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Record W3153574535 · doi:10.1016/j.ijid.2021.04.005

An exploratory study of factors associated with difficulties in accessing HIV services during the COVID-19 pandemic among Chinese gay and bisexual men in Hong Kong

2021· article· en· W3153574535 on OpenAlexfundno aff
Yiu Tung Suen, Randolph C. H. Chan, Eliz Miu Yin Wong

Bibliographic record

VenueInternational Journal of Infectious Diseases · 2021
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaResearch Grants Council, University Grants Committee
KeywordsPandemicCasualCoronavirus disease 2019 (COVID-19)Exploratory researchMedicinePsychologyDiseasePolitical scienceSociologyInfectious disease (medical specialty)Internal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has resulted in the disruption of provision of human immunodeficiency virus (HIV) services. This study examined the factors associated with difficulties in accessing HIV services during the COVID-19 pandemic. METHODS: An online survey of 236 Chinese-speaking gay and bisexual men in Hong Kong conducted in 2020. RESULTS: Among those who expressed a need to access HIV services during the COVID-19 pandemic, 22.9%, 33.9% and 43.2% indicated moderate-to-high, mild and no difficulties in accessing these services, respectively. Difficulties in accessing HIV services were positively related to concerns about potential COVID-19 infection, experience of actual impact on health because of COVID-19, disruption in work/studies, and reduced connection to the LGBT+ community during the pandemic. It was also found that difficulties in accessing HIV services were positively associated with frequency of having sex with casual partners, but were not significantly associated with frequency of having sex with regular partners. CONCLUSIONS: This study provides novel empirical evidence for understanding difficulties in accessing HIV services during the COVID-19 pandemic. It found that disruption in work/studies and frequency of having sex with casual partners were associated with difficulties in accessing HIV services.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.771

Codex and Gemma teacher scores by category

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

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 head0.034
GPT teacher head0.369
Teacher spread0.335 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations26
Published2021
Admission routes1
Has abstractyes

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