HIV-Related Stigma and Discrimination (S&D) among Healthcare Workers (HCW) in Government Healthcare Facilities in Malaysia: Is It Real?
Bibliographic record
Abstract
Stigma and discrimination (S&D) undermine quality of life of people living with HIV (PLHIV) and their access to health services. In this context, an understanding of current stigmatizing attitudes among HCW towards PLHIV from the perspective of Malaysia healthcare setting is crucial to plan for service delivery improvement that is non-stigmatizing and non-discriminatory. The objective of this study was to examine and measure the level of S&D towards PLHIV among HCW in selected government facilities. A cross-sectional study was undertaken from July to August 2020 in five government hospitals and six government health clinics in Malaysia. Two sets of a validated self-administered questionnaires, one for HCW and another one for PLHIV were used to assess HIV-related S&D. This survey was conducted via web-based platform. Overall, 3880 HCW and 1173 PLHIV participated in this study. This study found significant proportion of HCW were having stigmatizing attitudes towards PLHIV. This includes fear of taking blood from PLHIV (87%) and double gloving when attending PLHIV (64%) probably due to fear of contracting HIV. In addition, 45% of HCW agreed that women living with HIV (WLHIV) should be prohibited from having children. Although HCW have fears for contracting HIV, their consciences and integrity allowed them to display some positive attitudes towards PLHIV with the majority of HCW 84% and 79% stated that they having observed others in their facility expressed willingness to care and providing good care to PLHIV. On PLHIV experience, only 12% of them reported that they had ever experienced stigma when accessing health services. The findings of this study shared a worrying magnitude of stigma towards PLHIV among HCW in Malaysia. Nevertheless, ethics and professionalism are upheld through giving good care and services to PLHIV. However, stigma reduction intervention programmes are still needed for HCW to ensure continuous excellent service delivery.
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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 | 0.000 | 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) | 0.001 | 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 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".