Holipah, Holipah
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Majalah Ilmiah Matematika dan Statistika Vol 19 No 2 (2019): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/mims.v19i2.17272


Structural Equation Model (SEM) is a statistical technique with simultaneous processing involves measurement errors, indicator variables, and latent variables. SEM is used to test hypotheses that state the relationships between latent variables when latent variables have been assessed through each of the indicator variables. Multiple Group SEM is a basic model analysis that uses more than one sample. This analysis aims to determine whether the components or models of measurement and structural models are invariant for the two sample groups. In this study, the data generated by some requirements. First, the data generated with sample size n = 250. The first generated data is homogeneous data where the measurement model is the same as the structural model in group 1 and group 2, while the second data is non-homogeneous data where the measurement model and the structural model in group 1 and group 2 is not the same. The data was analyzed using the help of the lavaan package available in R to obtain SEM estimation results and Goodness of Fit Model from some data that was formed. From the results of the merger of the two groups, it shows that the invariant of the two models with the largest df (63) which is Fit Mean model states the simplest model. However, the smallest df (48) with Fit.configural model states the most complex model. Keywords: SEM, Multiple Group, R Program
Factors Affecting Patient's Length of Stay In The Era Of Covid-19 Pandemic In Emergency Room Persada Hospital Simanungkalit, Sylvia Kitty; Holipah, Holipah; Dewanto, Aryo; David, David
Jurnal Kedokteran Brawijaya Article in Press 2
Publisher : Fakultas Kedokteran Universitas Brawijaya

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Length of stay (LOS) of a patient in an Emergency Room (ER) is the interval between the time the patient arrives and the time the patient physically leaves the ER. Prolonged LOS has potential to cause crowding. Meanwhile, from a clinical point of view, the factor of LOS has an impact on service suspension, which can reduce patient safety, even to death. Covid-19 pandemic has made hospitals establish a strict patient screening system and has the potential to increase the LOS of patients in the ER. The purpose of this study was to identify the factors that contribute to the LOS of patients. This study is an observational study of 38 respondents who came to the Emergency. LOS was compared between before and during Covid-19 pandemic condition. Observations were carried out by the Time Motion Study method to determine the patient's average time at each stage of the ER. The results showed the average LOS for emergency room patients with inpatient plans was 2 hours 7 minutes, while the LOS during pandemic was 4 hours 46 minutes 52 seconds. There were 2 hours 39 minutes 52 seconds time extension. The time extension is due to several factors: results of laboratory tests SARS COV-2; approval process for the Covid-19 Screening Team; Emergency Room and Laboratory were located in separate buildings.