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Record W2006563167 · doi:10.1177/1043659607301301

Nursing Care of AIDS Patients in Uganda

2007· article· en· W2006563167 on OpenAlex
Bonnie Fournier, Walter Kipp, Judy Mill, Mariam Walusimbi

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Transcultural Nursing · 2007
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsFocus groupNursingMedicineReferralGovernment (linguistics)Participatory action researchPovertyPhotovoiceFamily medicinePolitical scienceEconomic growth

Abstract

fetched live from OpenAlex

This article reports the findings from a participatory action research study concerning the experience of Ugandan nurses caring for individuals with HIV illness. Six key informants from government and non-governmental organizations were interviewed using a semistructured format. Six nurses from a large national referral hospital in Kampala, Uganda, participated in 10 focus group meetings during a period of 11 months. In-depth interviews, focus groups, and photovoice were used to collect the data. Findings indicate that nurses faced many challenges in their daily care, including poverty, insufficient resources, fear of contagion, and lack of ongoing education. Nurses experienced moral distress due to the many challenges they faced during the care of their patients. Moral distress may lead nurses to quit their jobs, which would exacerbate the acute shortage of nurses in Uganda. This study provides important knowledge for guiding clinical practice and nursing education in resource-constrained countries like Uganda.

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.

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)0.000
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 score0.305
Threshold uncertainty score0.265

Codex and Gemma teacher scores by category

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

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 head0.311
Teacher spread0.301 · 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