Kajian Literatur: Gambaran Karakteristik Kasien COVID-19

Diah, Ester and Pane, Netty and Saladan, Novita (2021) Kajian Literatur: Gambaran Karakteristik Kasien COVID-19. Bachelor thesis, Universitas Pelita Harapan.

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Abstract

Latar Belakang: Corona virus disease 2019 (COVID-19) merupakan nama penyakit bagi pasien yang terinfeksi virus novel corona 2019. Penyebaran virus sangat cepat kurang lebih selama < 3 bulan diberbagai provinsi di Indonesia. Di Indonesia, telah tercatat jumlah kasus berdasarkan jenis kelamin ada sebanyak 179.600 perempuan dan sebanyak 173.747 laki-laki. Kasus COVID-19 menyebar melalui transmisi droplet. Tujuan Penelitian: Mengidentifikasi karakteristik pasien COVID-19 berdasarkan demografi, penyakit komorbid dan riwayat perjalanan pasien. Metode Penelitian: Pencarian data diambil dari electronic database online seperti, Pudmed, Garuda, Springer Link dan Science Direct. Kata kunci dalam bahasa inggris yang digunakan Characteristic patients” AND “COVID-19. Kata kunci dalam bahasa indonesia yang digunakan yaitu Karakteristik pasien “AND” COVID-19. Pencarian artikel menggunakan kriteria inklusi dan kriteria eksklusi. Dalam analisis data menggunakan pendekatan simplified approach dengan format Joanna Briggs Institute (JBI) Critical Appraisal Checklist for cohort study dan cross sectional study. Hasil Penelitian: Hasil ulasan yang diperoleh dari 10 artikel didapatkan artikel yang memiliki karakteristik yang sama yaitu data demografi diantaranya usia pasien dengan rata rata 51-76 tahun. Usia tersebut yang termasuk dalam kategori pra lansia dan lansia. Jenis kelamin yang mayoritas berjenis kelamin laki-laki. Penyakit komorbid diantaranya hipertensi, DM, dan penyakit paru kronis. / Background: Coronavirus disease 2019 (COVID-19) is the name of the disease for the infected patients of the 2019 corona novel virus. The spread of the virus is very fast for less than 3 months in various provinces in Indonesia and has become a new pandemic at this time. In Indonesia, the number of cases based on gender has been recorded as 179,600 female and 173,747 male as much. COVID-19 cases are spread through droplet transmission. Objectives: To identify the characteristics of COVID-19 patients based on demographics, comorbid diseases and patient travel history. Research Methods: Data search was taken from online electronic databases such as PudMed, Garuda, Springer Link and Science Direct. Keywords in English used Characteristic patients "AND" COVID. Keywords in Indonesian used are the characteristics of the patient "AND" COVID-19. Search for articles using inclusion criteria and exclusion criteria. Data analysis used a simplified approach using the Joanna Briggs Institute (JBI) Critical Appraisal Checklist for cohort studies and cross-sectional studies. Result: The results of the review obtained from 10 articles found that the articles had the same character, namely the demographic data age with an average of 51-76 years. The age included in the category pre-elderly and elderly. The majority gender of which was male. Comorbid diseases including hypertension, diabetes, and chronic lung disease.

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