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Record W2951511385 · doi:10.1097/jnc.0000000000000103

Nursing Practice to Support People Living With HIV With Antiretroviral Therapy Adherence

2019· article· en· W2951511385 on OpenAlexafffund
Geneviève Rouleau, Lauralie Richard, José Côté, Marie‐Pierre Gagnon, Jérôme Pelletier

Bibliographic record

VenueJournal of the Association of Nurses in AIDS Care · 2019
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsUniversité LavalUniversité de Montréal
FundersFonds de Recherche du Québec - SantéCanadian Institutes of Health ResearchRéseau de recherche portant sur les interventions en sciences infirmières du Québec
KeywordsNursingPsychological interventionMedicineContext (archaeology)Antiretroviral therapyNursing Interventions ClassificationHuman immunodeficiency virus (HIV)Exploratory researchQualitative researchFamily medicineViral loadSociology

Abstract

fetched live from OpenAlex

Antiretroviral therapy (ART) management is a core competency for nursing practice in HIV as documented in best practice guidelines. Nurse-led interventions are effective in fostering ART adherence in people living with HIV (PLWH). However, these evidence-based interventions and professional expectations pertaining to these guidelines do not reflect current practice, nor do they expose the challenges faced by nurses. We conducted a qualitative exploratory study with nurses to explore their professional practices in the context of ART adherence. Sixteen nurses participated in data collection: nine in a focus group and seven in individual interviews. We identified four themes: building a therapeutic relationship with PLWH as a foundation of HIV nursing care; nursing activities to support PLWH with ART adherence; challenges faced by nurses providing ART-related care; and resource mobilization supporting nursing practice development in ART management and HIV care. Aspects of HIV nursing practice need to be strengthened to enhance best practice care, such as managing powerlessness in the context of ART nonadherence.

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 score0.089
Threshold uncertainty score0.207

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.012
GPT teacher head0.343
Teacher spread0.332 · 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

Citations50
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueJournal of the Association of Nurses in AIDS CareSame topicHIV/AIDS Research and InterventionsFrench-language works237,207