A Cross-Sectional Study to Assess HIV/AIDS-Related Stigma and Its Drivers Among Dental Healthcare Providers in Islamabad, Pakistan
Bibliographic record
Abstract
Introduction HIV-related stigma and discrimination among healthcare providers are some of the strongest obstacles to effectively responding to HIV and achieving health-related quality of life. In the Pakistani context, HIV-related discrimination has been explored mainly among people living with HIV (PLHIV), and no study has investigated HIV-related stigma from the perspective of dental healthcare providers. Aim This study aimed to investigate the HIV-related stigma among dental healthcare workers in Pakistan and understand the factors associated with it. Methodology This cross-sectional study was conducted for a period of three months (December 2021 to February 2022) among 601 consenting dental healthcare providers in all public and private dental healthcare facilities in Islamabad, Pakistan. Pretested questionnaires collected information on demographics, work-related characteristics, knowledge, attitudes, and practices regarding HIV/AIDS. HIV-related stigma was assessed through "the stigma index" developed by USAID and was measured as a continuous variable. Multivariate linear regression analysis evaluated the independent effect of different factors associated with HIV-related stigma. Results HIV-related stigma remains highly prevalent within both public and private dental healthcare facilities in ICT and among all cadres of dental healthcare providers. Among associated factors, misconceptions in HIV knowledge are highly significant (p < 0.001) and those with a higher score of incorrect HIV knowledge had higher levels of stigma. Healthcare providers who read any HIV-related manual or guidelines were found to be less stigmatized as compared to those who have not been exposed to any such literature (p=0.029). Dentists (p=0.04) showed higher levels of stigma as compared to dental assistants and dental hygienists, while employees of private hospitals (p=0.0) and private clinics (p=0.0) were far more stigmatized by HIV in comparison to dental healthcare providers in public hospitals. Conclusion This study provides the first-ever analysis of HIV-related stigma and its drivers in the dental healthcare settings in Pakistan and highlights multiple individual, clinical, and policy-level factors associated with it. In order to address this stigma, it is essential for healthcare institutions to create supportive and inclusive healthcare settings, by providing education and training to care providers in order to increase their understanding of the disease itself. In addition, healthcare institutions can take steps to ensure that their policies and practices are inclusive and non-discriminatory, such as implementing policies that prohibit discrimination based on HIV status and providing confidential care. On the other hand, care providers must work to recognize their own biases and strive to provide non-discriminatory and culturally sensitive care to all patients. The findings of this study could be used as a baseline and insight by organizations like the National AIDS Control Program into possible targets for future exploration and interventions to effectively reduce the stigma toward PLHIV in dental healthcare settings.
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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 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".