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Am J Emerg Med ; 36(10): 1865-1869, 2018 10.
Artigo em Inglês | MEDLINE | ID: mdl-30041844

RESUMO

OBJECTIVE: To describe the relationship between emergency department resource utilization and admission rate at the level of the individual physician. METHODS: Retrospective observational study of physician resource utilization and admitting data at two emergency departments. We calculated observed to expected (O/E) ratios for four measures of resource utilization (intravenous medications and fluids, laboratory testing, plain radiographs, and advanced imaging studies) as well as for admission rate. Expected values reflect adjustment for patient- and time-based variables. We compared O/E ratios for each type of resource utilization to the O/E ratio for admission for each provider. We report degree of correlation (slope of the trendline) and strength of correlation (adjusted R2 value) for each association, as well as categorical results after clustering physicians based on the relationship of resource utilization to admission rate. RESULTS: There were statistically significant positive correlations between resource utilization and physician admission rate. Physicians with lower resource utilization rates were more likely to have lower admission rates, and those with higher resource utilization rates were more likely to have higher admission rates. CONCLUSIONS: In a two-facility study, emergency physician resource utilization and admission rate were positively correlated: those who used more ED resources also tended to admit more patients. These results add to a growing understanding of emergency physician variability.


Assuntos
Serviço Hospitalar de Emergência , Recursos em Saúde/estatística & dados numéricos , Admissão do Paciente/estatística & dados numéricos , Médicos , Padrões de Prática Médica/estatística & dados numéricos , Adulto , Idoso , Técnicas de Laboratório Clínico/estatística & dados numéricos , Tomada de Decisões , Serviço Hospitalar de Emergência/normas , Serviço Hospitalar de Emergência/estatística & dados numéricos , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Qualidade da Assistência à Saúde , Estudos Retrospectivos , Triagem
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