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Record W1986128390 · doi:10.1080/09540121.2013.793279

Revelations of HIV-infected patients treated with highly active antiretroviral therapy (HAART) in rural Uganda

2013· article· en· W1986128390 on OpenAlexafffund
Nancy Bedingfield, Walter Kipp, Amy Kaler, Tom Rubaale

Bibliographic record

VenueAIDS Care · 2013
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsUniversity of AlbertaAlberta Health Services
FundersCanadian Institutes of Health ResearchHealth Research Board
KeywordsAntiretroviral therapyPsychosocialMedicineHuman immunodeficiency virus (HIV)Qualitative researchFocus groupAgency (philosophy)Family medicinePsychiatryViral load

Abstract

fetched live from OpenAlex

The purpose of this qualitative study was to explore the psychosocial changes revealed by persons living with HIV/AIDS (PLWHA) in western Uganda as a result of the introduction of highly active antiretroviral therapy (HAART). Fourteen participants were interviewed on two occasions. Two focus groups discussions were also conducted. Patients experienced important personal benefits as a result of HAART and the resulting clinical improvement. These benefits included a restoration of hope, self-esteem and personal agency. Patients were also relieved of the great fear which they had about the conditions of their death. The financial and social struggles introduced by AIDS illness continued after the introduction of HAART. The conclusion is that the HAART programs should provide more holistic care to patients to address the persistent family issues identified in this study.

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)0.008
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0120.010
Scholarly communication0.0030.003
Open science0.0020.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.276
Teacher spread0.267 · 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 designQualitative
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

Citations6
Published2013
Admission routes2
Has abstractyes

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