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Record W4311401301 · doi:10.19080/jojph.2022.07.555707

Baseline HIV Stigma Index Survey for St. Kitts and Nevis

2022· article· en· W4311401301 on OpenAlexfundno aff
Adegbenro Omotuyi John Fakoya, Angel M Matos Lugo, David Adeiza Otohinoyi, Ann Celestine

Bibliographic record

VenueJuniper Online Journal of Public Health · 2022
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsnot available
FundersMcMaster University
KeywordsStigma (botany)ConfidentialityMedicineHuman immunodeficiency virus (HIV)Family medicineHealth careGerontologyPsychologyPsychiatryComputer securityPolitical science

Abstract

fetched live from OpenAlex

The stigma associated with AIDS is a setback for HIV/AIDS prevention, care, and treatment. Persons living with HIV/AIDS (PLWH), and those that fear they might be HIV-infected, fear judgment and discrimination from within their community, and more especially from their health care services. Thus, this study seeks to establish a baseline index of the stigma level for HIV in Saint Kitts and Nevis (SKN), as well as estimate this level among local health care providers (HCP). A total of 88 participants volunteered for the study, consisting of 43 PLWH and 45 HCP. Data from the PLWH was collected by trained physicians, while the HCP collected their data via a self-administered questionnaire. The results of the study reveal that the majority of PLWH had experienced stigmatization due to their health condition, either externally or internally, or both. The study revealed deficiencies in HIV-patient counseling and possible breaches of confidentiality regarding HIV status disclosure. However, the results of the study statistically showed an occupational bias concerning potential confidentiality breaches, as none of the skilled participants had their status revealed without their permission. This differed for the semi-skilled and unskilled participants. Amongst the HCP, the study revealed both passive and active displays of HIV stigma, attributed mainly to insufficient training. The study also revealed that HCP’s perception of their work environment in terms of safety negatively impacted their interaction with the PLWH. The results of this study underline the need for active participation from the SKN Community and Government, to ensure the quality of life for PLWH, as this could have a boomeranging effect on the health of the society as a whole.

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 imitation

Not 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.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.393
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.128
GPT teacher head0.425
Teacher spread0.297 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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