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    The Association Between Patient Characteristics and Disease Outcomes of COVID-19 in Jember, Indonesia

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    KEDOKTERAN_ABSTRAK_DianaChusnaMufida_The Association Between Patient Characteristics and Disease Outcomes of COVID-19 in Jember, Indonesia.pdf (3.168Mb)
    Date
    2021-12-24
    Author
    MUFIDA, Diana Chusna
    PURWANDHONO, Azham
    SUSWATI, Enny
    RAHARJO, Angga Mardro
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    Abstract
    COVID-19 can cause serious conditions in both comorbid and elderly patients; hence, they need to be given proper follow-up treatment. This study aimed to determine the association between patient characteristics and disease outcomes of COVID-19 in Jember, Indonesia. This research is an analytic observational study with a cross-sectional approach. The sample was 304 patients confirmed positive for COVID-19 at the COVID-19 referral hospitals in Jember. This study used medical record data analyzed using both univariate and bivariate tests. Patient characteristics related to the disease outcomes in patients who were positive for COVID-19 in Jember, are as follows: age (p = 0.000), clinical symptoms (p = 0.017), comorbidities (p = 0.000), and complications (p = 0.000). The unrelated variables were sex (p = 0.455), education level (p = 1.000), domicile (p = 1.000), occupation (p = 0.322), and smoking history (p = 0.147). Patients most at risk of developing fatal outcomes are those with complications. Patient characteristics associated with the disease outcomes in patients positive for COVID-19 were age, clinical symptoms, comorbidities, and complications. While, those that were not related to the disease outcomes in patients were sex, education level, occupation, domicile, and smoking history.
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    http://repository.unej.ac.id/xmlui/handle/123456789/105634
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    • LSP-Jurnal Ilmiah Dosen [7369]

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    UPA-TIK Copyright © 2024  Library University of Jember
    Contact Us | Send Feedback

    Indonesia DSpace Group :

    University of Jember Repository
    IPB University Scientific Repository
    UIN Syarif Hidayatullah Institutional Repository