Mufida Ersanti, Arina
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PERFORMANCE EVALUATION OF TUBERCULOSIS SURVEILLANCE SYSTEM IN BANGKALAN DISTRICT, 2024 Endah Purwatiningsih, Dwi; Mufida Ersanti, Arina; Dian Anggraini, Risma
Mulawarman International Conference on Tropical Public Health Vol. 1 No. 1 (2025): The 3th MICTOPH
Publisher : Faculty of Public Health Mulawarman University, Indonesia

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Abstract

Background : Tuberculosis is a contagious disease through droplets and spreads through the air, so it requires strict monitoring through a surveillance system. Surveillance system evaluation is needed to assess whether the system is able to detect, report and respond to cases appropriately and accurately. Objective : The purpose of the study was to describe the Tuberculosis surveillance system based on surveillance attributes in Bangkalan Regency. Research Methods/ Implementation Methods : the study is a descriptive evaluative study using the CDC framework attribute approach to assess the feasibility, error, acceptability, sensitivity, representation, timeliness, quality and stability of data. Data collection was carried out by interview using a questionnaire, document study using a checklist. Respondents were 22 tuberculosis officers at health centers and 1 tuberculosis officer at the health office, Data analysis includes describing surveillance attributes compared to existing guidelines. Data presentation in the form of tables and narratives. Results : evaluation of the surveillance system based on attributes shows that the surveillance system has the right time which is flexible, sensitive, good data quality so that it can produce representative and valid information/data. Has a system that is not simple where the system involves other institutions. Data cannot be accessed where there are private data sources (25%) that have not reported routinely. The positive predictive value of the proportion of tuberculosis suspects is low (19.02%). The surveillance system is unstable where there are obstacles to the health center internet network (82%). Conclusion/Lesson Learned : the surveillance system has not functioned well on the attributes of acceptability, positive predictive value and data stability. Requires coordination with other institutions, monitoring of data sources that have not reported, strict detection of tuberculosis through screening, and strengthening the health center internet network. Recommendations are expected to strengthen the system and support the tuberculosis surveillance system.
RISK FACTORS AND CHARACTERISTICS OF ACTIVE AND LATENT TUBERCULOSIS IN CHILDREN ≤ 14: ACTIVE CASE FINDING: Faktor Risiko dan Karakteristik Tuberkulosis Aktif dan Laten Pada Anak ≤ 14 Tahun: Penemuan Kasus Aktif Syahrul, Fariani; Catur Adi, Annis; Fajar Nuraida, Lutfi; Mufida Ersanti, Arina; Tri Sulistijorini, Hinu; Lipu, Yanto; Salisa, Wizara; Shafira Putri, Maurilla; Al Himny Rusydy, Muhammad; Ghanynafi, Abdullah
Jurnal Berkala Epidemiologi Vol. 13 No. 3 (2025): Jurnal Berkala Epidemiologi (Periodic Epidemiology Journal)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jbe.V13I32025.299-307

Abstract

Background: In 2024, 135,000 tuberculosis (TB) cases were reported in Indonesian children, accounting for part of the 885,000 total TB cases nationwide. Pediatric TB remains a concern due to children’s vulnerability from immature immunity, poor nutrition, and close contact with TB patients. Early detection through active case finding (ACF) is crucial for identifying active and latent TB in at-risk populations. Purpose: To determine the prevalence of active and latent TB and analyze associated risk factors among children screened through ACF. Methods: A cross-sectional study was conducted among 870 children in Sidoarjo Regency using ACF. Active TB was diagnosed through symptom interviews and sputum examination, while latent TB was determined by tuberculin skin test (TST). Nutritional status was assessed using body mass index (BMI). Bivariate analysis was performed to assess associations with active TB. Results: The prevalence of active TB was 4%, and that of latent TB was 4.7%. Among TB cases, 46% were active and 54% latent. Malnutrition was common in active (77%) and latent (46%) TB. Bivariate analysis showed no significant associations with gender, close contact, or passive smoking. Children aged <5 years had a higher risk than those aged 5–14 years (OR = 3.11; 95% CI: 0.99–9.79; p = 0.064). Nutritional status was significantly associated with active TB (χ² = 7.85; p = 0.049). Underweight children had nearly four times higher risk of active TB compared to those with normal nutrition (OR = 3.94; 95% CI: 1.32–11.76; p = 0.018). Conclusion: ACF was effective in detecting active and latent TB among children. Malnutrition was a significant risk factor, suggesting that nutritional interventions should be integrated into pediatric TB control strategies. Patients had close contact with active TB patients.