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Record W4412088994 · doi:10.56294/nds2024101

Impact of Chronic Wounds on Quality of Life: A Review from the Perspective of Humanized Care

2025· review· en· W4412088994 on OpenAlexaboutno aff
Yessika Jaimes Contreras, M. Pulido, Mayerli Katherine Rincón Romero

Bibliographic record

VenueNursing Depths Series · 2025
Typereview
Languageen
FieldMedicine
TopicHealthcare Systems and Public Health
Canadian institutionsnot available
Fundersnot available
KeywordsPerspective (graphical)Quality of life (healthcare)MedicineIntensive care medicineQuality (philosophy)NursingComputer scienceEpistemologyArtificial intelligencePhilosophy

Abstract

fetched live from OpenAlex

Introduction: Chronic wounds are characterized by slow healing, difficult scarring, and duration of more than three months. They not only affect the body physically, but also have an emotional, social, and psychological impact on those who suffer from them. The consequences include pain, foul odor, excessive exudate, social exclusion, and impaired self-esteem, which significantly reduce health-related quality of life (HRQoL).Development: Through an international, national, and local literature review, it was found that people with chronic wounds faced functional, emotional, and economic difficulties. In Canada, Brazil, and Colombia, limitations in performing basic activities, dependence on caregivers, and a high emotional burden due to persistent symptoms were reported. The predominant sociodemographic characteristics included women over 60 years of age, with low educational attainment, minimal income, and no partner. In the theoretical framework, humanistic nursing theory was integrated, promoting a holistic approach to care, centered on empathy and patient accompaniment, recognizing their individuality and social environment.Conclusions: The study concluded that chronic wounds significantly compromised several dimensions of HRQoL. Pain was the most frequent symptom, and social exclusion was a common consequence. The need for interdisciplinary care that considers not only physical treatment but also emotional and social support was reaffirmed. Humanized care was established as a key strategy for improving patients' experience and overall well-being.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.581
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.114
GPT teacher head0.509
Teacher spread0.396 · 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.

Study designSystematic review
Domainnot available
GenreReview

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

Citations0
Published2025
Admission routes1
Has abstractyes

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