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1.
Pediatr Emerg Care ; 36(2): e50-e55, 2020 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-29095388

RESUMO

OBJECTIVE: The aim of this study was to create a multivariable model of standardized relative value units per hour by adjusting for nonprovider factors that influence efficiency. METHODS: We obtained productivity data based on billing records measured in emergency relative value units for (1) both evaluation and management of visits and (2) procedures for 16 pediatric emergency medicine providers with more than 750 hours worked per year. Eligible shifts were in an urban, academic pediatric emergency department (ED) with 2 sites: a tertiary care main campus and a satellite community site. We used multivariable linear regression to adjust for the impact of shift and pediatric ED characteristics on individual-provider efficiency and then removed variables from the model with minimal effect on productivity. RESULTS: There were 2998 eligible shifts for the 16 providers during a 3-year period. The resulting model included 4 variables when looking at both ED sites combined. These variables include the following: (1) number of procedures billed by provider, (2) season of the year, (3) shift start time, and (4) day of week. Results were improved when we separately modeled each ED location. A 3-variable model using procedures billed by provider, shift start time, and season explained 23% of the variation in provider efficiency at the academic ED site. A 3-variable model using procedures billed by provider, patient arrivals per hour, and shift start time explained 45% of the variation in provider efficiency at the satellite ED site. CONCLUSIONS: Several nonprovider factors affect provider efficiency. These factors should be considered when designing productivity-based incentives.


Assuntos
Eficiência , Serviço Hospitalar de Emergência/organização & administração , Pessoal de Saúde/organização & administração , Medicina de Emergência Pediátrica/organização & administração , Eficiência Organizacional/estatística & dados numéricos , Humanos , Modelos Lineares , Modelos Teóricos , Avaliação de Resultados em Cuidados de Saúde , Estudos Retrospectivos , Fatores de Tempo , Carga de Trabalho/estatística & dados numéricos
2.
J Am Coll Emerg Physicians Open ; 5(2): e13142, 2024 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-38524357

RESUMO

Early blood administration by Emergency Medical Services (EMS) to patients suffering from hemorrhagic shock improves outcomes. Prehospital blood programs represent an invaluable resuscitation capability that directly addresses hemorrhagic shock and mitigates subsequent multiple organ dysfunction syndrome. Prehospital blood programs must be thoughtfully planned, have multiple safeguards, ensure adequate training and credentialing processes, and be responsible stewards of blood resources. According to the 2022 best practices model by Yazer et al, the four key pillars of a successful prehospital program include the following: (1) the rationale for the use and a description of blood products that can be transfused in the prehospital setting, (2) storage of blood products outside the hospital blood bank and how to move them to the patient in the prehospital setting, (3) prehospital transfusion criteria and administration personnel, and (4) documentation of prehospital transfusion and handover to the hospital team.  This concepts paper describes our operational experience using these four pillars to make Maryland's inaugural prehospital ground-based low-titer O-positive whole blood program successful. These lessons learned may inform other EMS systems as they establish prehospital blood programs to help improve outcomes and enhance mass casualty response.

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