AC-2020-12-1420.R1 – HIV care providers’ familiarity, concerns, and attitudes about HIV PrEP in Colombia: insights from the PrEP-Col-Study
Bibliographic record
Abstract
In 2019, Colombia approved the combination of tenofovir disoproxil fumarate/emtricitabine for HIV Pre-Exposure Prophylaxis (PrEP). Therefore, we conducted a situational analysis in HIV-care providers to identify barriers and facilitators for PrEP implementation. A survey was applied to a non-probabilistic sample of health care workers of HIV-specialized clinics. We examined PrEP awareness and familiarity, comfort with PrEP-related activities, perceived barriers for PrEP implementation, concerns, and attitudes. Poisson regressions assessed the relationship between these factors and the variable "having a plan to offer PrEP". The participation rate was 41% and included physicians (42.6%) and other health professionals (57.4%). Fifty-one percent of the participants reported more than five years of experience caring for people living with HIV. Forty-two percent of non-physician health care workers were nurses. Most reported high familiarity/comfort with PrEP-relevant activities. Concerns about PrEP were prevalent (> 50%) and included causing more harm than good, reducing condom use, medication non-adherence, drug resistance, and healthcare system barriers. Physicians had a plan to offer PrEP (72.2%) more often than other health professionals (52.6). Having a plan to offer PrEP was related to PrEP knowledge and comfort assessing sexual behavior and providing HIV counseling. Overall, about half of HIV-care providers seemed ready to offer PrEP and constitute an asset for PrEP implementation efforts in Colombia. PrEP awareness among non-physicians, PrEP concerns, and negative attitudes need to be addressed to enhance implementation.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".