Faktor-faktor yang memengaruhi keterlambatan operasi elektif pada masa pandemi COVID-19 di Rumah Sakit Siloam Karawaci = Factors affecting elective surgery delay during COVID-19 pandemic in Siloam Hospital Karawaci

Kurniawan, Catherine Siany (2021) Faktor-faktor yang memengaruhi keterlambatan operasi elektif pada masa pandemi COVID-19 di Rumah Sakit Siloam Karawaci = Factors affecting elective surgery delay during COVID-19 pandemic in Siloam Hospital Karawaci. Bachelor thesis, Universitas Pelita Harapan.

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Abstract

Keterlambatan operasi elektif dapat memengaruhi mutu pelayanan rumah sakit dan merugikan berbagai pihak. Penyebab keterlambatan operasi elektif dapat berasal dari faktor pasien dan faktor penyedia layanan kesehatan. Akan tetapi, dengan adanya pandemi COVID-19 saat ini, maka faktor COVID-19 juga bisa berpengaruh terhadap keterlambatan operasi elektif. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang memengaruhi keterlambatan operasi elektif pada masa pandemi COVID-19 di Rumah Sakit Siloam Karawaci. Penelitian ini merupakan studi analitik potong lintang. Sampel penelitian diambil dengan metode total population sampling. Jumlah sampel pada penelitian ini adalah 685 operasi elektif yang dijadwalkan pada bulan April hingga Juni 2020. Analisis data dan uji statistik dalam penelitian ini menggunakan analisis chi-square dan analisis multivariat regresi logistik. Dari hasil penelitian didapatkan bahwa faktor pasien, faktor penyedia layanan kesehatan, dan faktor COVID-19 memiliki hubungan yang bermakna terhadap keterlambatan operasi elektif. / Elective surgery delay can affect the quality of hospital services and disadvantages to various parties. The causes of elective surgery delay can come from patient- related factors and healthcare-related factors. However, with the COVID-19 pandemic currently, COVID-19-related factors may also affect the elective surgery delay. The purpose of this study is to know the factors affecting the elective surgery delay during COVID-19 pandemic in Siloam Hospital Karawaci. This study is a cross-sectional analytic study. Research sample is obtained by using total population sampling method. The number of samples in this study are 685 elective surgeries scheduled between April to June 2020. Data analysis and statistical test in this study uses chi-square and logistic regression multivariate analysis. From the result of this study, it was found that patient-related factors, healthcare- related factors, and COVID-19-related factors have a significant relationship to elective surgery delay.

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