Abstract
This paper proposes an ad hoc model to explain the relationships between latent and observed variables, which influence the results of the care of pregnant woman with obstetric emergency before and after the implementation of a standardized process called Red Code. It has used information from medical records of pregnant women who were treated in the emergency service of the Hospital de la Madre y el Niño Guerrerense, Guerrero, Mexico. Based on expert judgment, 19 observed variables were grouped into 5 latent variables: first hemodynamic state, second hemodynamic state, obstetric-gynecological history, treatments, and results of EMOC. An ad hoc model was proposed that includes the first four latent variables as independent and the last one as a latent dependent variable. To asses the proposal, goodness-of-fit indexes for the fitted structural equation model were used. It was concluded that the results are mainly affected by obstetric-gynecological history and second hemodynamic status for the before red code period and obstetric-gynecological history and treatment for the red code period.
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Pérez Castro, E., Godínez Jaimes, F., Barrera Rodríguez, E., Reyes Carreto, R., López Roque, R., Vera Leyva, V. (2019). Impact of the Red Code Process Using Structural Equation Models. In: Antoniano-Villalobos, I., Mena, R., Mendoza, M., Naranjo, L., Nieto-Barajas, L. (eds) Selected Contributions on Statistics and Data Science in Latin America. FNE 2018. Springer Proceedings in Mathematics & Statistics, vol 301. Springer, Cham. https://doi.org/10.1007/978-3-030-31551-1_9
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