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Non healing leg ulcers and the nurse–patient relationship. Part 1: the patient’s perspective

2008· article· en· W4230297276 on OpenAlexaff
Philip A Morgan, Christine Moffatt

Bibliographic record

VenueInternational Wound Journal · 2008
Typearticle
Languageen
FieldMedicine
TopicDiagnosis and Treatment of Venous Diseases
Canadian institutionsThames Valley Children's Centre
Fundersnot available
KeywordsMedicinePerspective (graphical)Qualitative researchNursingCoping (psychology)Leg ulcerHolistic nursingCommunity nursingClinical psychologySurgery

Abstract

fetched live from OpenAlex

Abstract This paper reports on a study that explored the relationship between patients with non healing leg ulcers and the nurses providing their care in a community setting. Qualitative data were collected from five patients whose leg ulcers were healing and who had been identified as experiencing difficulty with adhering to treatment. Single semi‐structured interviews were used and participants were asked to share key events in their care prompted by the question ‘how are you coping with your leg ulcer?’ Striving to maintain balance by developing strategies to cope with the physical effects of an unhealed ulcer as well as ensuring the care they received met their unique needs was central to the experience of participants. From the participant’s perspective, however, nurses often showed little understanding of the complex issues patients were grappling with. Patients, in viewing nurse behaviour, often concluded that leg ulceration was an insignificant problem that nurses had little interest in. The need to establish and to maintain a trusting therapeutic relationship with patients is essential if they are to feel they matter, that they are important as individuals and that their suffering can be eased by sensitive collaboration.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.107
Threshold uncertainty score0.493

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 studies0.0010.000
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 head0.022
GPT teacher head0.287
Teacher spread0.265 · 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

Citations15
Published2008
Admission routes1
Has abstractyes

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