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All Journal Jurnal Berkala Epidemiologi Journal Of Vocational Health Studies
Tan, Feriawan
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Health Professions Immunology & microbiology Public Health

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MICROBIAL PATTERNS OF HOSPITALIZED HIV POSITIVE PATIENTS ADMITTED IN DR. SOETOMO GENERAL HOSPITAL, SURABAYA INDONESIA Tan, Feriawan; Triyono, Erwin Astha; Wahyunitisari, Manik Retno
Journal of Vocational Health Studies Vol. 5 No. 1 (2021): July 2021 | JOURNAL OF VOCATIONAL HEALTH STUDIES
Publisher : Faculty of Vocational Studies, Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jvhs.V5.I1.2021.1-11

Abstract

Background: HIV patients with a weak immune system are very vulnerable to opportunistic infections, can trigger systemic endothelial activation and end up as a condition of sepsis. In Indonesia currently, there is no bacterial epidemiological mapping of the etiology of opportunistic infections in HIV patients. Purpose: To determine the pattern of bacteria that cause opportunistic infections and their antibiotic sensitivity in HIV patients. Method: Prospective observational study design. Data were obtained from medical records of hospitalized patients at RSUD Dr. Soetomo Surabaya from August 2019 - February 2020. Result: Out of 64 patients, 83 specimens were found with the most types of gram-negative bacteria 44.6%, while gram-positive bacteria were 15.7% and a mix of 2.4% and 37.3% negative culture. The highest prevalence of gram-negative bacteria was Klebsiella pneumoniae (35.15), followed by Escherichia coli (10.8%), Pseudomonas aeruginosa (8.1%), and Acinetobacter baumanii (8.1%). The highest prevalence of gram-positive bacteria was Streptococcus mitis / oralis (30.7%), followed by Staphylococcus aureus (23.1%) and Staphylococcus epidermidis (15.4%). Among gram-negative bacteria antibiotic, Cefoperazone-sulbactam showed the greatest sensitivity, following by Amikacin, Gentamycin and Piperacillin-tazobactam; while among gram-positive bacteria are Chloramphenicol, Linezolid, and Vancomycin. Almost all isolates showed resistance to Ampicillin. Conclusion: Bacteria pattern that caused opportunistic infection in RSUD Dr. Soetomo is K. pneumonia as most common gram-negative bacteria followed by E. coli, P. aeruginosa and A. baumanii; while the most gram-positive bacteria found are S. mitis/oralis and S. aureus. Among antibiotic used, Ampicillin showed the lowest sensitivity to almost all bacteria isolates.
EARLY DETECTION OF LOW VISION DETERMINANT FACTORS USING THE E-SIGALON SELF-ASSESSMENT APPLICATION: Deteksi Dini Faktor Determinan Low Vision Menggunakan Aplikasi e-SIGALON Berbasis Pemeriksaan Mandiri Triyono, Erwin Astha; Arini, Merita; Tan, Feriawan; Masyfufah, Lilis; Rachmad, Eka Basuki; Kusumayanti, A.A.Ayu Mas; Kartikawati, Tri; Kartikadewi, Indriani; Novanda, Aisyah Wahyu; Ramadhani, Putri Nabilah
Jurnal Berkala Epidemiologi Vol. 12 No. 3 (2024): Jurnal Berkala Epidemiologi (Periodic Epidemiology Journal)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jbe.V12I32024.263-272

Abstract

Background: Low Vision is an end-stage condition that cannot be cured. The best treatment for low vision is the early detection. However, there is still no integrated low vision data in health services, the lack of public knowledge about low vision, the low rate of case discovery, and the lack of optimal referral and treatment mechanisms for low vision are problems that must be addressed at this time. Purpose: This study aims to detect early low vision determinant factors using a self-assessment application. Methods: This study is analytical and quantitative research. Respondents for this research were from five selected populations in East Java who filled out the e-SIGALON application from September to December 2023. The respondents were suspected as having low vision if they had score of 6 or higher. The variables were analyzed using logistic binary regression, the validity and reliability test was also performed. Results: From 446 respondents, there were 237 people (53.14%) suspected of low vision but only 66 people came to referral hospital. The low vision suspect showed 12 of the 15 statistically significant questions (p<0.05). The most common was sitting very close to the television/monitor (48.43%), followed by having difficulties in seeing objects in dim light (44.17%) and difficulties in doing the things they want to do (40.13%). Conclusion: The e-SIGALON application can be a solution in managing low vision. Through this application, people can easily find out and recognize whether they have low vision or not.
Co-Authors Arini, Merita Erwin Astha Triyono Kartikadewi, Indriani Kartikawati, Tri Kusumayanti, A.A.Ayu Mas Masyfufah, Lilis Novanda, Aisyah Wahyu Rachmad, Eka Basuki Ramadhani, Putri Nabilah Wahyunitisari, Manik Retno