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Record W2004458169 · doi:10.7448/ias.17.4.19616

Reduced HIV symptoms and improved health‐related quality of life correlate with better access to care for HIV‐1 infected women: the ELLA study

2014· article· en· W2004458169 on OpenAlexaboutno aff
Robert W. Baran, Fiona Mulcahy, Ivanka Krznaric, Antonella d’Arminio Monforte, А. В. Самарина, Xi He, Isabel Cassetti, José Valdez Madruga, Woodie Zachry, Jean van Wyk, Marisol Martínez

Bibliographic record

VenueJournal of the International AIDS Society · 2014
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDemographyQuality of life (healthcare)ResidenceHuman immunodeficiency virus (HIV)GerontologyStatistical significanceDistressHealth careFamily medicineInternal medicineClinical psychology

Abstract

fetched live from OpenAlex

INTRODUCTION: Global HIV-1 prevalence is 35.3 million [1]; women comprise >50% of those infected. The majority of women may lack regular care and only one-fourth are virologically suppressed [2]. ELLA is a cross-sectional, non-interventional study conducted across Europe, Latin America, Canada and Asia that describes barriers to care for HIV-infected women and associations with disease stage, symptoms and health-related quality of life (HRQoL). METHODS: HIV-infected women eligible for ELLA (≥18 years) completed: Barrier to Care Scale (BACS) comprising 12 items in four domains (Index range 0-12, Overall range 1-4, greater=more barriers, Overall score ≥2 considered severe); AIDS Clinical Trials Group (ACTG) Health Status Assessment comprising 21 items assessing 9 HRQoL domains (range 0-100, greater=better); and ACTG Symptom Distress Module comprising 20 symptoms rated on bother (range 0-4, greater=more bother). Healthcare providers documented medical history and HIV clinical data. Correlations of BACS response and last reported VL/CD4 count with HIV symptoms and HRQoL were analyzed. Spearman rank order was used to test correlations with statistical significance set at p<0.05. RESULTS: Enrollment: 1931 women from 30 countries; mean age 40 years (16.9% >50 years); 47.7% education <12 years; 36% unemployed; 82.9% urban residence. HIV was acquired heterosexually in 83.0%; 88.2% of subjects were on ART; 57.5% had VL<50 c/ml; mean CD4 was 540.5 c/µL. Mean [SD] BACS Index and Overall scores were 6.19 [3.47] (N=1818) and 2.09 [0.71] (N=1922), respectively. Stigma was a prominent barrier. Lower (better) BACS Index and Overall scores correlated with better HRQoL on all nine domains (p<0.0001). Lower VL and greater CD4 count were both correlated with better HRQoL for eight of nine domains (p<0.04, p≤0.0002, respectively) excepting pain. Lower BACS Index and Overall scores correlated with fewer symptom count and less symptom bother (p<0.0001). Fewer symptom count and less symptom bother correlated with better HRQoL on all nine domains (p<0.0001). While greater CD4 count correlated with fewer HIV symptoms and less bother (p<0.0001), VL did not significantly correlate with either. CONCLUSIONS: In HIV-infected women, reduced barriers to care correlated with fewer symptoms, less symptom bother and better HRQoL. Improved HRQoL may be mediated by greater CD4 counts and fewer symptoms. Better access to care may improve HRQoL outcomes in this population.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.024
GPT teacher head0.358
Teacher spread0.334 · 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 source (direct Gemma or distilled Codex), 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".

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Citations11
Published2014
Admission routes1
Has abstractyes

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