Evidence map›Paper›PMID 42912175›Full record

ArticleJournal of evaluation in clinical practice2026

Evaluating Humanisation in Intensive Care Nursing Practice: An Exploratory Study Using the HUMAS Scale.

Ángela Vázquez Villar, María José Ferreira Díaz

Abstract read
In one paragraph

Article in Journal of evaluation in clinical practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Ángela Vázquez VillarSchool of Nursing, University of Santiago de Compostela, Lugo, Spain.
María José Ferreira DíazSchool of Nursing, University of Santiago de Compostela, Lugo, Spain.ORCID https://orcid.org/0009-0001-9046-9560

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHumanised care is central to nursing practice, yet sustaining relational and emotionally responsive care may be particularly challenging in intensive care environments characterised by technological complexity, clinical instability and repeated exposure to suffering. Humanisation should therefore be understood not as a single professional attribute, but as a multidimensional and context-dependent aspect of nursing practice.

aimTo explore humanisation-related dimensions among nurses working in an adult intensive care unit using the Healthcare Professional Humanisation Scale (HUMAS).

methodsAn exploratory cross-sectional study was conducted among 32 nurses working in an adult intensive care unit. Humanisation-related dimensions were assessed using the Healthcare Professional Humanisation Scale (HUMAS). Descriptive analyses were used to examine scores across the dimensions evaluated by the instrument.

resultsSociability showed the highest mean score (4.4), followed by self-efficacy (3.9), optimistic disposition (3.7), affection (3.6) and emotional understanding (2.9). These aggregated means describe a numerical pattern within this sample. In the absence of reported measures of variability or statistical comparisons, they cannot establish differences between dimensions or explain how nurses expressed these attributes in clinical practice.

conclusionThe findings provide an exploratory description of humanisation-related dimensions among intensive care nurses and suggest that humanisation in this setting should be considered as a multidimensional construct. Further research using larger samples and more comprehensive statistical analyses is needed to examine these dimensions and their expression in intensive care practice.

Indexed as

Critical Care NursingHumanismNursing Staff, HospitalAdultAttitude of Health PersonnelCross-Sectional StudiesFemaleHumansIntensive Care UnitsMaleMiddle AgedSurveys and Questionnairescritical care nursinghumanisationintensive care unitsnurse–patient relationsperson‐centred carerelational care

Identifiers

PMID42912175
PMCPMC13690272

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.