Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Sriwijaya Journal of Internal Medicine
Suherdy
Unknown Affiliation
Biochemistry, Genetics & Molecular Biology Health Professions Immunology & microbiology Medicine & Pharmacology Nursing

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Analysis of Risk Prediction Models to Identify Patients at High Risk of Urinary Incontinence Amal, Rizki Jaya; Suherdy; Delfi Sanutra; Munawmarah; Jevo Rifan Sandikta
Sriwijaya Journal of Internal Medicine Vol. 2 No. 2 (2024): Sriwijaya Journal of Internal Medicine
Publisher : Phlox Institute: Indonesian Medical Research Organization

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59345/sjim.v2i1.110

Abstract

Introduction: Urinary incontinence (UI) is a common health problem and is often undiagnosed in hospital patients. UI can cause complications such as urinary tract infections, dermatitis, and decreased quality of life. This study aims to apply a risk prediction model to identify patients at high risk of experiencing UI at Tengku Peukan General Hospital, Southwest Aceh, Indonesia. Methods: This study used a prospective cohort design. Data was collected from 100 patients hospitalized at Tengku Peukan General Hospital, Southwest Aceh. A risk prediction model was developed using logistic regression. Model performance is measured by AUC-ROC values and accuracy. Results: The risk prediction model developed had an AUC-ROC value of 0.85 (95% CI: 0.78-0.92) and an accuracy of 82%. The most significant risk factors for UI are age, gender, history of UI, and use of diuretic medications. Conclusion: This risk prediction model can help nurses and doctors identify patients who are at high risk of experiencing UI at Tengku Peukan General Hospital, Southwest Aceh. Early intervention in high-risk patients can help prevent UI complications and improve the patient's quality of life.
Co-Authors Amal, Rizki Jaya Delfi Sanutra Jevo Rifan Sandikta Munawmarah