CMM, except in odds of discharge to continuing care facility among patients who received a full trauma team activation where STAT and CMM were similar. CONCLUSIONS: This multicenter study strongly indicates STAT safely and accurately flags fewer cases for triage reviews, thereby reducing the subjectivity introduced by manual triage determinations. This may enable better refinement of activation criteria and reduced workload.


Assuntos
Centros de Traumatologia , Ferimentos e Lesões , Adulto , Criança , Humanos , Escala de Gravidade do Ferimento , Alta do Paciente , Estudos Retrospectivos , Triagem , Carga de Trabalho
2.
J Robot Surg ; 12(1): 35-41, 2018 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-28247092

RESUMO

Equal access to novel surgical technologies remains a policy concern as hospitals adopt robotic surgery with increasing prevalence. This study sought to determine whether socioeconomic factors influence access to robotic surgery. All laparoscopic and robotic fundoplications and paraesophageal hernia repairs performed by a surgical group over 6 years at a county and two neighboring private hospitals were identified. Robotic use by hospital setting, age, gender, reported ethnicity, estimated income, insurance payer, and diagnosis were examined. Of 418 patients identified, 180 (43%) presented to the county hospital, where subjects were younger (51.1 versus 56.2 years, p < 0.001) with lower estimated income ($50,289 versus $62,959, p < 0.001). In the county setting, there was no difference in reported ethnicity (p = 0.169), estimated income (p = 0.081), or insurance payer (p = 0.535) between groups treated laparoscopically versus robotically. There was no difference in the treatment groups by estimated income in the private hospital setting (p = 0.308). Overall higher estimated income and insurance payer were associated with a higher chance of undergoing robotic procedures (p < 0.001). Presence of a paraesophageal hernia was associated with increased chance of undergoing robotic therapy in all comparisons (p < 0.001). No disparity in access to robotic surgery offered in the county hospital was observed based on age, gender, reported ethnicity, estimated income, or insurance payer. Patients with higher income and private insurers were more likely to present to the private hospital setting where robotics is utilized more often. The presence of a paraesophageal hernia was a significant factor in determining robotic therapy in both settings.


Assuntos
Acessibilidade aos Serviços de Saúde/estatística & dados numéricos , Hérnia Hiatal/cirurgia , Herniorrafia/estatística & dados numéricos , Procedimentos Cirúrgicos Robóticos/estatística & dados numéricos , Distribuição por Idade , Feminino , Disparidades em Assistência à Saúde/estatística & dados numéricos , Hospitais de Condado/estatística & dados numéricos , Hospitais Privados/estatística & dados numéricos , Humanos , Renda , Cobertura do Seguro , Seguro Saúde/estatística & dados numéricos , Laparoscopia/estatística & dados numéricos , Masculino , Pessoa de Meia-Idade , Distribuição por Sexo , Fatores Socioeconômicos , Texas
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