Evidence map›Paper›PMID 39403529›Full record

ArticleHeliyon2024

Understanding of 'person-centred care' in an oncology ICU: Associative group analysis.

Yvonne Botma, Hannelie Herselman, Tanya Heyns

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 authors.

Yvonne BotmaSchool of Nursing (99), University of the Free State, P.O. Box 339, Bloemfontein, South Africa.
Hannelie HerselmanSchool of Nursing (99), University of the Free State, P.O. Box 339, Bloemfontein, South Africa.
Tanya HeynsDepartment of Nursing, University of Pretoria, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To describe how healthcare professionals, patients, and their significant others understand the concept of 'person-centred care' in an oncology ICU. Methods: This study followed the associative group analysis (AGA) method, a quali-quantitative research approach.The population included healthcare professionals, their patients, and significant others in a four-bed oncology adult intensive care unit. Whole population sampling (n = 22) allowed all healthcare professionals to participate. Maximum variation purposive sampling was used to identify patients and their significant others (n = 22). Data were collected during either face-to-face or telephonic individual interviews. Free associations were weighted using a validated weighting system. Words with similar meanings were then grouped into themes. The themes were then deductively grouped according to the domains of the Person-centred Practice Framework. Results: Participants had a limited understanding of person-centred care and could only identify six of the 23 constructs of the Person-centred Practice Framework. Healthcare professionals embraced the idea of person-centred care, but their understanding of the concept remains vague. Person-centred care remains conceptual in this oncology intensive care unit because the interpretation and operationalisation of the concept are misaligned at various health service levels. Conclusion: Organisations should invest in work-based learning to enable staff to understand the concept of person-centred care. Healthcare workers also need to self-evaluate how they work and be able to adjust their working style to be more person-centred.

Indexed as

Associated group analysisHealthcare professionalsPatientsPerson-centred practice frameworkSignificant others

Identifiers

PMID39403529
PMCPMC11471458

What OpenQuestion holds

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Registered trials

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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.