<b>Assessing Knowledge, Attitudes, and Practices on Tuberculosis and their Influence on Case Detection: A Facility-Based Study at Father Thomas Alan Rooney Memorial Hospital in Amenfi West Municipality, Ghana</b>
Bibliographic record
Abstract
Tuberculosis (TB) continues to pose a significant public health threat in Ghana, particularly in rural areas where delayed diagnosis and persistent stigma impede early case detection and treatment. This study assessed the knowledge, attitudes, and practices related to TB among patients and healthcare workers at Father Thomas Alan Rooney Memorial Hospital in the Amenfi West Municipality. A cross-sectional mixed-methods design was employed involving 303 participants, using structured questionnaires and key informant interviews. Quantitative data were analysed using descriptive statistics, chi-square tests, and logistic regression, while qualitative responses were thematically examined. Findings revealed that although 75.9% of respondents acknowledged TB as curable, only 59.4% correctly identified its bacterial cause and 58.1% understood its airborne transmission. Higher education and health worker status were significantly associated with better TB knowledge. Stigma remained prevalent, with nearly half of respondents expressing discomfort interacting with TB patients and over a quarter reporting delayed care-seeking due to fear of social judgment. Qualitative data reinforced these findings, highlighting widespread misconceptions, spiritual interpretations of TB, and inadequate health communication. The study concludes that targeted health education and stigma reduction initiatives are urgently needed, alongside capacity building within health facilities to improve TB detection and community engagement in rural Ghana. Keywords: Tuberculosis; Knowledge, Attitudes and Practices (KAP); Stigma; Case Detection; Rural Health; Health Education; Ghana; Amenfi West; Healthcare Workers; Health-Seeking Behaviour
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".