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All Journal Window of Health : Jurnal Kesehatan Jurnal Ilmiah Multidisiplin Indonesia
Hesty Utami R
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Agriculture, Biological Sciences & Forestry Computer Science & IT Earth & Planetary Sciences Engineering Medicine & Pharmacology Nursing Physics Public Health

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Survival Analysis and Risk Factors for COVID-19 Patients at Koja Hospital Kemal Pradana Putra; Dian Ratih L; Hesty Utami R; Rita Novariani; Natasja R Kandou
Window of Health : Jurnal Kesehatan Vol 7 No 2 (April 2024)
Publisher : Fakultas Kesehatan Masyarakat Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/woh.vi.773

Abstract

The COVID-19 pandemic impacts global health, and no specific drug has proven effective in curing SARS-CoV-2 infection. This study aimed to analyze the survival characteristics of COVID-19 patients in Koja Hospital. This research method is analytically observational with a cross-sectional design. The study population was 1080, and the research sample was 284 patients. The sampling used a purposive sampling method with a retrospective approach from the medical records of confirmed COVID-19 inpatients from May to October 2020. The analysis uses SPSS software version 26. Categorical variables were analyzed using the chi-square test or Fisher’s exact test. Kaplan Meier, Log Rank, and Cox Regression were used for the probability of survival analysis and mortality risk ratio in COVID-19 patients. The case fatality rate (CFR) of 284 COVID-19 patients was 20.4%. The mean age of the patients was 49 years (IQR 37–57). The most common comorbidity was hypertension, 34%. The average probability of survival of COVID-19 patients was above 60%. In addition to gender, predictors including age, comorbidities, type of intensive care, and use of antivirals had significant differences and affected the chances of survival of COVID-19 patients. Patients given oseltamivir monotherapy had the highest survival rate of about 80% after undergoing treatment for about 38 days (p equal 0.000). The mortality risk ratio of COVID-19 patients with comorbid diabetes mellitus was 8.7 times higher than that of those without comorbidities (95% CI 1,02–75.82, p less than 0.048). Patients with intensive care had an 11.43 times increased mortality risk ratio compared to usual care (95% CI 6,34–20,62, p less than 0.000). The conclusion of this study is intensive care and a history of diabetes mellitus are associated with the risk of death. There needs to be an increase in COVID-19 control measures, especially in populations prone to comorbid diabetes with severe and critical degrees.
Analysis of Potentially Inappropriate Medication (PIM) Risk Factors In Geriatric Hypertension Patients With Comorbids In Inpatients Based On Beer's® 2023 Criteria Hospital X Fitria Aptika; Ros Sumarny; Hesty Utami R; Mida P
Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID) Vol. 4 No. 05 (2025): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), June 2025
Publisher : Sean Institute

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Abstract

Hypertension is still a health problem for the elderly. Polypharmacy, which is common in the elderly and cannot always be avoided, often poses a risk of poor outcomes and can increase the risk of Potentially Inappropriate Medication (PIM). The purpose of this study was to identify socio-demographic characteristics, use of drugs that meet the Beer's® 2023 criteria, the relationship between the number of drugs prescribed and the incidence of PIM, the relationship between the length of hospitalization and the incidence of PIM and what risk factors influence the incidence of PIM in geriatric patients with hypertension with comorbidities in hospitalization at Hospital X. The research method used a cross-sectional design with prospective data collection. The results showed that geriatric patients were more in the 65-69 year group by 55%, the most dominant gender was male by 38%, where all patients had various comorbidities which meant receiving ≥ 10 drugs with a maximum length of hospitalization ≥ 5 days. The relationship between the number of drugs and the incidence of PIM has a significant relationship with a value of (p<0.25) 0.197, which means that the number of drugs and the incidence of PIM has a significant correlation. The relationship between the length of hospitalization and the incidence of PIM has a significant relationship with a value of (p<0.25) 0.169, which means that the length of treatment affects the incidence of PIM. Risk factors that trigger the incidence of PIM are gender, number of drugs and length of hospitalization.
Co-Authors Dian Ratih L Fitria Aptika Kemal Pradana Putra Mida P Natasja R Kandou Rita Novariani Ros Sumarny