Chongsuvivatwong, Virasakdi
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Relative Risk and Distribution Assessment of Tuberculosis Cases: A Time-Series Ecological Study in Aceh, Indonesia Sasmita, Novi Reandy; Khairul, Mhd; Fikri, Mumtaz Kemal; Rahayu, Latifa; Kesuma, Zurnila Marli; Mardalena, Selvi; Kruba, Rumaisa; Chongsuvivatwong, Virasakdi; Asshiddiqi, M. Ischaq Nabil
Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Vol. 8 No. 6: JUNE 2025 - Media Publikasi Promosi Kesehatan Indonesia (MPPKI)
Publisher : Fakultas Kesehatan Masyarakat, Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/mppki.v8i6.7264

Abstract

Introduction: Tuberculosis (TB) remains a critical public health issue, particularly in high-incidence regions like Aceh Province, Indonesia. This study aimed to estimate the Relative Risk (RR) and analyze significant differences in the temporal distribution of TB cases across Aceh Province. Methods: A time-series ecological study was conducted using TB case and population data from 23 districts/cities in Aceh Province between 2016 and 2022. Data were analyzed using R software, applying descriptive and inferential statistics. The Standardized Morbidity Ratio (SMR) method estimates RR and is categorized into five risk levels. The Kolmogorov-Smirnov test assessed data normality, guiding the selection of statistical tests. The Friedman and Wilcoxon Signed-Rank tests examined differences in TB case distribution trends. Results: Significant spatial and temporal variations in TB risk were identified. Districts such as Banda Aceh (RR = 2.29–2.13) and Lhokseumawe (RR = 1.89–2.21) consistently demonstrated high RR from 2016 to 2022, reflecting persistent TB transmission. A general upward trend in TB cases was observed across districts, with significant spatial variation (p < 0.001), highlighting a worsening TB burden. Conclusions: The study emphasizes the urgent need for targeted public health interventions tailored to TB's unique spatial and temporal dynamics in Aceh Province, Indonesia. Applying SMR and robust statistical analyses provides valuable insights to inform localized TB control policies and strengthen management strategies in high-burden areas.
The Dynamic of Smoking Behavior through the Course of Tuberculosis Illness: A Hospital-Based Study in Medan, Indonesia Safira, Nanda; Wichaidit, Wit; Chongsuvivatwong, Virasakdi
Jurnal Respirasi Vol. 10 No. 2 (2024): May 2024
Publisher : Faculty of Medicine Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jr.v10-I.2.2024.114-119

Abstract

Introduction: Smoking is associated with the prognosis of tuberculosis (TB). The diagnosis of TB in patients who smoke or recently quit smoking can be a pivotal moment that motivates them to continue quitting smoking. However, there is a paucity of information on changes in smoking status among TB patients through the course of the disease. This study presented self-report smoking status during the pre-symptomatic, post-symptomatic, intensive treatment, and continuation treatment phases among TB patients receiving treatment. Methods: This was a cross-sectional study conducted at four hospitals in Medan, Indonesia, from December 2019 to February 2020. For at least one month, healthcare workers invited TB patients who had received treatment at the hospitals' TB-Directly Observed Treatment Shortcourse (DOTS) clinics to participate in this study. Trained enumerators collected the data through face-to-face interviews, in which the patients self-reported information on their smoking status at various phases. Results: Of 285 patients who met the inclusion criteria, 277 gave their consent (97% participation), of whom 146 never smoked in their lifetime. Among 131 ever smokers, 88 (67%) had quit smoking before or during the pre-diagnosis phase, 65 (51.6%) of whom remained quitters throughout the course of the disease. Thirty-eight patients continued to smoke after symptom onset, and more than half of them had stopped smoking by the continuation phase of treatment. Conclusion: Smoking cessation was relatively common after the appearance of TB symptoms and after diagnosis. However, some patients subsequently relapsed, while others were unable to quit smoking. Social desirability could have influenced the responses and should be considered in interpreting the study findings.