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Record W3012481482 · doi:10.1002/nop2.465

Sustaining hope: A narrative inquiry into the experiences of hope for nurses who work alongside people living with HIV in Ghana

2020· article· en· W3012481482 on OpenAlexafffund
Gideon L. Puplampu, Vera Caine, Jean Clandinin

Bibliographic record

VenueNursing Open · 2020
Typearticle
Languageen
FieldPsychology
TopicOptimism, Hope, and Well-being
Canadian institutionsUniversity of Alberta
FundersCanadian Institutes of Health Research
KeywordsNarrativeNarrative inquiryNursingTemporalityFaithQualitative researchFocus groupPsychologyParticipant observationHuman immunodeficiency virus (HIV)BurnoutWorkloadMedicineSociologyFamily medicine

Abstract

fetched live from OpenAlex

Aim: In this research, we explored how nurses working in HIV care in Ghana live and work with hope. Background: Nurses who work with people living with HIV have concerns about their well-being and quality of life. They also complain of stress-related workload due to high nurse-patient ratio. The study sought to examine the experiences of nurses in Ghana and the ways that hope is intertwined with their experiences in working with people living with HIV. Design: This study was a narrative inquiry study. Narrative inquiry is a collaborative way to inquire into participants' experiences in the three-dimensional spaces of temporality, sociality and place. Methods: We engaged with five nurses who work in an acute care setting where their primary focus is to provide care to people living with HIV. We engaged in six to eight conversations with each participant over several months. We asked participants to describe memories of significant experiences in their past and present lives, and share experiences that they would describe hopeful in their HIV nursing practice. Results: In this narrative inquiry study, four resonant threads emerged and included: (a) becoming a nurse for people living with HIV took time; (b) experiences of practising with hope were important; (c) faith in God, allowed them to gain strength, which was connected to hope; and (d) learning to live with hope was shaped by childhood experiences.

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)0.000
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.674

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.033
GPT teacher head0.352
Teacher spread0.319 · 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 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

Citations10
Published2020
Admission routes2
Has abstractyes

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