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Record W1983575901 · doi:10.1016/j.jana.2005.05.003

Impact of Support Services Provided by a Community-Based AIDS Service Organization on Persons Living With HIV/AIDS

2005· article· en· W1983575901 on OpenAlexaffabout
Joan Crook, Gina Browne, Jacqueline Roberts, Amiram Gafni

Bibliographic record

VenueJournal of the Association of Nurses in AIDS Care · 2005
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsMcMaster University
Fundersnot available
KeywordsSocial supportGerontologyVulnerability (computing)Quality of life (healthcare)Government (linguistics)Health servicesMedicineSocial WelfareHuman immunodeficiency virus (HIV)Social isolationIsolation (microbiology)Service providerService (business)Environmental healthBusinessNursingPsychologyFamily medicinePsychiatryPopulationComputer securitySocial psychologyMarketingPolitical science

Abstract

fetched live from OpenAlex

This study examined demographic, health-related, social support, and service utilization characteristics of clients with high and low use of a community-based AIDS service organization in Canada. The study confirmed that the organizations' services were reaching the most vulnerable persons living with HIV/AIDS. It found that a significantly greater number of high users compared with low users were single, lived alone, and reported poorer health. The similarity in functional health status and depression between user groups, despite high users' poorer health and greater social vulnerability, supports client reports that services have reduced client isolation and improved health-related quality of life. Finally, high users had lower expenditures for government-provided health and social services overall, particularly HIV specialists and AIDS medication, but significantly more expenditures for emergency room services and complementary therapies. The results suggest community-based services can enhance health-related quality of life for persons living with HIV/AIDS by increasing providers' capacity to identify and address client depression and its consequences.

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)0.001
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 score0.148
Threshold uncertainty score0.384

Codex and Gemma teacher scores by category

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

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 head0.010
GPT teacher head0.317
Teacher spread0.307 · 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

Citations35
Published2005
Admission routes2
Has abstractyes

Explore more

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