Assessment of Patients Knowledge of Tuberculosis Transmission Mode, Risk Factors and Drug Resistance in AL Anbar, Governorate, Iraq 2022-2023
Bibliographic record
Abstract
Abstract: Background: Tuberculosis (TB) is an airborne infectious disease caused by bacteria that mostly affects the lungs. It spreads through the air when infected people cough, sneeze, or spit. After COVID-19 TB is the second leading infectious killer and death worldwide. Our study assessed the patients’ knowledge of Tuberculosis transmission mode, Risk Factors, and drug resistance in the AL-Anbar Governorate. Methodology: A cross-sectional study design using a nonprobability sampling of (176) Tuberculosis patients registered at the Tuberculosis Health Center in Ramadi City-Iraq in 2022-2023. A questionnaire sheet was used, and a p-value of less than (0.05) was considered significant. Results: Ninety percent were over 40 years with a mean of 57±13.4. Most of them were males, married, and farmers. Less than a quarter (20%) with a family income<500,000 Iraqi dinar but more than half (68%) between (500,000 -750,000) Iraqi dinar monthly. (65%) of the total patients were old cases. Regarding the knowledge of the mode of transmission, more than a quarter said by crowding 51(29%) but less said by cough 40(23%), 32(18%) family history, 23(13%) direct contact, and (17%) didn’t know with a statistical significance with education. Regarding risk factors, less than half 70(40%) were smokers but more than a quarter 53(30%) had hypertension, and some of them 27(15%) had diabetes and the same percentage had renal diseases. For drug resistance, a small number of 25(14%) was reported as a secondary line resistant to isoniazid, most of them were males and more than a quarter were smokers. More than a quarter (29%) of the patients had extrapulmonary TB before the age of 50 years while 71% had it after 50 years old with a statistical significance with age. Conclusions: Middle-aged males with low income were most affected, a small number had secondary line resistance to isoniazid drug. There was a moderate knowledge of the transmission mode affected by education. The most common risk factors were smoking and hypertension. Keywords: Knowledge of Transmission Mode, Risk Factor, Drug Resistance. Title: Assessment of Patients Knowledge of Tuberculosis Transmission Mode, Risk Factors and Drug Resistance in AL Anbar, Governorate, Iraq 2022-2023 Author: B N Abdul-Fatah, H O Mashaan, A K Awad International Journal of Healthcare Sciences ISSN 2348-5728 (Online) Vol. 13, Issue 1, April 2025 - September 2025 Page No: 55-60 Research Publish Journals Website: www.researchpublish.com Published Date: 23-April-2025 DOI: https://doi.org/10.5281/zenodo.15270442 Paper Download Link (Source) https://www.researchpublish.com/papers/assessment-of-patients-knowledge-of-tuberculosis-transmission-mode-risk-factors-and-drug-resistance-in-al-anbar-governorate-iraq-2022-2023
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".