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Record W2084888449 · doi:10.1258/0956462011923598

Quality of life among urban Canadian HIV/AIDS clinic outpatients

2001· article· en· W2084888449 on OpenAlexaffabout
Robert W. Burgoyne, Douglas S. Saunders

Bibliographic record

VenueInternational Journal of STD & AIDS · 2001
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsToronto General HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineAsymptomaticQuality of life (healthcare)Outpatient clinicPopulationHuman immunodeficiency virus (HIV)GerontologyPhysical therapyInternal medicineFamily medicineEnvironmental health

Abstract

fetched live from OpenAlex

Perceived health-related quality of life (QOL) of 113 adult people living with HIV/AIDS (PHA) attending an outpatient hospital clinic was assessed upon initial registration using the Medical Outcomes Study SF-36. QOL ratings on both physical functioning and psychological well-being aspects of the SF-36 were lower than for the general population, especially among PHA in the sample who were symptomatic or for whom AIDS had developed. Although not compromised in terms of physical functioning, asymptomatic PHA had well-being QOL scores comparable to other chronic medical conditions. In general, demographic, social, and many of the health and immune status variables examined were not significantly related to QOL. Number of symptoms was negatively associated with both physical status and emotional well-being dimensions of QOL. PHA in the asymptomatic stage of HIV infection reported better QOL than symptomatic/AIDS patients on few QOL dimensions. Mean QOL ratings did not significantly differ between AIDS patients and those with symptomatic (non-AIDS) infection. These findings suggest that although becoming symptomatic has a significant impact on a majority of dimensions of QOL, being diagnosed with HIV affects well-being dimensions the most. An emphasis on support for both adjusting to diagnosis and symptom management is as important as viral suppression in maximizing QOL for PHA.

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)0.001
metaresearch head score (Gemma)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.051
GPT teacher head0.389
Teacher spread0.338 · 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 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

Citations67
Published2001
Admission routes2
Has abstractyes

Explore more

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