Anton Wambrauw
Faculty of Public Health, Cendrawasih University, Jayapura, Papua, Indonesia

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Demographic Profile, Medical History, Comorbidities, and Factors Associated with Treatment Success among Drug-Sensitive (SO) Tuberculosis Patients Katarina Lodia Tuturop; Dolfinus Yufu Bouway; Agustina Regina Yufuai; Inriyanti Assa; Anton Wambrauw; Lenny Pangkali
MEDICA (International Medical Scientific Journal) Vol. 8 No. 9 (2026): MEDICA (International Medical Scientific Journal)
Publisher : Borneo Scientific Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53770/medica.v8i9.1383

Abstract

Drug-sensitive (SO) tuberculosis (TB) remains a public health burden in Papua, yet the profile of SO-TB patients at primary care level remains poorly documented. This study aimed to describe the demographic, medical history, and comorbidity profile of SO-TB patients and examine their association with treatment outcomes. A retrospective observational study used secondary data from the Puskesmas Waibhu catchment area, Papua, from January 2023 to December 2025. It included 768 treatment episodes from 729 patients selected through total sampling. Data came from the TBC.03 SO Health Facility Register and were analyzed using chi-square, Fisher’s exact tests, and binary logistic regression. Outcome analysis was restricted to 499 episodes from 2023–2024 with fully evaluated outcomes, including 498 in the multivariate model, because most 2025 episodes had no final outcome at extraction. Most were new cases (84.2%) and adults (66.5%; mean age 25.5 years), while comorbidity screening completeness was low. In the multivariate analysis, bacteriologically confirmed diagnosis was associated with lower odds of treatment success (adjusted OR=0.43; 95% CI 0.25–0.76; p=0.003), whereas referred/accompanied referral was associated with higher odds of success (adjusted OR=2.22; 95% CI 1.24–3.99; p=0.008). Unknown diabetes mellitus history status was also associated with treatment success (adjusted OR=0.53; 95% CI 0.30–0.93; p=0.026), likely reflecting incomplete screening or documentation. Strengthening referral pathways and comorbidity screening may support TB program performance in primary care. Given the retrospective design, these associations should not be interpreted as causal. Prospective studies with larger samples and broader coverage are needed.
Demographic and Clinical Factors Associated with Unsuccessful Treatment Outcomes among Tuberculosis Patients in Mimika Regency, Central Papua Dolfinus Yufu Bouway; Sherli Novita Mamoribo; Paula Nancy Lefaan; Erich Christian Wayangkau; Anton Wambrauw
MEDICA (International Medical Scientific Journal) Vol. 8 No. 9 (2026): MEDICA (International Medical Scientific Journal)
Publisher : Borneo Scientific Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53770/medica.v8i9.1391

Abstract

Tuberculosis (TB) remains a public health issue in Indonesia, which had the world’s second-highest TB burden in 2024, accounting for 10% of global cases. Mimika Regency, Central Papua, is among districts with a high TB burden in Indonesia. This study aimed to describe demographic and clinical characteristics of TB patients and identify factors associated with unsuccessful treatment outcomes in Mimika Regency in 2025. A retrospective analysis of secondary program data was conducted using the Mimika Regency SITB TB.03 patient register from January to December 2025. Of 2,407 registered patients, 857 (35.6%) had a final treatment outcome at extraction; analyses were restricted to this subset, and incomplete outcome recording may introduce selection bias. Univariate, bivariate (chi-square/Fisher’s exact test), and multivariate logistic regression analyses used Python. Most patients were male (57.5%), with median age 31 years; 88.7% had pulmonary TB and 73.7% were new cases. Among patients with outcomes, 72.7% achieved treatment success, while 27.3% had unsuccessful outcomes. Bivariate analysis showed associations with age group, TB site, previous treatment, HIV status, and occupational status. Multivariate analysis identified HIV-positive status (aOR=2.19; 95%CI: 1.24–3.87; p=0.007), extrapulmonary TB (aOR=1.78; 95%CI: 1.12–2.82; p=0.015), and unknown occupational status (aOR=1.64; 95%CI: 1.09–2.45; p=0.017) as factors associated with unsuccessful outcomes, while age <15 years was associated with lower odds (aOR=0.56; 95%CI: 0.36–0.88; p=0.012). Given limited outcome data, findings should be interpreted cautiously. Strengthening TB-HIV services, comorbidity screening, and completeness of TB recording may improve treatment outcomes and program monitoring.