TB Infection Control in TB/HIV Settings in Cross River State, Nigeria: Policy Vs Practice
Bibliographic record
Abstract
TB and HIV remain a dangerous duo of significant public health concern across the globe. Both diseases require significant community and health system activities to be successfully managed. TB infection control is an important disease prevention strategy among the general population and among people living with HIV, in cost and management. We undertook to assess the situation of TB infection control at three levels of health care in Cross River State of Nigeria. A qualitative method was used to assess TB infection control (TBIC) knowledge, attitudes, and practices of the health care workers at each of the purposefully selected facilities using a semi-structured questionnaire - University of Calabar Teaching hospital, Calabar; Infectious disease Hospital, Calabar and primary Health Centre, Calabar Municipal, between 15th to 31st November, 2019 in the first phase, and an extension to February, 2020 due to delayed ethical clearance from the University of Calabar Teaching hospital. Data was collected and entered on an excel template and cleaned by trained data entry clerks. Charts and color diagrams were developed to compare specific descriptive data. There is wide variation between the written policies of TB infection control and the practices among health workers. Even though there are strong administrative protocols to support TB infection control in the higher levels of care, it is better practiced in the lower level PHC where the protocols were not spelt out.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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 teacher head, 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".