Rawis, Daniel
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Kode Biru pada Pasien Sepsis di RSUP Prof. Dr. R. D. Kandou selang Juni 2018 sampai Juli 2019 Rawis, Daniel; Lalenoh, Diana Ch.; Laihad, Mordekhai L.
e-CliniC Vol 7, No 2 (2019): e-CliniC
Publisher : Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35790/ecl.v7i2.26785

Abstract

Abstract: Code blue is an emergency code used by hospitals throughout the world for handling emergency cases such as cardiac and pulmonary arrest. The code blue has to be announced immediately whenever someone is diagnosed as heart or respiratory attack; therefore, the hospital prepares a special team for implementation of this code. Sepsis is an inflammatory response of severe infection that can cause organ damage and even death. This study was aimed to determine the code blue in septic patients at Prof. Dr. R. D. Kandou Hospital Manado. This was a retrospective and observational study conducted at the Medical Record Installation of Prof. Dr. R. D. Kandou Hospital Manado. Samples were code blue patients diagnosed as sepsis during the period of June 2018 to July 2019. There were 34 septic patients as samples. The highest number/percentages of the samples were, as follows: ages of >50 years in 29 patients (72.5%), female sex in 22 patients (55%), response time <5 minutes in 33 patients (97%), and death <24 hours after the code blue in 34 patients (100%). In conclusion, with response time less than 5 minutes, the code blue mortality rate among septic patients was still high which was 100% within the first 24 hours.Keywords: code blue, sepsis Abstrak: Kode biru adalah suatu kode darurat yang digunakan rumah sakit di seluruh dunia untuk penanganan kasus darurat seperti henti jantung dan paru. Kode biru harus segera dimulai kapan saja seseorang ditemukan dengan serangan jantung atau pernapasan sehingga dibentuk tim khusus oleh rumah sakit. Sepsis merupakan respon inflamasi dari infeksi berat yang dapat menyebabkan kerusakan organ hingga kematian. Penelitian ini bertujuan untuk mengetahui kode biru pada pasien sepsis di RSUP Prof. Dr. R.D. Kandou Manado. Penelitian dilakukan di Instalasi Rekam Medik RSUP Prof. Dr. R. D. Kandou Manado. Jenis penelitian ialah observasional retrospektif. Sampel penelitian ialah pasien kode biru di RSUP Prof. Dr. R. D. Kandou Manado dengan diagnosis sepsis yang memenuhi kriteria inklusi pada data rekam medik periode Juni 2018 sampai Juli 2019. Hasil penelitian mendapatkan jumlah total 34 pasien. Jumlah/persentase tertinggi dari pasien setelah dilakukan tindakan kode biru didapatkan pada usia >50 tahun yaitu 29 orang (72,5%); jenis kelamin perempuan yaitu 22 orang (55%); response time <5 menit yaitu 33 orang (97%); dan pasien yang meninggal dunia <24 jam yaitu 34 orang (100%). Simpulan penelitian ini ialah dengan response time <5 menit, angka kematian pasien sepsis dengan kode biru masih tetap tinggi yaitu mencapai 100% dalam waktu <24 jam.Kata kunci: kode biru, sepsis
K Era Post-truth dan Perilaku Self-diagnosis: Era Post-truth dan Perilaku Self-diagnosis Rawis, Daniel; Sitorus, Fitzerald Kennedy
Jurnal Ilmu Komunikasi Dan Media Sosial (JKOMDIS) Vol. 3 No. 3 (2023): September - Desember
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jkomdis.v3i3.1309

Abstract

The era of post-truth, marked by the spread of false information that has created an environment in which objective truth is often threatened and replaced by narratives that match individual beliefs and emotions. Self-diagnostic behavior is increasingly emerging as the ability of information independence, where individuals tend to find out about their own health conditions through social media without professional consultation. Post-truth phenomena relate to self-diagnostic behavior where there are factors such as information literacy, social media, and technology that influence post-true and self-diagnosis. This paper explores the relationship between the post-truth era and self-diagnostic behaviour, investigating how the dissemination of unverified information affects the individual's decision to seek and receive medical diagnosis independently. This paper is expected to provide insight into the dynamics of the post-truth era in the context of health and identify efforts that can be taken to improve information literacy and sustainability of self-diagnostic behaviour in society.