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Efforts to Detect Suspected Pulmonary Tuberculosis Cases Challenges and Strategies Oxalis, Siti Chalista Zaisha; Sugianti, Ratna; Kusdiyah, Erny
Scientific Of Environmental Health and Diseases (e-SEHAD) Vol. 5 No. 1 (2025): Electronic Journal Scientific of Environmental Health And Diseases
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/e-sehad.v5i2.43135

Abstract

Background: Tuberculosis (TB) remains a major global health issue due to its high prevalence and significant impact on public health. Early detection of suspected TB cases is essential for controlling its spread and reducing mortality. However, various challenges, including low public awareness and inadequate screening efforts, hinder effective case identification. This study aims to analyze the barriers to detecting suspected pulmonary TB cases and propose strategies to enhance case detection efforts. Method: This study employs a quantitative descriptive approach using a questionnaire distributed to 30 TB patients and suspected cases. Data were analyzed using statistical methods to assess knowledge, attitudes, and behaviors related to TB case detection.Result: The findings indicate that 56.6% of respondents have poor knowledge about TB, while only 43.4% have good knowledge. Regarding attitudes, 56% of respondents showed poor attitudes towards TB detection and treatment-seeking behavior. Additionally, TB case detection has not met the target, with only 81.9% (250 out of 305 cases) of suspected TB cases identified, and 59.6% (34 out of 57 cases) of TB patients currently undergoing treatment. These results highlight the need for improved public awareness and more effective case detection efforts. Conclusion: To enhance TB case detection, this study recommends increasing public awareness through targeted educational programs, distributing informational materials, and strengthening community-based screening efforts. Improving these initiatives is essential for achieving early TB detection and reducing disease transmission.