Medical Care in Emergency Units with Risk Classification: Time to Attendance at Hospital based on Parametric Models

Autores

  • Pedro L. Ramos University of São Paulo
  • Diego C. Nascimento University of São Paulo
  • Robson Fernandes University of São Paulo
  • Edson Guimarães University of São Paulo
  • M. Santana
  • Kleber Soares University of São Paulo
  • Francisco Louzada University of São Paulo

DOI:

https://doi.org/10.5540/tema.2019.020.03.571

Palavras-chave:

Manchester Triage System, Parametric Models, Risk Classification, Survival Analysis.

Resumo

The present work intends to study the effectiveness of applying Manchester Triage System to improve patient flow in a Brazilian hospital, which allow a more welcoming and decisive service.  Thus, time to event techniques are applied based on parametric regression models with the objective of investigating indicators for the emergency/urgency sector and thus, contributing to better operational efficiency. The results show that different explanatory variables such as classification, age, period, among others, influence in the time of attendance. At the end, we provide a simple model that can be used to predict such time under different explanatory variable for a particular Brazilian hospital.

Referências

H. Akaike, A new look at the statistical model identification, IEEE transactions on automatic control 19 (1974), pp. 716-723.

T.R.M. Azeredo, H.M. Guedes, R.A.R. de Almeida, T.C.M. Chianca, and

J.C.A. Martins, Efficacy of the Manchester triage system: a systematic review, International emergency nursing 23 (2015), pp. 47-52.

H.S. Bakouch, S. Dey, P.L. Ramos, and F. Louzada, Binomial exponential 2 distribution: Di?erent estimation methods and weather applications, Trends in Applied and Computational Mathematics 18 (2017), p. 233.

M. Christ, F. Grossmann, D. Winter, R. Bingisser, and E. Platz, Modern triage in the emergency department, Deutsches Ärzteblatt International 107 (2010), p. 892.

M.W. Cooke and S. Jinks, Does the manchester triage system detect the critically ill, Journal of accident & emergency medicine 16 (1999), pp. 179-181.

S.F. de Sousa Torres, S.A. Belisário, and E.M. Melo, A rede de urgência e emergência da macrorregião norte de minas gerais: um estudo de caso, Saúde e Sociedade 24 (2015), pp. 361-373.

L. Ganley and A.S. Gloster, An overview of triage in the emergency department, Nursing Standard 26 (2011), pp. 49?58.

H.M. Guedes, F.A. Araújo, D.P. Júnior, J.C.A. Martins, and T.C.M. Chianca, Outcome assessment of patients classi?ed through the manchester triage system in emergency units in brazil and portugal, Investigación y Educación en Enfermería 35 (2017).

H. Martins, L.D.C.D. Cuña, and P. Freitas, Is manchester (mts) more than a triage system? a study of its association with mortality and admission to a large portuguese hospital, Emergency Medicine Journal 26 (2009), pp. 183?186.

M.O. MENEZES, L.G. SILVA, D.P. DA SILVA, and F.D.P.C. DAMASCENO, Acolhimento com classi?cação de risco na rede de urgência e emergência: perspectivas para enfermagem, Caderno de Graduação-Ciências Biológicas e da Saúde-UNIT 2 (2014), pp. 45-58.

H.S. Migon, D. Gamerman, and F. Louzada, Statistical inference: an integrated approach, 2nd ed., Chapman and Hall/CRC press, 2014.

D. Pinto Júnior, P.d.O. Salgado, and T.C.M. Chianca, Predictive validity of the manchester triage system: evaluation of outcomes of patients admitted to an emergency department, Revista latino-americana de enfermagem 20 (2012), pp. 1041-1047.

P.L. Ramos, J.A. Achcar, F.A. Moala, E. Ramos, and F. Louzada, Bayesian analysis of the generalized gamma distribution using non-informative priors, Statistics 51 (2017), pp. 824?843.

N. Seiger, M. van Veen, E. Steyerberg, M. Ruige, A. Van Meurs, and H. Moll, Undertriage in the manchester triage system: an assessment of severity and options for improvement, Archives of disease in childhood 96 (2011), pp. 653-657.

P.L. Silva, L. Paiva, V.B. Faria, R.I.B. Ohl, and S.R.R. Chavaglia, Triage in an adult emergency service: patient satisfaction, Revista da Escola de Enfermagem da USP 50 (2016), pp. 427-433.

M.N. Storm-Versloot, D.T. Ubbink, J. Kappelhof, and J.S. Luitse, Comparison of an informally structured triage system, the emergency severity index, and the manchester triage system to distinguish patient priority in the emergency department, Academic Emergency Medicine 18 (2011), pp. 822-829.

I. Van der Wulp, M. Van Baar, and A. Schrijvers, Reliability and validity of the manchester triage system in a general emergency department patient population in the netherlands: results of a simulation study, Emergency Medicine Journal 25 (2008), pp. 431-434.

Downloads

Publicado

2019-12-02

Como Citar

Ramos, P. L., Nascimento, D. C., Fernandes, R., Guimarães, E., Santana, M., Soares, K., & Louzada, F. (2019). Medical Care in Emergency Units with Risk Classification: Time to Attendance at Hospital based on Parametric Models. Trends in Computational and Applied Mathematics, 20(3), 571. https://doi.org/10.5540/tema.2019.020.03.571

Edição

v. 20 n. 3 (2019)

Seção

Artigo Original

Licença

Direitos Autorais

Autores de artigos publicados no periódico Trends in Computational and Applied Mathematics mantêm os direitos autorais de seus trabalhos. O periódico utiliza a Atribuição Creative Commons (CC-BY) nos artigos publicados. Os autores concedem ao periódico o direito de primeira publicação.

Propriedade Intelectual e Termos de uso

O conteúdo dos artigos é de responsabilidade exclusiva dos autores. O periódico utiliza a Atribuição Creative Commons (CC-BY) nos artigos publicados. Esta licença permite que os artigos publicados sejam reutilizados sem permissão para qualquer finalidade, desde que o trabalho original seja corretamente citado.

O periódico encoraja os Autores a autoarquivar seus manuscritos aceitos, publicando-os em blogs pessoais, repositórios institucionais e mídias sociais acadêmicas, bem como postando-os em suas mídias sociais pessoais, desde que seja incluída a citação completa à versão do website da revista.